Author/Editor | Plevin, Eric; Zazula, Damjan | |
Title | Decomposition of surface EMG signals using non-linear LMS optimisation of higher-order cumulants | |
Type | članek | |
Source | In: Kokol P, Stiglic B, Zorman M, et al, editors. Proceedings of the 15th IEEE symposium on computer-based medical systems (CBMS 2002); 2002 Jun 4-7; Maribor. Los Alamitos: Institute of electrical and electronics engineers, | |
Publication year | 2002 | |
Volume | str. 149-54 | |
Language | eng | |
Abstract | This paper deals with the problem of decomposition of surface electromyograms (SEMG). According to the physiological facts, a multiple-input multiple-output (MIMO) is used. The measured signals are taken as the channel responses corresponding to the motor-unit action potentials (MUAPs) convolution by the innervation pulse trains. The decomposition is based on the third-order cumulants whose values enter as coefficients of nonlinear system of equations. The system is solved by nonlinear least mean square (LMS) optimisation. Synthetic SEMG signals from a MIMO(2,3) with additive Gaussian noise with SNRs of 10 and 0 dB prove that a successful multichannel decomposition is possible also in very noisy environments. | |
Descriptors | ELECTROCARDIOGRAPHY DIAGNOSIS, COMPUTER-ASSISTED |