Modified Weibull distribution for Biomedical signals denoising

TL;DR

This paper introduces a modified Weibull distribution to improve denoising of biomedical signals like EEG and ECG, aiding medical diagnosis and research.

Contribution

The paper proposes a novel modified Weibull distribution model specifically designed for denoising various biomedical signals, enhancing signal clarity for medical analysis.

Findings

Improved denoising performance on biomedical signals

Enhanced signal-to-noise ratio in EEG and ECG data

Potential for better disease diagnosis and monitoring

Abstract

A wide range of signs are acquired from the human body called Biomedical signs or biosignals, they can be at the cell level, organ level, or sub-atomic level. Electroencephalogramis the electrical activity from the cerebrum, the electrocardiogram is the electrical activity from the heart, electrical action from the muscle sound signals referred to as electromyogram, the electroretinogram from the eye, and so on. Studying these signals can be so helpful for doctors, it can help them examine and predict and cure many diseases.