PORTABLE ELECTRONIC DEVICE FOR DETECTING GLUCOSE LEVELS BY ANALYSIS OF VOLATILE BREATH COMPOUNDS WITH EMBEDDED MICROCONTROLLER PROCESSING

Abstract

The present invention relates to an electronic nose for detecting glucose levels through the analysis of volatile organic compounds (VOCs) using artificial intelligence. This is achieved through an emerging technology called TinyML, which allows the programming and execution of intelligent algorithms on small, low-power electronic devices without the need for external computing equipment. This invention offers timely detection of elevated glucose levels and improved monitoring for individuals living with diabetes.

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