Sensing Technologies for Mobile Health Monitoring

Dear Colleagues,

Recent advances in sensing technologies, mobile computing, and embedded AI systems have transformed the landscape of digital health. Wearable devices, smartphones, and ambient sensors now enable continuous, real-world monitoring of physiological, behavioral, and environmental patterns at an unprecedented scale. These sensing systems provide valuable opportunities for early disease detection, personalized intervention, remote healthcare, and population-level health analytics. Yet significant challenges remain, including multimodal data integration, signal quality and reliability, algorithmic robustness in real-world conditions, privacy preservation, and clinical validation.

This Special Issue welcomes original research and reviews that advance the development, integration, and application of sensing technologies for mobile health monitoring. Topics of interest include, but are not limited to, the following:

• Physiological, behavioral, and environmental sensing;
• Wearable and smartphone-based health analytics;
• Multimodal signal processing and data fusion;
• Mobile sensing for mental and physical health assessment;
• Machine learning and AI for real-world health monitoring;
• Privacy, security, and ethical considerations;
• Clinical translation and validation of mobile sensing systems.

Dr. Yuezhou Zhang
Guest Editor

Manuscript Submission Information

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