The integration of Internet of Things (IoT) technologies into healthcare has shown great potential, particularly in remote health monitoring. This paper proposes a novel system combining gas colorimetry with cloud-based IoT schemes to enable precise, non-intrusive home health monitoring. Using highly specific gas sensing through advanced colorimetric gas sensors, this approach detects health-related pollutants and noxious gases in the ambient air, providing continuous real-time data to healthcare providers. The system includes a compact IoT-enabled device capable of simultaneously reading up to four distinct colorimetric gas sensors, complemented by environmental sensing capabilities. This new gasometric device, roughly the size of a credit card, offers a robust, scalable, and privacy-preserving solution for integrating real-time data into cloud-based health analytics. Furthermore, this device is designed to be deployed and integrated within commercial setups along with other advanced sensors, such as cardiorespiratory tracking radars, allowing for complementary analysis of physiology metrics. These features make it a cost-effective and adaptable tool for home diagnostics, bridging the gap between advanced sensing technologies and practical healthcare delivery.

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When Colorimetry Meets the Cloud: IoT-Enabled Health Monitoring at Home via Highly-Specific Gas Sensing

  • Ismael Benito-Altamirano,
  • Omar Romera-Aller,
  • Miquel Alfaras,
  • Zouhair Haddi,
  • Anaïs Espinoso,
  • Xavier Llauradó,
  • José A. Sáez,
  • Cristian Fabrega Gallego

摘要

The integration of Internet of Things (IoT) technologies into healthcare has shown great potential, particularly in remote health monitoring. This paper proposes a novel system combining gas colorimetry with cloud-based IoT schemes to enable precise, non-intrusive home health monitoring. Using highly specific gas sensing through advanced colorimetric gas sensors, this approach detects health-related pollutants and noxious gases in the ambient air, providing continuous real-time data to healthcare providers. The system includes a compact IoT-enabled device capable of simultaneously reading up to four distinct colorimetric gas sensors, complemented by environmental sensing capabilities. This new gasometric device, roughly the size of a credit card, offers a robust, scalable, and privacy-preserving solution for integrating real-time data into cloud-based health analytics. Furthermore, this device is designed to be deployed and integrated within commercial setups along with other advanced sensors, such as cardiorespiratory tracking radars, allowing for complementary analysis of physiology metrics. These features make it a cost-effective and adaptable tool for home diagnostics, bridging the gap between advanced sensing technologies and practical healthcare delivery.