Design of Matched Wavelet Using Improved Genetic Algorithm for Heart Rate Variability Analysis of the Menstrual Cycle

被引：1

作者：

Rawal, Kirti ^{[1
]}

Sethi, Gaurav ^{[1
]}

机构：

[1] Lovely Profess Univ, Phagwara 144411, Punjab, India

来源：

INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS | 2021年 / 21卷 / 03期

关键词：

Filter bank; genetic algorithm; heart rate variability; matched wavelet; menstrual cycle; RR-INTERVAL DATA; AUTONOMIC FUNCTION;

D O I：

10.1142/S0219467821500303

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The matched wavelet is designed in this paper using an improved genetic algorithm for detecting the Heart Rate Variability (HRV) variations within phases of the menstrual cycle accurately. The idea of an improved genetic algorithm is to use an optimization technique like least mean square (LMS) before the genetic algorithm. The advantage of using the LMS prior to the genetic algorithm is to optimize the data before giving to the genetic algorithm, thereby limiting the area of the search for an optimal solution. The results show that matched wavelets created using an improved genetic algorithm can detect the HRV variations accurately in the standing and laying postures.

引用

页数：23

共 43 条

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