Manuscript Number : IJSRSET195903

Monitoring of HR and BP using DFT and Pan-Tompkins Algorithm

Authors(3) :-Muhammed Siyad S, Thasni N, Rajeswary M

In this paper we propose monitoring of blood pressure and heart rate using Discrete Fourier Transform and Pan-Tompkins algorithm to achieve higher wear ability and high accuracy. Motion artifacts induced by the head movements are deals with machine learning framework to enable practical application scenarios. Here we suggest to place all the electrocardiogram (ECG) and photoplethysmography (PPG) sensors behind two ears to successfully acquire weak ear -ECG/PPG signals using a semi customized platform. After introducing head motions towards, we apply an unsupervised learning algorithm, Pan Tompkins to learn and identify raw heartbeats from motion artifacts compacted signals. Furthermore, we propose another unsupervised learning algorithm to filter out distorted/faking heartbeats, for the estimation of ECG to PPG pulse transit time (PTT) and HR. Specifically, we introduce a Discrete Fourier Transform (DFT) to quantify distortion conditions of raw heartbeats referring to a high-quality heartbeat pattern, which are then compared with a threshold to perform purification. The heartbeat pattern and the distortion threshold are learned by a K-medoids clustering approach and a histogram triangle method, respectively. Afterwards, we perform a comparative analysis on ten PTT or PTT&HR-based BP learning models.

Authors and Affiliations

Muhammed Siyad S
Department of Electronics and Communication Engineering, Musaliar college of Engineering Chirayinkeezhu , Trivandrum, Kerala, India
Thasni N
Department of Electronics and Communication Engineering, Musaliar college of Engineering Chirayinkeezhu , Trivandrum, Kerala, India
Rajeswary M
Department of Electronics and Communication Engineering, Musaliar college of Engineering Chirayinkeezhu , Trivandrum, Kerala, India

Electrocardiogram (ECG), Photoplethysmography (PPG), Pulse Transition Time (PTT), Machine Learning, Signal Processing, Pan Tompkins algorithm, Discrete Fourier Transform.

  1. L. Kaufman and P. J. Rousseeuw, "Partitioning around medoids(program pam)," Finding groups in data: an introduction to cluster analysis, pp. 68-125, 1990.
  2. Q. Zhang, C. Zahed, V. Nathan, D. A. Hall, and R. Jafari, "An ECG dataset representing real-world signal characteristics for wearable
  3. computers," in Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE, 2015, pp. 1-4.
  4. N. V. Thakor, J. G. Webster, and W. J. Tompkins, "Design, implementation, and evaluation of a microcomputer-based portable arrhythmia monitor," Med. Biol. Eng. Comput., vol. 22, pp. 151-159, 1984.
  5. Jiapu Pan and Willis J Tompkins "A Real-Time QRS Detection Algorithm" IEEE Transactions On Biomedical Engineering, Vol. Bme-32, No. 3, March 1985.
  6. Q. Zhang, C. Zahed, V. Nathan, D. A. Hall, and R. Jafari, "An ECG dataset representing real-world signal characteristics for wearable
  7. computers," in Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE, 2015, pp. 1-4.
  8. F. S. Cattivelli and H. Garudadri, "Noninvasive cuffless estimation of blood pressure from pulse arrival time and heart rate with adaptive calibration," in 2009 Sixth international workshop on wearable and implantable body sensor networks, 2009, pp. 114-119.
  9. X. Long, P. Fonseca, J. Foussier, R. Haakma, and R. M. Aarts, "Sleep and wake classification with actigraphy and respiratory effort using dynamic warping," IEEE journal of biomedical and health informatics, vol. 18, pp. 1272-1284, 2014.

Publication Details

Published in : Volume 5 | Issue 9 | May 2019
Date of Publication : 2019-06-07
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 15-28
Manuscript Number : IJSRSET195903
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Muhammed Siyad S, Thasni N, Rajeswary M , " Monitoring of HR and BP using DFT and Pan-Tompkins Algorithm, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 5, Issue 9, pp.15-28, May-2019. Journal URL : https://res.ijsrset.com/IJSRSET195903

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