Advances in Wearable Electroencephalography Sensor Technology
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".
Deadline for manuscript submissions: 1 December 2025 | Viewed by 96
Special Issue Editors
Interests: computational neuroscience; time-series; data quality; machine learning; AI; EEG; brain-computer interface; BCI
Interests: radiation effects in CMOS transistors; total ionizing dose in electronics; reliability of devices; nanometer-scale semiconductor technologies; electrochemical sensors; capacitive sensors; biodevices
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Electroencephalography (EEG) has long been a cornerstone of neurophysiological monitoring and brain–computer interface (BCI) systems. With the rise of wearable technologies and the demand for continuous real-world monitoring, wearable EEG sensors are undergoing rapid innovation. Advances in materials science, electronics, signal processing, and AI are enabling the development of more compact, comfortable, and high-resolution EEG systems suitable for ambulatory use across healthcare, neuroscience, cognitive research, and consumer applications.
This Special Issue aims to gather original research and review articles that address the latest developments, breakthroughs, and challenges in wearable EEG sensor technologies. We particularly welcome contributions exploring novel sensor designs, EEG integration with wireless platforms, energy-efficient signal acquisition, artifact reduction, real-time analysis, and diverse applications in clinical and non-clinical settings. We especially encourage submissions focused on the development of non-obtrusive, user-friendly, and ecologically valid EEG devices designed for non-expert populations, such as elderly individuals, to support widespread and inclusive adoption.
Topics of interest include, but are not limited to, the following:
- Flexible, dry, and textile-based EEG electrodes;
- Ear-EEG;
- Wireless and wearable EEG-based BCI systems;
- Artifact removal and signal enhancement for mobile EEG;
- EEG-based mental health and neurological monitoring;
- Multi-modal sensor integration with EEG;
- AI and edge computing for EEG data analysis;
- Neurofeedback and cognitive state monitoring using wearable EEG;
- EEG applications in sleep, emotion, and attention tracking;
- Standardization, privacy, and ethics in wearable EEG.
We invite contributions that push the boundaries of wearable EEG technology and pave the way for future neurotechnological applications.
Dr. Giulia Cisotto
Dr. Stefano Bonaldo
Guest Editors
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
- wearable EEG
- neurological monitoring
- brain-computer interface
- real-time monitoring
- sleep monitoring
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