Intelligent Biosignal Sensing and AI-Driven Analysis for Healthcare (EEG, ECG, PPG, MEG, MRI)
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 25 March 2026 | Viewed by 3
Special Issue Editors
Interests: analog and digital electronics; reconfigurable architecture; embedded systems; system-level design
Special Issues, Collections and Topics in MDPI journals
Interests: brain-computer interface systems; EEG signal processing
Special Issue Information
Dear Colleagues,
Recent advances in biosignal sensing, artificial intelligence (AI), and embedded systems have transformed modern healthcare, enabling unprecedented progress in diagnostics, rehabilitation, and personalized medicine. This Special Issue seeks to showcase cutting-edge research on intelligent methods for biosignal acquisition, processing, and interpretation, with a focus on AI-driven techniques applied to EEG, ECG, PPG, MEG, and MRI data. We welcome high-quality contributions addressing novel sensing technologies, advanced signal/image processing, deep learning architectures, explainable AI (XAI), TinyML for edge computing, and FPGA-based embedded systems tailored for real-time biomedical applications. Topics of interest include wearable sensors, brain–computer interfaces (BCIs), cardiac monitoring, neuroimaging, and AI-powered diagnostic tools for neurological disorders.
Prof. Dr. Carlos Valderrama
Prof. Dr. Ridha Djemal
Guest Editors
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Keywords
- biosignal processing
- EEG/ECG/PPG/MEG/MRI analysis
- machine learning and deep learning
- explainable AI (XAI) in healthcare
- TinyML for edge computing
- FPGA and embedded systems
- wearable sensors
- brain–computer interfaces (BCIs)
- healthcare monitoring
- medical image processing
- neurological disorder diagnosis
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