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
Characterization of motor unit behavior in patients with amyotrophic lateral sclerosis
Patrick K. Kasi,Lisa S. Krivickas,Melvin Meister,Effie Chew,Paolo Bonato,Maurizio Schmid,Gary Kamen,Pu Liu,Edward A. Clancy +8 more
TL;DR: The behavior of active motor units identified via analysis of electromyographic (EMG) signals recorded from the first dorsal interosseous (FDI) muscle using a quadrifilar needle electrode was investigated.
ReportDOI
State-of-the-art and SWOT analysis of building integrated solar envelope systems : deliverables A.1 and A.2
Paolo Bonato,Roberto Fedrizzi,Matteo D'Antoni,Michaela Meir,Andre Kostro,Andreas Hafner,Antía Varela Souto,Beñat Arregi,Benedetta Copertaro,Brian Wilkinson,Carolin Hubschneider,David Geisler-Moroder,Efstratios Rounis,Elena Rico,Ignacio Gonzalez Perez,James Walshe,Jingchun Chen,Johann Aschauer,John Hollick,Julen Astudillo,Maarten de Haas,Martin Dietz,Noel O’Neill,Paul-Rouven Denz,Peru Elguezabal,Philippe Lemarchand,Rafic Hanbali,Riccardo Pinotti,Robert Weitlaner,Roberto Garay,Roberto Lollini,Rcgm Roel Loonen,Sam Kin,Samuel B. de Vries,Stefano Avesani,Teodosio del Caño,Vickie Aagesen,Xingxing Zhang,Zissis Ioannidis +38 more
TL;DR: The present document includes a state-of-the-art review of solar envelope systems that are already on the market or that can potentially reach that stage in a short-medium timeframe.
Proceedings ArticleDOI
Using Wearable Sensors to Enhance DBS Parameter Adjustment for Parkinson's Disease Patients Through Measures of Motor Response
Shyamal Patel,Todd Hester,R. Hughes,N. Huggins,David G. Standaert,Alice,Alice W. Flaherty,Paolo Bonato +7 more
TL;DR: In this paper, features derived from wearable sensors (accelerometers) are able to characterize changes in the severity of bradykinesia observed when turning the stimulator off and on as well as changes while the stimulators is off for a period of time.
Proceedings ArticleDOI
Activity detection in uncontrolled free-living conditions using a single accelerometer
Sunghoon Ivan Lee,Muzaffer Y. Ozsecen,Luca Della Toffola,Jean-Francois Daneault,Alessandro Puiatti,Shyamal Patel,Paolo Bonato +6 more
TL;DR: Four different machine learning techniques for detecting occurrences of walking in uncontrolled environments based on a dataset collected from a total of 4 healthy subjects are investigated and multi-class classifier (random forest) based detection method showed the best performance.
Proceedings ArticleDOI
From hand-perspective visual information to grasp type probabilities: deep learning via ranking labels
Mo Han,Sezen Yagmur Gunay,Ilkay Yildiz,Paolo Bonato,Cagdas D. Onal,Taskin Padir,Gunar Schirner,Deniz Erdogmus +7 more
TL;DR: This work builds a novel probabilistic classifier according to the Plackett-Luce model to predict the probability distribution over grasps, and exploits the statistical model over label rankings to solve the permutation domain problems via a maximum likelihood estimation.