• DocumentCode
    562813
  • Title

    Are Meditative states distinguishable from the pre-meditative ones? A new alternative study

  • Author

    Dey, Anilesh ; Mukherjee, Sayan ; Palit, Sanjay Kumar ; Bhattacharya, D.K. ; Tibarewala, D.N.

  • Author_Institution
    Electron. & Commun. Eng. Dept., Narula Inst. of Technol., Kolkata, India
  • fYear
    2012
  • fDate
    30-31 March 2012
  • Firstpage
    456
  • Lastpage
    461
  • Abstract
    Analysis of the HRV signals towards classification of pre-meditative and meditative states has been widely accepted among the research communities. However, none of the existing methods used so far successfully classifies the meditative and pre-meditative states. In this article, we introduce a new approach, which is based on Similarity Index introduced by A.C.C. Yang et. al. The method calculates the rank for each word of length four and compares probability distributions between each pair of subjects (both in meditative and pre-meditative states) by using Q-Q plot. The Q-Q plots show same probability distribution for the meditative states and different probability distributions for the pre-meditative states. Thus Q-Q plots clearly distinguish the meditative states from the pre-meditative ones.
  • Keywords
    cardiology; medical signal processing; signal classification; statistical distributions; HRV signal classification; Q-Q plot; heart rate variability; meditative state; premeditative state; probability distribution; similarity index; Acceleration; Heart rate variability; Indexes; Physiology; Probability distribution; Psychology; Visualization; Pre-meditative and meditative HRV data; Q-Q plot; Similarity index; rank;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on
  • Conference_Location
    Nagapattinam, Tamil Nadu
  • Print_ISBN
    978-1-4673-0213-5
  • Type

    conf

  • Filename
    6216046