Research Article

[Retracted] Intelligent Scanning Detection System of Muscle Exercise Fatigue Based on Surface Electromyography

Table 1

Fatigue characteristic value and its change rate of each subject (before and after fatigue).

SubjectAverage power frequency/MPFFirst parameter of AR model/ARCIMedian frequency/MF
Before fatigue/HzAfter fatigue/HzChange rate/%Before fatigueAfter fatigueChange rate/%Before fatigue/HzAfter fatigue/HzChange rate/%

1209.33149.3026.86-2.25-3.0937.39132.95104.1521.66
2171.83128.6325.21-2.12-2.7534.95123.1996.2821.85
3199.56143.2225.14-2.41-3.1729.77126.82100.4820.77
4161.30125.4428.23-1.89-2.5031.74122.6190.6926.03
5190.10137.6322.23-2.18-2.9232.18128.78101.2821.36
6193.21148.5727.60-2.42-3.3033.92145.59109.4724.81
7148.49112.3623.10-2.26-3.0536.1496.0976.7420.13
8190.69137.9624.33-2.72-3.4435.12126.3899.2621.46
9174.80130.7327.65-2.00-2.7136.47128.0897.3823.97
10207.28152.4726.44-2.09-2.8435.66165.79122.7625.95