Paolo Bonato

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Associate Professor

Harvard Medical School

United States

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About

Paolo Bonato is an Associate Professor at Harvard Medical School in the United States. His research focuses on the intersection of engineering and medicine, particularly in gait analysis, wearable technology, and rehabilitation. Recent publications include studies on gait protocols in Parkinson's disease, wearable systems for knee kinematics, and the role of AI in detecting COVID-19 symptoms.

Recent Grants

Grant: Close

Bimanual Robotic Rehabilitation System with Variable Interaction Modes

Open Date: 2014-11-01

Close Date: 2015-08-01

Grant: Close

Skeletal and Clinical Effects of Exoskeleton Assisted Gait

Open Date: 2014-09-01

Close Date: 2016-03-01

Grant: Close

Mobile Virtual Enhancements for Rehabilitation

Open Date: 2013-09-01

Close Date: 2015-08-01

Grant: Close

Amplified Attention Training (AAT) for the Treatment of Hemispatial Neglect

Open Date: 2013-01-01

Close Date: 2015-10-01

Grant: Close

A Wearable System to Monitor Tai Chi Practice

Open Date: 2012-04-01

Close Date: 2015-03-01

Articles (17)

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2025

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2021

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2020

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2020

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2020

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2020

Collaborators (19)

Jennifer R. Cochran

UNITED STATES

Paolo Bonato

Research Interests

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About

Recent Grants

Articles (17)

A framework to standardize gait study protocols in Parkinson's disease

Development of a Wearable Sleeve-Based System Combining Polymer Optical Fiber Sensors and an LSTM Network for Estimating Knee Kinematics

Detecting Exercise-Induced Temperature Distribution Changes at the Knee Using a Wearable Array of Thermistors

Efficacy and safety of using auditory-motor entrainment to improve walking after stroke: a multi-site randomized controlled trial of InTandemTM

Current State, Needs, and Opportunities for Wearable Robots in Military Medical Rehabilitation and Force Protection

Grand Challenges at the Interface of Engineering and Medicine

Time-Critical Fall Prediction Based on Lipschitz Data Analysis and Design of a Reconfigurable Walker for Preventing Fall Injuries

Healthcare Innovations to Address the Challenges of the COVID-19 Pandemic

Voice Biomarkers of Recovery From Acute Respiratory Illness

Artificial Intelligence for Detecting COVID-19 With the Aid of Human Cough, Breathing and Speech Signals: Scoping Review

Forward and backward walking share the same motor modules and locomotor adaptation strategies

Predicting and Monitoring Upper-Limb Rehabilitation Outcomes Using Clinical and Wearable Sensor Data in Brain Injury Survivors

Recommendation to Use Wearable-Based mHealth in Closed-Loop Management of Acute Cardiovascular Disease Patients During the COVID-19 Pandemic

A Simple Low-Cost Wearable Sensor for Long-Term Ambulatory Monitoring of Knee Joint Kinematics

Can kinematic parameters of 3D reach-to-target movements be used as a proxy for clinical outcome measures in chronic stroke rehabilitation? An exploratory study

Guest Editorial Flexible Sensing and Medical Imaging for Cerebro-Cardiovascular Health

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

Collaborators (19)

Jennifer R. Cochran

Jean-Francois Daneault

Tejal A. Desai

Shantanu Avinash Satpute

Dimitrios I. Fotiadis

Louis N. Awad

Elisa Pelosin

Jeffrey Hausdorff

Jorge Candiotti

Derek T. O’Keeffe

Metin Akay

Giacomo Severini

Tawnee Sparling

Chang Dae Lee

Bruce Wheeler

Alessandra Angelucci

Alice Nieuwboer

Richard Camicioli

Ashutosh Chilkoti

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