Founded in 2014, Signal Processing and Biomedical Imaging Lab operates in Advanced Hardware & Technology offering expertise in signal processing, encompassing Wavelet ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

Abstract: Processing biomedical signals using artificial intelligence (AI) algorithms, particularly convolutional neural networks (CNNs), presents challenges for resource-limited systems, such as ...

Abstract: Monitoring the electrical activity of the heart is accomplished with the vital diagnostic tool known as electrocardiography (ECG). Diagnostic accuracy may be compromised, though, by noise ...

This project implements a robust machine learning pipeline to classify emotions (Valence, Arousal, Dominance) using raw EEG signals from the DREAMER dataset. It features an end-to-end processing chain ...

Advancing healthcare, needle-free diagnostics employ wearable biosensors for noninvasive testing, ensuring rapid results and broader access to care.

The field of electrochemical sensing is undergoing transformative change as advances in nanotechnology and artificial intelligence (AI) come together to ...

Biotechnology is a broad discipline in which biological processes, organisms, cells or cellular components are exploited to develop new technologies. New tools and products developed by ...