The Biomedical Signal Processing section publishes theoretical and applied research on the application of signal processing to the analysis and interpretation of biological signals such as ECG, EEG, ...

Nishit Agarwal exemplifies excellence in Biomedical AI and Signal Processing with extensive experience in developing cutting-edge clinical AI solutions and biomarker development. His expertise spans ...

Abstract: The primary focus of this paper review is to summarize the most important facts and findings regarding the use of Artificial Intelligence (AI) in the modeling, processing and analysis of ...

Abstract: Biomedical signal processing plays a vital role in analyzing and interpreting signals obtained from various physiological processes. With the advent of machine learning techniques, ...

At today’s International Solid-State Circuit Conference (ISSCC2011), imec, Holst Centre and NXP present a versatile ultra-low power biomedical signal processor, CoolBio™, meeting the requirements of ...

This paper presents a novel hybrid framework that integrates Zero-Phase filtering (ZP) with adaptive Least Mean Squares (LMS) filtering to enhance noise reduction in signal generation and processing ...

This repository has been lightly modernized to run on current Python environments (Python 3.11) while preserving the original algorithmic logic from 2011. Key updates include: Environment pins: ...