The pace of modern life is accelerating, the pressure of life is gradually increasing, and the long-term accumulation of mental fatigue poses a threat to health. By analyzing physiological signals and parameters, this paper proposes a method that can identify the state of mental fatigue, which helps to maintain a healthy life. The method proposed in this paper is a new recognition method of psychological fatigue state of electrocardiogram signals based on convolutional neural network and long short-term memory. Firstly, the convolution layer of one-dimensional convolutional neural network model is used to extract local features, the key information is extracted through pooling layer, and some redundant data is removed. Then, the extracted features are used as input to the long short-term memory model to further fuse the ECG features. Finally, by integrating the key information through the full connection layer, the accurate recognition of mental fatigue state is successfully realized. The results show that compared with traditional machine learning algorithms, the proposed method significantly improves the accuracy of mental fatigue recognition to 96.3%, which provides a reliable basis for the early warning and evaluation of mental fatigue.
Inflammatory bowel disease (IBD) is characterized by recurrent abdominal pain, diarrhea, and mucopurulent bloody stools as its main clinical manifestations. In recent years, its parenteral manifestations have received increasing attention. Fatigue, as one of the extraintestinal manifestations of IBD, affects the quality of life of patients, and results in considerable distress for patients. The influencing factors of fatigue symptoms in IBD patients include inflammation, psychological comorbidities, sleep disorders, anemia, micronutrient deficiency, changes in microbiota, and metabolomics. The pathogenesis is currently unclear and may be related to disorders in tryptophan metabolism. This article will review the influencing factors and pathogenesis of fatigue symptoms in IBD patients, aiming to provide a basis for the prevention and treatment of IBD fatigue.
The present study was carried out with the surface electromyography signal of subjects during the time when subjects did the exercises of the 6 core stability trainings. We analyzed the different activity level of surface electromyography signal, and finally got various fatigue states of muscles in different exercises. Thirty subjects completed exercises of 6 core stability trainings, which were prone bridge, supine bridge, unilateral bridge (divided into two trainings,i.e. the left and right sides alternatively) and bird-dog (divided into two trainings,i.e. the left and right sides alternatively), respectively. Each exercise was held on for 1 minute and 2 minutes were given to relax between two exercises in this test. We measured both left and right sides of the body’s muscles, which included erector spina, external oblique, rectus abdominis, rectus femoris, biceps femoris, anterior tibial and gastrocnemius muscles. We adopted the frequency domain characteristic value of the surface electromyography signal,i.e. median frequency slope to analyze the muscle fatigue in this study. In the present paper, the results exhibit different fatigue degrees of the above muscles during the time when they did the core stability rehabilitation exercises. It could be concluded that supine bridge and unilateral bridge can cause more fatigue on erector spina muscle, prone bridge caused Gastrocnemius muscle much fatigue and there were statistical significant differences (P<0.05) between prone bridge and other five rehabilitation exercises in the degree of rectus abdominis muscle fatigue. There were no statistical significant differences (P>0.05) between all the left and right sides of the same-named muscles in the median frequency slope during all the exercises of the six core stability trainings,i.e. the degree which the various kinds of rehabilitation exercises effected the left and right side of the same-named muscle had no statistical significant difference (P>0.05). In this research, the conclusion presents quantized guidelines on the effects of core stability trainings on different muscles.
【Abstract】Objective To establish and assess the rat model of postoperative fatigue syndrome (POFS). Methods The rat model of POFS was developed by the partial resection of the liver. The behavioral changes prior and post to operation, the disorder of nutritive intake after operation, stress reaction (pathological changes of mucous membrane in small intestine) and the hepatic albumin gene expression were observed. Results Low body temperature, lower sensitivity and reactivity were found. The serum levels of the iron, total protein, albumin, globulin and so on as the indexes of nutrition obviously dropped. The injury of the mucous membrane resulted from the stress reaction after the resection of the liver. The gene expression of the albumin decreased in the model group.Conclusion The experimental rat model of POFS by partial resection of the liver can be used for the investigation of POFS.
