Jayaraman, Arun
9 papers on CoChatORCID 0000-0002-9302-6693
Most cited papers
- Verified
The need to approximate the use-case in clinical machine learning
Saeb, S., Lonini, L., Jayaraman, A., Mohr, D. C., & Kording, K. P. (2017) · GigaScience
Artificial Intelligence in HealthcareMachine Learning in Healthcare
Cited by 367
- Verified
Skin sensors are the future of health care
Xu, S., Jayaraman, A., & Rogers, J. A. (2019) · Nature
Advanced Sensor and Energy Harvesting MaterialsNon-Invasive Vital Sign Monitoring
Cited by 214
- Verified
Wearable sensors for Parkinson’s disease: which data are worth collecting for training symptom detection models
Lonini, L., Dai, A., Shawen, N., Simuni, T., Poon, C., Shimanovich, L., Daeschler, M., Ghaffari, R., Rogers, J. A., & Jayaraman, A. (2018) · npj Digital Medicine
Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign Monitoring
Cited by 209
- Verified
Differential cardiopulmonary monitoring system for artifact-canceled physiological tracking of athletes, workers, and COVID-19 patients
Jeong, H., Lee, J. Y., Lee, K., Kang, Y. J., Kim, J.-T., Avila, R., Tzavelis, A., Kim, J., Ryu, H., Kwak, S. S., et al. (2021) · Science Advances
Non-Invasive Vital Sign MonitoringAdvanced Sensor and Energy Harvesting Materials
Cited by 121
- Verified
Automating sleep stage classification using wireless, wearable sensors
Boe, A. J., McGee Koch, L. L., O’Brien, M. K., Shawen, N., Rogers, J. A., Lieber, R. L., Reid, K. J., Zee, P. C., & Jayaraman, A. (2019) · npj Digital Medicine
Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign Monitoring
Cited by 98
- Verified
Activity Recognition for Persons With Stroke Using Mobile Phone Technology: Toward Improved Performance in a Home Setting
O'Brien, M. K., Shawen, N., Mummidisetty, C. K., Kaur, S., Bo, X., Poellabauer, C., Kording, K., & Jayaraman, A. (2017) · Journal of Medical Internet Research
Context-Aware Activity Recognition SystemsStroke Rehabilitation and Recovery
Cited by 78
- Verified
Rehabilitation Therapy Doses Are Low After Stroke and Predicted by Clinical Factors
Young, B. M., Holman, E. A., Cramer, S. C., Shah, S., Griessenauer, C. J., Patel, N., Lin, D. J., Gee, J., Moon, J., Schwertfeger, J., et al. (2023) · Stroke
Stroke Rehabilitation and RecoveryAcute Ischemic Stroke Management
Cited by 67
- Verified
Miniaturized wireless, skin-integrated sensor networks for quantifying full-body movement behaviors and vital signs in infants
Jeong, H., Kwak, S. S., Sohn, S., Lee, J. Y., Lee, Y. J., O’Brien, M. K., Park, Y., Avila, R., Kim, J.-T., Yoo, J.-Y., et al. (2021) · Proceedings of the National Academy of Sciences
Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign Monitoring
Cited by 59
- Verified
Advanced machine learning tools to monitor biomarkers of dysphagia: a wearable sensor proof-of-concept study
O’Brien, M. K., Botonis, O. K., Larkin, E., Carpenter, J., Martin-Harris, B., Maronati, R., Lee, K., Cherney, L. R., Hutchison, B., Xu, S., et al. (2021) · Digital Biomarkers
Dysphagia Assessment and ManagementVoice and Speech Disorders
Cited by 37
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free