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FPGA Implementation of Heart Rate Monitoring System.

This paper describes a field programmable gate array (FPGA) implementation of a system that calculates the heart rate from Electrocardiogram (ECG) signal. After heart rate calculation, tachycardia, bradycardia or normal heart rate can easily be detected. ECG is a diagnosis tool routinely used to acc...

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Published in:Journal of Medical Systems Vol. 40; no. 3; pp. 1 - 13
Main Authors: Panigrahy, D., Rakshit, M., Sahu, P.
Format: equations & formulas pictorial research tables/charts tracings Journal Article
Published: Springer Nature Mar2016
Online Access:View this record in EBSCOhost
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      dt: Mar2016
      vid: 40
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      pub: Springer Nature
      place: New York, New York
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        115925271
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        10.1007/s10916-015-0410-4
        115925271
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        atl: FPGA Implementation of Heart Rate Monitoring System.
      aug:
        au:
          Panigrahy, D.
          Rakshit, M.
          Sahu, P.
        affil: Department of Electrical Engineering, NIT Rourkela, Odisha India
      sug:
        subj:
          Heart Rate
          Monitoring, Physiologic Methods
          Electrocardiography
          Technology, Medical Evaluation
          Computing Methodologies
          Algorithms Utilization
      ab: This paper describes a field programmable gate array (FPGA) implementation of a system that calculates the heart rate from Electrocardiogram (ECG) signal. After heart rate calculation, tachycardia, bradycardia or normal heart rate can easily be detected. ECG is a diagnosis tool routinely used to access the electrical activities and muscular function of the heart. Heart rate is calculated by detecting the R peaks from the ECG signal. To provide a portable and the continuous heart rate monitoring system for patients using ECG, needs a dedicated hardware. FPGA provides easy testability, allows faster implementation and verification option for implementing a new design. We have proposed a five-stage based methodology by using basic VHDL blocks like addition, multiplication and data conversion (real to the fixed point and vice-versa). Our proposed heart rate calculation (R-peak detection) method has been validated, using 48 first channel ECG records of the MIT-BIH arrhythmia database. It shows an accuracy of 99.84 %, the sensitivity of 99.94 % and the positive predictive value of 99.89 %. Our proposed method outperforms other well-known methods in case of pathological ECG signals and successfully implemented in FPGA.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        tracings
        Journal Article
      ougenre: Article
    language: English
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