Wearable and AI-Driven Sensing for Brain Disorders: From Digital Biomarkers to Clinical Translation
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 309
Special Issue Editors
Interests: human motion; human locomotion; human–robot interactions and collaboration; medical devices; neuro-rehabilitation of patients suffering from motor problems by means of bio-inspired robotics and neuroscience technologies
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the 21st century, brain health has become central to human wellbeing and productivity. As societies shift toward knowledge-based and cognitively demanding activities, maintaining optimal brain function is essential for both individual health and societal sustainability. Consequently, there is an urgent need to strengthen research on brain disorders—including neurodegenerative diseases (e.g., Parkinson’s disease), mental health conditions (e.g., depression), and neurological disorders (e.g., stroke)—which pose major global challenges due to their increasing prevalence and socioeconomic burden.
Recent advances in wearable sensing technologies and artificial intelligence (AI) offer transformative opportunities for understanding and managing brain disorders. Wearable sensors enable continuous, non-invasive, and objective monitoring of behavioral and physiological functions in daily life, capturing subtle functional changes beyond the limits of traditional clinical assessments. When combined with AI-driven analytics, these technologies pave the way for early diagnosis, personalized therapeutic strategies, and remote, continuous care.
This Special Issue aims to present and disseminate the most recent original research and comprehensive reviews related to wearable sensor systems and AI-based methods applied to brain disorders. We welcome contributions that demonstrate the clinical applicability of wearable sensors, integration with AI for diagnostic or therapeutic purposes, and evidence-based validation in patient populations and real-world contexts.
Topics of interest for publication include, but are not limited to, the following:
- hardware design and innovation;
- signal processing;
- digital biomarkers;
- data privacy and ethics;
- human–technology interaction;
- AI-based modeling;
- clinical validation;
- real-world translation
Dr. Cristina P. Santos
Guest Editor
Dr. Cristiana Filipa Sampaio Pinheiro
Guest Editor Assistant
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Keywords
- artificial intelligence
- brain disorders
- continuous monitoring
- digital biomarkers
- early diagnosis
- personalized therapies
- wearable sensors
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