基于心率和血氧饱和度的无创可穿戴传感器运动疲劳预警系统

Dody Ichwana Putra, Diladia Suarmin, S. Ekariani
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摘要

本文提出了一种基于心率和血氧饱和度监测的基于android平台的无创可穿戴传感器疲劳预警系统。本研究旨在为体育锻炼过程中疲劳的实时预测提供早期预警。本研究提供了一种定义体育锻炼时疲劳程度的算法。手腕上的非侵入式可穿戴传感器用于检测用户的心率和氧饱和度,并在安卓应用程序上进行监测。当系统在锻炼过程中检测到用户的疲劳迹象时,用户的家人会收到通知和用户的位置。在不同年龄、跑步速度和跑步时间的情况下,在跑步机上慢跑,观察运动对心率和血氧饱和度的影响。实验结果表明,心率检测准确率为93.3%,血氧饱和度检测准确率为91.9%。当用户的心率和氧饱和度处于异常状态时,android应用程序会发出警告。慢跑时,使用者的年龄、跑步速度和运动时间都会影响心率和血氧饱和度。当达到最大心率的80%以上,血氧饱和度低于95%时,使用者会感到疲劳。
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Fatigue Warning System During Physical Exercise Based on Heart Rate and Oxygen Saturation Using Non-invasive Wearable Sensor
This paper presents the fatigue warning system based on heart rate and oxygen saturation monitoring using a non-invasive wearable sensor on the android platform. This study aims to provide an early warning in anticipation of fatigue in real-time during physical exercise. An algorithm to define the level of fatigue when physical exercise is provided in this study. A non-invasive wearable sensor located on the wrist is used to detect the user's heart rate and oxygen saturation and monitor them on the android applications. The user's family gets the notifications and the user's locations when the system detects the indications of the user's fatigue during the physical exercise. The testing is done by jogging on the treadmill under the scenario variations of age, running speed, and running duration to see the effect of physical activity on the heart rates and oxygen saturation. The experiments show heart rate detection, and oxygen saturation accuracies are 93.3% and 91.9%, respectively. The android application warns when the user's heart rate and oxygen saturation are under abnormal conditions. The user's age, running speed, and exercise duration affect the heart rate and oxygen saturation during jogging. The user feels fatigued when reaching above 80% of maximum heart rate and oxygen saturation level under 95%.
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