EEG Signal Processing in Healthcare, Cognitive Neuroscience, and Medical Diagnosis
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 622
Special Issue Editors
Interests: biosignal processing; brain–computer interfaces and wearable devices for movement and brain disorder analysis
Interests: neuroscience; EEG; biomedical engineering; decision support medical systems; biomedical applications
Special Issues, Collections and Topics in MDPI journals
Interests: EEG signal processing and machine learning; particularly in dementia diagnosis; BCI applications; medical image analysis and classification
Special Issue Information
Dear Colleagues,
In recent years, electroencephalography (EEG) has resurfaced as a promising tool for enhancing our understanding of brain function and supporting clinical practice, including the diagnosis of various conditions such as epilepsy and encephalopathy, while being researched for conditions like Alzheimer’s disease. It is also employed in cognitive neuroscience research and healthcare monitoring. With the integration of advanced signal processing techniques and machine learning, it is now widely studied in detecting neurological disorders, monitoring brain health, and understanding cognitive states and behavioural processes.
This Special Issue focuses on the role of EEG signal processing in addressing challenges in medical diagnosis, clinical applications, and cognitive or applied contexts. Beyond traditional medical diagnosis, the scope of this Special Issue also includes cognitive neuroscience applications such as neuroergonomics, affective neuroscience, cognitive workload assessment, decision-making analysis and brain–computer interfaces (BCIs), among other topics. Additionally, automated machine learning and deep learning methodologies for medical diagnosis or evaluation using EEG signals are also integral to the scope.
Papers submitted to this Special Issue should demonstrate novel and innovative applications, covering topics such as the following:
- Machine learning for EEG analysis and artifact removal.
- EEG in clinical diagnosis and healthcare.
- Cognitive neuroscience applications of EEG.
- Brain modeling and network analysis with EEG.
- Advanced signal processing for EEG research.
Dr. Katerina D. Tzimourta
Dr. Alexandros Tzallas
Guest Editors
Dr. Andreas Miltiadous
Guest Editor Assistant
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
- EEG signal processing
- cognitive neuroscience
- medical diagnosis
- brain health monitoring
- brain–computer interfaces
- brain network analysis
- machine learning
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