Google is set to revolutionize the world of wearable technology with its pioneering research into audio plethysmography (APG).
This
innovative technology promises to equip active noise canceling (ANC) headphones
and earbuds with heart rate monitoring capabilities through a straightforward
software update. In this breakthrough, Google harnesses the inner ear's unique
properties for health sensing, ushering in a new era of convenience and
accuracy in tracking vital signs.
Highlights:
Ear
Canal as Ideal Health Sensor: Google has identified the ear canal as an optimal
location for health sensing due to the intricate network of vessels within.
This revelation paves the way for accurate heart rate monitoring.
Ultrasound-Based
Heart Rate Measurement: Google's technology relies on a low-intensity
ultrasound signal sent through ANC headphone speakers. It analyzes echoes,
capturing minute ear canal skin movements and heartbeat vibrations to derive
heart rate readings and heart rate variability.
Robust
and Accurate Results: Google's APG technology delivers consistently precise
heart rate measurements, unaffected by factors like skin tone, ear canal size,
and suboptimal seal conditions.
In a
recent blog post, Google unveiled its groundbreaking work in audio
plethysmography (APG), introducing a method to infuse heart rate monitoring
capabilities into ANC headphones and earbuds through a software upgrade.
Google's research emphasizes the ear canal's unique attributes for health
sensing, where the deep ear artery weaves a complex network of smaller vessels
throughout the auditory canal.
APG
operates by transmitting a low-intensity ultrasound signal through the speakers
of ANC headphones. Echoes generated are captured through onboard microphones,
with the vibrations of the ear canal skin and heartbeat modulating these echoes
to yield heart rate and heart rate variability readings.
The company has developed a model that processes this feedback, even in scenarios with "bad earbud seals." Google encountered challenges related to body motion but mitigated them through a multi-tone approach. This calibration tool identifies the most suitable frequency for accurate heart rate measurement.
Google
conducted two studies involving 153 participants, highlighting APG's
consistently accurate heart rate (3.21% median error) and heart rate
variability (2.70% median error) measurements. Unlike conventional heart rate
sensors, APG remains unaltered by skin tones and ear canal size, making it a
versatile, cost-effective, and reliable solution for health sensing. This
technology promises to transform TWS ANC headphones into intelligent sensing
devices with a simple software update, advancing biomedical and mobile research
while offering low-cost health sensing possibilities.
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