Analysis and recognition of post-exercise cardiac state based on heart sound features and cardiac troponin I

作者全名:"Wang, Menglu; Lv, Chengcong; Zhang, Yao; Liu, Kai; Yan, Xiaobo; Liu, Leichu; Zheng, Yineng; Guo, Xingming"

作者地址:"[Wang, Menglu; Lv, Chengcong; Zhang, Yao; Guo, Xingming] Chongqing Univ, Coll Bioengn, Key Lab Biorheol Sci & Technol, Minist Educ, Chongqing 400044, Peoples R China; [Liu, Kai] Army Engn Univ PLA, Commun Sergeant Sch, Chongqing, Peoples R China; [Yan, Xiaobo; Liu, Leichu] Chongqing Univ, Coll Phys Educ, Chongqing 401331, Peoples R China; [Zheng, Yineng] Chongqing Med Univ, Affiliated Hosp 1, Dept Radiol, Chongqing 400016, Peoples R China"

通信作者:"Guo, XM (通讯作者),Chongqing Univ, Coll Bioengn, Key Lab Biorheol Sci & Technol, Minist Educ, Chongqing 400044, Peoples R China.; Liu, K (通讯作者),Army Engn Univ PLA, Commun Sergeant Sch, Chongqing, Peoples R China."

来源:EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY

ESI学科分类:CLINICAL MEDICINE

WOS号:WOS:001003967900001

JCR分区:Q1

影响因子:2.8

年份:2023

卷号: 

期号: 

开始页: 

结束页: 

文献类型:Article; Early Access

关键词:Exercise; Heart function; Heart sound; Cardiac troponin I(cTnI)

摘要:"PurposeExcessive intensity exercises can bring irreversible damage to the heart. We explore whether heart sounds can evaluate cardiac function after high-intensity exercise and hope to prevent overtraining through the changes of heart sound in future training.MethodsThe study population consisted of 25 male athletes and 24 female athletes. All subjects were healthy and had no history of cardiovascular disease or family history of cardiovascular disease. The subjects were required to do high-intensity exercise for 3 days, with their blood sample and heart sound (HS) signals being collected and analysed before and after exercise. We then developed a Kernel extreme learning machine (KELM) model that can distinguish the state of heart by using the pre- and post-exercise data.ResultsThere was no significant change in serum cardiac troponin I after 3 days of load cross-country running, which indicates that there was no myocardial injury after the race. The statistical analysis of time-domain characteristics and multi-fractal characteristic parameters of HS showed that the cardiac reserve capacity of the subjects was enhanced after the cross-country running, and the KELM is an effective classifier to recognize HS and the state of the heart after exercise.ConclusionThrough the results, we can draw the conclusion that this intensity of exercise will not cause profound damage to the athlete's heart. The findings of this study are of great significance for evaluating the condition of the heart with the proposed index of heart sound and prevention of excessive training that causes damage to the heart."

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