Optimized ECG Signal Compression and Security for Efficient Cardiac Abnormality Detection

Protecting biological data during dissemination, this ECG waves, is becoming more important, and this work is relevant to that requirement. It is of the extreme importance to guarantee the security of transferred medical information as the amount of data sent over the web continues to rise. It proposes a watermarking approach for compressing the ECG waves in addition to securing the information. By including subject information in ECG waves in a way that doesn't change their diagnostic usefulness, watermarking makes signal blocking possible. The frequency region and the domain of space are the two primary categories of watermarking methods. Improving signal quality to accept watermarking is also covered in the chapter using the Fourier Decomposition Method (FDM). In a setting with a large amount of ECG information moving around, FDM is used to accomplish realistic data compression as well, which is similar to decoding. This prevents the expansion of storage and bandwidth requirements while yet achieving a viable signal. The proposed technique beats its predecessors in relations of SNR, PRD, and compression coefficient, as shown by simulation results. As a whole, this approach improves the security of ECG signals and data minimisation for hospitals that are handled electronically.