Analyzing breath patterns can be crucial for diagnosing and treating numerous health issues
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Forget about facial recognition—innovative methods for identification may be on the horizon. Researchers have unveiled the concept of “respiratory fingerprints,” a distinctive breathing pattern that could transform the approach to diagnosing and managing various health conditions, including obesity and depression.
The breakthrough is credited to Timna Soroka at the Weizmann Institute of Science in Israel. Together with her team, they designed wearable devices capable of capturing the minute details of our breathing patterns.
“This research is exciting,” says Torben Noto from OSMO in New York, an AI company focused on enhancing computer sensory perception, who was not part of the study. “It tackles many persistent inquiries regarding the relationship between respiratory signals and health, as well as mental well-being.”
The notion that breath patterns can reveal health information isn’t new; clues to this relationship date back to the 1950s. Yet, previous studies were limited to data from hospital patients because no wearable devices existed that could record nasal breathing while allowing people to move freely.
To overcome this limitation, Soroka and her colleagues developed a wearable device, which was tested by 97 participants who wore it around the clock. The team trained an algorithm to detect a unique set of 24 breathing metrics, ranging from the volume of air inhaled to the speed of breathing. Remarkably, the algorithm achieved nearly 97% accuracy in identifying participants, and their unique breathing signature remained consistent over a two-year follow-up period.
However, don’t expect to use this device for banking transactions just yet, warns Norm Sobel from the Weizmann Institute. The primary aim is not biometric authentication, but to extract invaluable health insights.
For instance, a person’s body mass index (BMI) can be estimated using specific nasal cycle parameters, which involve a rhythmic pattern of airflow between nostrils. This cycle is controlled by the balance between the sympathetic and parasympathetic nervous systems—the former prepares the body for “fight or flight,” while the latter calms the body. “By assessing nostril airflow, we effectively gauge sympathetic arousal, which seems to correlate with BMI,” explains Sobel.
This leads to intriguing inquiries, Sobel notes: Could breathing patterns influence weight rather than weight changes altering breath? “If that’s the case, we might discover a breathing pattern that promotes weight loss, at which point we’ll all retire to an island,” he quips.
The respiratory data also indicated a link between breathing characteristics and levels of anxiety and depression. For example, individuals experiencing higher depressive symptoms exhibited faster inhalation rates.
The research team is currently exploring whether these breathing patterns actively contribute to these symptoms and if they can be used to diagnose widespread mental health disorders.
“Imagine a future where each patient owns a nasal airflow monitoring device that not only tracks treatment progress but also offers feedback and predicts outcomes for various disorders,” says Noto. The device measures 24 distinct breathing metrics. It also enables users to notice deviations from their normal breathing patterns. “This could have a profound effect on public health,” adds Noto.
Source: www.newscientist.com
