Advanced Sensing Techniques in Biomedical Signal Processing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 30 December 2025 | Viewed by 1
Special Issue Editor
Interests: IOTs and wearable devices; biomedical imaging and signal processing; bioelectromagnetism and medical applications; AI-based diagnosis of cardiac/neuro-electrical disorders
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The diagnosis and prognosis of human heart and brain conditions in hospital predominantly rely on biomedical signals and sensor data processing; this medical data is analyzed to inform the study of a patient’s cardiac and neurological health. Currently, more innovative technologies and intelligent systems are required to process a larger volume of medical data and provide a higher quality of healthcare services, enabling the automatic and accurate detection of symptoms of diseases in their early stages.
The aim of this Special Issue is to present the latest innovative research from scholars and experts in the field of electrophysiological signal and image processing using computer pattern recognition and/or deep learning. This includes papers that cover areas such as biomedical engineering, computer vision, and Internet of Things, as well as theoretical and practical aspects of various sensors and information theory in medical image processing.
Original research and review articles for this Special Issue can address topics including, but not limited to, the following:
- ECG/EEG sensing and signal processing;
- Medical image processing for heart or brain imaging;
- Bioinformatics for healthcare engineering;
- Supervised/unsupervised learning algorithm for ECG/EEG diagnosis applications;
- Explainable AI in ECG/EEG applications;
- Image retrieval, segmentation, grouping and shape;
- AI chips and their implantation of machine learning and deep learning algorithms;
- Internet of Things (IOT);
- Applying machine learning-empowered sensing to industrial scenarios
Prof. Dr. Dakun Lai
Guest Editor
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- deep learning
- biomedical imaging
- electrophysiological signal
- heart
- brain
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