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Analysis of Health Management Using Physiological Data Based on Continuous Exercise
International Journal of Precision Engineering and Manufacturing ( IF 1.9 ) Pub Date : 2021-04-07 , DOI: 10.1007/s12541-021-00503-3
Woosuk Chong , Seonghyun Kim , Changho Yu , Seongtak Woo , Kyong Kim

To accurately predict and monitor an individual’s health, accurate information on the changing patterns of the individual’s physiological signals is required. In this study, obesity parameters were analyzed using regression analysis based on the physiological signals of individuals who performed continuous exercise. To this end, three healthy adult subjects participated in the experiment, and their health management was analyzed by monitoring changes in health information parameters while they performed continuous exercise with daily activities over a long period of time. Subjects’ exercise parameters included heart rate were collected through smart watches, and their specified obesity parameters were measured using a smart scale. The analysis results showed that weight and body fat decreased and muscle composition increased in conjunction with the amount of exercise for two subjects who performed continuous exercise while conducting daily activities. For one subject who did not perform any specific exercise, however, the weight and body muscle rate tended to increase slightly and the body fat rate tended to decrease slightly. It was found that continuous exercise improved the subjects’ ability to adapt to exercise, thereby increasing Max BPM and reducing weight. Performing continuous exercise while conducting daily activities appears to improve physical measures of health, as it decreases weight and body fat rate and increases body muscle rate. Health management analysis based on the physiological data collected from smart devices is expected to play a role in keeping the human body healthy.



中文翻译:

基于连续锻炼的生理数据进行健康管理的分析

为了准确地预测和监视个体的健康,需要有关个体生理信号变化模式的准确信息。在这项研究中,基于进行连续运动的个体的生理信号,使用回归分析对肥胖参数进行了分析。为此,三名健康成人受试者参加了该实验,并通过监测健康信息参数的变化来分析他们的健康管理,而这些信息是他们长时间进行日常活动而进行的连续锻炼。通过智能手表收集受试者的运动参数(包括心率),并使用智能秤测量他们指定的肥胖参数。分析结果表明,两名每天进行连续运动的受试者的运动量与体重和体脂的减少以及肌肉组成的增加有关。然而,对于没有进行任何特定运动的受试者,体重和身体肌肉率倾向于略微增加,而身体脂肪率倾向于略微降低。研究发现,持续锻炼可以提高受试者的适应能力,从而增加最大BPM并减轻体重。在进行日常活动的同时进行连续运动似乎可以改善身体的健康状况,因为它可以减轻体重和体内脂肪率,并提高身体肌肉率。

更新日期:2021-04-08
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