Influence of inter-electrode distance, contraction type, and muscle on the relationship between the sEMG power spectrum and contraction force

Rodriguez‐Falces, Javier; Neyroud, Daria; Place, Nicolas

doi:10.1007/s00421-014-3041-4

Cited by 13 publications

(6 citation statements)

References 48 publications

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“…Contrary to potentiation of the M‐wave first phase, fatigue was not a prerequisite for enlargement of the second phase, as this phase was already increased after, for example, a 30% MVC of 3 s. The extent of potentiation of Ampli SECOND increased with the intensity of the conditioning contraction up to 70% MVC and leveled off for greater intensities. This may indicate that potentiation of Ampli SECOND is proportional to the number of motor units activated during the conditioning contraction as motor units are progressively recruited in the quadriceps muscles up to intensities of about 70% MVC . Furthermore, a conditioning MVC as short as 1 s was sufficient to increase Ampli SECOND significantly, suggesting that the mechanisms responsible for this potentiation are strikingly fast.…”

Section: Discussionmentioning

confidence: 96%

New insights into the potentiation of the first and second phases of the M‐wave after voluntary contractions in the quadriceps muscle

Rodriguez‐Falces

Place

2016

Muscle and Nerve

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Section: Discussionmentioning

confidence: 96%

New insights into the potentiation of the first and second phases of the M‐wave after voluntary contractions in the quadriceps muscle

Rodriguez‐Falces

Place

2016

Muscle and Nerve

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“…We were limited to using the sEMG electrodes and distancing used in the study as we required non-ferrous contacts to prevent the OPMs from saturation or contaminate other sensor signals with noise. However, changing the IED from 20 mm to 10 mm causes the median frequency, or the frequency at which the total spectral power is split in half, to change only by roughly 5 Hz within a 500 Hz bandwidth (Rodriguez-Falces et al, 2015). Another study measuring mean frequency, or the average frequency weighted by the spectral power, corroborates these results showing a change of ∼3 Hz at IED of 18 mm compared to 36 mm (Alemu et al, 2003).…”

Section: Discussionmentioning

confidence: 99%

Magnetomyography: A novel modality for non-invasive muscle sensing

Yun,

Gonzalez,

Gerrard

et al. 2024

Preprint

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The measurement of magnetic fields generated by skeletal muscle activity, called magnetomyography (MMG), has seen renewed interest from the academic community in recent years. Although studies have demonstrated complex models of MMG and experiments classifying between different movements using MMG, there has yet to be time frequency analysis of MMG as well as concurrent recordings of MMG and its electrical counterpart, surface electromyography (sEMG). Here, we aim to better understand MMG in the context of sEMG by simultaneously recording both modalities during various muscle contraction tasks. We found that, similar to sEMG, MMG shows highly linearly correlated power to the degree of muscle contraction, has a unimodal distribution in spectral power, and can detect changes in muscle fatigue via changes in the spectral distribution. One main difference we found was that MMG typically has more high frequency content compared to sEMG, even when accounting for the filtering induced by the size of the sEMG electrodes. We additionally demonstrate empirically the decrease in MMG power due to distance from the arm and show MMG decreases slower than the inverse square law and can be measured up to 50 mm from the surface of the skin. Finally, we were able to capture MMG with non-OPM sensors showing that sensor technology has made great strides towards enabling MMG applications.

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“…The 30 mm interelectrode distance of the proposed EMG system is generally recommended for bipolar surface EMG [27] since it is larger than that of the Trigno sensor. Theoretical, experimental, and simulation investigations have established that the frequency content of a surface EMG signal decreases with increasing inter-electrode distance because of increased detection volume and reduced spatial filtering of the signal [40], [41], [42]. Furthermore, the commercial EMG system has a larger gain (100 vs. 20 dB) and higher quality A-D converter (16 vs. 12 bits), thereby enhancing signal amplification when EMG activity is relatively low.…”

Section: Discussionmentioning

confidence: 99%

Development of Consumer-Friendly Surface Electromyography System for Muscle Fatigue Detection

Kinugasa

Kubo

2023

IEEE Access

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In this study, a low-cost, wireless, and smartphone-controlled surface electromyography (EMG) system was designed and developed for consumers, and the recorded EMG signals were evaluated against a reference laboratory EMG system during fatiguing contraction. Using commercially available inexpensive components, the components of the EMG signal-acquisition circuit were optimized, and a microcontroller was combined with a Bluetooth module. The EMG signals were then converted from analog to digital signals and transmitted to a smartphone via Bluetooth serial communication. EMG signals from the biceps brachii of six healthy subjects were recorded separately using two EMG systems during sustained submaximal isometric contraction until the endurance limit was reached. The root mean square (RMS) and mean power frequency (MPF) of the EMG signals were calculated. The results indicated that both the EMG systems exhibited a characteristic progressive increase in EMG RMS and decrease in EMG MPF during sustained isometric contraction. The relative agreement between the two EMG systems, assessed by intraclass correlation coefficient (ICC), was excellent for EMG RMS (ICC 0.933, P < 0.001) and moderate for EMG MPF (ICC 0.662, P = 0.049). The cost of the sensor components in the hardware was ¥8,486 per unit. The proposed consumer-friendly EMG system, which is inexpensive and highly versatile in terms of wireless and smartphone accessibility, can detect the phenomenon associated with increased amplitude and low-frequency components during muscle fatigue contraction with a magnitude similar to that of the commercially available laboratory EMG systems.

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Influence of inter-electrode distance, contraction type, and muscle on the relationship between the sEMG power spectrum and contraction force

Abstract: In the VL and VM muscles, it is highly unlikely that a particular inter-electrode distance or contraction modality could have prevented the observation of the full extent of the increase in spectral frequencies with increasing force level.

Cited by 13 publications

References 48 publications

New insights into the potentiation of the first and second phases of the M‐wave after voluntary contractions in the quadriceps muscle

New insights into the potentiation of the first and second phases of the M‐wave after voluntary contractions in the quadriceps muscle

Magnetomyography: A novel modality for non-invasive muscle sensing

Development of Consumer-Friendly Surface Electromyography System for Muscle Fatigue Detection

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