Surface EMG muscular conduction velocity measurement system implemented on a standard personal computer without A/D convertor

Hägg, Göran M; Gloria, R.

doi:10.1007/bf02524251

Cited by 3 publications

(1 citation statement)

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“…Several methods have been proposed to estimate MFCV from SEMG (LYNN, 1979;HAGG and GLORIA, 1994;FARINA and MERLETTI, 2000;HOGREL and DUCHI~NE, 2002). Most of these are global techniques, based on only a few channels, and give an average velocity from signals composed of several MU action potentials (MUAPs), with each having a different MFCV.…”

Section: Introductionmentioning

confidence: 99%

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

Grönlund

Östlund

Roeleveld

et al. 2005

Med. Biol. Eng. Comput.

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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 degrees for simulated signals, and less than 0.2 m s(-1) and 4 degrees for experimental data. However, standard deviations as low as 0.12 m s(-1) and 1.6 degrees 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.

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Section: Introductionmentioning

confidence: 99%