Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review
Objective Neurodegenerative diseases affect millions of families around the world, while
various wearable sensors and corresponding data analysis can be of great support for …
various wearable sensors and corresponding data analysis can be of great support for …
[HTML][HTML] Digital devices for assessing motor functions in mobility-impaired and healthy populations: Systematic literature review
Background With the advent of smart sensing technology, mobile and wearable devices can
provide continuous and objective monitoring and assessment of motor function outcomes …
provide continuous and objective monitoring and assessment of motor function outcomes …
Bradykinesia detection in Parkinson's disease using smartwatches' inertial sensors and deep learning methods
Bradykinesia is the defining motor symptom of Parkinson's disease (PD) and is reflected as
a progressive reduction in speed and range of motion. The evaluation of bradykinesia …
a progressive reduction in speed and range of motion. The evaluation of bradykinesia …
Predicting updrs motor symptoms in individuals with Parkinson's disease from force plates using machine learning
Parkinson's disease (PD) is a neurodegenerative disease that affects motor abilities with
increasing severity as the disease progresses. Traditional methods for diagnosing PD …
increasing severity as the disease progresses. Traditional methods for diagnosing PD …
The Impact of Wearable Electronics in Assessing the Effectiveness of Levodopa Treatment in Parkinson's Disease
M Ricci, G Di Lazzaro, V Errico, A Pisani… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Objective: In order to evaluate Parkinson disease patients' response to therapeutic
interventions, sources of information are mainly patient reports and clinicians' assessment of …
interventions, sources of information are mainly patient reports and clinicians' assessment of …
Assessment of patients with Parkinson's disease based on federated learning
B Guan, L Yu, Y Li, Z Jia, Z Jin - International Journal of Machine Learning …, 2024 - Springer
This paper presents federated Learning (FL), which is based on wearable devices, and
applies the actual leg agility data that has been collected from people living with Parkinson's …
applies the actual leg agility data that has been collected from people living with Parkinson's …
[HTML][HTML] Detection of hypomimia in patients with Parkinson's disease via smile videos
Background Parkinson's disease (PD) is a neurodegenerative disease characterized by the
impairment of facial expression, known as hypomimia. Hypomimia has serious impacts on …
impairment of facial expression, known as hypomimia. Hypomimia has serious impacts on …
[HTML][HTML] 帕金森病康复机器人研究综述与展望
游煜根, 侯玮佳, 于宁波, 张松, 于洋, 朱志中, 党宇… - 机器人, 2022 - html.rhhz.net
总结了目前帕金森病康复机器人的研究现状, 并探讨了相关技术的未来发展方向. 首先,
通过与脑卒中对比, 重点介绍帕金森病的病理特点, 运动症状, 康复机理和治疗原则. 然后 …
通过与脑卒中对比, 重点介绍帕金森病的病理特点, 运动症状, 康复机理和治疗原则. 然后 …
A self-supervised metric learning framework for the arising-from-chair assessment of parkinsonians with graph convolutional networks
The onset and progression of Parkinson's disease (PD) gradually affect the patient's motor
functions and quality of life. The PD motor symptoms are usually assessed using the …
functions and quality of life. The PD motor symptoms are usually assessed using the …
Smartphone-Based Estimation of Item 3.8 of the MDS-UPDRS-III for Assessing Leg Agility in People With Parkinson's Disease
L Borzì, M Varrecchia, S Sibille, G Olmo… - IEEE Open Journal …, 2020 - ieeexplore.ieee.org
Goal: In this paper we investigated the use of smartphone sensors and Artificial Intelligence
techniques for the automatic quantification of the MDS-UPDRS-Part III Leg Agility (LA) task …
techniques for the automatic quantification of the MDS-UPDRS-Part III Leg Agility (LA) task …