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
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;
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