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2020 epilepsy
e4

Autonomic nervous system changes detected with peripheral sensors in the setting of epileptic seizures.

Vieluf, Solveig, Reinsberger, C., Rima, E.A., Jackson, M., Schubach, S. et al. (2020)

Epilepsia.

2020 epilepsy
e4

Signal quality and patient experience with wearable devices for epilepsy management.

Nasseri, Mona, Nurse, E., Glasstetter, M., Böttcher, S., Gregg, N., Nandakumar, A. L., Joseph, B., Pal Attia, T., Viana, P., Bruno, E., et al. (2020).

Epilepsia.

2020 epilepsy
e4

Artificial intelligence in medicine: Today and tomorrow.

Briganti, Giovanni, & Le Moine, O. (2020).

Frontiers in Medicine.

2020 epilepsy
e4

Artificial intelligence in medicine: Today and tomorrow.

Briganti, Giovanni, & Le Moine, O. (2020).

Frontiers in Medicine.

2020 epilepsy
2020 epilepsy

Post‐ictal accelerometer silence as a marker of post‐ictal immobility.

Bruno, Elisa, Böttcher, S., Biondi, A., Epitashvili, N., Manyakov, N., Lees, S., Schulze-Bonhage, A., & Richardson, M. (2020).

Epilepsia.

2020 epilepsy

Noninvasive detection of focal seizures in ambulatory patients.

Ryvlin, Philippe, Cammoun, L., Hubbard, I., Ravey, F., Beniczky, S., & Atienza, D. (2020).

Epilepsia.

2020 monitoring

Continuous physiological monitoring using wearable technology to inform individual management of infectious diseases, public health and outbreak responses.

Ming, Damien, Sangkaew, S., Chanh, Ho., Nhat, P., Yacoub, S., Georgiou, P., & Holmes, A. (2020).

International Journal of Infectious Diseases.

2020 other

Assessment of the potential of wrist-worn wearable sensors for driver drowsiness detection.

Kundinger, Thomas, Sofra, N., & Riener, A. (2020).

Sensors (Basel, Switzerland).

2020 other

An emotional roller coaster: Electrophysiological evidence of emotional engagement during a coller-Coaster ride with virtual reality add-on.

Bastiaansen, Marcel, Oosterholt, M., Mitas, O., Han, D., & Lub, X. (2020).

Journal of Hospitality & Tourism Research.

2020 other

Framework for selecting and benchmarking mobile devices in psychophysiological research.

Kleckner, Ian R., Feldman, M., Goodwin, M., & Quigley, K. (2020).

Behavior Research Methods.

2020 stress

Distinguishing anxiety subtypes of English language learners towards augmented emotional clarity.

Lee, Heera, Mandalapu, V., Kleinsmith, A., & Gong, J. (2020).

Artificial Intelligence in Education.

2020 sleep

Making sense of sleep: Multimodal sleep stage classification in a large, diverse population using movement and cardiac sensing.

Zhai, Bing, Perez-Pozuelo, I., Clifton, E., Palotti, J., & Guan, Y. (2020).

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.

2020 other

Adaptive, Real-time, Intelligent System to Enhance Self-care of Chronic Disease (ARISES).

Imperial College London. (2020).

Imperial College Clinical Research Facility. London, United Kingdom.

2020 stress

StressFoot: Uncovering the potential of the foot for acute stress sensing in sitting posture.

Elvitigala, Don, S., Matthies, D., & Nanayakkara, S. (2020)

Sensors (Basel)

2020 stress

Exploring bio-behavioral signal trajectories of state anxiety during public speaking

Nirjhar, Haque Ehsanul, Behzadan, A., Chaspari, T. (2020)

2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

2020 stress
e4

How to relax in stressful situations: A smart stress reduction system.

Said Can, Yekta, Iles-Smith, H., Chalabianloo, N., Ekiz, D., Fernández-Álvarez, J., Repetto, C., Riva, G., Ersoy, C. (2020)

General Psychology and Communication Psychology, Catholic University of Milan

2020 stress

Objective measurement of physician stress in the emergency department using a wearable sensor.

Kaczor, Eric, Carreiro, S., Stapp, J., Chapman, B., Indic, P. (2020)

Proceedings of the 53rd Hawaii International Conference on System Sciences | 2020

2020 epilepsy

From seizure detection to prediction: A review of wearables and related devices applicable to epileptic seizure prediction via peripheral measurements.

Abreu, Mariana, Fred, A., Plácido da Silva, H., Wang, C. (2020)

IT - Instituto de Telecomunicações. Instituto Superior Técnico, Lisboa, Portugal.

2020 other

Artificial intelligence in medicine: today and tomorrow.

Briganti, Giovanni, Le Moine, O. (2020).

Medical Informatics, School of Medicine, Université Libre de Bruxelles, Brussels, Belgium.

2020 other

Review of consumer wearables in emotion, stress, meditation, sleep and activity detection and analysis.

Saganowski, Stanisław, Kazienko, P., Dziezyc, M., Jakimów, P., Komoszynska, J., Michalska, W. (2020)

Department of Computational Intelligence Faculty of Computer Science and Management Wrocław University of Science and Technology Wrocław, Poland.

2020 other

Psychophysiologic measures of cognitive lead in physician team leaders during trauma resuscitation.

Johhannessen, Erika, Szulewski, A., Radulovic, N., White, M., Braund, H., Howes, D., Rodenburg, D., Davies, C. (2020)

Computers in Human Behavior.

2020 other

Music emotion detection: A framework based on electrodermal activities.

Pozzi, Gioele. (2020)

Dipartimento di Elettronica, Informazione e Bioingegneria. Politecnico di Milano.

2020 monitoring
e4

Objective measurement of physicians stress in the emergency department using a wearable sensor.

Kaczor, Eric, Carreiro, S., Stapp, J., Chapman, B., & Indic, P. (2020).

Personal Health and Wellness Management with Technologies.

2020 e4

Stressing the accuracy: Wrist-worn wearable sensor validation over different conditions.

Menghini, L., Gianfranchi, E., Cellini, N., Patron, E., Tagliabue, M., Sarlo, M. (2020).

Psychophysiology (Journal).

2020 e4

Pedometer-measured physical activity among emergency physicians during shifts.

Peters, G. A., Wong, M. L., & Sanchez, L. D. (2020).

The American Journal of Emergency Medicine, 38(1), 118–121.

