The Tracheostomy-Device-UI built with Kivy optimized for touch devices, runs on a Raspberry Pi. UI is designed for monitoring and detecting tracheostomy tube blockages. This UI simulates real-time data on respiratory rate (RR), CO2, SpO2, and heart rate (HR), with integrated blockage detection and buzzer alerts.
- Blockage Detection: Detects No Blockage, Partial Blockage, or Full Blockage.
- Buzzer Alerts:
- Full Blockage: 330Hz beep every 0.6s.
- Partial Blockage: 440Hz beep every 1.8s.
- No Blockage: Silent.
- Real-Time Monitoring: Displays live data with graphs for RR, CO2, SpO2, and HR.
- Hardware: Raspberry Pi, buzzer, monitoring sensors (CO2, SpO2, HR), display.
- Software: Python 3.x, Kivy, RPi.GPIO.
The buzzer is connected to GPIO pin 18 and is controlled based on blockage status.

