This study focuses on the design and development of a Mechatronics-Based Health Monitoring System (MBHMS) intended for continuous, real-time, and non-invasive monitoring of essential physiological parameters. The system integrates multiple biomedical sensors such as a pulse and oxygen saturation (SpO₂) sensor, temperature sensor, and electrocardiogram (ECG) module coordinated by an embedded microcontroller with a graphical touch display for user interaction. Collected sensor data are processed and compared with predefined clinical thresholds, while abnormal readings automatically trigger remote alerts through Internet-of-Things (IoT) connectivity and email notification. The study emphasizes affordability, portability, and energy efficiency so the device can be used in personal healthcare, rural clinics, and telemedicine scenarios where access to conventional medical equipment is limited. Performance evaluation using simulated multi-user datasets demonstrated reliable measurement accuracy, responsive alert generation, and stable system operation. The modular architecture also allows future expansion to include medical-grade sensors, cloud data storage, and machine-learning analytics for predictive health assessment.
Kaye Stephen (Sat,) studied this question.