Paolo Bonato

Affiliations: 
Physical Medicine and Rehabilitation Harvard Medical School, Boston, MA, United States 
Area:
Rehabilitation engineering, Biomechanics of movement, Electromyography
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"Paolo Bonato"
Mean distance: 16.96 (cluster 17)
 
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Publications

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Zych M, Cannariato A, Bonato P, et al. (2021) Forward and backward walking share the same motor modules and locomotor adaptation strategies. Heliyon. 7: e07864
Rubega M, Formaggio E, Di Marco R, et al. (2021) Cortical correlates in upright dynamic and static balance in the elderly. Scientific Reports. 11: 14132
Brooks C, Shaafi Kabiri N, Bhangu J, et al. (2021) The impact of chronotype on circadian rest-activity rhythm and sleep characteristics across the week. Chronobiology International. 1-16
Mirelman A, Ben Or Frank M, Melamed M, et al. (2021) Detecting Sensitive Mobility Features for Parkinson's Disease Stages Via Machine Learning. Movement Disorders : Official Journal of the Movement Disorder Society
Sieberts SK, Schaff J, Duda M, et al. (2021) Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. Npj Digital Medicine. 4: 53
Monzon AM, Bonato P, Necci M, et al. (2021) FLIPPER: Predicting and Characterizing Linear Interacting Peptides in the Protein Data Bank. Journal of Molecular Biology. 433: 166900
Ji N, Xiang T, Bonato P, et al. (2021) Recommendation to Use Wearable-based mHealth in Closed-Loop Management of Acute Cardiovascular Disease Patients during the COVID-19 Pandemic. Ieee Journal of Biomedical and Health Informatics
McGibbon C, Sexton A, Jayaraman A, et al. (2021) Evaluation of a Lower-Extremity Robotic Exoskeleton for People with Knee Osteoarthritis. Assistive Technology : the Official Journal of Resna
Vergara-Diaz G, Daneault JF, Parisi F, et al. (2021) Limb and trunk accelerometer data collected with wearable sensors from subjects with Parkinson's disease. Scientific Data. 8: 47
Daneault JF, Vergara-Diaz G, Parisi F, et al. (2021) Accelerometer data collected with a minimum set of wearable sensors from subjects with Parkinson's disease. Scientific Data. 8: 48
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