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Next-Gen Surgery Assistance with IoT: Real-Time Health Monitoring of ECG, Cardiac Activity, and Neural Responses

Authors: B. Vijayendra Reddy; Dr. Sandeep Kulkarni; Vivek More; Mangesh Patil; Gaurav Punyani;

Next-Gen Surgery Assistance with IoT: Real-Time Health Monitoring of ECG, Cardiac Activity, and Neural Responses

Abstract

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.

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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