2020 monitoring
e4

Monitoring skin temperature at the wrist in hospitalised patients may assist in the detection of infection.

Holt, SG, Yo, JH., Karschimkus, C., Volpato, F., Christov, S., Smith, ER., Hewitson, TD., Worth, LJ., & Champion De Crespigny, P. (2019).

Intern Med J. 2020 Jan 6.

2019 epilepsy
2019 epilepsy
e4

Machine learning applications in epilepsy.

Abbasi, Bardia, & Goldenholz, D. (2019).

Epilepsia.

2019 e4

A standardized validity assessment protocol for physiological signals from wearable technology: Methodological underpinnings and an application to the E4 biosensor.

Van Lier, Hendrika, Pieterse, M., Garde, A, Postel, M., De Haan, H., Vollenbroek-Hutten, M., Schraagen, J., & Noordzij, M. (2019).

Behavior Research Methods.

2019 other

Evaluation of a VR system for Pain Management using binaural acoustic stimulation.

Perales, Francisco, Riera, L., Ramis, S., & Guerrero, A. (2019).

Multimedia Tools and Applications, Springer Science+Business Media

2019 e4

Associations between heart rate variability measured with a wrist-worn sensor and older adult’s physical function: Observational study.

Graham, S., A., Jeste, D. V., Lee, E. E., Wu, T.-C., Tu, X., Kim, H.-C., & Depp, C. A. (2019).

JMIR MHealth and UHealth, 7(10).

2019 e4

Detecting Moments of Stress from Measurements of Wearable Physiological Sensors.

Kyriakou, K., Resch, B., Sagl, G., Petutschnig, A., Werner, C., Niederseer, D., Liedlgruber, M., Wilhelm, F. H., Osborne, T., & Pykett, J. (2019).

Sensors, 19(17), 3805.

2019 e4

Stressing the accuracy: Wrist‐worn wearable sensor validation over different conditions.

Menghini, L., Gianfranchi, E., Cellini, N., Patron, E., Tagliabue, M., & Sarlo, M. (2019).

Psychophysiology, 56(11).

2019 e4

Multi-Modal Acute Stress Recognition Using Off-the-Shelf Wearable Devices.

Montesinos, V., Dell’Agnola, F., Arza, A., Aminifar, A., & Atienza, D. (2019).

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2196–2201.

2019 e4

Sleep quality prediction in caregivers using physiological signals.

Sadeghi, R., Banerjee, T., Hughes, J. C., & Lawhorne, L. W. (2019).

Computers in Biology and Medicine, 110, 276–288.

2019 other

Artificial intelligence as an emerging technology in the current care of neurological disorders.

Patel, Urvish, Anwar, A., Saleem, S., Malik, P., Raoul, B., Patel, K., Yao, R., Seshadri, A., Yousufuddin, M., Arumaithurai, K. (2019)

Journal of Neurology

2019 monitoring
e4

Reliable respiratory rate extraction using PPG.

Pollreisz, David, & Taherinejad, N. (2019).

2020 IEEE 11th Latin American Symposium on Circuits & Systems (LASCAS).

2019 e4

Physiological monitoring of aerospace crew state.

Wusk, Grace, Abercromby, A., & Gabler, H. (2019).

Virginia Tech, NASA Johnson Space Center.

2019 seizure detection

Prospective Evaluation of Generalized Tonic-Clonic Seizure Multimodal Detection Comparison between Pediatric and Adult Cohorts in EMU.

Onorati, Francesco, Regalia, G., Caborni, C., LaFrance, W. C., Blum, A. S., Bidwell, J., De Liso, P., El Atrache, R., Loddenkemper, T., Mohammadpour-Touserkani, F., Sarkis, R. A., Friedman, D., Jaschke, J., & Picard, R. (2019).

American Epilepsy Society 73rd Annual Meeting 2019, Baltimore, MD, USA.

2019 seizure detection

Prospective evaluation of seizure detection performance of the Embrace wristband on pediatric patients in the epilepsy monitoring unit.

Caborni, Chiara, Onorati, F., De Liso, P., Fusco, L., & Vigevano, F. (2019).

2nd International Congress on Mobile Devices and Seizure Detection in Epilepsy. Lausanne, Switzerland.

2019 seizure detection

Wrist accelerometry-based detection of nocturnal myoclonic seizures.

Onorati, Francesco, Babilliot, L., Regalia, G., El Atrache, R., & Picard, R. (2019).

2nd International Congress on Mobile Devices and Seizure Detection in Epilepsy. Lausanne, Switzerland.

2019 seizure detection

Improvement of generalized tonic-clonic seizure detection by Embrace wristband on inpatient and outpatient data.

Regalia, Giulia, Caborni, C., Migliorini, M., Picard, R., & Onorati, F. (2019)

2nd International Congress on Mobile Devices and Seizure Detection in Epilepsy. Lausanne, Switzerland.

2019 seizure detection

Multimodal wrist-worn devices for seizure detection and advancing research: Focus on the Empatica wristbands.

Regalia, Giulia, Onorati, F., Lai, M., Caborni, C., & Picard, R. W. (2019).

Epilepsy Research, 153, 79–82.

2019 stress

Public speaking anxiety in a real classroom: Towards developing a reflection system.

Lee, H., & Kleinsmith, A. (2019).

Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

2019 e4
other

Using unobtrusive wearable sensors to measure the physiological synchrony between presenters and audience members.

Gashi, S., Di Lascio, E., & Santini, S. (2019).

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 3(1), 13:1–13:19.

2019 e4
other

A machine learning-based approach for collaborative non-adherence detection during opioid abuse surveillance using a wearable biosensor.

Singh, R., Lewis, B., Chapman, B., Carreiro, S., & Venkatasubramanian, K. (2019).

Biomedical Engineering Systems and Technologies, International Joint Conference, BIOSTEC

2018 other

Towards technology-based interventions for improving emotional and cognitive control.

Flobak, Eivind, Jensen, D., Lundervold, A., Nordgreen, T., Chen, L., & Guribye, F. (2018).

Extended Abstracts of the 2018 CHI Conference.

2018 monitoring
e4

Using sensor technology to capture the structure and content of team interactions in medical emergency teams during stressful moments.

Endedijk, Maaike, Hoogeboom, M., Groenier, M., De Laat, S., & Van Sas, J. (2018).

