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Current Medical Imaging

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ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

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Review Article

Current Trends in Feature Extraction and Classification Methodologies of Biomedical Signals

Author(s): Sachin Kumar, Karan Veer* and Sanjeev Kumar

Volume 20, 2024

Published on: 02 May, 2023

Article ID: e090323214502 Pages: 15

DOI: 10.2174/1573405619666230309103435

open_access

Abstract

Biomedical signal and image processing is the study of the dynamic behavior of various bio-signals, which benefits academics and research. Signal processing is used to assess the behavior of analogue and digital signals for the assessment, reconfiguration, improved efficiency, extraction of features, and reorganization of patterns. This paper unveils hidden characteristic information about input signals using feature extraction methods. The main feature extraction methods used in signal processing are based on studying time, frequency, and frequency domain. Feature exaction methods are used for data reduction, comparison, and reducing dimensions, producing the original signal with sufficient accuracy with a structure of an efficient and robust pattern for the classifier system. Therefore, an attempt has been made to study the various feature extraction methods, feature transformation methods, classifiers, and datasets for biomedical signals.

Keywords: Feature extraction method, Feature transformation, Classifier, Datasets, Biomedical Signals, Image processing.

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