Identification of periodic bursts in surface EMG: Applications to the erector spinae muscles of sitting violin players

Chokami, Amir Khorrami; Gasparini, Mauro; Merletti, Roberto

doi:10.1016/j.bspc.2020.102369

Cited by 3 publications

(3 citation statements)

References 27 publications

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“…The burst-like patterns observed on the HDsEMG of the ESM were not related to either side or chair type (visual observations). Similar patterns have been studied in sitting violinists ( Khorrami Chokami et al, 2021 ) and should be further investigated.…”

Section: Discussionsupporting

confidence: 60%

High Density Surface Electromyography Activity of the Lumbar Erector Spinae Muscles and Comfort/Discomfort Assessment in Piano Players: Comparison of Two Chairs

et al. 2021

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Introduction: At a professional level, pianists have a high prevalence of playing-related musculoskeletal disorders. This exploratory crossover study was carried out to assess and compare quantitatively [using high density surface electromyography (HDsEMG)], and qualitatively (using musculoskeletal questionnaires) the activity of the lumbar erector spinae muscles (ESM) and the comfort/discomfort in 16 pianists sitting on a standard piano stool (SS) and on an alternative chair (A-chair) with lumbar support and a trunk-thigh angle between 105° and 135°.Materials and Methods: The subjects played for 55 min and HDsEMG was recorded for 20 s every 5 min. For the quantitative assessment of the muscle activity, the spatial mean of the root mean square (RMSROA) and the centroid of the region of activity (ROA) of the ESM were compared between the two chairs. For the qualitative assessment, musculoskeletal questionnaire-based scales were used: General Comfort Rating (GCR); Helander and Zhang’s comfort (HZc) and discomfort (HZd); and Body Part Discomfort (BPD).Results: When using the A-chair, 14 out of 16 pianists (87.5%) showed a significantly lower RMSROA on the left and right side (p < 0.05). The mixed effects model revealed that both chairs (F = 28.21, p < 0.001) and sides (F = 204.01, p < 0.001) contributed to the mean RMSROA variation by subject (Z = 2.64, p = 0.004). GCR comfort indicated that participants found the A-Chair to be “quite comfortable,” and the SS to be “uncomfortable.” GCR discomfort indicated that the SS caused more numbness than the A-Chair (p = 0.05) and indicated the A-Chair to cause more feeling of cramps (p = 0.034). No difference was found on HZc (p = 0.091) or HZd (p = 0.31) between chairs. Female participants (n = 9) reported greater comfort when using the A-Chair than the SS (F = 7.09, p = 0.01) with respect to males. No differences between chairs were indicated by the BPD assessment.Conclusion: It is concluded that using a chair with lumbar support, such as the A-chair, will provide greater comfort, less exertion of the ESM and less discomfort than the standard piano stool.

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Section: Discussionsupporting

confidence: 60%

High Density Surface Electromyography Activity of the Lumbar Erector Spinae Muscles and Comfort/Discomfort Assessment in Piano Players: Comparison of Two Chairs

et al. 2021

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“…The EMG based method was proposed by [26]. The efficacy of this method had been used by [27][28][29] for various purposes. The quantitative comparison of two methods is shown in Table 4 and Fig As evident from Table 4 and…”

Section: B Efficacy Of Automatic Speech Activity Detection System (Ad...mentioning

confidence: 99%

“…[27] used the method for real time onset detection of EMG signals. [28] used the method to identify periodic bursts in EMG. Previous literature shows multiple uses of TKEO activation detection method used for comparison [29].…”

Section: Introductionmentioning

confidence: 99%

A Fusion of EMG and IMU for an Augmentative Speech Detection and Recognition System

Shafiq,

Waris,

Iqbal

et al. 2024

IEEE Access

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Subvocal voice recognition is important in rehabilitation because it allows people with speech issues to communicate in an alternate manner. Capturing and interpreting subtle muscular movements during subvocalization can improve the rehabilitation process, allowing patients to have more autonomy and a higher quality of life. The scarcity of research on subvocal voice recognition, as well as the use of IMU (accelerometer and gyroscope) signals for speech activity detection, are significant challenges. The study focuses on the amalgamation of spectrotemporal feature extraction techniques for classification and IMU data for speech activity detection. The study carries out the classification of an isolated word vocabulary sets of 70 words corresponding to 6 subjects and 96 isolated words for subjects. A feature extraction algorithm was used utilizing Variational Mode Decomposition. The results demonstrated maximum accuracy rates of 98.6% for the 70-word set and 92% for the 96-word set. Automatic speech activity detection (ADSAS) was developed using only IMU data and was independent of the EMG data. The comparison was carried out by using a previously proposed EMG activity detection method based on Teager Kaiser Operator and morphological operations, The IMU based detection technique achieved a lowest error of 0.09 compared to 0.21 for the EMG based detection technique. The results proved that IMU based methods perform better than EMG based methods for detection of speech activity. Statistical analysis was carried out using paired t-test and resulted in a significant difference between the two techniques (p-value<0.05).

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Classification of mild and severe adolescent idiopathic scoliosis (AIS) from healthy subjects via a supervised learning model based on electromyogram and ground reaction force data during gait

Sikidar

Vidyasagar

Gupta

et al. 2022

Biocybernetics and Biomedical Engineering

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Identification of periodic bursts in surface EMG: Applications to the erector spinae muscles of sitting violin players

Cited by 3 publications

References 27 publications

High Density Surface Electromyography Activity of the Lumbar Erector Spinae Muscles and Comfort/Discomfort Assessment in Piano Players: Comparison of Two Chairs

High Density Surface Electromyography Activity of the Lumbar Erector Spinae Muscles and Comfort/Discomfort Assessment in Piano Players: Comparison of Two Chairs

A Fusion of EMG and IMU for an Augmentative Speech Detection and Recognition System

Classification of mild and severe adolescent idiopathic scoliosis (AIS) from healthy subjects via a supervised learning model based on electromyogram and ground reaction force data during gait

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