ANALYZING THE INFLUENCING FACTORS OF SPORTS FATIGUE BASED ON ALGORITHM

Based on the feature extraction method of the fatigue image signal, a series of changes caused by exercise fatigue are analyzed by the biofeedback technique. SVM algorithm and neural network model are used to identify the fatigue state of motion. Characteristics of electroencephalogram (EEG) and electromyography (EMG) during fatigue.

Results:

When sports fatigue occurred, the composite index of bio-feedback technology shows a decrease in HRV index and increases in HRV time-domain indicators, frequency-domain indicators, and SAa values.

Conclusions:

It has a high degree of systematization. The proposed method is non-invasive and has practical application value. Level of evidence II; Therapeutic studies - investigation of treatment results.

Keywords
Electroencephalography; Electromyography; Muscle fatigue

Category	Male	Female
Age	19.98±0.78	19.75±0.66
Height (m)	1.73±0.06	1.61±0.05
Weight (kg)	65.33±5.82	54.08±5.03
Exercise years	3.76±1.27	3.69±1.36

Level	Speed (km/h)	Slope (%)
1	2.7	10%
2	4.0	12%
3	5.4	14%
4	6.7	15%
5	8.0	18%
6	8.8	20%
7	9.6	22%

State	Waveform category	Men's group	Women's group
Quiet	HRV	6.50±1.06	6.20±1.09
	SDNN (ms)	169.33±35.59	166.69±53.15
	SDSD (ms)	99.10±50.47	110.88±82.39
	SAa (ms)	82.19±33.78	97.03±53.18
	PNN50 (%)	43.38±8.96	45.60±7.79
	LF (ms2)	536.48±210.76	620.08±256.78
	HF (ms2)	520.39±318.54	634.79±518.94
	LF/HF	1.34±1.04	1.66±1.17
Fatigue	HRV	4.53±1.28	4.06±1.10
	SDNN (ms)	188.65±62.20	178.55±63.32
	SDSD (ms)	139.67±73.45	128.03±81.19
	SAa (ms)	110.35±52.06	100.98±52.45
	PNN50 (%)	47.37±12.67	45.78±15.56
	LF (ms2)	765.38±347.38	620.98±180.03
	HF (ms2)	904.47±545.67	773.39±538.19
	LF/HF	1.41±1.09	1.65±1.46
Recovery	HRV	7.01±2.80	6.07±2.11
	SDNN (ms)	211.29±67.38	192.35±59.46
	SDSD (ms)	150.35±72.31	133.45±81.79
	SAa (ms)	133.64±51.78	115.78±54.39
	PNN50 (%)	56.89±9.08	51.48±7.94
	LF (ms2)	834.57±300.04	747.18±287.32
	HF (ms2)	929.78±508.33	855.39±645.37
	LF/HF	1.44±1.17	1.67±1.38

State	Waveform category	Men's group	Women's group
Quiet	IEMG1	0.75±0.58	0.66±0.71
	RMS1	1.19±1.13	1.03±0.88
	MPF1	91.98±21.32	106.58±10.63
	MF1	52.34±7.28	53.28±5.05
	IEMG2	0.84±0.42	0.7±0.69
	RMS2	1.39±0.55	1.09±0.85
	MPF2	91.77±16.35	96.34±13.00
	MF2	48.22±4.78	52.25±8.34
Fatigue	IEMG1	2.11±1.78	2.06±1.70
	RMS1	2.89±1.99	2.73±1.85
	MPF1	76.39±8.20	73.19±10.78
	MF1	43.70±8.31	44.94±5.06
	IEMG2	3.11±2.48	2.07±0.81
	RMS2	3.89±2.79	2.66±0.93
	MPF2	79.03±8.35	77.19±8.08
	MF2	43.90±11.01	45.50±7.75
Recovery	IEMG1	1.65±1.06	1.29±0.77
	RMS1	2.33±1.47	2.05±1.18
	MPF1	100.90±10.02	97.98±9.02
	MF1	51.13±8.35	50.04±6.83
	IEMG2	2.01±1.19	1.44±0.52
	RMS2	2.82±1.44	2.12±0.68
	MPF2	92.35±13.69	96.03±10.88
	MF2	54.27±5.98	45.98±7.56

Sociedade Brasileira de Medicina do Exercício e do Esporte Av. Brigadeiro Luís Antônio, 278, 6º and., 01318-901 São Paulo SP, Tel.: +55 11 3106-7544, Fax: +55 11 3106-8611 - São Paulo - SP - Brazil
E-mail: atharbme@uol.com.br

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[1] Correspondence: Cheng Wang, Northwestern Polytechnical University, Xi’an, China. wangchenghn@yeah.net