ECG Signal Analysis based on the Spectrogram and Spider Monkey Optimisation Technique

被引：2
作者：
Gupta V. [1 ]
Mittal M. [2 ]
Mittal V. [3 ]
Diwania S. [1 ]
Saxena N.K. [1 ]
机构：
[1] Department of Electrical and Electronics Engineering, KIET Group of Institutions, Delhi-NCR, Ghaziabad
[2] Department of Electrical Engineering, National Institute of Technology, Kurukshetra
[3] Department of Electronics and Communication Engineering, National Institute of Technology, Kurukshetra
来源：
Journal of The Institution of Engineers (India): Series B | 2023年 / 104卷 / 01期
基金：
英国科研创新办公室;
关键词：
Digital bandpass filter; Electrocardiogram; Health care; Heart; Spectrogram; Spider monkey optimisation technique;
D O I：
10.1007/s40031-022-00831-6
中图分类号：
学科分类号：
摘要：
Heart is responsible for circulation of the blood throughout the human body. The conduction of the heart is nonlinear in nature and hence needs appropriate utilisation of technological advancements. The activity of the heart is assessed through an electrocardiogram (ECG) signal that consists of three different types of waves viz. P-wave, QRS-wave (also called QRS complex), and T-wave. But these waves are non-stationary, and hence, investigation of effective tools is essential for their accurate analysis. In this paper, the spectrogram technique is proposed to be used for feature extraction to analyse different segments of heartbeats (energy change) through colour contrasts of various frequency components with respect to time unlike the existing techniques where it was not possible. The features are extracted after the pre-processing accomplished using a digital bandpass filter (DBPF). The extracted features are further proposed to be optimised using the spider monkey optimisation technique due to its acclaimed effectiveness in solving the real-world optimisation problems. The robustness of the proposed methodology is established in fulfilling the ever-increasing demand of modern health care. © 2023, The Institution of Engineers (India).
引用
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页码：153 / 164
页数：11
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