Biomedical analysis of Heart Rate Variability (HRV) of fetus relationship with various umbilical artery blood measurements. Correlation analysis and machine learning techniques are applied to detect ...

This project is for Electrocardiogram(ECG) signal algorithms design and validation, include preprocessing, QRS-Complex detection, embedded system validation, ECG ...

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 ...

Pancreatic ductal adenocarcinoma is a highly aggressive malignancy with a poor prognosis, where accurate prediction of tumor resectability is critical for optimizing treatment strategies. Existing ...

Signal processing is a multidisciplinary field concerned with the analysis, transformation, and interpretation of signals—functions that convey information about physical phenomena. At its core, ...

The bregr package provides a streamlined, modular workflow for batch regression modeling. The process begins with installation and initialization, followed by core modeling steps such as setting ...

This course focuses on hands-on skills of electrical circuit analysis, electronics, and signal processing designed for biomedical engineering students. This is the first course in the biomedical ...

The Biomedical Geospatial Analytics and Modeling Lab (BioGeo Lab), led by Dr. Oluyomi, is organized across several Baylor entities, including the Epidemiology and Population Sciences (EPS), the Gulf ...