Methodology of electromyographic analysis of the trunk muscles during walking in healthy subjects: A literature review

Swinnen, Eva; Baeyens, Jean Pierre; Meeusen, Romain; Kerckhofs, Eric

doi:10.1016/j.jelekin.2011.04.005

Cited by 26 publications

(17 citation statements)

References 71 publications

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“…To determine which articles to include in this study, we considered only those articles that were written in English and that used patient or athlete subjects for the recording of the sEMG signal on the TB. The exclusion criteria were the following: (1) articles that used intramuscular or needle electrode EMG recordings, (2) articles that measured the sEMG of muscles other than TB, (3) articles that addressed the recording of the sEMG signal on the TB of human subjects that were not athletes or patients, and (4) articles that measured the sEMG of non-human subjects.…”

Section: Article Inclusion and Exclusion Criteriamentioning

confidence: 99%

“…(2) Which anatomical locations on the TB have been measured using sEMG electrodes? (3) What are the anatomical locations on the TB that have been used in the literature for the placement of sEMG electrodes?…”

Section: Research Questionsmentioning

confidence: 99%

“…Electromyography (EMG) is a technique that is commonly used to examine the activity of human are several types of biopotential electrodes, electrodes can be divided into two general categories depending on the approaches used to measure the muscle activity: surface electromyography (sEMG) electrodes and intramuscular (iEMG) electrodes [3]. The iEMG electrodes are inserted into muscles to allow the detection of electric potentials close to the muscle fibres, which limits the effect of the volume conductor.…”

Section: Introductionmentioning

confidence: 99%

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Recent Observations in Surface Electromyography Recording of Triceps Brachii Muscle in Patients and Athletes

Ali

Sundaraj

Ahmad

et al. 2014

Applied Bionics and Biomechanics

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Abstract. OBJECTIVE:To observe and analyse the literature on the use of surface electromyography electrodes, including the shape, size, and metal composition of the electrodes used, the interelectrode distance, and the anatomical locations on the muscle at which the electrodes are placed, for the observation of the triceps brachii muscle activity in patients and athletes. METHODS: We searched the ScienceDirect and SpringerLink online databases for articles published in the English language during the last six years (between January 2008 and December 2013). We specifically searched for the keywords "EMG" and "triceps brachii" in the full text of each of the articles. The inclusion criteria were articles on the use of surface electromyography electrodes to observe the activity of the triceps brachii muscle in patients and athletes. RESULTS: In the 23 selected articles, the activities of the triceps brachii muscle in a total of 402 subjects were measured using surface electromyography electrodes: 262 subjects in the studies that focused on the rehabilitation of patients with various disorders, and 140 subjects in the studies that focused on the sports performance of various athletes. To record the surface electromyography activity of the triceps brachii muscle, the electrodes were placed over the muscle belly or the three heads (lateral, long, and medial) of the triceps brachii muscle with diverse interelectrode distances. Seventeen studies used bipolar or triode silver/silver chloride electrodes, one study utilised bipolar gold electrodes, one study applied bipolar polycarbonate electrodes, one study used a linear array of four silver bar electrodes, one study utilised DELSYS parallel bar nickel silver electrodes, and two studies did not clearly mention the composition of the electrodes used. CONCLUSIONS: Bipolar silver/silver chloride circular-shaped electrodes are utilised more frequently than electrodes with a different metal composition and shape. The anatomical locations of the triceps brachii muscle that mainly considered for electrode placement are the lateral, long, and medial heads. A 10-mm electrode size is commonly used to measure the sEMG activity more efficiently. However, we found that an electrode size of up to 40 mm may be used to reliably measure the sEMG activity on the triceps brachii muscle. A 20-mm interelectrode distance is commonly used to measure the sEMG activity using the above mentioned muscle locations and silver/silver chloride electrodes. We also identified others factors that should be taken into account for the use of the sEMG recording technique on the triceps brachii under real-time conditions.

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Section: Article Inclusion and Exclusion Criteriamentioning

confidence: 99%

Section: Research Questionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Recent Observations in Surface Electromyography Recording of Triceps Brachii Muscle in Patients and Athletes

Ali

Sundaraj

Ahmad

et al. 2014

Applied Bionics and Biomechanics

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“…After literature review on the influence of muscular groups involved in back posture [9] [10] [11] [12] [13] [14] [15], the following muscle groups were selected to be monitorized: Erector Spinae (ES), Latissimus Dorsi (LD), Quadratus Lumborum (QL) and Abdominal External Oblique (EO).…”

Section: Assessmentsmentioning

confidence: 99%

sEMG-based detection of poor posture: A feasibility study

Zabaleta

Rodríguez-de-Pablo

Miljković

et al. 2012

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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The cost of the medical treatment of low back pain (LBP) was estimated to be $24 billion in the early 90s. Also, 80% of the LBP is estimated to be due to poor or inappropriate posture. The ultimate goal of the project is to develop a surface electromyography (sEMG)-based device that could be used to prevent and treat LBP by postural re-education or simply for on-the-spot sEMG feedback. In this paper we present the results and conclusions of a feasibility study for sEMG-based poor posture classifier. The results show that a s-EMG based poor posture classifier could be possible. The sensitivity for the best linear classifier model was 72% and the specificity was 78%. The same signal feature returned very different results from one participant to another. This inter-subject variability could be due to different muscular activation patterns during posture correction.

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“…The electrocardiographic (ECG) artifact is another common category of noise that may contaminate surface EMG recording, especially when the EMG signal is recorded from trunk muscles near or over the heart [11]. Trunk muscle EMG is very suitable and often used for investigation of the activity of abdominal and back muscles, their fatigue development, and pathological alterations induced by neural or muscular disorders [22][23]. For example, accurate detection of trunk muscle activity is crucial in studying anticipatory postural adjustment for performing different types of human movement [24].…”

Section: Introductionmentioning

confidence: 99%

A novel technique for muscle onset detection using surface EMG signals without removal of ECG artifacts

Zhou

Zhang

2013

Physiol. Meas.

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Surface electromyogram (EMG) signal from trunk muscles is often contaminated by electrocardiogram (ECG) artifacts. This study presents a novel method for muscle activity onset detection by processing surface EMG against ECG artifacts. The method does not require removal of ECG artifacts from raw surface EMG signals. Instead, it applies the sample entropy (SampEn) analysis to highlight EMG activity and suppress ECG artifacts in the signal complexity domain. A SampEn threshold can then be determined for detection of muscle activity. The performance of the proposed method was examined with different SampEn analysis window lengths, using a series of combinations of “clean” experimental EMG and ECG recordings over a wide range of signal to noise ratios (SNRs) from −10 dB to 10 dB. For all the examined SNRs, the window length of 128 ms yielded the best performance among all the tested lengths. Compared with the conventional amplitude thresholding and integrated profile methods, the SampEn analysis based method achieved significantly better performance, demonstrated as the shortest average latency or error among the three methods (p<0.001 for any of the examined SNRs except 10 dB).

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Methodology of electromyographic analysis of the trunk muscles during walking in healthy subjects: A literature review

Cited by 26 publications

References 71 publications

Recent Observations in Surface Electromyography Recording of Triceps Brachii Muscle in Patients and Athletes

Recent Observations in Surface Electromyography Recording of Triceps Brachii Muscle in Patients and Athletes

sEMG-based detection of poor posture: A feasibility study

A novel technique for muscle onset detection using surface EMG signals without removal of ECG artifacts

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