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Innovation

Arduino-based noise robust online heart-rate detection

, &
Pages 170-178 | Received 26 Jul 2016, Accepted 06 Dec 2016, Published online: 12 Jan 2017
 

Abstract

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.

Disclosure statement

The authors report no conflicts of interest.

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