In the process of lower limb rehabilitation training, fatigue estimation is of great significance to improve the accuracy of intention recognition and avoid secondary injury. However, most of the existing methods only consider surface electromyography (sEMG) features but ignore electrocardiogram (ECG) features when performing in fatigue estimation, which leads to the low and unstable recognition efficiency. Aiming at this problem, a method that uses the fusion features of ECG and sEMG signal to estimate the fatigue during lower limb rehabilitation was proposed, and an improved particle swarm optimization-support vector machine classifier (improved PSO-SVM) was proposed and used to identify the fusion feature vector. Finally, the accurate recognition of the three states of relax, transition and fatigue was achieved, and the recognition rates were 98.5%, 93.5%, and 95.5%, respectively. Comparative experiments showed that the average recognition rate of this method was 4.50% higher than that of sEMG features alone, and 13.66% higher than that of the combined features of ECG and sEMG without feature fusion. It is proved that the feature fusion of ECG and sEMG signals in the process of lower limb rehabilitation training can be used for recognizing fatigue more accurately.
Objectives To explore the quality of the reporting of randomized controlled trials (RCTs) of traditional Chinese medicine (TCM) for chronic fatigue syndrome (CFS).Methods We searched the Cochrane Central Register of Controlled Clinical Trials (CENTRAL) (The Cochrane Library, Issue 4, 2006), PubMed, EMbase, the Chinese Biomedical Database (CBMdisc), VIP Information, and China National Knowledge Infrastructure (CNKI) (from establishment to February 2007). We also checked the reference lists of included studies. The quality of the reporting of RCTs was assessed using the 22-item checklist of the CONSORT Statement and other self-established criteria. Results Thirty-eight RCTs were included. The word “randomization” was not present in any of the trials, and only 17 reports used a structured abstract. All trials did not report the scientific background and the rational for the trial, the estimation of the necessary sample size, the methods of allocation concealment and blinding, participant flow chart, ITT analysis, and ancillary analyses. Some authors misunderstood the diagnostic criteria and inclusion criteria, some selected inappropriate control interventions, and some did not clearly describe their statistical methods or used incorrect methods. All 38 trials reported positive outcomes, few reported adverse effects. No report included a general interpretation of the new trial’s results in the context of current evidence in their discussion section, and none mentioned the limitations of the study, the clinical and research implications or the external validity of the trial findings. Conclusion The overall reporting quality of RCTs of TCM for CFS is poor. Defects are found in each section of the reports. Researchers and journal editors should learn and use the principles and methods of evidence-based medicine—especially the use of a transparent prospective clinical trial register and the CONSORT Statement—to improve the design, conduct and report TCM trials.
Fatigue is an exhaustion state caused by prolonged physical work and mental work, which can reduce working efficiency and even cause industrial accidents. Fatigue is a complex concept involving both physiological and psychological factors. Fatigue can cause a decline of concentration and work performance and induce chronic diseases. Prolonged fatigue may endanger life safety. In most of the scenarios, physical and mental workloads co-lead operator into fatigue state. Thus, it is very important to study the interaction influence and its neural mechanisms between physical and mental fatigues. This paper introduces recent progresses on the interaction effects and discusses some research challenges and future development directions. It is believed that mutual influence between physical fatigue and mental fatigue may occur in the central nervous system. Revealing the basal ganglia function and dopamine release may be important to explore the neural mechanisms between physical fatigue and mental fatigue. Future effort is to optimize fatigue models, to evaluate parameters and to explore the neural mechanisms so as to provide scientific basis and theoretical guidance for complex task designs and fatigue monitoring.
