Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review

H Zhao, J Cao, J Xie, WH Liao, Y Lei, H Cao… - Digital …, 2023 - journals.sagepub.com
Objective Neurodegenerative diseases affect millions of families around the world, while
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

CC Guo, PA Chiesa, C de Moor, MS Fazeli… - Journal of Medical …, 2022 - jmir.org
Background With the advent of smart sensing technology, mobile and wearable devices can
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

L Sigcha, B Domínguez, L Borzì, N Costa, S Costa… - Electronics, 2022 - mdpi.com
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 …

Predicting updrs motor symptoms in individuals with Parkinson's disease from force plates using machine learning

T Exley, S Moudy, RM Patterson, J Kim… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Parkinson's disease (PD) is a neurodegenerative disease that affects motor abilities with
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 …

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 …

[HTML][HTML] Detection of hypomimia in patients with Parkinson's disease via smile videos

G Su, B Lin, J Yin, W Luo, R Xu, J Xu… - Annals of Translational …, 2021 - ncbi.nlm.nih.gov
Background Parkinson's disease (PD) is a neurodegenerative disease characterized by the
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 …

A self-supervised metric learning framework for the arising-from-chair assessment of parkinsonians with graph convolutional networks

R Guo, J Sun, C Zhang, X Qian - IEEE Transactions on Circuits …, 2022 - ieeexplore.ieee.org
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 …

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 …