Demystifying the Applications of Wavelet Transform in Bio Signal and Medical Data Processing

Wavelet transforms have revolutionized bio signal and medical image processing by providing powerful tools for analysis and feature extraction. This article aims to demystify the applications of wavelet transforms in these domains, focusing on the DWT and WPT. These transforms allow for localized representation of signals and images in both time and frequency domains, enabling detailed analysis and relevant information extraction. In bio signal processing, wavelet transforms are used for denoising, feature extraction, and classification of ECG, EEG, and other bio signals. In medical image processing, wavelet transforms find applications in denoising, compression, image fusion, and segmentation, leading to improved analysis and diagnosis. The article provides an overview of these applications, highlighting advantages and presenting specific examples and results. Wavelet transforms have great potential in bio signal and medical image processing, driving healthcare and biomedical research advancements.