Configurable FIFO Buffer ASIC Flow with Gate-Level Simulation & Assertions

Configurable FIFO Buffer ASIC Flow with Gate-Level Simulation & Assertions R.Chinna Rao1, T Rakesh2 01 01 Continuous observation of patient health conditions is essential for early detection of medical emergencies and timely intervention However conventional monitoring systems often require frequent hospital visits or rely heavily on internetbased infrastructures which may not always be available in remote or resourcelimited environments To address these challenges this paper presents a RealTime Patient Health Monitoring System using an ESP32 microcontroller integrated with GSMbased notification technology The proposed system continuously measures vital physiological parameters including heart rate blood oxygen saturation SpO and body temperature while also incorporating a fall detection mechanism to identify accidental movements or patient collapse The collected data from biomedical sensors is processed in real time using the ESP32 controller The monitored parameters are displayed on a 162 LCD screen allowing patients and caregivers to easily observe health conditions locally To enhance patient safety the system includes a thresholdbased alert mechanism When any monitored parameter exceeds predefined safe limits or when a fall event is detected an audible buzzer alert is triggered locally Simultaneously the integrated GSM communication module automatically sends SMS notifications containing patient status information to caregivers medical staff or emergency contacts Unlike many IoTbased monitoring systems that depend on continuous internet connectivity the proposed solution operates using cellular communication ensuring reliable alert delivery even in remote areas The system is particularly beneficial for elderly individuals patients with chronic illnesses and home healthcare monitoring environments Experimental evaluation demonstrates that the system provides stable realtime monitoring rapid alert response and reliable emergency notification making it a costeffective and practical solution for modern remote healthcare applications

2026