An investigation of fatigue phenomenon in the upper limb muscle due to short duration pulses in an FES system

Naeem, Jannatul; Azman, Amelia Wong; Khan, Sheroz; Mustafah, Yasir Mohd

doi:10.1088/1757-899x/53/1/012067

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…However, muscle fatigue is an obvious defect of the mode. It will affect the training duration which could delay patients’ recovery rate, and muscles will get fatigue at a different rate as the frequency increases ( Naeem et al, 2013 ).…”

Section: Discussionmentioning

confidence: 99%

A P300 Brain-Computer Interface Paradigm Based on Electric and Vibration Simple Command Tactile Stimulation

Chu

Tian

Han

et al. 2021

Front. Hum. Neurosci.

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This paper proposed a novel tactile-stimuli P300 paradigm for Brain-Computer Interface (BCI), which potentially targeted at people with less learning ability or difficulty in maintaining attention. The new paradigm using only two types of stimuli was designed, and different targets were distinguished by frequency and spatial information. The classification algorithm was developed by introducing filters for frequency bands selection and conducting optimization with common spatial pattern (CSP) on the tactile evoked EEG signals. It features a combination of spatial and frequency information, with the spatial information distinguishing the sites of stimuli and frequency information identifying target stimuli and disturbances. We investigated both electrical stimuli and vibration stimuli, in which only one target site was stimulated in each block. The results demonstrated an average accuracy of 94.88% for electrical stimuli and 95.21% for vibration stimuli, respectively.

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Section: Discussionmentioning

confidence: 99%

A P300 Brain-Computer Interface Paradigm Based on Electric and Vibration Simple Command Tactile Stimulation

Chu

Tian

Han

et al. 2021

Front. Hum. Neurosci.

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“…The stimulation frequency mainly controls twitching of the muscle. As the stimulation frequency increases, the stimulated muscle will get fatigue fasters which inadvertently limit the muscle training duration [14]. Therefore, in [11] the stimulation frequency had been reduced to decrease fatigue of the activated muscle fatigue.…”

Section: Introductionmentioning

confidence: 99%

Analytical study of flexible stimulation waveforms in muscle fatigue reduction

Noorsal

Yahaya

Hussain

et al. 2020

IJECE

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This paper presents the analytical study of flexible stimulation waveforms in muscle fatigue reduction for functional electrical stimulator (FES)-assisted hemiplegic muscle activities. The major challenge of muscle contraction induced by FES is early muscle fatigue which greatly limits activities such as FES-assisted standing and walking. The fixed stimulation pattern applied on a same motor unit has resulted the motor unit to be overworked and fatigue easily. Therefore, in this work, the stimulus parameters, which include the pulse width duration and the frequency were varied to create a few flexible stimulation waveforms using MATLAB/Simulink. The pulse width duration was modulated from 100µs -500µs to generate five types of flexible stimulation waveforms such as Rectangular, Trapezoidal, Ramp Up, Ramp Down and Triangular. Concurrently, a few ranges of stimulus frequency were also used, which include 20Hz, 30Hz and 50Hz. The generated flexible stimulation waveforms were applied onto a humanoid muscle model to investigate and analyse the muscle output response and early muscle fatigue reduction. From the conducted simulation results and analyses, it was observed that flexible stimulation waveforms such as Triangular, Ramp Up and Ramp Down could reduce early muscle fatigue phenomenon by having lower average of negative slope, in the range of 0.012 to 0.013 for the muscle fitness. In contrast, the Rectangular and Trapezoidal shapes were found to have higher negative slope of muscle fitness in the range of 0.028 to 0.031. The Ramp Down shape was found to have the lowest average of negative slope (0.012) while Rectangular was found to have the highest average of negative slope (0.031). Therefore, it can be concluded that flexible stimulation waveforms such Ramp Down, Ramp Up and Triangular shapes could reduce early muscle fatigue phenomenon with Ramp Down shape having the highest muscle fatigue reduction.

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“…One such electrical parameter is the duty cycle, which is the parameter describing ON time in relation to OFF time, or total stimulation time [7,8]. Changing the duty cycle for example, has been shown to produce differential decreases in force over time in biceps brachii [9].The aim of the larger study from which this data set was taken evolved around adapting the work of earlier authors Gentz & Moore [10] in a test subject to look at the differential effects of permuting ON, OFF or ON+OFF time of a 1:3 duty cycle on quadriceps fatigue.…”

Section: Introductionmentioning

confidence: 99%

“All talk no torque”– A novel set of metrics to quantify muscle fatigue through isometric dynamometry in Functional Electrical Stimulation (FES) muscle studies

Taylor

Fornusek

Chazal

et al. 2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. Functional Electrical Stimulation (FES) activates nerves and muscles that have been ravished and rendered paralysed by disease. As such, it is advantageous to study joint torques that arise due to electrical stimulation of muscle, to measure fatigue in an indirect, minimallyinvasive way. Dynamometry is one way in which this can be achieved. In this paper, torque data is presented from an FES experiment on quadriceps, using isometric dynamometry to measure torque. A library of fatigue metrics to quantify these data are put forward. These metrics include; start and end torque peaks, percentage changes in torque over time, and maximum and minimum torque period algorithms (MTPA 1 and 2), and associated torque-time plots. It is illustrated, by example, how this novel library of metrics can model fatigue over time. Furthermore, these methods are critiqued by a qualitative assessment and compared against one another for their utility in modelling fatigue. Linear trendlines with coefficients of correlation (R 2 ) and qualitative descriptions of data are used to achieve this. We find that although arduous, individual peak plots yield the most relevant values upon which fatigue can be assessed. Methods to calculate peaks in data have less of a utility, offset by an order of magnitude of ~10 1 in comparison with theoretically expected peak numbers. In light of this, we suggest that future methods would be well-inclined to investigate optimized form of peak analysis.

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An investigation of fatigue phenomenon in the upper limb muscle due to short duration pulses in an FES system

Cited by 4 publications

References 5 publications

A P300 Brain-Computer Interface Paradigm Based on Electric and Vibration Simple Command Tactile Stimulation

A P300 Brain-Computer Interface Paradigm Based on Electric and Vibration Simple Command Tactile Stimulation

Analytical study of flexible stimulation waveforms in muscle fatigue reduction

“All talk no torque”– A novel set of metrics to quantify muscle fatigue through isometric dynamometry in Functional Electrical Stimulation (FES) muscle studies

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