Healthcare Monitoring System Using IoT for Paralysis Patients with Alert Mechanism

Abstract

The increasing prevalence of paralysis and mobility-related disorders has created a strong demand for continuous healthcare monitoring systems, with neurological disorders affecting millions globally and nearly 60% of patients requiring constant assistance, while IoT-based healthcare solutions are projected to grow at over 20% annually. Traditional patient care relies heavily on manual observation and periodic monitoring, which may fail to detect sudden health deterioration, falls, or emergency conditions in time. Furthermore, conventional systems lack real-time alerts, remote accessibility, and interactive assistance features, reducing their effectiveness in supporting paralysis patients. To address these challenges, the proposed IoT-based health assistance system for paralysis patients utilizes the ESP32 microcontroller to develop an intelligent and wearable healthcare solution. The system integrates DHT11 sensors for temperature and humidity monitoring, SpO2 sensors for blood oxygen level measurement, vibration sensors for fall detection, and flex sensors to capture patient movements or specific gestures. When abnormal conditions or predefined triggers are detected, the system activates a voice module to alert nearby caregivers and simultaneously sends real-time notifications through an IoT platform for remote monitoring. This smart system enhances patient safety, enables rapid emergency response, improves caregiver support, and provides a scalable and efficient solution for modern assistive healthcare applications.