P
Paolo Bonato
Researcher at Spaulding Rehabilitation Hospital
Publications - 281
Citations - 14511
Paolo Bonato is an academic researcher from Spaulding Rehabilitation Hospital. The author has contributed to research in topics: Wearable computer & Gait analysis. The author has an hindex of 52, co-authored 269 publications receiving 12237 citations. Previous affiliations of Paolo Bonato include Polytechnic University of Turin & Wyss Institute for Biologically Inspired Engineering.
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Journal ArticleDOI
Complex Upper-Limb Movements Are Generated by Combining Motor Primitives that Scale with the Movement Size.
José Garcia Vivas Miranda,José Garcia Vivas Miranda,Jean-Francois Daneault,Gloria Vergara-Diaz,Ângelo Frederico Souza de Oliveira e Torres,Ana Paula Quixadá,Marcus de Lemos Fonseca,João Paulo Bomfim Cruz Vieira,Vitor Sotero dos Santos,Thiago C. Figueiredo,Thiago C. Figueiredo,Elen Beatriz Pinto,Norberto Peña,Paolo Bonato,Paolo Bonato +14 more
TL;DR: A broad set of complex upper-limb movements can be modeled as a combination of motor primitives with a bell-shaped velocity profile defined according to the axes of the above-defined coordinate system and it is discovered that these motorPrimitives scale with the size of movement according to a power law.
Journal ArticleDOI
The Use of a Finger-Worn Accelerometer for Monitoring of Hand Use in Ambulatory Settings
TL;DR: A machine learning-based analytic pipeline is introduced that estimates the amount of hand use using data obtained from the wearable sensors and validates its estimation performance against a new benchmark measurement based on data recorded by a motion capture system.
Journal ArticleDOI
A novel upper-limb function measure derived from finger-worn sensor data collected in a free-living setting.
TL;DR: The analysis of the data recorded in the laboratory showed that the proposed measure of upper-limb function is suitable to accurately detect unilateral vs. bilateral use of the upper limbs, including both gross arm movements and fine hand movements.
Journal ArticleDOI
Recommendation to Use Wearable-Based mHealth in Closed-Loop Management of Acute Cardiovascular Disease Patients During the COVID-19 Pandemic
Nan Ji,Ting Xiang,Paolo Bonato,Nigel H. Lovell,Sze-Yuan Ooi,David A. Clifton,Metin Akay,Xiaorong Ding,Bryan P. Yan,Vincent Mok,Dimitrios I. Fotiadis,Yuan-Ting Zhang +11 more
TL;DR: In this paper, wearable device based mobile health (mHealth) is used as an early screening and real-time monitoring tool to address this balance and facilitate remote monitoring to tackle this unprecedented challenge.
Proceedings ArticleDOI
Using wearable sensors to predict the severity of symptoms and motor complications in late stage Parkinson's Disease
Shyamal Patel,Richard Hughes,Nancy Huggins,David G. Standaert,John H. Growdon,Jennifer G. Dy,Paolo Bonato +6 more
TL;DR: This paper implemented Support Vector Machines (SVM's) to predict clinical scores of the severity of Parkinsonian symptoms and motor complications and determined the optimal window length to extract features from the sensor data.