Vol 6 No 3 (2018): Frontline Learning Research: Special issue (Part 1).

2018 e4

Using wearable technology to detect the autonomic signature of illness severity in schizophrenia.

Cella, Matteo, Okruszek, Ł., Lawrence, M., Zarlenga, V., He, Z., & Wykes, T.(2018).

Schizophrenia Research.

2018 e4

Using sleet time data from wearable sensors for early detection of migraine attacks.

Siirtola, Pekka, Koskimäki, H., Mönttinen, H., & Röning, J. (2018).

Sensors (Basel, Switzerland), 18(5).

2018 seizure detection

Autonomic characterization of non-convulsive seizures based on wrist-worn sensors.

Babilliot, L., Regalia, G., Caborni, C., Picard, R., & Onorati, F. (2018).

American Epilepsy Society 72nd Annual Meeting 2018, New Orleans.

2018 seizure detection

Clinical evaluation of the Embrace smartwatch detection capability of generalized tonic-clonic seizures recorded at the ankles.

Caborni, Chiara, Regalia, G., Onorati, F., & Picard, R. (2018).

American Epilepsy Society 72nd Annual Meeting 2018, New Orleans.

2018 seizure detection

Common data elements for epilepsy mobile health systems.

Goldenholz, D. M., Moss, R., Jost, D. A., Crone, N. E., Krauss, G., Picard, R., Caborni, C., Cavazos, J. E., Hixson, J., Loddenkemper, T., Salazar, T. D., Lubbers, L., Harte‐Hargrove, L. C., Whittemore, V., Duun‐Henriksen, J., Dolan, E., Kasturia, N., Oberemk, M., Cook, M. J., … Shafer, P. O. (2018).

Epilepsia, 59(5), 1020–1026.

2018 seizure detection

Performance assessment of Embrace, the first FDA approved smartwatch for convulsive seizure detection.

Lai, M., Regalia, G., Caborni, C., Onorati, F., & Picard, R. (2018).

Partners Against Mortality in Epilepsy meeting.

2018 seizure detection

Performance of a wrist-worn multimodal seizure detection system for more than a year in real-life settings.

Onorati, Francesco, Caborni, C., Guzman, M. F., Regalia, G., & Picard, R. W. (2018).

2018 seizure detection

Sleep and memory consolidation in older patients with epilepsy: A neurophysiologic analysis.

Sarkis, R. A., Puri, N., Putta, S., Caborni, C., Regalia, G., Picard, R., Pavlova, M., & Stickgold, R. (2018).

American Epilepsy Society 72nd Annual Meeting 2018, New Orleans.

2018 e4
other

HealthyClassroom: A proof-of-concept study for discovering students’ daily moods and classroom emotions to enhance a learning-teaching process using heterogeneous sensors.

Dao, M., & Dang Nguyen, D. T. (2017, November 12).

International Conference on Pattern Recognition Applications and Methods 2018.

2018 sudep

Sudden unexpected death in epilepsy: Risk factors, biomarkers, and prevention.

DeGiorgio, C. M., Curtis, A., Hertling, D., & Moseley, B. D. (2018).

Acta Neurologica Scandinavica.

2018 monitoring
e4

Using sensor technology to capture the structure and content of team interactions in medical emergency teams during stressful moments.

Endedijk, M., Hoogeboom, M., Groenier, M., de Laat, S., & van Sas, J. (2018).

Frontline Learning Research, 123–147.

2018 other

An inter-domain study for arousal recognition from physiological signals.

Gjoreski, M., Mitrevski, B., Luštrek, M., & Gams, M.

Informatica, 42(1).

2018 e4
other

EngageMon: Multi-modal engagement sensing for mobile games.

Huynh, S., Kim, S., Ko, J., Balan, R. K., & Lee, Y. (2018).

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2(1), 13:1–13:27.

2018 seizure detection

Are the days of counting seizures numbered?

Karoly, P., Goldenholz, D. M., & Cook, M. (2018).

Current Opinion in Neurology, 31(2), 162–168.

2018 e4
stress

Just Breathe: In-car Interventions for guided slow breathing.

Paredes, P. E., Zhou, Y., Hamdan, N. A.-H., Balters, S., Murnane, E., Ju, W., & Landay, J. A. (2018).

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2(1), 28:1–28:23.

2018 other

Evaluation of the accuracy and reliability for photoplethysmography based heart rate and beat-to-beat detection during daily activities.

Pietilä, J., Mehrang, S., Tolonen, J., Helander, E., Jimison, H., Pavel, M., & Korhonen, I. (2018).

EMBEC & NBC 2017 (pp. 145–148). Springer Singapore.

2018 other

Profiling sympathetic arousal in a physics course: How active are students?

Pijeira-Díaz, H.J., Drachsler, H., Kirschner, P. A., & Järvelä, S. (2018).

Journal of Computer Assisted Learning, 34(4), 397–408.

2018 e4
other

Recent trends in machine learning for human activity recognition—A survey.

Ramamurthy, S. R., & Roy, N. (2018).

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery.

2018 e4
other

Tracking technologies and urban analysis: Adding the emotional dimension.

Shoval, N., Schvimer, Y., & Tamir, M. (2018).

Cities, 72, Part A, 34–42.

2018 e4
other

Using sleep time data from wearable sensors for early detection of migraine attacks.

Siirtola, P., Koskimäki, H., Mönttinen, H., & Röning, J. (2018).

Sensors, 18(5), 1374.

2018 e4
other

Continuous blood pressure estimation from PPG signal.

Slapničar, G., Luštrek, M., & Marinko, M. (2018).

Informatica, 42(1).

2018 epilepsy

RADAR-base: Major depressive disorder and epilepsy case studies.

Stewart, C. L., Rashid, Z., Ranjan, Y., Sun, S., Dobson, R. J. B., & Folarin, A. A. (2018).

International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 1735–1743.

2018 other

A review of wearable solutions for physiological and emotional monitoring for use by people with autism spectrum disorder and their caregivers.

Taj-Eldin, M., Ryan, C., O’Flynn, B., & Galvin, P. (2018).

Sensors (Basel, Switzerland), 18(12).

2018 seizure detection

Seizure detection: Do current devices work? And when can they be useful?

Zhao, X., & Lhatoo, S. D. (2018).

Current Neurology and Neuroscience Reports, 18(7).

2017 e4

Assessment of physiological signals during happiness, sadness, pain or anger.

