Objectives: Deep learning models such as convolutional neural networks (CNNs) have been
applied successfully to medical imaging, but biomedical signal analysis has yet to fully …

Human computer interaction plays an increasingly important role in our life. People need
more intelligent, concise and efficient human-computer interaction. It is of great significance …

Background and objective Surface electromyography (sEMG) based muscle fatigue
research is widely preferred in sports science and occupational/rehabilitation studies due to …

In this paper, we utilize the electrocardiogram (ECG) as a primary biometric modality in
human identification. The design steps of the proposed approach are the following. First, we …

The analysis of human muscle fatigue is of great significance to human physiological
activities. Surface electromyography (sEMG) is the widely used technique to analyze muscle …

In this study, the dynamic contractions and the associated fatigue condition in biceps brachii
muscle are analysed using Synchrosqueezed Wavelet Transform (SST) and singular value …

Ultrasound based methods can assess muscle fatigue by penetrating deep muscles and are
not susceptible to electrical noise, but traditional ultrasound probes have bulky size that …

Electroencephalogram (EEG) and electromyogram (EMG) signals during motion control
reflect the interaction between the cortex and muscle. Therefore, dynamic information …

In this study, an attempt has been made to differentiate the muscle nonfatigue and fatigue
conditions using geometric features of surface Electromyography (sEMG) signals. For this …

颈肌疲劳是导致颈椎病的主要原因之一. 为了有效预测和缓解颈肌疲劳, 结合生物力学理论分析
了表面肌电信号(SEMG) 对颈部肌肉疲劳状态的反映效果. 选取身体健康, 年龄在21~ 33 岁的8 …