Determination of Fatigue Following Maximal Loaded Treadmill Exercise by Using Wavelet Packet Transform Analysis and MLPNN from MMG-EMG Data Combinations

Bilgin, Gürkan; Hindistan, I. Ethem; Özkaya, Yaşar Gül; Köklükaya, Etem; Polat, Övünç; Çolak, Ömer Halil

doi:10.1007/s10916-015-0304-5

Cited by 12 publications

(6 citation statements)

References 38 publications

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“… Martinez-Aguilar and Gutierrez (2019) analyzed cortico-muscular and cortico-cardiac coupling to study the development of muscular fatigue by electromyography (EMG), electrocardiography (ECG), and electroencephalography (EEG). Bilgin et al (2015) presented a muscle fatigue detection method based on the frequency spectrum of EMG and mechanomyogram (MMG). Scano et al (2020) studied the combined use of NIRS and sEMG in muscle fatigue assessment.…”

Section: Surface Electromyography Based Multisource Information Fusio...mentioning

confidence: 99%

Application of Surface Electromyography in Exercise Fatigue: A Review

Sun

Liu

Lin

et al. 2022

Front. Syst. Neurosci.

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Exercise fatigue is a common physiological phenomenon in human activities. The occurrence of exercise fatigue can reduce human power output and exercise performance, and increased the risk of sports injuries. As physiological signals that are closely related to human activities, surface electromyography (sEMG) signals have been widely used in exercise fatigue assessment. Great advances have been made in the measurement and interpretation of electromyographic signals recorded on surfaces. It is a practical way to assess exercise fatigue with the use of electromyographic features. With the development of machine learning, the application of sEMG signals in human evaluation has been developed. In this article, we focused on sEMG signal processing, feature extraction, and classification in exercise fatigue. sEMG based multisource information fusion for exercise fatigue was also introduced. Finally, the development trend of exercise fatigue detection is prospected.

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Section: Surface Electromyography Based Multisource Information Fusio...mentioning

confidence: 99%

Application of Surface Electromyography in Exercise Fatigue: A Review

Sun

Liu

Lin

et al. 2022

Front. Syst. Neurosci.

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“…It has a higher signal-to-noise ratio (SNR) than surface EMG and it can monitor the activity of even deeper muscles. This technique is, therefore, often utilized for evaluation of the muscular fatigue [97][98][99][100][101] or of the mechanical delay of muscle contraction [102,103]. The combination of MMG and EMG was already investigated for rehabilitation, control of prostheses, and in robotics.…”

Section: Muscle Activitymentioning

confidence: 99%

Application of Modern Multi-Sensor Holter in Diagnosis and Treatment

Vavrinský

Subjak

Donoval

et al. 2020

Sensors

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Modern Holter devices are very trendy tools used in medicine, research, or sport. They monitor a variety of human physiological or pathophysiological signals. Nowadays, Holter devices have been developing very fast. New innovative products come to the market every day. They have become smaller, smarter, cheaper, have ultra-low power consumption, do not limit everyday life, and allow comfortable measurements of humans to be accomplished in a familiar and natural environment, without extreme fear from doctors. People can be informed about their health and 24/7 monitoring can sometimes easily detect specific diseases, which are normally passed during routine ambulance operation. However, there is a problem with the reliability, quality, and quantity of the collected data. In normal life, there may be a loss of signal recording, abnormal growth of artifacts, etc. At this point, there is a need for multiple sensors capturing single variables in parallel by different sensing methods to complement these methods and diminish the level of artifacts. We can also sense multiple different signals that are complementary and give us a coherent picture. In this article, we describe actual interesting multi-sensor principles on the grounds of our own long-year experiences and many experiments.

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“…Before the test participants were given a two-minute period for warm-up. The Bruce test is a widely used protocol to determine aerobic power, and the stages, the speed of the treadmill and the slope are gradually increased every three minutes until the individual becomes tired [3,4,42]. The test was continued until the participant was observed to be unable to continue, or the participant declared "OK" [19,25,35].…”

Section: Aerobic Power Measurementmentioning

confidence: 99%

Effects of sprint interval training on sloping surfaces on aerobic and anaerobic power

Hindistan

Özdoğan

Bilgin

et al. 2020

Biomedical Human Kinetics

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SummaryStudy aim: Several sprint interval training applications with different slope angles in the literature mostly focused on sprint running time and kinematic and dynamic properties of running. There is a lack of comparative studies investigating aerobic and anaerobic power. Therefore, this study aimed to examine the effects of sprint interval training on sloping surfaces on anaerobic and aerobic power.Material and methods: A total of 34 male recreationally active men aged 20.26 ± 1.68 years and having a BMI of 21.77 ± 1.74 were assigned to one of the five groups as control (CON), uphill training (EXP1), downhill training (EXP2), uphill + downhill training (EXP3) and horizontal running training (EXP4) groups. Gradually increased sprint interval training was performed on horizontal and sloping surfaces with an angle of 4°. The training period continued for three days a week for eight weeks. The initial and the final aerobic power was measured by an oxygen analyser and anaerobic power was calculated from the results of the Margaria-Kalamen staircase test.Results: Following the training programme, an increase in aerobic power was found in all training groups (EXP1 = 20.79%, EXP2 = 14.95%, EXP3 = 26.85%, p < 0.01) and EXP4 = 20.46%) (p < 0.05) in comparison with the CON group (0.12%), but there were no differences among the training groups. However, significant increases in anaerobic power were found in uphill training (4.91%) and uphill + downhill training (8.35%) groups (p < 0.05).Conclusion: This study showed that all sprint interval studies on horizontal and sloping surfaces have a positive effect on aerobic power, and uphill and combined training are the most effective methods for the improvement of anaerobic power.

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Determination of Fatigue Following Maximal Loaded Treadmill Exercise by Using Wavelet Packet Transform Analysis and MLPNN from MMG-EMG Data Combinations

Cited by 12 publications

References 38 publications

Application of Surface Electromyography in Exercise Fatigue: A Review

Application of Surface Electromyography in Exercise Fatigue: A Review

Application of Modern Multi-Sensor Holter in Diagnosis and Treatment

Effects of sprint interval training on sloping surfaces on aerobic and anaerobic power

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