Development of Electromyography Signal Signature for Forearm Muscle

Elamvazuthi, Irraivan; Zulkifli, Zulika Bt; Ali, Zulfiqar; Khan, M.K.A. Ahamed; Parasuraman, S.; Balaji, M. Sundar Prakash; Chandrasekaran, Muthukumaran

doi:10.1016/j.procs.2015.12.347

Cited by 13 publications

(8 citation statements)

References 10 publications

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“…Electromyography (EMG) is a form of electrodiagnostic testing that measures muscle response or electrical activity in response to a nerve’s stimulation of the muscle [41]. An electrodiagnostic signal examines the electrical currents generated in muscles during their contractions, which are interpreted as neuromuscular activity [42, 43].…”

Section: Methodsmentioning

confidence: 99%

A novel methodology for the synchronous collection and multimodal visualisation of continuous neurocardiovascular and neuromuscular physiological data in adults with long COVID

Feng

Monaghan

Jennings

et al. 2021

Preprint

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Reports suggest that adults with post-COVID-19 syndrome or long COVID may be affected by orthostatic intolerance syndromes, with autonomic nervous system dysfunction as a possible causal factor of neurocardiovascular instability (NCVI). Long COVID can also manifest as prolonged fatigue, which may be linked to neuromuscular function impairment (NMFI). The current clinical assessment for NCVI monitors neurocardiovascular performance upon the application of orthostatic stressors such as an active (i.e. self-induced) stand or a passive (tilt table) standing test. Lower limb muscle contractions may be important in orthostatic recovery via the skeletal muscle pump. In this study, adults with long COVID were assessed with a protocol that, in addition to the standard NCVI tests, incorporated simultaneous lower limb muscle monitoring for NMFI assessment. To accomplish such an investigation, a wide range of continuous non-invasive biomedical technologies were employed, including digital artery photoplethysmography for the extraction of cardiovascular signals, near-infrared spectroscopy for the extraction of regional tissue oxygenation in brain and muscle, and electromyography for assessment of timed muscle contractions in the lower limbs. With the novel technique described and exemplified in this paper, we were able to integrate signals from all instruments used in the assessment in a precisely synchronized fashion. We demonstrate that it is possible to visualize the interactions between all different physiological signals during the combined NCVI/NMFI assessment. Multiple counts of evidence were collected, which can capture the dynamics between skeletal muscle contractions and neurocardiovascular responses. The proposed multimodal data visualization can offer an overview of the functioning of the muscle pump during both supine rest and orthostatic recovery and can conduct comparison studies with signals from multiple participants at any given time in the assessment. This could help researchers and clinicians generate and test hypotheses based on the multimodal inspection of raw data, in long COVID and other clinical cohorts.

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Section: Methodsmentioning

confidence: 99%

A novel methodology for the synchronous collection and multimodal visualisation of continuous neurocardiovascular and neuromuscular physiological data in adults with long COVID

Feng

Monaghan

Jennings

et al. 2021

Preprint

View full text Add to dashboard Cite

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“…Active filters can adjust the sensitivity of the frequency response by simply setting the Quality Factor (Q Factor). Usually, the Q factor is designed to be 0.707 because the signal output will have the best flattening effect [ 15 , 16 , 17 ].…”

Section: Surface Emg Architecturementioning

confidence: 99%

An Ultra-Low Power Surface EMG Sensor for Wearable Biometric and Medical Applications

Ruan

Lee

2021

Biosensors

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In recent years, the surface electromyography (EMG) signal has received a lot of attention. EMG signals are used to analyze muscle activity or to evaluate a patient’s muscle status. However, commercial surface EMG systems are expensive and have high power consumption. Therefore, the purpose of this paper is to implement a surface EMG acquisition system that supports high sampling and ultra-low power consumption measurement. This work analyzes and optimizes each part of the EMG acquisition circuit and combines an MCU with BLE. Regarding the MCU power saving method, the system uses two different frequency MCU clock sources and we proposed a ping-pong buffer as the memory architecture to achieve the best power saving effect. The measured surface EMG signal samples can be forwarded immediately to the host for further processing and additional application. The results show that the average current of the proposed architecture can be reduced by 92.72% compared with commercial devices, and the battery life is 9.057 times longer. In addition, the correlation coefficients were up to 99.5%, which represents a high relative agreement between the commercial and the proposed system.

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“…Prostheses which derive energy from muscles of a user are relatively cheap to construct and repair, but unfortunately, there is a problem of the lack of a possibility of conscious control of movement by the user, which worsens their functionality. Electrically powered prostheses are an interesting option, and one of the methods of operation of such prostheses is the application of an electric signal coming from user muscles, measured by means of an electromyograph (EMG) [1,4]. The application of the EMG signal for control is not limited only to prosthetics.…”

Section: Limb Prosthesesmentioning

confidence: 99%

The use of the EMG signal for the arm model control

2019

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The article presents the design of the control system and prototype of a robot arm controlled by electromyographic (EMG) signals. It includes the characteristics and method of measurement of the EMG signals, the concept of application of the measured signals to control the model of a human hand and the description of the control system. The design of a device including the specification of the used subassemblies was developed. As well as this, the physical object and various options for its application were presented.

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Development of Electromyography Signal Signature for Forearm Muscle

Cited by 13 publications

References 10 publications

A novel methodology for the synchronous collection and multimodal visualisation of continuous neurocardiovascular and neuromuscular physiological data in adults with long COVID

A novel methodology for the synchronous collection and multimodal visualisation of continuous neurocardiovascular and neuromuscular physiological data in adults with long COVID

An Ultra-Low Power Surface EMG Sensor for Wearable Biometric and Medical Applications

The use of the EMG signal for the arm model control

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