IOT Based Paralysis Patient Health Care System

Abstract - Paralysis patients often face severe difficulties in communicating their needs and receiving timely medical attention, which can lead to critical health risks. To address this challenge, we propose an IoT-based healthcare monitoring and assistance system designed specifically for paralytic patients. The system integrates multiple biomedical and environmental sensors with a microcontroller to enable real-time monitoring and emergency alerting. Key features include continuous measurement of body temperature and ECG signals, fall detection using an accelerometer (MEMS sensor), and gesture- or button-based request mechanisms for basic needs such as water, food, or emergency help. The collected data is displayed on an LCD for local caregivers and simultaneously transmitted through a GSM module to remote family members or healthcare providers in the form of SMS alerts. This ensures timely intervention in critical situations such as abnormal temperature, falls, or emergency requests. The proposed system is cost-effective, easy to implement, and enhances patient safety, independence, and caregiver responsiveness. Thus, it provides a practical step toward improving the quality of life of paralysis patients through smart IoT-based healthcare solutions. Key Words: Internet of Things (IoT), Paralysis Patient Monitoring, Healthcare System, GSM Module, MEMS Sensor, ECG Monitoring, Temperature Sensor, Finger Gesture Recognition, Remote Patient Monitoring, Emergency Alert System