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The increasing demand for advanced healthcare solutions has led to the integration of IoT in medical systems. This paper introduces a novel IoT-based health monitoring and surgery assistance system that combines ECG signal monitoring, heartbeat tracking, and nervous system analysis to assess overall health conditions. The system utilises wearable medical devices and an IoT architecture to deliver real-time data, facilitating remote patient monitoring and supporting surgical procedures. Key features include online health condition display accessible from anywhere and innovative device integration for seamless tracking. Experimental results demonstrate the systems high accuracy and real-world applicability, offering a transformative approach to modern healthcare.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |