Ventilator Prototype using Raspberry Pi

The Ventilator Prototype using Raspberry Pi functions as an automated mechanical breathing assistant and vital signs monitor. At the core of the system, the Raspberry Pi 5 processes control logic to actuate a servo motor via pulse-width modulation. The mechanical linkage of the servo arm is positioned to rhythmically compress a BVM bag (or a balloon acting as a test lung) connected through a pipe and a cardboard mechanical frame, simulating the inhalation phase of assisted breathing. Simultaneously, the MAX30100 sensor interfaces with the system to capture optical photoplethysmography data, measuring the user's heart rate and blood oxygen saturation (SpO2) levels. The real-time biometric readings, along with operational status, are dynamically rendered on an LCD or OLED display driven by the SSD1306 and Max30100 software libraries configured via the Arduino IDE environment. Connecting wires complete the power and signal routing between the Raspberry Pi, servo, display, and sensor. By synchronizing the mechanical compression cycle with physiological monitoring, the prototype demonstrates closed-loop biomedical engineering concepts, blending precise electromechanical motion control with continuous sensor feedback acquisition.