ABSTRACT
At present, fatigue state monitoring of upper limb movement generally relies solely on surface electromyographic signal (sEMG) to identify and classify fatigue, resulting in unstable results and certain limitations. This paper introduces the sEMG signal recognition and motion capture technology into the fatigue state monitoring process and proposes a fatigue analysis method combining an improved EMG fatigue threshold algorithm and biomechanical analysis. In this study, the right upper limb load elbow flexion test was used to simultaneously collect the biceps brachii sEMG signal and upper limb motion capture data, and at the same time the Borg Fatigue Subjective and Self-awareness Scale were used to record the fatigue feelings of the subjects. Then, the fatigue analysis method combining the EMG fatigue threshold algorithm and the biomechanical analysis was combined with four single types: mean power frequency (MPF), spectral moments ratio (SMR), fuzzy approximate entropy (fApEn) and Lempel-Ziv complexity (LZC). The test results of the evaluation index fatigue evaluation method were compared. The test results show that the method in this paper has a recognition rate of 98.6% for the overall fatigue state and 97%, 100%, and 99% for the three states of ease, transition and fatigue, which are more advantageous than other methods. The research results of this paper prove that the method in this paper can effectively prevent secondary injury caused by overtraining during upper limb exercises, and is of great significance for fatigue monitoring.
Subject(s)
Humans , Electromyography/methods , Fatigue , Muscle Fatigue , Muscle, Skeletal , Upper ExtremityABSTRACT
Inflammatory bowel diseases ( IBD) includes ulcerative colitis ( UC) and Crohn′s disease (CD).Recently, the incidence of IBD in China has been growing rapidly and caused a major public health burden.Although several traditional diagnostic methods can directly evaluate intestinal inflammation in patients with IBD , there are still limitations in these methods such as invasive or unreliable results because of clinical and pathologists′clinical experience .Therefore, there is urgent need for non-invasive, objective and reliable tool for IBD diagnosis or monitoring .With the development of technology and understanding of the pathogenesis of IBD , much progress has been achieved to discover novel IBD biomarkers in genetic , microecological , metabolomics and gut barrier field .In this review , we will demonstrate current updates of IBD related biomarkers and showed future prospective of these biomarkers .