Electroencephalogram/Electromyogram-Based Sensing Technologies for Biomedical Applications: Challenges and Possible Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 61
Special Issue Editors
Interests: EEG; EMG; neural–machine interface technology; neural activity detection
Interests: biosignal processing; feature selection and feature space reduction; human activity recognition; real-time recognition systems; knee bandage; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: brain–computer interfaces and neurorehabilitation applications
Interests: EEG; eye tracking; disease recognition
Interests: robots for stroke rehabilitation; brain–computer interface; haptic feedback
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As two of the most common electrogram techniques, electroencephalogram (EEG) and electromyogram (EMG), that record the electrical activity of cortical neurons and muscle fibers, respectively, have been in use for about 100 years. Despite their longevity, EEG/EMG technology remains active in research across multiple areas, including medical diagnosis, neural–machine interface, physical/cognitive function assessment, and rehabilitation. In particular, the recent emergence of new materials, fabrication techniques, and information processing methods has revitalized the application of EEG/EMG technology in many fields. The development of flexible sensors has made it possible for devices to be wearable like clothing. The miniaturization, lightweighting, and integration of signal acquisition devices have led to the development of multimodal and high-density signal acquisition. The massive increase in information has also posed a huge challenge to signal processing techniques, and artificial intelligence and deep learning have shown great potential in this area, driving the application of EEG/EMG technology in various new fields.
Therefore, this Special Issue aims to collate original research and review articles focused on recent advances, technologies, solutions, applications, and new challenges in EEG/EMG-based sensing technologies for biomedical applications.
Dr. Yang Zheng
Dr. Hui Liu
Dr. Jun Xie
Dr. Lili Li
Dr. Min Li
Dr. João Rodrigues
Guest Editors
Manuscript Submission Information
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Keywords
- electroencephalogram
- electromyogram
- biomedical engineering
- sensors
- signal processing
