[HTML][HTML] IMU-based motion capture system for rehabilitation applications: A systematic review

C Gu, W Lin, X He, L Zhang, M Zhang - Biomimetic Intelligence and …, 2023 - Elsevier
In recent years, the use of inertial measurement unit (IMU)-based motion capture (Mocap)
systems in rehabilitation has grown significantly. This paper aimed to provide an overview of …

CoFe2O4 embedded bacterial cellulose for flexible, biodegradable, and self-powered electromagnetic sensor

K Chen, Y Li, Z Du, S Hu, J Huang, Z Shi, B Su, G Yang - Nano Energy, 2022 - Elsevier
Self-powered flexible electromagnetic sensors based on flexible magnets are promising to
be applied in wearable field. As the core component of motion sensors, flexible magnets are …

Duo-gait: A gait dataset for walking under dual-task and fatigue conditions with inertial measurement units

L Zhou, E Fischer, CM Brahms, U Granacher, B Arnrich - Scientific data, 2023 - nature.com
In recent years, there has been a growing interest in develo** and evaluating gait analysis
algorithms based on inertial measurement unit (IMU) data, which has important implications …

[HTML][HTML] Evaluation of arm swing features and asymmetry during gait in Parkinson's disease using the azure kinect sensor

C Ferraris, G Amprimo, G Masi, L Vismara… - Sensors, 2022 - mdpi.com
Arm swinging is a typical feature of human walking: Continuous and rhythmic movement of
the upper limbs is important to ensure postural stability and walking efficiency. However …

Analytical and clinical validity of wearable, multi-sensor technology for assessment of motor function in patients with Parkinson's disease in Japan

G Oyama, M Burq, T Hatano, WJ Marks Jr, R Kapur… - Scientific reports, 2023 - nature.com
Continuous, objective monitoring of motor signs and symptoms may help improve tracking of
disease progression and treatment response in Parkinson's disease (PD). This study …

Wearable sensor devices can automatically identify the ON-OFF status of patients with Parkinson's disease through an interpretable machine learning model

X Wu, L Ma, P Wei, Y Shan, P Chan, K Wang… - Frontiers in …, 2024 - frontiersin.org
Introduction Accurately and objectively quantifying the clinical features of Parkinson's
disease (PD) is crucial for assisting in diagnosis and guiding the formulation of treatment …

Arm swing responsiveness to dopaminergic medication in Parkinson's disease depends on task complexity

E Warmerdam, R Romijnders, C Hansen… - npj Parkinson's …, 2021 - nature.com
The evidence of the responsiveness of dopaminergic medication on gait in patients with
Parkinson's disease is contradicting. This could be due to differences in complexity of the …

Use of accelerometers and inertial measurement units to quantify movement of tactical athletes: A systematic review

NA Edwards, MK Talarico, A Chaudhari… - Applied Ergonomics, 2023 - Elsevier
The dynamic work environments of tactical athletes are difficult to replicate in a laboratory.
Accelerometers and inertial measurement units provide a way to characterize movement in …

[HTML][HTML] Joint behaviour during arm swing changes with gait speed and predicts spatiotemporal variability and dynamic stability in healthy young adults

CA Bailey, RB Graham, J Nantel - Gait & Posture, 2023 - Elsevier
Background Arm swing is linked to gait stability. How this is accomplished is unclear as most
investigations artificially manipulate arm swing amplitude and examine average patterns …