Objective To identify, describe, and evaluate the evidence of traditional Chinese medicine (TCM) interventions for cancer-related fatigue (CRF) using an evidence mapping approach. Methods The CNKI, WanFang Data, VIP, SinoMed, PubMed, Web of Science and Embase databases were electronically searched to collect studies on TCM interventions for CRF from inception to June 4, 2024. Evidence mapping was employed to present the characteristics of study populations, interventions, studies included in systematic review/meta-analysis (SR/MA), and conclusions. Results A total of 94 randomized controlled trials (RCT) and 17 SR/MA/network MA were included. The number of publications has shown an overall fluctuating upward trend in the past 15 years. The RCT included literature with a high focus on mixed cancers, involving a total of 51 TCM therapeutic measures, including 40 herbal treatments, 5 external TCM treatments, and 5 TCM integrative therapies. The outcome indicators were classified into 14 categories, with the most frequent ones being CRF scores, TCM syndrome scores, clinical efficacy, quality of life scores, immune function indicators, adverse event rates, and serum indicators. The SR/MA included 7-81 original studies with sample sizes of 551-7 547 cases, involving 5 intervention measures: herbal medicine (9 studies), moxibustion (3 studies), TCM injection (2 studies), moxibustion (2 studies), and acupuncture (1 study). The quality of RCT and SR/MA was generally low, and the evidence quality was low. Most studies showed that TCM interventions for CRF had potential efficacy, but there was still a lack of definitive clinical evidence. Conclusion The results suggest that TCM interventions for CRF have advantages but also problems. There is still a lack of high-quality research. More large-sample, multicenter RCT and high-quality SR/MA are needed to further explore the advantages of TCM interventions for CRF and provide strong support for the effectiveness and safety of TCM interventions for CRF.
With the wide application of virtual reality technology and the rapid popularization of virtual reality devices, the problem of brain fatigue caused by prolonged use has attracted wide attention. Sixteen healthy subjects were selected in this study. And electroencephalogram (EEG) signals were acquired synchronously while the subjects watch videos in similar types presented by traditional displayer and virtual reality separately. Two questionnaires were conducted by all subjects to evaluate the state of fatigue before and after the experiment. The mutual correlation method was selected to construct the mutual correlation brain network of EEG signals before and after watching videos in two modes. We also calculated the mutual correlation coefficient matrix and the mutual correlation binary matrix and compared the average of degree, clustering coefficient, path length, global efficiency and small world attribute during two experiments. The results showed that the subjects were easier to get fatigue by watching virtual reality video than watching video presented by traditional displayer in a certain period of time. By comparing the characteristic parameters of brain network before and after watching videos, it was found that the average degree value, the average clustering coefficient, the average global efficiency and the small world attribute decreases while the average path length value increased significantly. In addition, compared to traditional plane video, the characteristic parameters of brain network changed more greatly after watching the virtual reality video with a significant difference (P < 0.05). This study can provide theoretical basis and experimental reference for analyzing and evaluating brain fatigue induced by virtual reality visual experience.
ObjectiveTo investigate the methodological and reporting quality of clinical trials involving Xiaoyao San for chronic fatigue syndrome. MethodsWe searched PubMed, CBM, CNKI, VIP and WanFang Data to identify randomized controlled trials (RCTs) about Xiaoyao San for chronic fatigue syndrome. The methodological and reporting quality of included RCTs was respectively evaluated according to the assessment tool of risk of bias of the Cochrane Handbook 5.1.0 and the CONSORT 2010 statement, combined with complementary assessment by the characteristic indicators of traditional Chinese medicine (TCM). The methodological and reporting quality of included case series study was respectively assessed by the methods recommended by the Britain's National Institute for Clinical Excellence (NICE) and the STROBE statement. ResultsA total of 27 clinical trials were included, involving 11 RCTs and 16 case series studies. According to the assessment tool of risk of bias of the Cochrane Handbook, 54.5% of the RCTs performed proper random method, 9.1% conducted allocation concealment and blinding, 72.7% selected intention-to-treat (ITT) analysis without the report of loss to follow-up, and no RCT existed selective reports. Corresponding to the characteristic indicators of TCM, 54.5% of the RCTs did not conduct TCM syndrome diagnosis, the curative effect standard of TCM syndrome was discrepant, and no RCT was multi-center study. The CONSORT 2010 statement indicated that no RCT explained sample size estimation, implementation details of randomization, flow diagram of participant, use of ITT and clinical trial registration. According to the items recommended by Britain's NICE, 6.25% of the case series studies were multi-center, 81.25% did not report clear inclusion and exclusion criteria, and no case series study performed continuous patient recruitment and stratification analysis of outcome. The STROBE statement indicated that no case series study reported research design, sample size, flow chart, bias, limitations and generalizability. ConclusionThe quality of clinical trials about Xiaoyao San for chronic fatigue syndrome is still low in methodological and reporting aspects. It is suggested that the future clinical trials should be conducted with references of CONSORT statement and STROBE statement, to propel the modernization and internationalization of TCM.