Real-Time Health Surveillance System for Paralyzed Patients using IoT and Smart Sensors

This system is programmed to offer holistic care to paralysis patients through the integration of symptom monitoring, medical treatment support, and rehabilitation support utilizing IoT technology. The proposed system consists of networked devices like sensors, wearables, and a web application that communicate with each other and healthcare providers. The flex sensors monitor patient movements, the AD8232 ECG sensor monitors cardiac activity, the MPU6050 monitors falls, and a temperature sensor offers body temperature monitoring. Information is transmitted wirelessly via an ESP8266 Wi-Fi module to a Node-RED dashboard, enabling real-time visualization and instant notifications. The system offers rehabilitation exercises, medication and activity reminders, and health data collection for analytics. Smart algorithms allow healthcare providers to detect behavioral patterns, enabling customized interventions and treatment plans. This IoT-based system offers customized, real-time healthcare, enhancing treatment outcomes and quality of life for paralysis patients.

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Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1109/icicv64824.2025.11085798
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
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article

Real-Time Health Surveillance System for Paralyzed Patients using IoT and Smart Sensors

Anthony Varghese, P. Murali, A Adarsh, N. Deepa et al.
IoT and Edge/Fog Computing
article

Real-Time Health Surveillance System for Paralyzed Patients using IoT and Smart Sensors

Anthony Varghese, P. Murali, A Adarsh, N. Deepa, Hudaif Abdul Hameed Neroth
article en

Abstract

This system is programmed to offer holistic care to paralysis patients through the integration of symptom monitoring, medical treatment support, and rehabilitation support utilizing IoT technology. The proposed system consists of networked devices like sensors, wearables, and a web application that communicate with each other and healthcare providers. The flex sensors monitor patient movements, the AD8232 ECG sensor monitors cardiac activity, the MPU6050 monitors falls, and a temperature sensor offers body temperature monitoring. Information is transmitted wirelessly via an ESP8266 Wi-Fi module to a Node-RED dashboard, enabling real-time visualization and instant notifications. The system offers rehabilitation exercises, medication and activity reminders, and health data collection for analytics. Smart algorithms allow healthcare providers to detect behavioral patterns, enabling customized interventions and treatment plans. This IoT-based system offers customized, real-time healthcare, enhancing treatment outcomes and quality of life for paralysis patients.

SRM Institute of Science and Technology (IN)
Openalex Percentile: Top 80%
IoT and Edge/Fog Computing
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Real-Time Health Surveillance System for Paralyzed Patients using IoT and Smart Sensors — Anthony Varghese, P. Murali, et al. · (2025) | TGRS Research Map | TGRS