A heart rate detection method for low power exercise intensity monitoring device

2014 IEEE International Symposium on Bioelectronics and Bioinformatics (IEEE ISBB 2014) Pub Date : 2014-04-11 DOI:10.1109/ISBB.2014.6820931

Eka Adi Prasetyo Joko Prawiro, Chia-Chun Hu, Yi-Sheng Chan, Cheng-Hung Chang, Yuan-Hsiang Lin

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引用次数: 9

Abstract

Exercise is important for health, however inappropriate exercise would harm our body or get nothing affects. Therefore, a wearable exercise intensity monitoring device can assist user to manage their exercise intensity. Heart rate (HR) is an index to indicate the exercise intensity. In this paper, we proposed a high accuracy HR detection method and implemented it on a wearable and low power device for exercise intensity monitoring. This device consists of a two-electrode ECG amplifier, a MSP430 microprocessor and a Bluetooth Low Energy (BLE) module. Moreover, the device can transmit the HR to a Smart-phone via the BLE. The accuracy of HR detection method is verified in both resting and dynamic conditions. For resting condition, we use a commercial ECG simulator as signal input and the accuracy of HR detection is 100 percents. For dynamic condition, we use treadmill test. Three subjects (2 male, 1 female) walking in six speeds from 1.8 km/h until 6.3 km/h and running in 7.2 km/h. The accuracy of HR detection is 99.7 percents.

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一种用于低功率运动强度监测装置的心率检测方法

运动对健康很重要，然而不适当的运动对我们的身体有害或毫无影响。因此，一种可穿戴的运动强度监测设备可以帮助用户管理自己的运动强度。心率(HR)是反映运动强度的指标。本文提出了一种高精度的HR检测方法，并将其实现在一种可穿戴低功耗运动强度监测设备上。该装置由一个双电极心电放大器、一个MSP430微处理器和一个低功耗蓝牙(BLE)模块组成。此外，该设备还可以通过BLE将HR传输到智能手机。在静息和动态条件下验证了HR检测方法的准确性。在静息状态下，我们使用商用心电模拟器作为信号输入，HR检测的准确率为100%。对于动态工况，我们采用跑步机试验。三名受试者(2男1女)以从1.8公里/小时到6.3公里/小时的六种速度行走，并以7.2公里/小时的速度跑步。HR检测的准确率为99.7%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2014 IEEE International Symposium on Bioelectronics and Bioinformatics (IEEE ISBB 2014)

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