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[HTML][HTML] IMU-based motion capture system for rehabilitation applications: A systematic review
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 …
systems in rehabilitation has grown significantly. This paper aimed to provide an overview of …
[HTML][HTML] A sensor-based perspective in early-stage parkinson's disease: Current state and the need for machine learning processes
Parkinson's disease (PD) is a progressive neurodegenerative disorder associated with
dysfunction of dopaminergic neurons in the brain, lack of dopamine and the formation of …
dysfunction of dopaminergic neurons in the brain, lack of dopamine and the formation of …
CoFe2O4 embedded bacterial cellulose for flexible, biodegradable, and self-powered electromagnetic sensor
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
investigations artificially manipulate arm swing amplitude and examine average patterns …