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USB Based Data Acquisition System for Heart Rate Variability through ECG & PPG Signals

USB Based Data Acquisition System for Heart Rate Variability through ECG & PPG Signals. Vibhuti Bagga 1 , Tanvi Kalra 2 , Abhinav 3 , Sneh Anand 3 1- Faculty of Sciences, Jamia Hamdard, New Delhi 2- Department of Biomedical Engineering, Rayat & Bahra Institute of Engineering &

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USB Based Data Acquisition System for Heart Rate Variability through ECG & PPG Signals

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  1. USB Based Data Acquisition System for Heart Rate Variability through ECG & PPG Signals Vibhuti Bagga1, Tanvi Kalra2, Abhinav 3, Sneh Anand 3 1- Faculty of Sciences, Jamia Hamdard, New Delhi 2- Department of Biomedical Engineering, Rayat & Bahra Institute of Engineering & Bio-Technology, Punjab 3- Centre for Biomedical Engineering, IIT DELHI

  2. What is HRV? • Refers to the variation in beat-to-beat pacing intervals of • heart rate • It is a measure of heart's ability to respond to normal • regulatory impulses that affect its rhythm • HRV analysis is an important parameter for assessment • of the cardiovascular autonomic nervous system • Bears clinical relevance for both diagnostic & prognostic • purposes as they are directly influenced by the • sympathetic and parasympathetic systems

  3. Electrocardiograph • Refers to the electrical activity of the heart represented • as a vector between two point charges • It measures the rate and regularity of heart beats

  4. PHOTOPLETHYSMOGRAPHY • Optical measurement technique used to detect blood volume • changes in the microvascular bed of the tissues during cardiac cycle • PPG signal contains components that are synchronous with • respiratory and cardiac rhythms • It can be used as a replacement of ECG for HRV analysis in healthy subjects. • It is also a measure of vessel stiffness. Systolic peak Dicrotic notch

  5. Reflective Type - PPG the yellow region shows the path of the photons (emitted by the source) which reach the detector after scattering and absorption into the various layers of the skin

  6. HRV analysis can be done using ECG and PPG

  7. Pulse Transit Time • The time taken for pulse wave to travel from the left ventricle to the peripheral site • Noninvasive measure of arterial compliance • The PTT can be computed from the ECG and PPG waveforms as the time delay in between R wave peak of ECG and upstroke of corresponding PPG pulse . • Can be used for continuous monitoring of vascular reactivity • PTT varies in pace with respiration & so can be used for respiration monitoring

  8. Features include: • USB based ; no external power supply needed • Simultaneous plot of both ECG & PPG • Small size, compact ; portable • Signal processing at the press of a button.* * Under process…

  9. Functional Block Diagram

  10. ECG Measurement Module

  11. This three leads ECG system includes:

  12. The PPG system includes:

  13. Acquisition Module

  14. Acquisition Module

  15. Graphical User Interface • A visual basic, windows based application. • Reads data from the USB port in bulk and displays it on the monitor. • Features include : • Two selectable channels • No of samples :10-500 • Selectable time base: 10 us – 1000 ms • Data can be stored as a text file and processed as desired. • Signal plotted can be smoothened, averaged and inverted

  16. Discussion • The acquisition system & the GUI successfully acquire and • plot the noise free ECG signal. • Further improvisations in the plotting software include • User selectable acquisition duration • Continuous and dynamic plotting • Integration of the various data processing • features for HRV analysis

  17. References : • Selvaraj, N., Jaryal, A. K., Santhosh, J., Deepak, K. K. and Anand, S.(2009)'Influence of respiratory rate on the variability of blood volume pulse characteristics',Journal of Medical Engineering & Technology • Allen, J., 2007, Photoplethysmography and its application in clinical physiological • measurement. Physiological Measurement, 28, R1–R39. • Foo, J.Y.A. and Lim, C.S., 2006, Pulse transit time as an indirect marker for variations • in cardiovascular related reactivity. Technology and Health Care, 14, 97–108. • Johansson, A., Ahlstrom, C., Lanne, T. and Ask, P., 2006, Pulse wave transit time for • monitoring respiration rate. Medical & Biological Engineering & Computing, • 44, 471–478. • Selvaraj, N., Jaryal, A., Santhosh, J., Deepak, K.K. and Anand, S., 2008, Assessment of • heart rate variability derived from finger-tip photoplethsmography as compared to • electrocardiography. Journal of Medical Engineering & Technology.

  18. Thank You Queries?

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