Verification of the functionality of device for monitoring human tremor

Szumilas, Mateusz; Lewenstein, K.; Ślubowska, E.

doi:10.1016/j.bbe.2015.02.002

Cited by 5 publications

(2 citation statements)

References 30 publications

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“…The power spectrum of MMG was found below 100 Hz [25]. The MMG data were obtained by filtering acceleration data using a fourth-order Butterworth band-pass filter of 5-100 Hz to eliminate the adverse artefacts from electrical cabling and body movement [26]. The torque data were filtered using a 4th-order Butterworth low-pass filter with a cutoff frequency of 5 Hz [27].…”

Section: Data Acquisition and Signal Processingmentioning

confidence: 99%

Effect of Forearm Postures and Elbow Joint Angles on Elbow Flexion Torque and Mechanomyography in Neuromuscular Electrical Stimulation of the Biceps Brachii

Uwamahoro,

Sundaraj,

Feroz

2023

Sensors

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Neuromuscular electrical stimulation plays a pivotal role in rehabilitating muscle function among individuals with neurological impairment. However, there remains uncertainty regarding whether the muscle’s response to electrical excitation is affected by forearm posture, joint angle, or a combination of both factors. This study aimed to investigate the effects of forearm postures and elbow joint angles on the muscle torque and MMG signals. Measurements of the torque around the elbow and MMG of the biceps brachii (BB) muscle were conducted in 36 healthy subjects (age, 22.24 ± 2.94 years; height, 172 ± 0.5 cm; and weight, 67.01 ± 7.22 kg) using an in-house elbow flexion testbed and neuromuscular electrical stimulation (NMES) of the BB muscle. The BB muscle was stimulated while the forearm was positioned in the neutral, pronation, or supination positions. The elbow was flexed at angles of 10°, 30°, 60°, and 90°. The study analyzed the impact of the forearm posture(s) and elbow joint angle(s) on the root-mean-square value of the torque (TQRMS). Subsequently, various MMG parameters, such as the root-mean-square value (MMGRMS), the mean power frequency (MMGMPF), and the median frequency (MMGMDF), were analyzed along the longitudinal, lateral, and transverse axes of the BB muscle fibers. The test–retest interclass correlation coefficient (ICC21) for the torque and MMG ranged from 0.522 to 0.828. Repeated-measure ANOVAs showed that the forearm posture and elbow flexion angle significantly influenced the TQRMS (p < 0.05). Similarly, the MMGRMS, MMGMPF, and MMGMDF showed significant differences among all the postures and angles (p < 0.05). However, the combined main effect of the forearm posture and elbow joint angle was insignificant along the longitudinal axis (p > 0.05). The study also found that the MMGRMS and TQRMS increased with increases in the joint angle from 10° to 60° and decreased at greater angles. However, during this investigation, the MMGMPF and MMGMDF exhibited a consistent decrease in response to increases in the joint angle for the lateral and transverse axes of the BB muscle. These findings suggest that the muscle contraction evoked by NMES may be influenced by the interplay between actin and myosin filaments, which are responsible for muscle contraction and are, in turn, influenced by the muscle length. Because restoring the function of limbs is a common goal in rehabilitation services, the use of MMG in the development of methods that may enable the real-time tracking of exact muscle dimensional changes and activation levels is imperative.

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Section: Data Acquisition and Signal Processingmentioning

confidence: 99%

Effect of Forearm Postures and Elbow Joint Angles on Elbow Flexion Torque and Mechanomyography in Neuromuscular Electrical Stimulation of the Biceps Brachii

Uwamahoro,

Sundaraj,

Feroz

2023

Sensors

View full text Add to dashboard Cite

show abstract

“…The raw MMG signals were acquired at a sampling rate of 2 kHz and digitally band-pass filtered , to supress the influence of artifacts associated with tremor and body movement [38,39] , for offline analysis. The peak torque (PT) obtained from a dynamometer was calculated for each NMES-evoked contraction level/stimulation intensity.…”

Section: Signal Processingmentioning

confidence: 99%