TaheriNejad, N., & Pollreisz, D. (2017).

Wireless Mobile Communication and Healthcare (Vol. 192, pp. 107–114). Springer International Publishing.

2017 e4

A simple algorithm for emotion recognition, using physiological signals of a smart watch.

Pollreisz, D., & TaheriNejad, N. (2017).

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2353–2356.

2017 seizure detection

Multicenter clinical assessment of improved wearable multimodal convulsive seizure detectors.

Onorati, Francesco, Regalia, G., Caborni, C., Migliorini, M., Bender, D., Poh, M.-Z., Frazier, C., Kovitch Thropp, E., Mynatt, E. D., Bidwell, J., Mai, R., LaFrance, W. C., Blum, A. S., Friedman, D., Loddenkemper, T., Mohammadpour-Touserkani, F., Reinsberger, C., Tognetti, S., & Picard, R. W. (2017).

Epilepsia, 58(11), 1870–1879.

2017 sudep

Wrist sensor reveals sympathetic hyperactivity and hypoventilation before probable SUDEP.

Picard, R. W., Migliorini, M., Caborni, C., Onorati, F., Regalia, G., Friedman, D., & Devinsky, O. (2017).

Neurology.

2017 e4

Detection of atrial fibrillation episodes using a wristband device.

Corino, VDA., Laureanti, R., Ferranti, L., Scarpini, G., Lombardi, F., & Mainardi, Lt. (2017).

Physiological Measurement Vol.38.

2017 seizure detection

Real time Performance in Outpatient Settings for Embrace Seizure Detection System with User-Adjustable Sensitivity.

Regalia, G., Caborni, C., Picard, R., & Onorati, F. (2017).

American Epilepsy Society 71st Annual Meeting 2017, Washington D.C.

2017 seizure detection

Real time seizure detection performance with Embrace alert system, One year real-life setting case study.

Regalia, G., Caborni, C., Migliorini, M., Onorati, F., & Picard, R. W. (2017).

1st International congress on mobile health devices and seizure detection in epilepsy, Copenhaghen.

2017 seizure detection

Tuning decision thresholds for active/rest periods significantly improves seizure detection algorithm performance, An evaluation using Embrace Smartwatch on outpatient settings.

Caborni, C., Migliorini, M., Onorati, F., Regalia, G., & Picard, R. (2017).

32nd International Epilepsy Congress, Barcelona.

2017 e4
other

ADMemento: A prototype of activity reminder and assessment tools for patients with Alzheimer’s Disease. Social computing and social media.

Alhassan, S., Alrajhi, W., Alhassan, A., & Almuhrij, A. (2017).

Applications and Analytics, 32–43.

2017 e4
other

Skin conductance as an in situ marker for emotional arousal in children with neurodevelopmental communication impairments: Methodological considerations and clinical implications.

Betancourt, M. A., Dethorne, L. S., Karahalios, K., & Kim, J. G. (2017).

ACM Transactions on Accessible Computing, 9(3), 1–29.

2017 e4
other

Sleep Devices: Wearables and nearables, informational and interventional, consumer and clinical.

Bianchi, M. T. (2017).

Metabolism - Clinical and Experimental, 0(0).

2017 e4
other

Using wearable technology to detect the autonomic signature of illness severity in schizophrenia.

Cella, M., Okruszek, Ł., Lawrence, M., Zarlenga, V., He, Z., & Wykes, T. (2017).

Schizophrenia Research, In Press.

2017 e4
stress

Deep structures of collaboration: Physiological correlates of collective intelligence and group satisfaction.

Chikersal, P., Tomprou, M., Kim, Y. J., Woolley, A. W., & Dabbish, L. (2017).

20th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2017).

2017 e4
stress

Racing heart and sweaty palms.

Chollet, M., Massachi, T., & Scherer, S. (2017).

Intelligent Virtual Agents (Vol. 10498, pp. 83–86). Springer International Publishing.

2017 e4
other

Using emotions to empower the self-adaptation capability of software services.

Condori-Fernandez, N., & Lopez, F. S. (2017).

Proceedings of the 2nd International Workshop on Emotion Awareness in Software Engineering, 15–21.

2017 e4

Detection of atrial fibrillation episodes using a wristband device.

Corino, V. D. A., Laureanti, R., Ferranti, L., Scarpini, G., Lombardi, F., & Mainardi, L. (2017).

Physiological Measurement, Volume 38.

2017 e4
other

Phyisiological biomarkers for detection of imminent aggression in minimally verbal children with Autism Spectrum Disorder.

Cumpanasoiu, D., Mazefsky, C., Stedman, A., Peura, C., Tian, P., Guo, Y., Ioannidis, S., Erdogmus, D., Siegel, M., & Goodwin, M. S. (2017).

Journal of the American Academy of Child & Adolescent Psychiatry, 56, S256–S257.

2017 e4
other

Effects of sharing physiological states of players in a collaborative virtual reality gameplay.

Dey, A., Piumsomboon, T., Lee, Y., & Billinghurst, M. (2017).

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 4045–4056.

2017 e4
other

TimeOut: Designing for emotional and cognitive control.

Flobak, E. (2017).

Master in Information Science. Universitas Bergensis.

2017 e4
stress

Biometrics and policing: A protocol for multichannel sensor data collection and exploratory analysis of contextualized psychophysiological response during law enforcement operations.

Furberg, R. D., Taniguchi, T., Aagaard, B., Ortiz, A. M., Hegarty-Craver, M., Gilchrist, K. H., & Ridenour, T. A. (2017).

JMIR Research Protocols, 6(3), e44.

2017 e4
stress

Objective assessment of depressive symptoms with machine learning and wearable sensors data.

Ghandeharioun, A., Fedor, S., Sangermano, L., Ionescu, D., Alpert, J., Dale, C., Sontag, D., & Picard, R. (2017).

International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, Texas.

2017 e4
sleep

Objective vs. subjective reports of sleep quality in major depressive disorder: A pilot study.

Ghandeharioun, A., Sangermano, L., Picard, R. W., Alpert, J., Dale, C., Ionescu, D., & Fedor, S. (2017).

Anxiety and Depression Conference (ADAA), San Francisco, California.

2017 other

Classification of physiological data for emotion recognition.

Gouverneur, P., Jaworek-Korjakowska, J., Köping, L., Shirahama, K., Kleczek, P., & Grzegorzek, M. (2017).

