IOMT-Based Health Monitoring System using Raspberry Pi Pico

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.

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2024-12-30
DOI
https://doi.org/10.55041/ijsrem40367
Citations
1
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.21
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article

IOMT-Based Health Monitoring System using Raspberry Pi Pico

Anusha Mood, Srujana Vedma, Teja Mangali, U. Somanaidu
1 citations
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
IoT-based Smart Home Systems
0.21
article

IOMT-Based Health Monitoring System using Raspberry Pi Pico

Anusha Mood, Srujana Vedma, Teja Mangali, U. Somanaidu
article en
1 citations

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.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 08(12)
International Institute of Information Technology, Hyderabad (IN)
Openalex Percentile: Top 44%
IoT-based Smart Home Systems
0.21
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IOMT-Based Health Monitoring System using Raspberry Pi Pico — Anusha Mood, Srujana Vedma, et al. · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) | TGRS Research Map | TGRS