Wearable and Textile-Integrated Sensors with Edge AI for Health, Sports and Remote Care
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Bioelectronics".
Deadline for manuscript submissions: 15 July 2026 | Viewed by 1
Special Issue Editors
Interests: CV; NLP; LLM; RAG; telemedicine; AI; ML; Edge AI; TinyML
Special Issues, Collections and Topics in MDPI journals
Interests: energy-efficient embedded and parallel computing systems; smart sensing microsystems; machine-learning hardware; edge-AI platforms for wearable biosignal acquisition and processing (BioGAP/BioGAP-Ultra)
Interests: mobile health (mHealth); AI and edge-AI for healthcare; wearable and implantable biosensors; low-power sensing and communication for medical IoT; digital medicine and digital therapeutics
2. Biomedical Signal Processing, Imperial College London, London, UK
Interests: biomedical and neural signal processing (EEG, ECG, EMG and multimodal biosignals); body sensor networks and wearable/implantable sensors; machine learning and deep learning for brain–computer interfaces; epilepsy and sleep-disorder detection; and other clinical decision-support systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Special Issue will focus on wearable and textile-integrated sensor systems that employ edge artificial intelligence for real-time monitoring of health, fitness and human performance. Particular attention will be given to solutions that operate reliably in demanding environments (e.g., aquatic and outdoor conditions) and support user-centric applications ranging from elite sport to everyday physical activity and remote healthcare.
We invite contributions spanning the full technology stack, e.g., advanced sensors and smart textiles, flexible and stretchable electronics, low-power communication and embedded processing, edge-/cloud-AI algorithms (including TinyML), data fusion, signal processing and personalization, user experience, human–system interaction and validation in real-world trials. While inspired by current European efforts on integrated ecosystems of smart textiles, wearable biosensors and edge/cloud AI for multi-sport training and remote healthcare, the Special Issue is not restricted to any single project or region and is open to global perspectives, methods and applications.
The purpose of this topical collection is to showcase recent advances in materials, devices, architectures and algorithms that make continuous, unobtrusive and trustworthy monitoring of physiological, biomechanical and biochemical parameters possible; bridge the communities working on electronics, materials, AI, sports science and digital health and highlight translational pathways from laboratory prototypes to scalable products, services and clinical or field deployment. We particularly welcome multidisciplinary studies that combine technology innovation with user-driven design, ethics, privacy, security and regulatory considerations.
There is already a substantial body of literature on wearable sensors and IoT health monitoring, on smart textiles and flexible electronics and on edge/embedded AI. However, these topics are often treated in isolation: device-level work may not address AI and data governance. AI-centric papers frequently assume idealized sensing conditions and application-oriented studies commonly rely on commercial black-box devices. This Special Issue will fill that gap by emphasizing integrated, cross-layer approaches that jointly consider sensing materials, system design, edge–cloud computation, data quality, interoperability and user acceptance, including operation in harsh and aquatic environments. In this way, it aims to provide a coherent reference collection that complements and extends existing Special Issues in electronics, sensors, AI and e-health and can serve as a benchmark for future R&D and standardization efforts in this rapidly evolving field.
Dr. Krzysztof Wolk
Prof. Dr. Luca Benini
Dr. Jeong-hoon Lee
Prof. Dr. Saeid Sanei
Guest Editors
Manuscript Submission Information
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Keywords
- wearable sensors
- smart textiles
- textile-integrated electronics
- edge AI
- TinyML
- edge–cloud continuum
- flexible and stretchable electronics
- biosignal monitoring
- sweat and biochemical sensing
- multisport training
- aquatic and harsh environments
- Internet of Medical Things (IoMT)
- remote healthcare
- rehabilitation and prevention
- human-centered design
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