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  • 标题:A Review of Different Analyzing Methods to Extract HRV Data
  • 本地全文:下载
  • 作者:Hemanth Kumar.V ; Dr. B.G Sudarshan ; Dr. S C Prasanna kumar
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2013
  • 卷号:4
  • 期号:4-5
  • 出版社:Seventh Sense Research Group
  • 摘要:The autonomic nervous system is amazingly extensive and it is involved in the function of virtually every organ system, one of such parameter is Heart rate variability, the beattobeat variation in either heart rate or duration of the RR interval the heart period, has become popular clinical investigation tool. The last two decades have witnessed the recognition of a significant relationship between the autonomic nervous system and cardiovascular mortality, including sudden cardiac death. Easy and noninvasive derivation of this measure has popularized its use. The sympatho vagal balance (MF/HF) which indicates the influence of two branches of autonomic nervous system on HRV [3]. Different methodologies and analysis methods are there to find these parameters by using suitable software tool and platform. In this paper we have discussed various methods to analyse and to extract HRV parameters and software tools available for analysis.
  • 关键词:heart; system; autonomic; hrv; nervous; rate; analysis
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