A spasticity assessment method for voluntary movement using data fusion and machine learning
Y Chen, S Yu, Q Cai, S Huang, K Ma, H Zheng… - … Signal Processing and …, 2021 - Elsevier
The assessment of spasticity under voluntary movement is helpful for the therapist to
comprehensively assess the patient's dyskinesia. However, current researches focus on …
comprehensively assess the patient's dyskinesia. However, current researches focus on …
AI-based automatic system for assessing upper-limb spasticity of patients with stroke through voluntary movement
Spasticity is a common complication for patients with stroke, but only few studies investigate
the relation between spasticity and voluntary movement. This study proposed a novel …
the relation between spasticity and voluntary movement. This study proposed a novel …
Clinical Spasticity Assessment Assisted by Machine Learning Methods and Rule-Based Decision
The Modified Ashworth Scale (MAS) is commonly used to assess spasticity in clinics. The
qualitative description of MAS has resulted in ambiguity during spasticity assessment. This …
qualitative description of MAS has resulted in ambiguity during spasticity assessment. This …
Biomechanical parameter assessment for classification of Parkinson's disease on clinical scale
The primary goal of this study was to investigate computerized assessment methods to
classify motor dysfunctioning of patients with Parkinson's disease on the clinical scale. In this …
classify motor dysfunctioning of patients with Parkinson's disease on the clinical scale. In this …
A novel quantitative spasticity evaluation method based on surface electromyogram signals and adaptive neuro fuzzy inference system
S Yu, Y Chen, Q Cai, K Ma, H Zheng… - Frontiers in neuroscience, 2020 - frontiersin.org
Stroke patients often suffer from spasticity. Before treatment of spasticity, there are often
practical demands for objective and quantitative assessment of muscle spasticity. However …
practical demands for objective and quantitative assessment of muscle spasticity. However …
A regression-based framework for quantitative assessment of muscle spasticity using combined EMG and inertial data from wearable sensors
There have always been practical demands for objective and accurate assessment of
muscle spasticity beyond its clinical routine. A novel regression-based framework for …
muscle spasticity beyond its clinical routine. A novel regression-based framework for …
Quantifying spasticity with limited swinging cycles using pendulum test based on phase amplitude coupling
Parameters derived from the goniometer measures in the Pendulum test are insufficient in
describing the function of abnormal muscle activity in the spasticity. To explore a quantitative …
describing the function of abnormal muscle activity in the spasticity. To explore a quantitative …
An automatic evaluation method for Parkinson's dyskinesia using finger tapping video for small samples
Z Li, K Lu, M Cai, X Liu, Y Wang, J Yang - Journal of Medical and …, 2022 - Springer
Purpose The assessment of dyskinesia in Parkinson's disease (PD) based on Artificial
Intelligence technology is a significant and challenging task. Based on the representative …
Intelligence technology is a significant and challenging task. Based on the representative …
[HTML][HTML] Artificial neural network learns clinical assessment of spasticity in modified Ashworth scale
JH Park, Y Kim, KJ Lee, YS Yoon, SH Kang… - Archives of Physical …, 2019 - Elsevier
Objective To propose an artificial intelligence (AI)-based decision-making rule in modified
Ashworth scale (MAS) that draws maximum agreement from multiple human raters and to …
Ashworth scale (MAS) that draws maximum agreement from multiple human raters and to …
Analysis of machine learning-based assessment for elbow spasticity using inertial sensors
Spasticity is a frequently observed symptom in patients with neurological impairments.
Spastic movements of their upper and lower limbs are periodically measured to evaluate …
Spastic movements of their upper and lower limbs are periodically measured to evaluate …