Abstract
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 p < 0.0001∗. 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.
Original language | English |
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Article number | 7393838 |
Pages (from-to) | 1081-1088 |
Number of pages | 8 |
Journal | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
Volume | 24 |
Issue number | 10 |
DOIs | |
Publication status | Published - Oct 2016 |
Externally published | Yes |
Keywords
- Empirical mode decomposition (EMD)
- modulation index
- muscle strength level
- surface electromyography (SEMG)