Advancements and Future Prospects of Sensing Technologies for Health Monitoring and Sports Performance

Dear Colleagues,

Sensing technologies are undergoing transformative advancements, revolutionizing approaches to both personalized health monitoring and athletic performance optimization. This progress delivers unprecedented capabilities for capturing intricate physiological and biomechanical data continuously and non-invasively.

Modern wearable biosensors—integrated into smartwatches, fitness bands, and smart textiles—enable the continuous tracking of vital parameters (e.g., heart rate, SpO₂, temperature, motion). These devices leverage wireless connectivity and cloud-based analytics to facilitate real-time data sharing, enabling personalized feedback from healthcare providers and coaches. Recent innovations include flexible/stretchable electronics for enhanced comfort and accuracy, alongside novel non-invasive modalities like sweat biomarker analysis and advanced photoplethysmography. Crucially, Artificial Intelligence (AI) and Machine Learning (ML) algorithms are now essential for interpreting complex, multi-parametric datasets, driving early anomaly detection in health contexts and optimizing training load/technique for athletes. Integration with mobile health platforms and telemedicine significantly broadens accessibility and user engagement.

The Special Issue ‘Advancements and Future Prospects of Sensing Technologies for Health Monitoring and Sports Performance’ directly addresses the core scope of Sensors by focusing on cutting-edge developments across multiple sensor domains critical to these fields.

This topic inherently involves wearable sensors and biomedical sensors (e.g., integrated into smart textiles and devices), biosensors (for physiological markers), and chemical sensors (e.g., for sweat biomarker analysis). It explores non-invasive modalities like photoplethysmography and lab-on-a-chip concepts, aligning with the journal's emphasis on novel sensing principles and applications. The critical role of signal processing and data fusion is highlighted through the use of AI/ML algorithms for interpreting complex, multi-parametric datasets from sensor arrays, enabling anomaly detection and performance optimization.

This Special Issue thus provides a comprehensive platform for research spanning physical, chemical, and biosensor technologies, their materials, interfaces, signal processing, networking, and transformative applications in health and sports science, perfectly fitting the multidisciplinary aims of Sensors.

Prof. Joanne Yip
Dr. Ka-Po Lee
Guest Editors

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