Artificial Intelligence and Soft Computing, 619–627.

2017 e4
other

The impact of soundtrack congruency on the aesthetic experience of contemporary dance: Exploring aesthetic interaction in terms of arousal and enjoyment ratings in three audio settings.

Howlin, C., Orgs, G., & Vicary, S. (2017).

25th Anniversary Conference of the European Society for the Cognitive Sciences of Music, Ghent, Belgium.

2017 e4
other

Using wearable physiological sensors to predict energy expenditure.

Ingraham, K. A., Ferris, D. P., & Remy, C. D. (2017).

2017 International Conference on Rehabilitation Robotics (ICORR)

2017 e4
other

All inkjet-printed graphene-based conductive patterns for wearable e-textile applications.

Karim, N., Afroj, S., Malandraki, A., Butterworth, S., Beach, C., Rigout, M., Novoselov, K. S., Casson, A. J., & Yeates, S. G. (2017).

Journal of Materials Chemistry C.

2017 other

Preferences in tracking dimensions for wearable technology.

Koo, H. S., & Fallon, K. (2017).

International Journal of Clothing Science and Technology.

2017 monitoring
e4

Early detection of migraine attacks based on wearable sensors: Experiences of data collection using Empatica E4.

Koskimäki, H., Mönttinen, H., Siirtola, P., Huttunen, H.-L., Halonen, R., & Röning, J. (2017).

2017 ACM International Symposium on Wearable Computer.

2017 e4
other

Energy efficient heart rate sensing using a painted electrode ECG wearable.

Krachunov, S., Beach, C., Casson, A. J., Pope, J., Fafoutis, X., Piechocki, R. J., & Craddock, I. (2017).

2017 Global Internet of Things Summit (GIoTS).

2017 e4
other

Promoting CARE: Changes via Awareness, Recognition and Experience.

Landoni, M., Fedosov, A., & Niforatos, E. (2017).

Proceedings of the 2017 Conference on Interaction Design and Children, 783–787.

2017 e4
other

Exploring the behaviour of distracted drivers during different levels of automation in driving.

Large, D. R., Banks, V. A., Burnett, G., Baverstock, S., & Skrypchuk, L. (2017).

International Conference on Driver Distraction and Inattention (DDI2017).

2017 sudep

Nocturnal seizures are associated with more severe hypoxemia and increased risk of postictal generalized EEG suppression.

Latreille, V., Abdennadher, M., Dworetzky, B. A., Ramel, J., White, D., Katz, E., Zarowski, M., Kothare, S., & Pavlova, M. (2017).

Epilepsia.

2017 e4
other

Exploring the effect of vibrotactile feedback through the floor on social presence in an immersive virtual environment.

Lee, M., Bruder, G., & Welch, G. F. (2017).

Virtual Reality (VR), 2017 IEEE, 105–111.

2017 e4
other

Mobile Health Technology Using a Wearable Sensorband for Female College Students With Problem Drinking: An Acceptability and Feasibility Study.

Leonard, N. R., Silverman, M., Sherpa, D. P., Naegle, M. A., Kim, H., Coffman, D. L., & Ferdschneider, M. (2017).

JMIR MHealth and UHealth, 5(7), e90.

2017 monitoring
e4

Wearable sensors for remote health monitoring.

Majumder, S., Mondal, T., & Deen, M. J. (2017).

State-of-the-Art Sensors Technology in Canada 2017.

2017 other

Internet of Things based e-health systems: Ideas, expectations and concerns.

Maksimović, M., & Vujović, V. (2017).

In Handbook of Large-Scale Distributed Computing in Smart Healthcare (pp. 241–280).

2017 other

Short communication: Emerging technologies for biometeorology.

Mehdipoor, H., Vanos, J. K., Zurita-Milla, R., & Cao, G. (2017).

International Journal of Biometeorology, 1–8.

2017 e4
other

A Driver State Detection System-Combining a Capacitive Hand Detection Sensor With Physiological Sensors.

Mühlbacher-Karrer, S., Mosa, A. H., Faller, L. M., Ali, M., Hamid, R., Zangl, H., & Kyamakya, K. (2017).

IEEE Transactions on Instrumentation and Measurement, PP(99), 1–13.

2017 e4
other

Biosensing and geography: A mixed methods approach.

Osborne, T., & Jones, P. I. (2017).

Applied Geography, 87, 160–169.

2017 e4
sleep

A deep learning-based approach for the recognition of sleep disorders in patients with cognitive diseases: A case study.

Paragliola, G., & Coronato, A. (2017).

Annals of Computer Science and Information Systems, Volume 12.

2017 e4
other

Integrating Ema, clinical assessment and wearable sensors to examine the association between major depressive disorder (MDD) and alcohol use.

Pedrelli, P., Howe, E., Mischoulon, D., Picard, R., Ghandeharioun, A., & Fedor, S. (2017).

Connected Health Conference.

2017 other

The revolution of personalized psychiatry: Will technology make it happen sooner?

Perna, G., Grassi, M., Caldirola, D., & Nemeroff, C. B. (2017).

Psychological Medicine, 1–9.

2017 e4
other

Quantity of movement as a measure of engagement for dementia: The influence of motivational disorders.

Perugia, G., Rodríguez-Martín, D., Boladeras, M. D., Mallofré, A. C., Barakova, E., & Rauterberg, M. (2017).

American Journal of Alzheimer’s Disease & Other Dementiasr, 1533317517739700.

2017 other

Biometrics wave poised to transform future driving.

Praveen, J. (2017).

Biometric Technology Today, 2017(5), 5–8.

2017 e4
other

Emotion recognition using physiological signals: Laboratory vs. wearable sensors.

Ragot, M., Martin, N., Em, S., Pallamin, N., & Diverrez, J.-M. (2017).

Advances in Human Factors in Wearable Technologies and Game Design, 15–22.

2017 other

Space–Emotion in acousmatic music.

Ratti, F. S., & Bravo, C. F. (2017).

Organised Sound, 22(3), 394–405.

2017 e4
other

Using support vector machines for atrial fibrillation screening.

Rivera, D., Veiga, C., Rodríguez-Andina, J. J., Fariña, J., & García, E. (2017).

2017 IEEE 26th International Symposium on Industrial Electronics (ISIE).

2017 e4
other

A Survey of Wearable Devices and Challenges.

