Integrating IoT Data from Medical Devices for ‘Real-Time Health Monitoring Systems
Keywords:
monitoring, transmission, assessing, Absolute, utilizingAbstract
The incorporation of IoT data from medical devices introduces an innovative approach to "real-time health monitoring systems." This study examines the effectiveness, precision, and user experience of an integrated health monitoring system utilizing three widely adopted medical devices: pulse oximeters, blood glucose meters, and heart rate monitors. The results of the investigation indicated that the pulse oximeter and heart rate monitor exhibited Mean Absolute Errors (MAEs) of 1% and 1 bpm, respectively, while the blood glucose meter demonstrated an MAE of 2 mg/dL, showcasing remarkable accuracy for clinical use. The response times significantly increased from 50 ms under optimal conditions to 300 ms in less favorable situations, with data transmission rates declining from 1000 kbps to 100 kbps when assessing the system's performance across various network scenarios. Nonetheless, the system achieved an impressive uptime of 95.0%, even in bandwidth-limited environments. User satisfaction metrics revealed that healthcare professionals expressed positive feedback, scoring an average of 4.5 for usability and 4.6 for overall satisfaction. These research findings underscore the potential of IoT data integration to improve patient outcomes and enhance healthcare delivery through effective real-time health monitoring.
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