Arduino-based noise robust online heart-rate detection

被引：5

作者：

Das S. ^{[1
]}

Pal S. ^{[1
]}

Mitra M. ^{[1
]}

机构：

[1] Department of Applied Physics, University of Calcutta, Kolkata

来源：

Mitra, Madhuchhanda (madhuchhanda94@rediffmail.com) | 1600年 / Taylor and Francis Ltd.卷 / 41期

关键词：

Arduino; autocorrelation; ECG signal; heart rate; online data acquisition;

D O I：

10.1080/03091902.2016.1271044

中图分类号：

学科分类号：

摘要：

This paper introduces a noise robust real time heart rate detection system from electrocardiogram (ECG) data. An online data acquisition system is developed to collect ECG signals from human subjects. Heart rate is detected using window-based autocorrelation peak localisation technique. A low-cost Arduino UNO board is used to implement the complete automated process. The performance of the system is compared with PC-based heart rate detection technique. Accuracy of the system is validated through simulated noisy ECG data with various levels of signal to noise ratio (SNR). The mean percentage error of detected heart rate is found to be 0.72% for the noisy database with five different noise levels. © 2017 Informa UK Limited, trading as Taylor & Francis Group.

引用

页码：170 / 178

页数：8

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