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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Proceedings ArticleDOI
Robotically generated force fields for stroke patient pelvic obliquity gait rehabilitation
TL;DR: Healthy human subject testing confirmed efficacy of the RGR Trainer method to impart significant gait restoration forces as a response to abnormal pelvic obliquity (hip hiking).
Journal ArticleDOI
Assessing aberrant muscle activity patterns via the analysis of surface EMG data collected during a functional evaluation
Fatemeh Noushin Golabchi,Stefano Sapienza,Giacomo Severini,Giacomo Severini,Phil Reaston,Frank J. Junior Tomecek,Danilo Demarchi,Maryrose Cusimano Reaston,Paolo Bonato +8 more
TL;DR: The proposed approach relies on EMG-based measures to generate accurate estimates of the severity of aberrant patterns of muscle activity to derive clinically-relevant information from EMG data collected during functional evaluations.
Journal ArticleDOI
Estimating Neural Control from Concentric vs. Eccentric Surface Electromyographic Representations during Fatiguing, Cyclic Submaximal Back Extension Exercises
Gerold Ebenbichler,Lena Unterlerchner,Richard Habenicht,Paolo Bonato,Josef Kollmitzer,Patrick Mair,Sara Riegler,Thomas Kienbacher +7 more
TL;DR: Different neural control strategies during the eccentric vs. the concentric portions of a cyclic, submaximal, fatiguing trunk extension exercise are explained by relying upon the principles of orderly recruitment and common drive governing motor unit behavior.
Proceedings ArticleDOI
Optimizing deep brain stimulation settings using wearable sensing technology
TL;DR: In this article, the authors used wearable sensors to quantitatively track changes in the severity of symptoms in patients with Parkinson's disease undergoing programming of the stimulator, based on features derived from wearable sensors.
Journal ArticleDOI
Modelling and simulation-based analysis of a façade-integrated decentralized ventilation unit
TL;DR: In this article, the authors present a performance study of a facade-integrated decentralized mechanical ventilation unit and assess the potential of this solution to reduce the HVAC energy consumption in perimetral office areas.