Stretchable, Self-Healing, and Skin-Mounted Active Sensor for Multipoint Muscle Function Assessment

ACS Nano ◽  
2021 ◽  
Author(s):  
Chan Wang ◽  
Xuecheng Qu ◽  
Qiang Zheng ◽  
Ying Liu ◽  
Puchuan Tan ◽  
...  
1981 ◽  
Vol 61 (12) ◽  
pp. 1711-1723 ◽  
Author(s):  
Thomas H Shaffer ◽  
Marla R Wolfson ◽  
Vinod K Bhutani

2000 ◽  
Vol 89 (7) ◽  
pp. 753-761 ◽  
Author(s):  
MA Jones ◽  
G. Stratton

2009 ◽  
Vol 106 (2) ◽  
pp. 701-710 ◽  
Author(s):  
Samuel Verges ◽  
Nicola A. Maffiuletti ◽  
Hugo Kerherve ◽  
Nicolas Decorte ◽  
Bernard Wuyam ◽  
...  

This study aimed to 1) compare electrical and magnetic stimulations for quadriceps muscle function assessment, and 2) ascertain whether the ratios of the second twitch elicited by supramaximal electrical and magnetic femoral nerve stimulation at 10 and 100 Hz (T210:100) and the total twitch force elicited by the same types of stimulations (Fpaired10:100) are equivalent to the standard low- to high-frequency force ratio associated with submaximal electrical tetanic stimulations (Ftet10:100). Quadriceps force and vastus lateralis EMG were recorded at rest ( n = 21 subjects), immediately after, and 30 min after a 30-min downhill run ( n = 10) when 1) supramaximal electrical nerve stimulation (ENS), 2) magnetic nerve stimulation (MNS) and 3) submaximal electrical muscle stimulation (EMS) were delivered in random order at 1 (single stimulation), 10, and 100 Hz (paired stimulations). Ten- and 100-Hz 500-ms tetani were also evoked with EMS to determine Ftet10:100. Before exercise, contractile properties with single and paired stimulations were similar for ENS and MNS (all intraclass correlation coefficients k > 0.90), but smaller for EMS ( P < 0.001). M-wave characteristics were also similar for ENS and MNS (all k > 0.90). After exercise, changes in all parameters did not differ between methods. With fatigue, the changes in Ftet10:100 were inconsistently correlated with the changes in T210:100 ( r2 = 0.24–0.73, P = 0.002–0.15) but better correlated with the changes in Fpaired10:100 (immediately after exercise: r2 = 0.80–0.83, P < 0.001; 30 min after exercise: r2 = 0.46–0.82, P = 0.001–0.03). We conclude that ENS and MNS provide similar quadriceps muscle function assessment, while Fpaired10:100 is a better index than T210:100 of low- to high-frequency fatigue of the quadriceps in vivo.


PLoS ONE ◽  
2013 ◽  
Vol 8 (3) ◽  
pp. e58902 ◽  
Author(s):  
Md. Anamul Islam ◽  
Kenneth Sundaraj ◽  
R. Badlishah Ahmad ◽  
Nizam Uddin Ahamed

2021 ◽  
Author(s):  
Yasuaki Kusumoto ◽  
Hayato Goto ◽  
Kouhei Chiba ◽  
Sakiko Onishi ◽  
Junko Tsuchiya

Abstract Background Tensiomyography (TMG) is a non-invasive instrument for measuring mechanical muscle contraction characteristics, and measures the maximum displacement of the muscle belly in the vertical direction and the time needed to achieve this from electrical stimulation. There have only been few reports of TMG on general healthy adults. A systematic review on TMG reported a low proportion of female participants with a small sample size. Therefore, it is unclear whether there is a difference in TMG parameters by sex and between the dominant and non-dominant feet. Furthermore, the relationship between the TMG parameters and the evaluations commonly used in clinical practice has not been clarified. This study aimed to clarify the characteristics of muscle contraction of the rectus femoris using tensiomyography by sex among healthy adolescents and its relationship with muscle function evaluation, such as lower limb muscle mass and muscle strength. The subjects included 91 healthy university students. The measurement items included TMG, lower limb muscle mass, rectus femoris thickness, isometric knee joint extension torque, and thigh circumference. Results There was a main effect on sex in all parameters (ρ ≤ 0.05). In terms of TMG parameters, maximum displacement (Dm) in the non-dominant foot was significantly lower in women. The correlation between TMG parameters for males and females and lower limb muscle mass, muscle thickness, joint torque, and thigh circumference had a significant correlation with some TMG parameters and lower limb muscle mass (ρ ≤ 0.05). The absolute value of the correlation coefficient was overall low with 0.27 ~0.45. Conclusion In healthy adolescents, there was a difference by sex in TMG parameters and a weak correlation between TMG parameters and the lower limb muscle mass. TMG parameter evaluation may indicate a different function compared with the traditional muscle function assessment used in clinical practice. The TMG parameter is considered as a unique evaluation method for neuromuscular function assessment.


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