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Tracheostomy Device UI

Python RaspberryPI

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.

IVD UI

IVD DEMO

Features

  • 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.

Requirements

  • Hardware: Raspberry Pi, buzzer, monitoring sensors (CO2, SpO2, HR), display.
  • Software: Python 3.x, Kivy, RPi.GPIO.

GPIO Control

The buzzer is connected to GPIO pin 18 and is controlled based on blockage status.

DEMO

IMG_7684.mp4

About

The Tracheostomy-Device-UI built with Kivy optimized for touch devices, runs on a Raspberry Pi.

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