Quantifying Spasticity With Limited Swinging Cycles Using Pendulum Test Based on Phase Amplitude Coupling
Autor: | Cheng Yen Wang, Po-Lei Lee, Jiunn Horng Kang, Yung-Hung Wang, Hsu Wen Vincent Young, Chien-Hung Yeh, Men Tzung Lo |
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Rok vydání: | 2016 |
Předmět: |
Adult
Male 0206 medical engineering Biomedical Engineering Angular velocity 02 engineering and technology Electromyography Sensitivity and Specificity Hilbert–Huang transform Electronic mail Root mean square 03 medical and health sciences 0302 clinical medicine Oscillometry Physical Stimulation Internal Medicine medicine Humans Diagnosis Computer-Assisted Range of Motion Articular Physical Examination Simulation Aged Mathematics Arthrometry Articular medicine.diagnostic_test General Neuroscience Rehabilitation Mathematical analysis Pendulum Reproducibility of Results Middle Aged 020601 biomedical engineering Amplitude Muscle Spasticity Goniometer Female Algorithms 030217 neurology & neurosurgery |
Zdroj: | IEEE Transactions on Neural Systems and Rehabilitation Engineering. 24:1081-1088 |
ISSN: | 1558-0210 1534-4320 |
Popis: | 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 evaluation of muscle activation-movement interaction, we propose a novel index based on phase amplitude coupling (PAC) analysis with the consideration of the relations between movement and surface electromyography (SEMG) activity among 22 hemiplegic stroke patients. To take off trend and noise, we use the empirical mode decomposition (EMD) to obtain intrinsic mode functions (IMFs) of the angular velocity due to its superior decomposing ability in nonlinear oscillations. Shannon entropy based on angular velocity (phase)-envelope of EMG (amplitude) distribution was calculated to demonstrate characteristics of the coupling between SEMG activity and joint movement. We also compare our results with those from traditional methods such as the normalized relaxation index derived from the Pendulum test and the mean root mean square (RMS) of the SEMG signals in the study. Our results show effective discrimination ability between spastic and nonaffected limbs using our method $({\rm p} . This study indicates the feasibility of using the novel indices based on the PAC in evaluation the spasticity among the hemiplegic stroke patients with less than three swinging cycles. |
Databáze: | OpenAIRE |
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