Next-Generation AI-Integrated Wearable Biosensors and Systems for Healthcare

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensors and Healthcare".

Deadline for manuscript submissions: 31 March 2027 | Viewed by 109

Special Issue Editors

Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518005, China
Interests: wearable biosensors; gait analysis
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Guest Editor
State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Shenzhen 150001, China
Interests: wearable sensor system; rehabilitation robotics; biosensing system
State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China
Interests: wearable device; human–machine interaction

Special Issue Information

Dear Colleagues,

Artificial intelligence has emerged as a pivotal enabler in advancing wearable biosensing technologies, revolutionizing the processing, analysis and interpretation of biosensing signals for healthcare applications. This Special Issue focuses exclusively on artificial intelligence-Augmented Biosensing and signal processing, seeking original research articles, reviews, system designs and application-driven studies that explore innovative artificial intelligence techniques, emerging signal processing methods and their real-world implementations in wearable systems.

Topics of interest include (but are not limited to):

  • On-device machine learning and edge artificial intelligence for wearable systems
  • Artificial intelligence-driven biosignal noise reduction, feature extraction and multi-biosignal data fusion
  • Gait analysis based on wearable systems
  • Human motion and intention recognition
  • Artificial intelligence-driven upper limb gesture recognition
  • Muscle synergy analysis based on wearable electromyographic signals
  • Artificial intelligence-based cross-modal anomaly robust processing of wearable biosensing signals
  • Deep learning-based feature extraction for wearable EEG signals
  • Artificial intelligence-augmented signal analysis and system modeling for wearable ultrasound devices
  • Prediction of upper and lower limb kinematic and dynamic parameters using wearable biosensing data

Dr. Wujing Cao
Dr. Yixuan Sheng
Dr. Chen Wang
Guest Editors

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

  • wearable device
  • exoskeleton robotics
  • biomedical sensor system
  • intelligent prosthesis
  • rehabilitation robotics
  • human–machine interaction

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Published Papers

This special issue is now open for submission.
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