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Lisa Alcock

Showing results (61-70 of 72) with videos related to

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Journal of Parkinson'S Disease|December 26, 2025
The future of clinical trials? Monitoring mobility as an outcome measure in Parkinson's disease: The mobilise-D studyAlison J Yarnall, Lisa Alcock, Christian Schlenstedt, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|March 3, 2025
Automated Multicohort Mobility Assessment With an Instrumented L-Test (iL-test)Jose Albites-Sanabria, Pierpaolo Palumbo, Ilaria D'Ascanio, et al.
Journal of Neuroengineering and Rehabilitation|December 15, 2022
Design and validation of a multi-task, multi-context protocol for real-world gait simulationKirsty Scott, Tecla Bonci, Francesca Salis, et al.
Frontiers in Bioengineering and Biotechnology|May 22, 2023
A multi-sensor wearable system for the assessment of diseased gait in real-world conditionsFrancesca Salis, Stefano Bertuletti, Tecla Bonci, et al.
Scientific Reports|November 21, 2024
Author Correction: Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable deviceCameron Kirk, Arne Küderle, M Encarna Micó-Amigo, et al.
Scientific Reports|January 19, 2024
Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable deviceCameron Kirk, Arne Küderle, M Encarna Micó-Amigo, et al.
Frontiers in Neurology|November 1, 2023
Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseasesRobbin Romijnders, Francesca Salis, Clint Hansen, et al.
Journal of Neuroengineering and Rehabilitation|May 3, 2024
Correction: Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortiumM Encarna Micó-Amigo, Tecla Bonci, Anisoara Paraschiv-Ionescu, et al.
JMIR Formative Research|May 1, 2024
Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation StudyFelix Kluge, Yonatan E Brand, M Encarna Micó-Amigo, et al.
Journal of Neuroengineering and Rehabilitation|June 14, 2023
Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortiumM Encarna Micó-Amigo, Tecla Bonci, Anisoara Paraschiv-Ionescu, et al.
Pageof 8

Showing results (61-70 of 72) with videos related to

Sort By:
Pageof 8
Journal of Parkinson'S Disease|December 26, 2025
The future of clinical trials? Monitoring mobility as an outcome measure in Parkinson's disease: The mobilise-D studyAlison J Yarnall, Lisa Alcock, Christian Schlenstedt, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|March 3, 2025
Automated Multicohort Mobility Assessment With an Instrumented L-Test (iL-test)Jose Albites-Sanabria, Pierpaolo Palumbo, Ilaria D'Ascanio, et al.
Journal of Neuroengineering and Rehabilitation|December 15, 2022
Design and validation of a multi-task, multi-context protocol for real-world gait simulationKirsty Scott, Tecla Bonci, Francesca Salis, et al.
Frontiers in Bioengineering and Biotechnology|May 22, 2023
A multi-sensor wearable system for the assessment of diseased gait in real-world conditionsFrancesca Salis, Stefano Bertuletti, Tecla Bonci, et al.
Scientific Reports|November 21, 2024
Author Correction: Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable deviceCameron Kirk, Arne Küderle, M Encarna Micó-Amigo, et al.
Scientific Reports|January 19, 2024
Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable deviceCameron Kirk, Arne Küderle, M Encarna Micó-Amigo, et al.
Frontiers in Neurology|November 1, 2023
Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseasesRobbin Romijnders, Francesca Salis, Clint Hansen, et al.
Journal of Neuroengineering and Rehabilitation|May 3, 2024
Correction: Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortiumM Encarna Micó-Amigo, Tecla Bonci, Anisoara Paraschiv-Ionescu, et al.
JMIR Formative Research|May 1, 2024
Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation StudyFelix Kluge, Yonatan E Brand, M Encarna Micó-Amigo, et al.
Journal of Neuroengineering and Rehabilitation|June 14, 2023
Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortiumM Encarna Micó-Amigo, Tecla Bonci, Anisoara Paraschiv-Ionescu, et al.
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