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Luca Palmerini

Showing results (31-40 of 54) with videos related to

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NPJ Digital Medicine|March 13, 2026
Continuous assessment of daily-living gait using self-supervised learning of wrist-worn accelerometer dataYonatan E Brand, Aron S Buchman, Felix Kluge, et al.
Journal of Parkinson'S Disease|August 7, 2023
Can Digital Mobility Assessment Enhance the Clinical Assessment of Disease Severity in Parkinson's Disease?Cameron Kirk, Rana Zia Ur Rehman, Brook Galna, et al.
Medrxiv : the Preprint Server for Health Sciences|June 6, 2025
Continuous Assessment of Daily-Living Gait Using Self-Supervised Learning of Wrist-Worn Accelerometer DataYonatan E Brand, Aron S Buchman, Felix Kluge, et al.
NPJ Parkinson'S Disease|June 24, 2026
Modulation and subcortical sleep signatures in Parkinson's disease under chronic STN-DBS using synchronized sensing and videopolysomnographyLuca Baldelli, Ilaria D'Ascanio, Ilaria Cani, et al.
Clinical Rehabilitation|July 14, 2025
A personalised, gait training telerehabilitation programme for people with Parkinson's Disease: A long-term pilot studyGiovanna Lopane, Ilaria D'Ascanio, Mattia Corzani, et al.
Research Square|April 1, 2024
Automated Gait Detection in Older Adults during Daily-Living using Self-Supervised Learning of Wrist-Worn Accelerometer Data: Development and Validation of ElderNetYonatan E Brand, Felix Kluge, Luca Palmerini, et al.
Scientific Reports|September 6, 2024
Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adultsYonatan E Brand, Felix Kluge, Luca Palmerini, et al.
European Review of Aging and Physical Activity : Official Journal of the European Group for Research Into Elderly and Physical Activity|November 4, 2016
The FARSEEING real-world fall repository: a large-scale collaborative database to collect and share sensor signals from real-world fallsJochen Klenk, Lars Schwickert, Luca Palmerini, et al.
Frontiers in Bioengineering and Biotechnology|June 20, 2022
An Algorithm for Accurate Marker-Based Gait Event Detection in Healthy and Pathological Populations During Complex Motor TasksTecla Bonci, Francesca Salis, Kirsty Scott, et al.
Npj Aging|July 4, 2025
Walking into aging: real-world mobility patterns and digital benchmarks from the InCHIANTI StudyJose Albites-Sanabria, Pierpaolo Palumbo, Stefania Bandinelli, et al.
Pageof 6

Showing results (31-40 of 54) with videos related to

Sort By:
Pageof 6
NPJ Digital Medicine|March 13, 2026
Continuous assessment of daily-living gait using self-supervised learning of wrist-worn accelerometer dataYonatan E Brand, Aron S Buchman, Felix Kluge, et al.
Journal of Parkinson'S Disease|August 7, 2023
Can Digital Mobility Assessment Enhance the Clinical Assessment of Disease Severity in Parkinson's Disease?Cameron Kirk, Rana Zia Ur Rehman, Brook Galna, et al.
Medrxiv : the Preprint Server for Health Sciences|June 6, 2025
Continuous Assessment of Daily-Living Gait Using Self-Supervised Learning of Wrist-Worn Accelerometer DataYonatan E Brand, Aron S Buchman, Felix Kluge, et al.
NPJ Parkinson'S Disease|June 24, 2026
Modulation and subcortical sleep signatures in Parkinson's disease under chronic STN-DBS using synchronized sensing and videopolysomnographyLuca Baldelli, Ilaria D'Ascanio, Ilaria Cani, et al.
Clinical Rehabilitation|July 14, 2025
A personalised, gait training telerehabilitation programme for people with Parkinson's Disease: A long-term pilot studyGiovanna Lopane, Ilaria D'Ascanio, Mattia Corzani, et al.
Research Square|April 1, 2024
Automated Gait Detection in Older Adults during Daily-Living using Self-Supervised Learning of Wrist-Worn Accelerometer Data: Development and Validation of ElderNetYonatan E Brand, Felix Kluge, Luca Palmerini, et al.
Scientific Reports|September 6, 2024
Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adultsYonatan E Brand, Felix Kluge, Luca Palmerini, et al.
European Review of Aging and Physical Activity : Official Journal of the European Group for Research Into Elderly and Physical Activity|November 4, 2016
The FARSEEING real-world fall repository: a large-scale collaborative database to collect and share sensor signals from real-world fallsJochen Klenk, Lars Schwickert, Luca Palmerini, et al.
Frontiers in Bioengineering and Biotechnology|June 20, 2022
An Algorithm for Accurate Marker-Based Gait Event Detection in Healthy and Pathological Populations During Complex Motor TasksTecla Bonci, Francesca Salis, Kirsty Scott, et al.
Npj Aging|July 4, 2025
Walking into aging: real-world mobility patterns and digital benchmarks from the InCHIANTI StudyJose Albites-Sanabria, Pierpaolo Palumbo, Stefania Bandinelli, et al.
Pageof 6