Seneviratne, S., Hu, Y., Nguyen, T., Lan, G., Khalifa, S., Thilakarathna, K., Hassan, M., & Seneviratne, A. (2017).

IEEE Communications Surveys Tutorials, PP(99), 1–1.

2017 e4
stress

Social and competition stress detection with wristband physiological signals.

Sevil, M., Hajizadeh, I., Samadi, S., Feng, J., Lazaro, C., Frantz, N., Yu, X., Brandt, R., Maloney, Z., & Cinar, A. (2017).

2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 39–42.

2017 e4
other

Real-time measurement of tourists’ objective and subjective emotions in time and space.

Shoval, N., Schvimer, Y., & Tamir, M. (2017).

Journal of Travel Research, 0047287517691155.

2017 e4
other

Expanding the scope of learning analytics data: Preliminary findings on attention and self-regulation using wearable technology.

Spann, C. A., Schaeffer, J., & Siemens, G. (2017).

Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 203–207.

2017 other

On the impact of affect in software engineering.

Tourani, P. (2017).

Université de Montréal.

2017 e4
seizure detection

Automated epileptic seizure detection based on wearable ECG and PPG in a hospital environment.

Vandecasteele, K., De Cooman, T., Gu, Y., Cleeren, E., Claes, K., Paesschen, W., Huffel, S., & Hunyadi, B. (2017).

Sensors, 17(10), 2338.

2017 e4
other

Joint action aesthetics.

Vicary, S., Sperling, M., Zimmermann, J. von, Richardson, D. C., & Orgs, G. (2017).

PLOS ONE, 12(7), e0180101.

2017 e4
other

Mood controlled affective ambiences for the elderly.

Willems, P. (2017).

University of Twente.

2017 e4
other

Arousal detection for biometric data in built environments using machine learning.

Yates, H., Chamberlain, B., Norman, G., & Hsu, W. H. (2017).

IJCAI 2017 Workshop on Artificial Intelligence in Affective Computing, 58–72.

2017 e4
other

Mediated atmospheres: A multimodal mediated work environment.

Zhao, N., Azaria, A., & Paradiso, J. A. (2017).

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1(2), 1–23.

2016 seizure detection

Improvement of a convulsive seizure detector relying on accelerometer and electrodermal activity collected continuously by a wristband.

Onorati, Francesco, Regalia, G., Caborni, C., & Picard, R. (2016).

2016 Epilepsy Pipeline Conference, San Francisco, California.

2016 seizure detection

Embrace, a wearable convulsive seizure detection and alert system. First performance report of a case study in real-life settings.

Picard, R., Regalia, G., Caborni, C., Migliorini, M., & Onorati, F. (2016).

American Epilepsy Society Annual Meeting.

2016 seizure detection

A wristband assessment of accelerometryand autonomic activity of epileptic patients.

Caborni, C., Onorati, F., Regalia, G., Migliorini, M., & Picard, R. (2016).

Partners Against Mortality in Epilepsy.

2016 seizure detection

Improving convulsive seizure detection by exploiting data from outpatient settings using the Embrace wristband.

Onorati, F., Regalia, G., Caborni, C., & Picard, R. (2016).

12th European Congress on Epileptology, Prague.

2016 other

A review of theoretical and practical challenges of trusted autonomy in big data.

Abbass, H. A., Leu, G., & Merrick, K. (2016).

IEEE Access, 4, 2808–2830.

2016 e4
other

The use of multidimensional biopsychological markers to detect learning in educational gaming environments.

Alstad, Z., Dahlstrom-Hakki, I., Asbell-Clarke, J., Rowe, E., & Altman, M. (2016).

IEEE Access

2016 other

A thermal emotion classifier for improved human-robot interaction.

Boccanfuso, L., Wang, Q., Leite, I., Li, B., Torres, C., Chen, L., Salomons, N., Foster, C., Barney, E., & Ahn, Y. A. (2016).

Robot and Human Interactive Communication (RO-MAN), 2016 25th IEEE International Symposium On, 718–723.

2016 e4
other

Remote patient monitoring for improving outpatient care of patients at risk for sepsis.

Bui, T., Grayson, M., Hofer, K., McGuire, K., Morrow, M., Rodammer, N., Farooque, A., Barnes, L. E., & Patek, S. (2016).

2016 IEEE Systems and Information Engineering Design Symposium (SIEDS), 136–141.

2016 epilepsy

Multi-Biosignal Analysis for Epileptic Seizure Monitoring.

Cogan, D., Birjandtalab, J., Nourani, M., Harvey, J., & Nagaraddi, V. (2016).

International Journal of Neural Systems, 1650031.

2016 epilepsy

A short review and primer on electrodermal activity in human computer interaction applications.

Cowley, B. U., & Torniainen, J. (2016).

ArXiv Preprint ArXiv:1608.06986.

2016 e4
other

An eye-tracking assessment of coronary care nurses during the interpretation of patient monitoring scenarios.

Currie, J., Bond, R. R., McCullagh, P., Black, P., Finlay, D. D., & Peace, A. (2016).

Computing in Cardiology 2016, Vancouver, Canada.

2016 e4
other

Leveraging biometric data to boost software developer productivity.

Fritz, T., & Müller, S. C. (2016).

2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER), 5, 66–77.

2016 other

From big data to deep insight in developmental science.

Gilmore, R. O. (2016).

Wiley interdisciplinary reviews: Cognitive science.

2016 e4
stress

Continuous stress detection using a wrist device: In laboratory and real life.

Gjoreski, M., Gjoreski, H., Luštrek, M., & Gams, M. (2016).

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, 1185–1193.

2016 e4
other

Remembering through lifelogging: A survey of human memory augmentation.

Harvey, M., Langheinrich, M., & Ward, G. (2016).

Pervasive and Mobile Computing.

2016 other

Managing emotions for the treatment of patients with chronic low back pain.

Iranzo, R. M. G., Gomà, J. V., & Pascual, F. V. (2016).

Proceedings of the XVII International Conference on Human Computer Interaction, 30:1–30:2.

2016 seizure detection

Safe and sound? A systematic literature review of seizure detection methods for personal use.

Jory, C., Shankar, R., Coker, D., McLean, B., Hanna, J., & Newman, C. (2016).

Seizure, 36, 4–15.

2016 other

Emerging security mechanisms for medical cyber physical systems.

Kocabas, O., Soyata, T., & Aktas, M. (2016).

