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Simultaneous estimation of muscle fibre conduction velocity and muscle fibre orientation using 2D multichannel surface electromyogram

Gronlund, C. (författare)
Grönlund, C., Dept. of Biomedical Eng./Informatics, University Hospital, Umeå, Sweden, Ctr. for Biomed. Engineering/Physics, Umeå University, Umeå, Sweden
Östlund, Nils (författare)
Linköpings universitet,Hälsouniversitetet,Rehabiliteringsmedicin
Roeleveld, K. (författare)
Human Movement Sciences Program, Norwegian Univ. of Sci./Technology, Trondheim, Norway
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Karlsson, J.S. (författare)
Dept. of Biomedical Eng./Informatics, University Hospital, Umeå, Sweden, Ctr. for Biomed. Engineering/Physics, Umeå University, Umeå, Sweden
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Grönlund, C, Dept. of Biomedical Eng./Informatics, University Hospital, Umeå, Sweden, Ctr. for Biomed. Engineering/Physics, Umeå University, Umeå, Sweden Hälsouniversitetet (creator_code:org_t)
2005
2005
Engelska.
Ingår i: Medical and Biological Engineering and Computing. - 0140-0118 .- 1741-0444. ; 43:1, s. 63-70
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • The paper presents a new approach for simultaneous estimation of muscle fibre conduction velocity (MFCV) and muscle fibre orientation (MFO) for motor units (MUs) in two-dimensional (2D) multichannel surface electromyography recordings. This is an important tool for detecting changes and abnormalities in muscle function and structure. In addition, simultaneous estimation of MFO and MFCV avoids the necessity of manual electrode alignment. The proposed method detected propagating MU action potentials (MUAPs) in a running time window as moving components in amplitude maps. Thereafter, estimations were obtained by fitting a three-dimensional function to these maps. The performance was evaluated using synthetic MU signals at 10 dB SNR and authentic biceps brachii measurements. Results demonstrated MFCV and MFO estimates with standard deviations of less than 0.05 m s-1 and 1° for simulated signals, and less than 0.2 m s-1 and 4° for experimental data. However, standard deviations as low as 0.12 m s-1 and 1.6° from real signals were demonstrated. It was concluded that the method performs as well as, or better than, linear array multichannel methods when individual propagating MUAPs can be identified, even if electrodes are not aligned with fibre direction. © IFMBE 2005.

Nyckelord

Conduction velocity
EMG
Fibre orientation
Motor unit
Multichannel
Surface electromyography
MEDICINE
MEDICIN

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