Sampling rate effects on surface EMG timing and amplitude measures

Ives, Jeffrey C.; Wigglesworth, J. K.

doi:10.1016/s0268-0033(03)00089-5

Cited by 80 publications

(45 citation statements)

References 13 publications

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“…This would present a problem if we were interested in analyzing the spectral distribution of the EMG signals, but since we are only interested in the smoothed moving average of the signal, we rely on results showing that smoothed surface EMG signals sampled well below the Nyquist limit are almost identical to those sampled at or above the Nyquist sampling rate [38]. Another reason that the undersampling does not leave us with unusable data is that the signal we are interested in (the smooth outline that results from the moving average) is time domain encoded rather than frequency domain encoded.…”

Section: Data Preprocessingmentioning

confidence: 99%

Physiological evidence of interpersonal dynamics in a cooperative production task

Mønster

Håkonsson

Eskildsen

et al. 2016

Physiology & Behavior

118

145

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Recent research suggests that shared behavioral dynamics during interpersonal interaction are indicative of subjective and objective outcomes of the interaction, such as feelings of rapport and success of performance. The role of shared physiological dynamics to quantify interpersonal interaction, however, has received comparativley little attention. In the present study, we investigate the coordination dynamics of multiple psychophysiological measures and their utility in capturing emotional dynamics in teams. We use data from an experiment where teams of three people built origami boats together in an assembly-line manner while their heart rate, skin conductance, and facial muscle activity were recorded. Our results show that physiological synchrony of skin conductance measures and eletromyographic measures of the corrugator supercilii develops spontaneously among team members during this cooperative production task. Moreover, high team synchrony is found indicative of team cohesion, while low team synchrony is found indicative of a teams' decision to adopt a new behavior across multiple production sessions. We conclude that team-level measures of synchrony offer new and complementary information compared to measures of individual levels of physiological activity.

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Section: Data Preprocessingmentioning

confidence: 99%

Physiological evidence of interpersonal dynamics in a cooperative production task

Mønster

Håkonsson

Eskildsen

et al. 2016

Physiology & Behavior

118

145

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“…Staude [22] found this method identified signals within a 100 ms window with a 99.9% of accuracy and a mean error of -7.1 ms for time sensitive signals. One standard deviation above the mean baseline magnitude lasting greater than 25 ms criterion had a strong likelihood of committing a Type I error [20,21] while 3 standard deviations cutoff resulted in a Type II error [20,24]. The current study established the time of muscle onset (ONSET) as the time when the signal was two standard deviations above the mean baseline magnitude, lasting 25 ms and with a signal-to-noise ratio of greater than four.…”

Section: Detectionmentioning

confidence: 88%

“…To determine the onset of muscle activity, several methods can be adopted including the single threshold, double threshold, likelihood ratio, Shewhart and mean EMG difference protocols, and Bayesian change-point analysis [3,7,9,[20][21][22][23][24]. The current study selected the Shewhart single threshold criterion method to identified muscle onset.…”

Section: Detectionmentioning

confidence: 99%

A Comparison of EMG Signals from Surface and Fine-Wire Electrodes During Shoulder Abduction

Rajaratnam¹,

Goh²,

Kumar³

2014

International Journal of Physical Medicine & Rehabilitation

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Electromyography quantifies the action of muscles and the data provides an understanding of how coordination occurs during an action. This concurrent comparison research study evaluated electromyography signals from surface and fine-wire electrodes placed simultaneously on selected shoulder muscles. A stand-alone data logger collected electromyography signals from both types of electrodes placed on and within the teres major, supraspinatus, infraspinatus and posterior deltoid muscles as 30 healthy adult subjects performed overhead shoulder abduction. There were poor correlation in the timing of onset and peak magnitudes between fine-wire and surface electrodes reading of teres major, infraspinatus and supraspinatus (onset r=-0.01-0.07; p>0.05, peak r=0.05-0.10; p>0.05). Readings from surface electrodes placed on the posterior deltoid was strongly correlated with its fine-wire temporal values (onset r=0.94, peak r=0.90; p<0.00). Fine-wire electrodes are able to record time sensitive information of how the rotator cuff muscles controls glenohumeral motion during overhead shoulder abduction. The findings are important when deciding to use electromyography to study muscle co-ordination at the shoulder for orthopaedic and neurological rehabilitation.

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“…Hz) to meet the Nyquist rate (two times higher signal frequency) and avoid the so called aliasing [37]. However, it is known that oversampling above this critical Nyquist rate does not significantly improve the signal quality [38], but will likely lead to higher cost and size of the sensor.…”

Section: Strengths and Limitationsmentioning

confidence: 99%

Wireless Surface Electromyography and Skin Temperature Sensors for Biofeedback Treatment of Headache: Validation Study with Stationary Control Equipment (Preprint)

Stubberud¹,

Omland²,

Tronvik³

et al. 2017

Preprint

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Sampling rate effects on surface EMG timing and amplitude measures

Cited by 80 publications

References 13 publications

Physiological evidence of interpersonal dynamics in a cooperative production task

Physiological evidence of interpersonal dynamics in a cooperative production task

A Comparison of EMG Signals from Surface and Fine-Wire Electrodes During Shoulder Abduction

Wireless Surface Electromyography and Skin Temperature Sensors for Biofeedback Treatment of Headache: Validation Study with Stationary Control Equipment (Preprint)

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