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International Journal of Information Technology & Computer Science ( IJITCS )

Abstract :

Mobile devices are getting popular annually. More and more people devote to the development of Apps. There are many ECG related Apps available on Google Play or App Store. In most of these applications, however, they only have time domain Electrocardiogram waveform display. They usually lack frequency domain information. This research is an extension of our previous research [1]. In addition to the time domain ECG waveform display and analysis, we developed the frequency domain spectral analysis. User can view both time domain and frequency domain information on mobile device simultaneously. The time domain ECG waveform provides short time information about individual heart beat, and the spectrum provides long term information about the heart beat ratevariation. They complement each other. The time domain waveform provides information about the polarization and depolarization of the heart, whereas the information about the autonomic nervous system can be derived from the spectrum .

Keywords :

: Android, Electrocardiogram, Electrocardiogram Spectral Analysis, HRV, Autonomic Nervous System .

References :

  1. Sung-YuanKo,Kang-MinWang,; Wei-Cheng Lian, Chun-Heng Kao A portable ECG recorder, 2nd International Conference onConsumer Electronics, Communications and Networks (CECNet), pp. 3063 - 3067, April 2012. 
  2. Berger, R.D., Akselrod, S., Gordon, D., and Cohen, R.J. (1986): ‘An efficient algorithm for spectral analysis of heart rate variability’, IEEE Transactions on Biomedical Engineering, 33, pp. 900– 904. 
  3. Bigger JT Jr, Fleiss JL, Steinman RC, Rolnitzky LM, Kleiger RE, Rottman JN. (1992). "Frequency domain measures of heart period variability and mortality after myocardial infarction". Circulation. 85 (1): 164–171.
  4. Kleiger RE, Miller JP, Bigger JT Jr, Moss AJ. (1987). "Decreased heart rate variability and its association with increased mortality after acute myocardial infarction". Am J Cardiol. 59 (4): 256–262.
  5. Nickel, P.; F. Nachreiner (2003). "Sensitivity and Diagnostics of the 0.1Hz Component of Heart Rate Variability as an Indicator of Mental Workload". Human Factors 45 (4): 575–590
  6. Jönsson, P. (2007). "Respiratory sinus arrhythmia as a function of state anxiety in healthy individuals". International Journal of Psychophysiology 63 (1): 48–54.
  7. Brosschot, J.F.; E. Van Dijk; J.F. Thayer (2007). "Daily worry is related to low heart rate variability during waking and the subsequent nocturnal sleep period". International Journal of Psychophysiology 63 (1): 39–47.
  8. Heart rate variability-Standards of measurement, physiological interpretation, and clinical use. European Heart Journal (1996) vol.17,P. 354–381
  9. Kamath, M.V., and Fallen, E.L. (1995): ‘Correction of the heart rate variability signal for ectopics and missing beats’, In: Malik, M., and Camm, A.J. eds. Heartrate variability, Armonk: Futura, pp. 75–85.

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