Biomedical subjects

L Y Cai

Publications and source records attributed to L Y Cai.

2 recordsLinked to original sources

PubMed2000

[Complexity analysis of surface EMG signals].

OBJECTIVE: Since the neurophysiological system is a highly nonlinear dynamic system, nonlinear dynamic information of EMG signals were extracted to describe its characteristics. METHOD: Two-channel surface EMG signals were extracted and analyzed to reflect the complexity degree of the dynamics of the neurophysiological system. RESULT: Complexity measures of four kinds of forearm motions were calculated and compared. They showed a good separability. CONCLUSION: Experimental results proved that this measure, having a simple algorithm, is suitable for short data sets and suitable for real time processing. It provides a new measurable index for both physiological and pathological analysis.

Electromyography↗

PubMed2000

[A surface EMG signal identification method based on short-time Fourier transform].

A surface EMG signal identification method based on short-time fourier transform is presented in this paper. To fully utilize the nonstationary character of the EMG signal, short-time fourier transform is employed to get the signal's time-frequency representation. Singular value decomposition is then used in the spectrogram to extract feature vector for pattern identification. Four types of movement of forearm, hand grasp, hand extension, wrist pronation and wrist supination can be identified from surface EMG signals. Experimental results show that it is a stable and efficient method for extracting features.

Electromyography↗