IEEE/ACM Transactions on Computational Biology and Bioinformatics, PP(99), 1–1.

2016 e4
other

Visualizing excitement of individuals and groups.

Kucher, K., Cernea, D., & Kerren, A. (2016).

Proceedings of EmoVis 2016, 15–22.

2016 other

Method for improving EEG based emotion recognition by combining it with synchronized biometric and eye tracking technologies in a non-invasive and low cost way.

López-Gil, J.-M., Virgili-Gomá, J., Gil, R., & García, R. (2016).

Frontiers in Computational Neuroscience, 85.

2016 other

Emotional arousal estimation while reading comics based on physiological signal analysis.

Matsubara, M., Augereau, O., Sanches, C. L., & Kise, K. (2016).

Proceedings of the 1st International Workshop on CoMics ANalysis, Processing and Understanding, 7:1–7:4.

2016 e4
other

Validation of the Empatica E4 wristband.

McCarthy, C., Pradhan, N., Redpath, C., & Adler, A. (2016).

2016 IEEE EMBS International Student Conference (ISC).

2016 e4
other

Using biometric sensors to increase developers’ productivity.

Müller, S. C. (2016).

University of Zurich, Switzerland 2016.

2016 e4
other

Using (bio)metrics to predict code quality online.

Müller, S. C., & Fritz, T. (2016).

Proceedings of the 38th International Conference on Software Engineering, 452–463.

2016 e4
stress

A comparison of wearable and stationary sensors for stress detection.

Ollander, S., Godin, C., Campagne, A., & Charbonnier, S. (2016).

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 004362–004366.

2016 e4
stress

Your environment and you: Investigating stress triggers and characteristics of the built environment.

Parker, R. (2016).

Master of Landscape Architecture, Kansas State University.

2016 e4
sleep

Novel approaches to measuring infant daytime sleep neurophysiology and autonomic activity.

Peters, S., & Benasich, A. (2016).

Temporal Dynamics of Learning Center.

2016 e4
other

Investigating collaborative learning success with physiological coupling indices based on electrodermal activity.

Pijeira-Díaz, Héctor J., Drachsler, H., Järvelä, S., & Kirschner, P. A. (2016).

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 64–73.

2016 e4
other

Wearable devices and their applications in surgical robot control and p-medicine.

Poon, C. C. (2016).

IEEE 20th International Conference on Computer Supported Cooperative Work in Design.

2016 other

Personal informatics for everyday life: How users without prior self-tracking experience engage with personal data.

Rapp, A., & Cena, F. (2016).

International Journal of Human-Computer Studies, 94, 1–17.

2016 other

All the feels: Introducing biometric data to online gameplay streams.

Robinson, R., Isbister, K., & Rubin, Z. (2016).

Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts, 261–267.

2016 seizure detection

Detection and prediction of seizures using a wrist-based wearable platform.

Sasikala, R., Asuntha, A., & Indirani, S. (2016).

Journal of Chemical and Pharmaceuticcal Sciences, 9(4), 3208–3215.

2016 e4
other

HuSIS: A dedicated space for studying human interactions.

Schubert, R., Welch, G., Daher, S., & Raij, A. (2016).

IEEE Computer Graphics and Applications, 36(6), 26–36.

2016 e4
other

Emotion recognition based on physiological sensor data using codebook approach.

Shirahama, K., & Grzegorzek, M. (2016).

Information Technologies in Medicine (pp. 27–39). Springer International Publishing.

2016 e4
other

Comprehensive observation and its role in self-awareness; an emotion recognition system example.

TaheriNejad, N., Jantsch, A., & Pollreisz, D. (2016).

2016 Federated Conference on Computer Science and Information Systems, Gdansk.

2016 e4
seizure detection

Automated seizure detection systems and their effectiveness for each type of seizure

Ulate-Campos, A., Coughlin, F., Gaínza-Lein, M., Fernández, I. S., Pearl, P. L., & Loddenkemper, T. (2016).

Seizure, 40, 88–101.

2016 seizure detection

Non-EEG seizure detection systems and potential SUDEP prevention: State of the art: Review and update.

Van de Vel, A., Cuppens, K., Bonroy, B., Milosevic, M., Jansen, K., Van Huffel, S., Vanrumste, B., Cras, P., Lagae, L., & Ceulemans, B. (2016).

Seizure, 41, 141–153.

2016 other
2016 stress

Development and clinical evaluation of an mHealth application for stress management.

Winslow, B. D., Chadderdon, G. L., Dechmerowski, S. J., Jones, D. L., Kalkstein, S., Greene, J. L., & Gehrman, P. (2016).

Public Mental Health, 130.

2015 e4

The wearable multimodal monitoring system: A platform to study falls and near-falls in the real-world.

Doty, Tracy, Kellihan, B., Jung, T., Zao, J., & Litvan, I. (2015).

Lecture Notes in Computer Science book series (LNCS, volume 9194).

2015 seizure detection

An improved wrist-worn convulsive seizure detector based on accelerometry and electrodermal activity sensors.

Regalia, Giulia, Onorati, F., Migliorini, M., & Picard, R. (2015).

American Epilepsy Society Annual Meeting.

2015 other

A Fast Algorithm for Extracting the Breathing Rate from PPG Signal.

Locatelli, D., Fusco, A., Onorati, F., & Santambrogio, M. (2015).

37th Annual International Conference of the IEEE, 2015

2015 other

On how to extract breathing rate from PPG signal using wearable devices.

Fusco, A., Locatelli, D., Onorati, F., Durelli, G. C., & Santambrogio, M. D. (2015).

Biomedical Circuits and Systems Conference (BioCAS)

2015 epilepsy

Seizure reporting technologies for epilepsy treatment: A review of clinical information needs and supporting technologies.

Bidwell, J., Khuwatsamrit, T., Askew, B., Ehrenberg, J. A., & Helmers, S. (2015).

Seizure, European Journal of Epilepsy.

2015 other

iMStrong: Deployment of a biosensor system to detect cocaine use.

Carreiro, S., Fang, H., Zhang, J., Wittbold, K., Weng, S., Mullins, R., Smelson, D., & Boyer, E. W. (2015).

Journal of Medical Systems, 39(12), 186.

2015 e4
other

Wavelet-based motion artifact Removal for electrodermal activity.

Chen, W., Jaques, N., Taylor, S., Sano, A., Fedor, S., & Picard, R. W. (2015).

