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Headphones are no longer just for listening to music. Apple is exploring new ways to monitor health through sound. A recent study reveals how AI could turn AirPods into genuine medical devices.
The rapid advancement in technology is increasingly merging connected gadgets with the healthcare sector. Smartwatches and other everyday devices now come equipped with sensors that can monitor various body functions. These tools have become essential for gaining a better understanding of one’s health status without needing to visit a doctor.
Apple is now turning its attention to audio as a new source of information about the human body. Recent research conducted by the company indicates that artificial intelligence models can analyze heart sounds to determine heart rate. This technique could be incorporated into future AirPods, such as the AirPods 4 ANC, which are already equipped with microphones and advanced features. This approach paves the way for unprecedented medical applications for everyday wearable items.
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In a technical paper, Apple describes how it used recordings of heartbeats known as phonocardiograms. The company exposed approximately 20 hours of these sounds to various AI models originally designed for voice recognition. Among these were Whisper, wav2vec2, wavLM, and an in-house model named CLAP. The goal was to see if these systems could be repurposed to detect heart rate. The sounds were sourced from a public database, accompanied by reference data from electrocardiograms.
The tests produced over 23,000 audio clips of five seconds each, each analyzed to estimate heart rate. Apple reports that its CLAP model achieved the best results, with a lower error margin than the others. Unlike other AIs, this one was trained with a variety of sounds, not just human voices, which could enhance its ability to interpret bodily sounds. The company also considers using this method to identify abnormalities such as arrhythmias or heart murmurs. If this technology is integrated into the AirPods, it could transform these earphones into true health monitoring tools, without the need for additional visible sensors.
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