Elimination of electrocardiogram contamination from electromyogram signals: An evaluation of currently used removal techniques

Drake, Janessa D.M.; Callaghan, Jack P.

doi:10.1016/j.jelekin.2005.07.003

Cited by 324 publications

(191 citation statements)

References 30 publications

Supporting

Mentioning

184

Contrasting

Unclassified

Order By: Relevance

“…With the use of MATLAB software (The MathWorks, Natick, MA), the EMG signals were band-pass filtered at 35-200 Hz, baseline corrected by subtracting the mean of the signal, and full-wave rectified. The high-pass limit was set to minimize cardiac artifact (Drake and Callaghan 2006). The integrated protocol method was then used with an option for manual override to identify EMG activation onset; this method evaluates the point of maximum difference between the integrated signal and an amplitude-normalized integral of the linear envelope and is less susceptible to changes in baseline amplitude or to false onset detection compared with traditional threshold techniques (Allison 2003).…”

Section: Methodsmentioning

confidence: 99%

A history of low back pain associates with altered electromyographic activation patterns in response to perturbations of standing balance

Jacobs¹,

Henry²,

Jones

et al. 2011

Journal of Neurophysiology

View full text Add to dashboard Cite

To characterize more thoroughly the change in muscle activation patterns of people with LBP in response to a perturbation of standing balance, and to gain insight into the influence of early-vs. late-phase postural responses (differentiated by estimates of voluntary reaction times), this study evaluated the intermuscular patterns of electromyographic (EMG) activations from 24 people with and 21 people without a history of chronic, recurrent LBP in response to 12 directions of support surface translations. Twofactor general linear models examined differences between the 2 subject groups and 12 recorded muscles of the trunk and lower leg in the percentage of trials with bursts of EMG activation as well as the amplitudes of integrated EMG activation for each perturbation direction. The subjects with LBP exhibited 1) higher baseline EMG amplitudes of the erector spinae muscles before perturbation onset, 2) fewer early-phase activations at the internal oblique and gastrocnemius muscles, 3) fewer late-phase activations at the erector spinae, internal and external oblique, rectus abdominae, and tibialis anterior muscles, and 4) higher EMG amplitudes of the gastrocnemius muscle following the perturbation. The results indicate that a history of LBP associates with higher baseline muscle activation and that EMG responses are modulated from this activated state, rather than exhibiting acute burst activity from a quiescent state, perhaps to circumvent trunk displacements.

show abstract

Section: Methodsmentioning

confidence: 99%

A history of low back pain associates with altered electromyographic activation patterns in response to perturbations of standing balance

Jacobs¹,

Henry²,

Jones

et al. 2011

Journal of Neurophysiology

View full text Add to dashboard Cite

show abstract

“…version 7.3) were used to process the EMG and motion data separately. To remove ECG artefact the raw EMG signal was Wrst Wltered using a recursive Wfth-order Butterworth high pass Wlter at a cut-oV frequency of 30 Hz (Butler et al 2007b;Drake and Callaghan 2006;Zhou et al 2007). For each muscle site, the root mean square (RMS) amplitude was calculated during the lift phase.…”

Section: Data Processingmentioning

confidence: 99%

Activation amplitude patterns do not change for back muscles but are altered for abdominal muscles between dominant and non-dominant hands during one-handed lifts

2009

View full text Add to dashboard Cite

It is assumed when lifting with the dominant hand that the relationship between contralateral and ipsilateral trunk muscle responses are similar to when lifting with the non-dominant hand. The purpose of this study was to quantify trunk muscle activation amplitude patterns during right- and left-handed lifts. Surface electromyography (EMG) and kinematic variables were recorded from 29 healthy subjects. Minimal trunk and pelvis motion was observed. Three principal patterns accounted for 95% of the variation in the EMG data indicating minimal variation in the pattern. Significant differences in scores captured different recruitment strategies for reach and hand. Selective and differential recruitment of back sites characterized lifts at greater distances from the body, whereas co-activation between internal oblique and back sites characterized lifts closer to the body. While the results showed no handedness effect for back muscles, the external oblique responded differently between right- and left-handed lifts. Specific recruitment strategies were used to account for subtle changes in reach and asymmetrical demands.

show abstract

“…Sensing: Data collection starts at the sensors, where a raw signal is generated that contains an indication of a person's affective state. Relevant signals can include both overt and covert bodily signals, such as facial camera recordings, movements, speech samples, and biosignals (e.g., ElectroCardioGraphy (ECG) [100,167,317,322,375,433,434,493,494,498,513,514,585,632,738] or ElectroMyoGraphy (EMG) [133,134,206,277,446,447,664,665,667]). …”

Section: The Closed Loop Modelmentioning

confidence: 99%

Affective signal processing (ASP) : unraveling the mystery of emotions

Broek¹

View full text Add to dashboard Cite

Elimination of electrocardiogram contamination from electromyogram signals: An evaluation of currently used removal techniques

Cited by 324 publications

References 30 publications

A history of low back pain associates with altered electromyographic activation patterns in response to perturbations of standing balance

A history of low back pain associates with altered electromyographic activation patterns in response to perturbations of standing balance

Activation amplitude patterns do not change for back muscles but are altered for abdominal muscles between dominant and non-dominant hands during one-handed lifts

Affective signal processing (ASP) : unraveling the mystery of emotions

Contact Info

Product

Resources

About