Characterization of Non-linear HRV Parameters among Women by Poincare Analysis

  • Sumana Chatterjee university of pune
  • D N Tibarewala
Keywords: Heart Rate variability (HRV), Autonomic Nervous System (ANS), Non-Linear measures, Reproductive phases, Post-Menopausal phases

Abstract

Heart rate variability (HRV) is the natural rise and fall of beat-to-beat heart rate as controlled by the autonomic nervous system (ANS) which, in turn, is affected by various physiological factors e.g. breathing, blood pressure, hormones, emotions, and many others. The research work reported in this paper concentrates on characterization of non-linear measures of HRV in females of different hormonal status and from different demographic regions. A total of 141 women subjects (39.97±14.18) belonging to 4 groups i.e. Reproductive and Post-Menopausal age groups from both the Plane and Hill region of West Bengal were studied for short term HRV. Based on the observations, it may be concluded that the hormonal status is properly reflected in non-linear parameters of HRV irrespective of life style and/or demographic variations.

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Published
2018-03-22
How to Cite
Chatterjee, S., & Tibarewala, D. (2018). Characterization of Non-linear HRV Parameters among Women by Poincare Analysis. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 3(3). Retrieved from http://www.asianssr.org/index.php/ajct/article/view/234
Section
Article

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