Abstract:

In the context of increasing demand for remote healthcare monitoring solutions, this paper presents the design and implementation of an Automatic Remote Patient Monitoring System using Arduino Uno.

The system integrates a DHT11 sensor for body temperature measurement, a pulse sensor for monitoring heart rate, and an LCD display for real-time parameter visualization.

An alert mechanism is embedded, utilizing a red LED for immediate local notification and a GSM module for remote alerts via SMS.

The system continuously monitors the patient’s vital signs and generates alerts if the temperature exceeds a predefined threshold or if the pulse rate deviates from the normal range.

The proposed solution aims to enhance patient safety by providing timely alerts and enabling prompt intervention in critical situations.

The implementation and results demonstrate the system's effectiveness in real-time monitoring and alerting, thereby contributing to improved healthcare management and remote patient care.

• Real-Time Health Monitoring: Develop a system that continuously monitors vital signs, specifically body temperature and pulse rate, using the DHT11 temperature sensor and pulse sensor. The system should provide real-time data to ensure ongoing observation of the patient's health status.
• Accurate Data Display: Implement an LCD display to present temperature and pulse rate readings clearly and continuously. Ensure that the display is user-friendly and provides immediate feedback on the monitored health parameters.
• Effective Alert Mechanism: Design and integrate an alert system using a red LED and GSM module. The red LED should provide a local visual alert when abnormal readings are detected, while the GSM module should send SMS notifications to a designated phone number for remote alerts.
• Threshold-Based Alerts: Set predefined thresholds for body temperature and pulse rate to trigger alerts. Ensure that the system activates the red LED and sends an SMS when the temperature exceeds 37.5°C or the pulse rate goes beyond 100 BPM, enabling timely intervention.
• System Calibration and Accuracy: Calibrate the sensors to ensure accurate measurements of body temperature and pulse rate. Validate the system’s performance by comparing sensor readings with reference devices and adjusting thresholds as needed.
• Integration and Usability: Integrate all components, including sensors, microcontroller, display, and communication modules, into a cohesive and functional system. Ensure that the system is easy to assemble, deploy, and operate, with minimal user intervention required.
• Reliability and Robustness: Test the system under various conditions to ensure its reliability and robustness in real-world scenarios. Evaluate the system’s performance in terms of accuracy, response time for alerts, and overall functionality.