Special Issue "Electroencephalogram Data Research Using Artificial Intelligence Technologies for Healthcare"
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (15 February 2023) | Viewed by 13657
Special Issue Editors
Interests: artificial intelligence; signal processing; EEG research

Interests: array signal processing; wireless sensor network; MIMO radar
Special Issues, Collections and Topics in MDPI journals

Interests: biomedical signal processing; artificial intelligence (AI); data mining; detection of neurological diseases from EEGs; brain–computer interface (BCI)
Special Issues, Collections and Topics in MDPI journals
Interests: data mining; data analytics; health informatics
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) technologies have been widely applied in different areas in the recent decade. Particularly, the field of Electroencephalogram (EEG) Data Research and Healthcare Applications shows encouraging signs that AI is being increasingly considered for monitoring and predictive applications. EEG data analysis contains several challenges, including unwanted signal removing from raw EEG data; data processing, feature extraction and build classification model for abnormality recognition. The model building based on EEG is not robust in different cases for recognition of abnormalities. Although the automation of diagnosis procedures based on EEG data for various healthcare problems may help in improving patient care and overall healthcare, clinicians still play a significant role in understanding complex medical data for the diagnosis of diseases. Therefore, significant research is necessary to explore how AI technologies can be applied in human-brain signal analysis and healthcare applications to improve detective and predictive performance and support clinical diagnosis. Handling big data issues in EEG data processing is also necessary to explore in healthcare research.
This Special Issue will provide a forum for high-quality contributions in modeling, design, and application of AI to all aspects of Electroencephalogram Data research and Healthcare Applications.
Dr. Tianning Li
Prof. Dr. Xianpeng Wang
Dr. Siuly Siuly
Dr. Xiaohui Tao
Guest Editors
Manuscript Submission Information
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Keywords
- Electroencephalography
- Signal processing
- Healthcare applications
- Artificial intelligence in EEG research
- Machine learning techniques in EEG data analysis
- Application of deep learning techniques
- AI methods in health and medicine
- Medical data mining and data analysis
- Computer-aided diagnosis systems