Proceedings International Conference of the IEEE Engineering in Medicine and Biology Society.

2015 other

Wavelet-based motion artifact Removal for electrodermal activity.

Chen, W., Jaques, N., Taylor, S., Sano, A., Fedor, S., & Picard, R. W. (2015).

Proceedings International Conference of the IEEE Engineering in Medicine and Biology Society.

2015 e4
other

The wearable Living Lab: How wearables could support Living Lab projects.

Coenen, T., Coorevits, L., & Lievens, B. (2015).

Open Living Lab Days 2015, Istanbul, Turkey.

2015 other

The wearable multimodal monitoring system: A platform to study falls and near-falls in the real-world.

Doty, T. J., Kellihan, B., Jung, T.-P., Zao, J. K., & Litvan, I. (2015).

In J. Zhou & G. Salvendy (Eds.), Human Aspects of IT for the Aged Population.

2015 e4
other

Roles for personal informatics in chronic pain.

Felipe, S., Singh, A., Bradley, C., Williams, A. C., & Bianchi-Berthouze, N. (2015).

Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2015 9th International Conference On, 161–168.

2015 other

Natural face-to-face conversation with socially intelligent robots.

Foster, M. E. (2015).

2015 Workshop on Spatial Reasoning and Interaction for Real-World Robotics. IROS, Hamburg, Germany.

2015 seizure detection

Using wearable sensors for semiology-independent seizure detection—Towards ambulatory monitoring of epilepsy.

Heldberg, B. E., Kautz, T., Leutheuser, H., Hopfengärtner, R., Kasper, B. S., & Eskofier, B. M. (2015).

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

2015 stress

The digital stress coach. Total control over your mental health, or “Big Brother is watching you”?

Lieshout, M. V., Wiezer, N. M., & De Korte, E. (2015).

In Sincere Support—The rise of the e-coach: Vol. Chapter 6 (1st ed., pp. 161–176).

2015 stress

Detecting state anxiety when caring for people with dementia.

Miranda, D., Favela, J., & Ibarra, C. (2015).

In J. Bravo, R. Hervás, & V. Villarreal (Eds.), Ambient Intelligence for Health (pp. 98–109). Springer International Publishing.

2015 other

Measuring software developers’ perceived difficulty with biometric sensors.

Müller, S. C. (2015).

Proceedings of the 37th International Conference on Software Engineering - Volume 2, 887–890.

2015 other

Stuck and frustrated or in flow and happy: Sensing developers’ emotions and progress.

Müller, S., & Fritz, T. (2015, May).

37th International Conference on Software Engineering.

2015 e4
stress

Wearable sensor data fusion for human stress estimation.

Ollander, Simon. (2015).

Master thesis, Linkoping University.

2015 e4
other

Exploring different ways of navigating emotionally responsive artwork in immersive virtual environments.

Song, M., & DiPaola, S. (2015).

Electronic Visualisation and the Arts (EVA 2015).

2015 other

Photoplethysmography revisited: From contact to non-contact, from point to imaging.

Sun, Y., & Thakor, N. (2016).

IEEE Transactions on Biomedical Engineering, 63(3), 463–477.

2015 e4
other

Active learning for electrodermal activity classification.

Xia, V., Jaques, N., Taylor, S., Fedor, S., & Picard, R. (2015). Active learning for electrodermal activity classification

2015 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1–6.

2015 e4
other

Psychophysiology in games. In Emotion in Games: Theory and praxis.

Yannakakis, Georgios N., Martinez, H. P., & Garbarino, M. (2015).

Springer.

2014 other

Apparatus for electrodermal activity measurement with current compensation.

Tognetti, S., Cenci, I., Resnati, D., Garbarino, M., & Lai, M. (2014).

World Intellectual Property Organization Patent No. WO2014147024A1.

2014 other

Empatica E3—A wearable wireless multi-sensor device for real-time computerized biofeedback and data acquisition.

Garbarino, M., Lai, M., Bender, D., Picard, R. W., & Tognetti, S. (2014).

4th International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH), 39–42.

2014 other

Wearable technologies for automotive user interfaces: Danger or opportunity?

Caon, M., Tagliabue, M., Angelini, L., Perego, P., Mugellini, E., & Andreoni, G. (2014).

Adjunct Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 1–5.

2014 stress

Experiential virtual scenarios with real-time monitoring (interreality) for the management of psychological stress: A block randomized controlled trial.

Gaggioli, A., Pallavicini, F., Morganti, L., Serino, S., Scaratti, C., Briguglio, M., Crifaci, G., Vetrano, N., Giulintano, A., Bernava, G., Tartarisco, G., Pioggia, G., Raspelli, S., Cipresso, P., Vigna, C., Grassi, A., Baruffi, M., Wiederhold, B., & Riva, G. (2014).

Journal of Medical Internet Research, 16(7), e167.

2014 stress

Experiential virtual scenarios with real-time monitoring (interreality) for the management of psychological stress: A block randomized controlled trial.

Gaggioli, A., Pallavicini, F., Morganti, L., Serino, S., Scaratti, C., Briguglio, M., Crifaci, G., Vetrano, N., Giulintano, A., Bernava, G., Tartarisco, G., Pioggia, G., Raspelli, S., Cipresso, P., Vigna, C., Grassi, A., Baruffi, M., Wiederhold, B., & Riva, G. (2014).

Journal of Medical Internet Research, 16(7), e167.

2014 stress

Multimodal PTSD characterization via the StartleMart game.

Holmgård, C., Yannakakis, G. N., Martínez, H. P., Karstoft, K.-I., & Andersen, H. S. (2014).

Journal on Multimodal User Interfaces, 9(1), 3–15.

2014 seizure detection

Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy.

Ramgopal, S., Thome-Souza, S., Jackson, M., Kadish, N. E., Sánchez Fernández, I., Klehm, J., Bosl, W., Reinsberger, C., Schachter, S., & Loddenkemper, T. (2014).

Epilepsy & Behavior, 37, 291–307.

2014 other

A Panorama of Artificial and Computational Intelligence in Games.

Yannakakis, G.N., & Togelius, J. (2014).

IEEE Transactions on Computational Intelligence and AI in Games, PP(99), 1–1.

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Embrace is currently available only in English. Embrace is an investigational device in the USA and a medical device in the EU. If you do not see your country listed, please visit the International site.
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