Innovative IoT Devices in Biomedical Monitoring: From Design to Application
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 87
Special Issue Editors
Interests: embedded systems; wireless sensor networks; Internet of Things; middleware design; internet of things; biomedical devices
Interests: medical image analysis; computer-aided diagnosis; imaging-enabled IoT; biomedical electronic instrumentation; rehabilitation technologies
Special Issue Information
Dear Colleagues,
The convergence of Internet of Things (IoT) technologies and biomedical monitoring is revolutionizing healthcare through real-time, continuous, and personalized assessment. Advances in miniaturized sensors, wireless communication, and intelligent edge computing enable the development of next-generation wearable, implantable, and ambient devices for health tracking and diagnostics. This Special Issue will highlight innovative contributions spanning device design, AI-driven data processing, and clinical applications of biomedical IoT systems. Authors are invited to submit original research articles and comprehensive reviews on topics including, but not limited to, the following:
- Design and fabrication of biomedical IoT devices and sensors;
- Wearable, implantable, and epidermal monitoring systems;
- Imaging-enabled IoT for health (smartphone/handheld; camera- and optics-based sensing);
- Wireless body area networks (WBANs) for healthcare;
- Edge, fog, and cloud computing in biomedical IoT systems;
- Artificial intelligence and machine learning for physiological signal and biomedical image analysis;
- Sensor fusion, calibration, and multimodal data integration;
- IoT-based telemedicine and remote patient monitoring.
Dr. Eduardo Cañete-Carmona
Dr. Aurora Sáez
Guest Editors
Manuscript Submission Information
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Keywords
- Internet of Things
- biomedical monitoring
- wearable sensors
- artificial intelligence
- physiological signal analysis
- biomedical image analysis
- telemedicine and remote monitoring
- biomedical data analytics
- smart healthcare systems
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