Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment. - Björn M. Eskofier; Sunghoon Ivan Lee; Jean-Francois Daneault; Fatemeh Noushin Golabchi; Gabriela Ferreira-Carvalho; Gloria Vergara-Diaz; Stefano Sapienza; Gianluca Costante; Jochen Klucken; Thomas Kautz; Paolo Bonato (EMBC, 2016)

On Integration and Validation of a Very Low Complexity ATC UWB System for Muscle Force Transmission. - Stefano Sapienza; Marco Crepaldi; Paolo Motto Ros; Alberto Bonanno; Danilo Demarchi (IEEE Trans. Biomed. Circuits Syst., 2016)

On the Application of Bio-inspired Threshold Techniques to Human Movement. - Stefano Sapienza (2016)

Very low power event-based surface EMG acquisition system with off-the-shelf components. - David Alejandro Fernandez Guzman; Stefano Sapienza; Bianca Sereni; Paolo Motto Ros (BioCAS, 2017)

Using a Minimum Set of Wearable Sensors to Assess Quality of Movement in Stroke Survivors. - Stefano Sapienza; Catherine P. Adans-Dester; Anne T. O'Brien; Gloria Vergara-Diaz; Sunghoon Ivan Lee; Shyamal Patel; Randie Black-Schaffer; Ross Zafonte; Paolo Bonato; Claire Meagher; Ann-Marie Hughes; Jane H. Burridge; et al. (CHASE, 2017)

Wireless Low Energy System Architecture for Event-Driven Surface Electromyography. - Fabio Rossi; Paolo Motto Ros; Stefano Sapienza; Paolo Bonato; Emilio Bizzi; Danilo Demarchi (ApplePies, 2018)

UWB Tracking for Home Care Systems with Off-the-Shelf Components. - Edoardo Bonizzoni; Alessandro Puiatti; Stefano Sapienza; Paolo Motto Ros; Danilo Demarchi; Paolo Bonato (ISCAS, 2018)

On-Line Event-Driven Hand Gesture Recognition Based on Surface Electromyographic Signals. - Stefano Sapienza; Paolo Motto Ros; David Alejandro Fernandez Guzman; Fabio Rossi; Rossana Terracciano; Elisa Cordedda; Danilo Demarchi (ISCAS, 2018)

Development of a "transparent operation mode" for a lower-limb exoskeleton designed for children with cerebral palsy. - Rafhael M. Andrade; Stefano Sapienza; Paolo Bonato (ICORR, 2019)

Assessing the Feasibility of Augmenting Fall Detection Systems by Relying on UWB-Based Position Tracking and a Home Robot. - Maurizio Capra; Stefano Sapienza; Paolo Motto Ros; Alessio Serrani; Maurizio Martina; Alessandro Puiatti; Paolo Bonato; Danilo Demarchi (Sensors, 2020)

Trajectory Tracking Impedance Controller in 6-DoF Lower-Limb Exoskeleton for Over-Ground Walking Training: Preliminary Results. - Rafhael M. Andrade; Stefano Sapienza; Eric E. Fabara; Paolo Bonato (ISMR, 2021)

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. - Solveig K. Sieberts; Jennifer Schaff; Marlena Duda; Bálint Á Pataki; Ming Sun; Phil Snyder; Jean-Francois Daneault; Federico Parisi; Gianluca Costante; Udi Rubin; Peter Banda; Yooree Chae; et al. (npj Digit. Medicine, 2021)

Experimental Evaluation of a Transparent Operation Mode for a Lower-Limb Exoskeleton Designed for Children with Cerebral Palsy. - Rafhael M. Andrade; Stefano Sapienza; Abolfazl Mohebbi; Eric E. Fabara; Paolo Bonato (IROS, 2023)

Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease. - Cyril Brzenczek; Quentin Klopfenstein; Tom Hähnel; Holger Fröhlich; Enrico Glaab; Geeta Acharya; Gloria Aguayo; Myriam Alexandre; Muhammad Ali; Wim Ammerlann; Giuseppe Arena; Michele Bassis; et al. (npj Digit. Medicine, 2024)

Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson's disease. - Rebecca Ting Jiin Loo; Lukas Pavelka; Graziella Mangone; Fouad Khoury; Marie Vidailhet; Jean-Christophe Corvol; Enrico Glaab; Geeta Acharya; Gloria Aguayo; Myriam Alexandre; Muhammad Ali; Wim Ammerlann; et al. (npj Digit. Medicine, 2025)