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Using a Calculated Pulse Rate with an Artificial Neural Network to Detect Irregular Interbeats

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Abstract

Heart rate is an important clinical measure that is often used in pathological diagnosis and prognosis. Valid detection of irregular heartbeats is crucial in the clinical practice. We propose an artificial neural network using the calculated pulse rate to detect irregular interbeats. The proposed system measures the calculated pulse rate to determine an “irregular interbeat on” or “irregular interbeat off” event. If an irregular interbeat is detected, the proposed system produces a danger warning, which is helpful for clinicians. If a non-irregular interbeat is detected, the proposed system displays the calculated pulse rate. We include a flow chart of the proposed software. In an experiment, we measure the calculated pulse rates and achieve an error percentage of < 3 % in 20 participants with a wide age range. When we use the calculated pulse rates to detect irregular interbeats, we find such irregular interbeats in eight participants.

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Acknowledgments

This study was supported by the Chang Gung University Research Program UERPD2C0071. The authors wish to thank the High Speed Intelligent Communication (HSIC) Research Center at the Chang Gung University, Taiwan, for providing facilities and financial support that were crucial to our study.

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  1. Department of Electrical Engineering, Chang Gung University, Taiwan, Republic of China

    Bih-Chyun Yeh & Wen-Piao Lin

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  1. Bih-Chyun Yeh
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  2. Wen-Piao Lin
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Correspondence to Bih-Chyun Yeh.

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This article is part of the Topical Collection on Education & Training

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Yeh, BC., Lin, WP. Using a Calculated Pulse Rate with an Artificial Neural Network to Detect Irregular Interbeats. J Med Syst 40, 48 (2016). https://doi.org/10.1007/s10916-015-0409-x

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  • DOI: https://doi.org/10.1007/s10916-015-0409-x

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