Deep breathing

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In a nutshell

  • Your breathing pattern is as unique as a fingerprint and can identify you with 96.8% accuracy.
  • Scientists found links between nasal airflow and mental health traits like anxiety, depression, and autism-related scores.
  • The technology could one day be used for health monitoring — but it also raises serious privacy questions.

REHOVOT, Israel — Forget fingerprints and facial recognition – researchers have discovered that the way you breathe through your nose is so unique, it can identify you with stunning accuracy. A breakthrough study shows that humans have individual “nasal respiratory fingerprints” that remain stable over time and can predict everything from your body weight to your mental health.

Israeli scientists at the Weizmann Institute of Science developed a wearable device that can identify people based solely on their breathing patterns with 96.8% accuracy, better than many voice recognition systems. Even more remarkable, these breathing signatures stayed consistent when participants returned for testing nearly two years later.

“We found that we could identify members of a 97-participant cohort at a remarkable 96.8% accuracy from nasal airflow patterns alone,” the researchers wrote in their paper, published in Current Biology. “In other words, humans have individual nasal airflow fingerprints.”

Beyond creating a new form of biometric security, the study reveals how breathing patterns reflect the unique wiring of your brain and can expose intimate details about your physical and mental state.

How Scientists Tracked Your Every Breath

Most people think of breathing as automatic and simple, but it’s actually controlled by an incredibly complex network of brain regions. Because every person’s brain is unique, the researchers reasoned that the breathing patterns it generates should also be unique, like a neural signature expressed through your nostrils.

Scientists at the Weizmann Institute of Science created a small, wearable device they call the “Nasal Holter,” a 22-gram gadget that participants wore for 24 hours straight. The device, about the size of a smartphone, attaches to the back of the neck and connects to the nose via a thin tube with separate sensors for each nostril.

One hundred participants, mostly young adults averaging 26 years old, wore the device while going about their normal daily activities – working, sleeping, exercising, and relaxing. Forty-two of them returned months later to repeat the experiment, allowing researchers to test whether breathing patterns remain stable over time.

Tubes beneath the nose measured airflow from each nostril, revealing each person’s unique breathing fingerprint.
Tubes beneath the nose measured airflow from each nostril, revealing each person’s unique breathing fingerprint. (Credit: Soroka et al., Current Biology)

How Your Breathing Style Is as Unique as Your Fingerprint

Using computer algorithms, the researchers analyzed 24 different breathing characteristics, including inhale volume, breathing rate, and the natural cycle of airflow switching between nostrils. They could identify individuals during waking hours with over 90% accuracy, and the patterns remained consistent even when participants returned up to two years later.

The study found that “individual identification by nasal airflow fingerprints was on par with or better than voice recognition.”

When researchers examined what these breathing patterns could reveal, they discovered something striking: your nose essentially broadcasts information about your private health and mental state. The breathing patterns could predict participants’ body mass index, levels of anxiety and depression, and even traits associated with autism spectrum conditions.

People with higher anxiety showed shorter inhales during sleep, while those with depression symptoms had different peak airflow patterns during the day. The device could distinguish between sleep and wake states with 100% accuracy using just breathing data. It could also detect the natural nasal cycle, which is the way airflow alternates between nostrils throughout the day, a process most people aren’t aware of.

Discreet device on the nape of the neck, which recorded airflow through soft tubes connected to the nose
Discreet device on the nape of the neck, which recorded airflow through soft tubes connected to the nose. (Credit: Soroka et al. Current Biology)

What This Means for Health and Privacy

Timna Soroka, the study’s lead author, and her colleagues believe these patterns reflect the brain’s control over breathing. Unlike simple lung function tests that measure airway health, long-term breathing patterns reveal how your brain’s respiratory control centers are wired and functioning.

The technology could transform how we monitor health and diagnose diseases. Since breathing patterns reflect brain activity, changes in these patterns might signal neurological conditions, mental health issues, or other medical problems before symptoms become obvious.

However, the research raises privacy concerns. If breathing patterns are this revealing and can be detected by sensitive enough equipment, what happens to privacy in a world of increasingly sophisticated monitoring technology?

Currently, the device requires direct contact with the nostrils, limiting its use for covert surveillance. As sensor technology advances, though, the possibility of remote breathing pattern detection becomes more realistic.

The research has limitations. The study focused on healthy young adults, so it’s unclear how well the findings apply to older adults, children, or people with respiratory conditions. The nasal tubes occasionally slipped during sleep, and some participants found wearing the device for 24 hours uncomfortable. The correlations with mental health measures were based on questionnaire scores rather than clinical diagnoses.

Your breathing pattern is as individual as your fingerprint, but unlike fingerprints, it’s constantly active and potentially more revealing about your internal state. While the technology offers exciting possibilities for health monitoring and medical diagnosis, it also raises new questions about biological privacy in an age of ubiquitous sensing. Today’s fascinating research discovery often becomes tomorrow’s surveillance tool, making it crucial to consider how we’ll regulate and protect the intimate biological data that our bodies are constantly, unconsciously sharing.

Paper Summary

Methodology

Researchers recruited 100 healthy participants (52 female, average age 26) who wore a custom-built “Nasal Holter” device for 24 continuous hours. The 22-gram device attached to the neck and used thin tubes to measure airflow in each nostril separately at 6 times per second. Participants logged their activities and completed questionnaires about depression, anxiety, and autism-related traits. Forty-two participants returned for a second 24-hour session months later. Scientists used machine learning algorithms to analyze 24 different breathing parameters and test whether they could identify individuals from their breathing patterns alone.

Results

The study achieved 96.8% accuracy in identifying individuals from their nasal breathing patterns during waking hours, with 95.2% accuracy maintained even when participants returned up to two years later. The system could distinguish sleep from wake states with 100% accuracy and predict body mass index, anxiety levels, depression scores, and autism-related traits from breathing patterns alone. Even using just one hour of breathing data, researchers could still identify about 29% of participants during wake and 43% during sleep. The breathing patterns remained remarkably stable over time, making them as reliable as voice recognition for identification purposes.

Limitations

The study included only healthy young adults, limiting generalizability to other age groups or people with respiratory conditions. The nasal cannula method provided excellent timing accuracy but was only about 90% accurate for absolute airflow volumes. Some participants found the device uncomfortable or aesthetically unpleasing for extended wear, and the nasal tubes occasionally displaced during sleep. The mental health correlations were based on questionnaire scores rather than clinical diagnoses, and the 6Hz sampling rate, while sufficient, was lower than optimal due to battery constraints.

Funding and Disclosures

The research was funded by grants from the Israel Science Foundation, the Sagol Weizmann-MIT Bridge Program, The Minerva Foundation, and ERA PerMed. The Weizmann Institute has applied for patents on diagnosing diseases from nasal airflow patterns. Several co-authors hold patents for the Nasal Holter device and are involved with Sniff Logic LTD, a company developing the technology, though the company was formed after data collection and had no involvement in the study.

Publication Information

“Humans have nasal respiratory fingerprints” by Timna Soroka, Aharon Ravia, Kobi Snitz, and colleagues was published in Current Biology, Volume 35, pages 1-11, on July 7, 2025. The study is available as open access under a Creative Commons license at https://doi.org/10.1016/j.cub.2025.05.008.

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