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Adaptive spatio-tem...
Adaptive spatio-temporal filtering of multichannel surface EMG signals
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- Östlund, Nils (författare)
- Linköpings universitet,Umeå universitet,Radiofysik,Hälsouniversitetet,Rehabiliteringsmedicin
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- Yu, Jun, 1962- (författare)
- SLU, Centre of Biostochastics,Centre for Biomedical Engineering and Physics, Umeå University, Umeå, Sweden, Centre of Biostochastics, Swedish University of Agricultural Sciences, Umeå, Sweden
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- Karlsson, Stefan (författare)
- Umeå universitet,Radiofysik,Department of Biomedical Engineering and Informatics, University Hospital, 901 85 Umeå, Sweden, Centre for Biomedical Engineering and Physics, Umeå University, Umeå, Sweden
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(creator_code:org_t)
- 2006-03-07
- 2006
- Engelska.
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Ingår i: Medical and Biological Engineering and Computing. - : Springer Science and Business Media LLC. - 0140-0118 .- 1741-0444. ; 44:3, s. 209-215
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- A motor unit (MU) is defined as an anterior horn cell, its axon, and the muscle fibres innervated by the motor neuron. A surface electromyogram (EMG) is a superposition of many different MU action potentials (MUAPs) generated by active MUs. The objectives of this study were to introduce a new adaptive spatio-temporal filter, here called maximum kurtosis filter (MKF), and to compare it with existing filters, on its performance to detect a single MUAP train from multichannel surface EMG signals. The MKF adaptively chooses the filter coefficients by maximising the kurtosis of the output. The proposed method was compared with five commonly used spatial filters, the weighted low-pass differential filter (WLPD) and the marginal distribution of a continuous wavelet transform. The performance was evaluated using simulated EMG signals. In addition, results from a multichannel surface EMG measurement fro from a subject who had been previously exposed to radiation due to cancer were used to demonstrate an application of the method. With five time lags of the MKF, the sensitivity was 98.7% and the highest sensitivity of the traditional filters was 86.8%, which was obtained with the WLPD. The positive predictivities of these filters were 87.4 and 80.4%, respectively. Results from simulations showed that the proposed spatio-temporal filtration technique significantly improved performance as compared with existing filters, and the sensitivity and the positive predictivity increased with an increase in number of time lags in the filter.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering (hsv//eng)
Nyckelord
- Electromyography
- EMG
- Multichannel
- Spatio-temporal filter
- Kurtosis
- Signal Processing
- signalbehandling
- MEDICINE
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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