The scope of the developed work includes the design and implementation of a new, affordable, and mobile pulse oximeter based on the Arduino platform. The device is directed toward monitoring lifestyles in understaffed remote areas with scarce basic health care equipment. The proposed system uses the red and infrared LEDs and photodetector to take non-invasive measurement of SpO2 and HR which are critical in cardiovascular and respiratory systems. Processing on the Arduino allows for effective signals acquisition and processing for increased accuracy of readings. The device incorporates an auditory LCD display for local applications and Bluetooth or Wi-Fi modules for remote transfer of data to smartphones for continuous health assessment and remote consultancy. The compact, low-cost, easy to use design of the device makes it effective for personal health monitoring, education and telemedicine, especially in rural and disadvantaged areas or catastrophe scenarios. Initial analysis indicate that the system can offer equivalent performance to commercial pulse oximeters thus promising itself as affordable solution. This development has potential of increasing health care provision, improving preventative health, as well as availing of complex yet cheap diagnostic equipment to the people. Further work includes refining the model and extending the site-based validation studies to increase the applicability of the model in various health care contexts.

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Low-Cost Portable Pulse Oximeter Using Arduino for Accessible Health Monitoring and Remote Applications

  • P. Sinthia,
  • M. Malathi,
  • K. Kanchana,
  • K. J. Anoop,
  • S. Kavitha

摘要

The scope of the developed work includes the design and implementation of a new, affordable, and mobile pulse oximeter based on the Arduino platform. The device is directed toward monitoring lifestyles in understaffed remote areas with scarce basic health care equipment. The proposed system uses the red and infrared LEDs and photodetector to take non-invasive measurement of SpO2 and HR which are critical in cardiovascular and respiratory systems. Processing on the Arduino allows for effective signals acquisition and processing for increased accuracy of readings. The device incorporates an auditory LCD display for local applications and Bluetooth or Wi-Fi modules for remote transfer of data to smartphones for continuous health assessment and remote consultancy. The compact, low-cost, easy to use design of the device makes it effective for personal health monitoring, education and telemedicine, especially in rural and disadvantaged areas or catastrophe scenarios. Initial analysis indicate that the system can offer equivalent performance to commercial pulse oximeters thus promising itself as affordable solution. This development has potential of increasing health care provision, improving preventative health, as well as availing of complex yet cheap diagnostic equipment to the people. Further work includes refining the model and extending the site-based validation studies to increase the applicability of the model in various health care contexts.