Applications of AI in Non-Invasive Biosensing Technologies
A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensor and Bioelectronic Devices".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 16
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue explores the transformative synergy between artificial intelligence (AI) and non-invasive biosensing, addressing the critical need for intelligent, real-time monitoring of physiological and neurocognitive states. Beyond traditional health monitoring, AI-powered analysis of Electroencephalography (EEG), functional Near-Infrared Spectroscopy (fNIRS), Electrocardiography (ECG), and Electromyography (EMG) signals now enables emotion recognition, motor imagery decoding, and brain–computer interfaces through sophisticated interpretation of complex biosignals. Recent advances in wearable biosensors generate high-dimensional data streams that demand advanced computational approaches for artifact removal, feature extraction, and predictive modeling in naturalistic settings.
We invite researchers to submit original research articles and reviews that address, but are not limited to, the following topics:
- AI-driven signal processing and data fusion from neurophysiological biosensors;
- Deep learning for decoding motor imagery signals of non-invasive biosensors;
- Deep learning for classifying emotion signals of non-invasive biosensors;
- Transfer learning for non-invasive biosensing brain–computer interface development;
- Explainable AI models for neurocognitive state interpretation;
- Transfer learning addressing subject variability in biosignal patterns;
- Non-invasive biosensing applications spanning clinical neurology, affective computing, and human–computer interaction.
Suitable submissions include original research on AI-enabled neurophysiological sensing systems, algorithm validation with open datasets, comprehensive reviews of AI applications in specific modalities (EEG/fNIRS/ECG/EMG), and translational studies demonstrating real-world efficacy. We particularly encourage work on non-invasive biosensing signal decoding, benchmark dataset creation, cross-subject solutions, cross-modal learning strategies, and robust model deployment in unconstrained environments.
Dr. Xin Zhang
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biosensors is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 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
- artificial intelligence
- EEG
- fNIRS
- brain–computer interface
- ECG
- EMG
- non-invasive biosensing
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
