Bonato, Paolo

A review of wearable sensors and systems with application in rehabilitation

Patel, S., Park, H., Bonato, P., Chan, L., & Rodgers, M. (2012) · Journal of NeuroEngineering and Rehabilitation

Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign Monitoring

Cited by 2,396

Gait impairments in Parkinson’s disease

Mirelman, A., Bonato, P., Camicioli, R., Ellis, T. D., Giladi, N., Hamilton, J. L., Hass, C. J., Hausdorff, J. M., Pelosin, E., & Almeida, Q. J. (2019) · The Lancet Neurology

Balance, Gait, and Falls PreventionDeep Brain Stimulation and Movement Disorders

Cited by 821

Technology in Parkinson’s disease: challenges and opportunities

Espay, A. J., Bonato, P., Nahab, F. B., Maetzler, W., Dean, J. M., Klucken, J., Eskofier, B. M., Merola, A., Horak, F., Lang, A. E., et al. (2016) · Movement Disorders

Parkinson's Disease Mechanisms and TreatmentsDeep Brain Stimulation and Movement Disorders

Cited by 654

Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors

Patel, S., Lorincz, K., Hughes, R., Huggins, N., Growdon, J., Standaert, D., Akay, M., Dy, J., Welsh, M., & Bonato, P. (2009) · IEEE Transactions on Information Technology in Biomedicine

Context-Aware Activity Recognition SystemsArtificial Intelligence in Healthcare

Cited by 623

Wearable Sensors and Systems

Bonato, P. (2010) · IEEE Engineering in Medicine and Biology Magazine

Non-Invasive Vital Sign MonitoringContext-Aware Activity Recognition Systems

Cited by 423

Advances in wearable technology and applications in physical medicine and rehabilitation

Bonato, P. (2005) · Journal of NeuroEngineering and Rehabilitation

Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign Monitoring

Cited by 385

Wearable sensors/systems and their impact on biomedical engineering

Bonato, P. (2003) · IEEE Engineering in Medicine and Biology Magazine

Non-Invasive Vital Sign MonitoringAdvanced Sensor and Energy Harvesting Materials

Cited by 382

Patient specific ankle-foot orthoses using rapid prototyping

Mavroidis, C., Ranky, R. G., Sivak, M. L., Patritti, B. L., DiPisa, J., Caddle, A., Gilhooly, K., Govoni, L., Sivak, S., Lancia, M., et al. (2011) · Journal of NeuroEngineering and Rehabilitation

Prosthetics and Rehabilitation RoboticsAnatomy and Medical Technology

Cited by 361

Wearable Medical Systems for p-Health

Teng, X.-F., Zhang, Y.-T., Poon, C. C. Y., & Bonato, P. (2008) · IEEE Reviews in Biomedical Engineering

Non-Invasive Vital Sign MonitoringWireless Body Area Networks

Cited by 310

Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic

Ding, X., Clifton, D., Ji, N., Lovell, N. H., Bonato, P., Chen, W., Yu, X., Xue, Z., Xiang, T., Long, X., et al. (2021) · IEEE Reviews in Biomedical Engineering

Non-Invasive Vital Sign MonitoringAdvanced Sensor and Energy Harvesting Materials

Cited by 281

In situ monitoring of health in older adults: technologies and issues

Kang, H. G., Mahoney, D. F., Hoenig, H., Hirth, V. A., Bonato, P., Hajjar, I., Lipsitz, L. A., & for the Center for Integration of Medicine and Innovative Technology Working Group on Advanced Approaches to Physiologic Monitoring for the Aged (2010) · Journal of the American Geriatrics Society

Technology Use by Older AdultsContext-Aware Activity Recognition Systems

Cited by 227

Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment

Eskofier, B. M., Lee, S. I., Daneault, J.-F., Golabchi, F. N., Ferreira-Carvalho, G., Vergara-Diaz, G., Sapienza, S., Costante, G., Klucken, J., Kautz, T., et al. (2016) · 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Context-Aware Activity Recognition SystemsArtificial Intelligence in Healthcare

Cited by 180

A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology

Patel, S., Hughes, R., Hester, T., Stein, J., Akay, M., Dy, J. G., & Bonato, P. (2010) · Proceedings of the IEEE

Stroke Rehabilitation and RecoveryContext-Aware Activity Recognition Systems

Cited by 170

Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery

Adans-Dester, C., Hankov, N., O’Brien, A., Vergara-Diaz, G., Black-Schaffer, R., Zafonte, R., Dy, J., Lee, S. I., & Bonato, P. (2020) · npj Digital Medicine

Stroke Rehabilitation and RecoveryContext-Aware Activity Recognition Systems

Cited by 130

Enabling stroke rehabilitation in home and community settings: a wearable sensor-based approach for upper-limb motor training

Lee, S. I., Adans-Dester, C. P., Grimaldi, M., Dowling, A. V., Horak, P. C., Black-Schaffer, R. M., Bonato, P., & Gwin, J. T. (2018) · IEEE Journal of Translational Engineering in Health and Medicine

Stroke Rehabilitation and RecoveryContext-Aware Activity Recognition Systems

Cited by 119

Estimating fugl-meyer clinical scores in stroke survivors using wearable sensors

Del Din, S., Patel, S., Cobelli, C., & Bonato, P. (2011) · 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Stroke Rehabilitation and RecoveryContext-Aware Activity Recognition Systems

Cited by 90

Using Wearable Sensors to Measure Motor Abilities following Stroke

Hester, T., Hughes, R., Sherrill, D. M., Knorr, B., Akay, M., Stein, J., & Bonato, P. (2006) · International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06)

Stroke Rehabilitation and RecoveryContext-Aware Activity Recognition Systems

Cited by 82

Design and control of a robotic lower extremity exoskeleton for gait rehabilitation

Unluhisarcikli, O., Pietrusinski, M., Weinberg, B., Bonato, P., & Mavroidis, C. (2011) · 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems

Prosthetics and Rehabilitation RoboticsStroke Rehabilitation and Recovery

Cited by 66

The use of a finger-worn accelerometer for monitoring of hand use in ambulatory settings

Liu, X., Rajan, S., Ramasarma, N., Bonato, P., & Lee, S. I. (2019) · IEEE Journal of Biomedical and Health Informatics

Context-Aware Activity Recognition SystemsStroke Rehabilitation and Recovery

Cited by 39

Voice Biomarkers of Recovery From Acute Respiratory Illness

Tracey, B., Patel, S., Zhang, Y., Chappie, K., Volfson, D., Parisi, F., Adans-Dester, C., Bertacchi, F., Bonato, P., & Wacnik, P. (2022) · IEEE Journal of Biomedical and Health Informatics

Voice and Speech DisordersPhonocardiography and Auscultation Techniques

Cited by 10

Activity detection in uncontrolled free-living conditions using a single accelerometer

Lee, S. I., Ozsecen, M. Y., Della Toffola, L., Daneault, J.-F., Puiatti, A., Patel, S., & Bonato, P. (2015) · 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 9

Using a Minimum Set of Wearable Sensors to Assess Quality of Movement in Stroke Survivors

Sapienza, S., Adans-Dester, C., OBrien, A., Vergara-Diaz, G., Lee, S., Patel, S., Black-Schaffer, R., Zafonte, R., Bonato, P., Meagher, C., et al. (2017) · 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)

Stroke Rehabilitation and RecoveryContext-Aware Activity Recognition Systems

Cited by 9