More than audio: Google headphones now monitor heart health

A Google, which is affiliated with Alphabet, recently unveiled an innovative technology that has the potential to monitor people's heart rates using noise-cancelling headphones.

This innovation is called “APG: Audioplethysmography for Cardiac Monitoring in Hearables”.

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It is compatible with all noise-cancelling in-ear headphones available on the market. market, eliminating the need for additional sensors to measure both heart rate and your variability.

How does this system work?

The system is based on an acoustic sensor that uses low-intensity ultrasound through the headphones' speakers.

The emitted ultrasonic waves are picked up by the device's microphones as they return, and the resulting echo is used to identify the heart rate.

Google researchers developed a mathematical model to analyze and convert ultrasound echoes into accurate heart readings.

A notable feature of this technology is its ability to function even when users are listening to music on their devices. headphones and in motion, such as when running.

Google also states that APG can adapt to several factors, such as variation in skin tone, poor ear sealing and the size of the ear canal.

Furthermore, the analysis method has a minimal impact on the battery life of the headphones. To verify the accuracy and effectiveness of APG, Google conducted field research over eight months, involving 153 volunteers.

The results revealed a high degree of accuracy, with an average error of 3.21% when measuring heart rate and 2.70% when measuring heart rate variability.

The technology underwent internal reviews and validations by the Google team, including healthcare professionals, user experience (UX) experts and the legal team.

The researchers plan to subject the APG to more rigorous testing in higher-intensity activities, such as intensive walking, weight lifting, boxing and high-intensity interval training (HIIT).

Ultimately, this technology is expected to revolutionize the collection of user health data, taking advantage of the nuances contained in the wavelength used by APG.

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