Development of Muscle Fatigue Scale-Based Biofeedback Device for Improving Muscle Endurance

Abstract Background Aging is associated with decline in mitochondrial function and reduced exercise capacity. Urolithin A (UA) is a natural gut metabolite shown to stimulate mitophagy and improve muscle function in aged animals, and induce mitochondrial gene expression in elderly. Purpose Investigate if oral administration of UA improved walking distance (6MWT), muscle fatigue resistance in hand (FDI) and leg (TA) muscles, and had an impact on plasma biomarkers. Method: We conducted a randomized, double-blind, placebo-controlled study (NCT03283462) in elderly subjects (65-90 yrs.) supplemented daily with 1000mg UA or placebo for 4 months. 128 subjects were screened and 66 randomized. 6MWT and ATPmax via MRS were assessed at baseline and at 4 months. Muscle fatigue tests and plasma analysis of biomarkers were assessed at baseline, 2 and 4 months. Results UA significantly improved muscle endurance (i.e., change in number of muscle contractions from baseline) in two different muscles (hand: PL 11.6 ±147.5, UA 95.3 ± 115.5; and leg: PL 5.7± 127.1, UA 41.4 ±65.5) compared with placebo at 2-months. Plasma levels of several acylcarnitines, ceramides and C-reactive-protein were decreased by UA at the end-of study. 6MWT distance (PL 42.5 ± 73.3 m, UA 60.8± 67.2 m) and ATPmax increased in both groups from baseline (PL 13.7±31.4%, UA19.4± 56.8%) with UA supplemented group exhibiting greater improvements, although these were not statistically different between groups. Conclusion UA supplementation improved muscle endurance, metabolic and inflammatory plasma biomarkers after 2-months, suggesting that UA can have a positive impact on muscle and cellular health in the elderly.

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Development of Biofeedback Device for Muscle Fatigue using Electromyogram

The Proceedings of Mechanical Engineering Congress Japan ◽

10.1299/jsmemecj.2020.j16102 ◽

2020 ◽

Vol 2020 (0) ◽

pp. J16102

Author(s):

Tadaaki IKEHARA ◽

Kazuyuki KOJIMA

Keyword(s):

Muscle Fatigue ◽

Biofeedback Device

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Development of Biofeedback Device Using Optimal EMG Frequency Band for Prevention Muscle Fatigue

2020 IEEE 9th Global Conference on Consumer Electronics (GCCE) ◽

10.1109/gcce50665.2020.9291801 ◽

2020 ◽

Author(s):

Tadaaki Ikehara ◽

Kazuyuki Kojima

Keyword(s):

Muscle Fatigue ◽

Frequency Band ◽

Biofeedback Device

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Increased fatigue resistance of respiratory muscles during exercise after respiratory muscle endurance training

AJP Regulatory Integrative and Comparative Physiology ◽

10.1152/ajpregu.00409.2006 ◽

2007 ◽

Vol 292 (3) ◽

pp. R1246-R1253 ◽

Cited By ~ 82

Author(s):

Samuel Verges ◽

Oliver Lenherr ◽

Andrea C. Haner ◽

Christian Schulz ◽

Christina M. Spengler

Keyword(s):

Muscle Fatigue ◽

Endurance Training ◽

Exercise Performance ◽

Respiratory Muscle ◽

Magnetic Stimulation ◽

Abdominal Muscle ◽

Muscle Endurance ◽

Respiratory Muscle Fatigue ◽

Before And After ◽

Respiratory Muscle Endurance

Respiratory muscle fatigue develops during exhaustive exercise and can limit exercise performance. Respiratory muscle training, in turn, can increase exercise performance. We investigated whether respiratory muscle endurance training (RMT) reduces exercise-induced inspiratory and expiratory muscle fatigue. Twenty-one healthy, male volunteers performed twenty 30-min sessions of either normocapnic hyperpnoea ( n = 13) or sham training (CON, n = 8) over 4–5 wk. Before and after training, subjects performed a constant-load cycling test at 85% maximal power output to exhaustion (PREEXH, POSTEXH). A further posttraining test was stopped at the pretraining duration (POSTISO) i.e., isotime. Before and after cycling, transdiaphragmatic pressure was measured during cervical magnetic stimulation to assess diaphragm contractility, and gastric pressure was measured during thoracic magnetic stimulation to assess abdominal muscle contractility. Overall, RMT did not reduce respiratory muscle fatigue. However, in subjects who developed >10% of diaphragm or abdominal muscle fatigue in PREEXH, fatigue was significantly reduced after RMT in POSTISO (inspiratory: −17 ± 6% vs. −9 ± 10%, P = 0.038, n = 9; abdominal: −19 ± 10% vs. −11 ± 11%, P = 0.038, n = 9), while sham training had no significant effect. Similarly, cycling endurance in POSTEXH did not improve after RMT ( P = 0.071), while a significant improvement was seen in the subgroup with >10% of diaphragm fatigue after PREEXH ( P = 0.017), but not in the sham training group ( P = 0.674). However, changes in cycling endurance did not correlate with changes in respiratory muscle fatigue. In conclusion, RMT decreased the development of respiratory muscle fatigue during intensive exercise, but this change did not seem to improve cycling endurance.

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