Time-Frequency Analysis of ECG Signal

Title

Time-Frequency Analysis of ECG Signal

Creator

Jain, Divya; Tiwari, Vibha; Tiwari, Akshra; Khare, Suyash

Description

Time-frequency analysis (TFA), especially well suited for biomedical applications, is a potent method for deciphering non-stationary signals, where frequency characteristics vary with time. These dynamic signals are too complex for conventional frequency analysis approaches, which calls for sophisticated techniques like the discrete wavelet transform, continuous wavelet transform, and short-time Fourier transform. This research focuses on the uses of TFA techniques in biomedical signal processing and how well they expose transitory phenomena and temporal patterns that are missed by conventional methods. In particular, we look at how TFA is applied to the analysis of electrocardiogram (ECG) signals. The chapter discusses baseline wander, notch filtering, and low-pass filtering as crucial pre-processing techniques for clean ECG readings. Furthermore, we present the symbolic aggregate approximation paradigm for effective data retrieval and storage. 2026 selection and editorial matter, Ganesh R. Naik.

Source

Time-Frequency Analysis in Biomedical Engineering: Contemporary Methods and Applications;pp.37-58

Date

01-01-2026

Publisher

CRC Press

Coverage

Jain D., Oriental College of Technology, Madhya Pradesh, Bhopal, India; Tiwari V., Centre for Artificial Intelligence, Madhav Institute of Technology and Science, Deemed University Gwalior, Madhya Pradesh, India; Tiwari A., School of Sciences, Christ University, Delhi, India; Khare S., Centre for Artificial Intelligence, Madhav Institute of Technology and Science, Deemed University, Gwalior, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 978-104056627-5; 978-104100745-6;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1201/9781003611448-4

https://www.scopus.com/pages/publications/105037895207?origin=resultslist