Open AccessTime-Frequency Techniques in Wrist Pulse Signals
Author(s) -
Nidhi Garg*,
Nikita Babbar
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l2520.1081219
Subject(s) - signal (programming language) , frequency domain , time–frequency analysis , time domain , computer science , pulse (music) , acoustics , signal processing , physics , telecommunications , computer vision , radar , detector , programming language
Wrist pulse signal has been the traditional way of diagnosing human health in India. It is a low frequency, non-stationary signal. There are broadly three techniques of analyzing a signal – time, frequency and time-frequency domain. The individual time and frequency domain representations of the signal do not provide much information on properties of a non-stationary signal. However, the time-frequency distributions of a non-stationary signal overcome these problems and provide more information about the pulse signal. This paper presents the various time-frequency distribution techniques for analyzing non-stationary wrist pulse signals .