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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM40367

IOMT-Based Health Monitoring System using Raspberry Pi Pico

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM40367

Volume:

8 |

12 |

Dec 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM40367

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AM

Anusha Mood

TM

Teja Mangali

SV

Srujana Vedma

U

U.Somanaidu

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Abstract

An IoMT-based health monitoring system for coma patients ensures a secure environment by continuously tracking vital signs. It uses sensors such as heart rate, temperature, and vibration sensors to monitor the patient’s condition. The system provides real-time data, allowing healthcare professionals to respond quickly to any critical changes. This approach enhances patient safety by enabling remote monitoring. The goal is to improve care for patients who cannot communicate their needs.IOMT based health monitoring system employ wearable sensors and medical devices to continuously collect and transmit real-time physiological data from patients.This data is securely transmitted to cloud servers for storage and analysis.Healthcare providers access insights through specialized platforms,enabling remote monitoring and personalized patient care.Challenges include data security and regulatory compliance,yet these systems promise improved patient outcomes,enhanced efficiency, and grater patient engagement in healthcare management.

KEYWORDS

NodeMCU ESP32 IoT Temperature sensor vibration sensor pulse sensor GSR sensor blynk app.

Cite This Article

Anusha Mood, Teja Mangali, Srujana Vedma, U.Somanaidu, "IOMT-Based Health Monitoring System using Raspberry Pi Pico," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 12, Dec 2024. https://doi.org/10.55041/IJSREM40367

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Publication Date

1/31/2025

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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