Summary: New research shows that each person’s nasal breathing pattern forms a distinctive “breathing fingerprint” that can identify them with nearly 97% accuracy. By continuously tracking nasal airflow for 24 hours with a lightweight wearable, researchers discovered that these patterns also reflect physical and mental health traits, including body mass index, sleep-wake cycles, and anxiety levels.
This work suggests breath monitoring could serve dual roles: a biometric identifier and a noninvasive window into emotional and physiological state. Continuous, long-duration recordings revealed subtle, stable features of respiration that short clinical tests typically miss.
Key Facts:
- Unique identifier: Individuals in the study were identified with 96.8% accuracy using nasal breathing patterns alone.
- Health correlations: Long-term breathing styles were associated with traits such as BMI, sleep timing, anxiety and depression scores, and certain behavioral tendencies.
- Therapeutic potential: Because breathing patterns relate to mental state, modifying respiration could become a pathway for improving emotional well-being.
Source: Cell Press
Your breath is one of a kind.
A study published on June 12 in the journal Current Biology demonstrates that nasal airflow patterns recorded over extended periods reveal highly individualized respiratory signatures. Researchers from the Weizmann Institute of Science developed a soft, lightweight wearable that measures airflow in each nostril separately and logged continuous data for 24-hour stretches while participants went about everyday activities.
Most clinical breathing tests are brief—minutes rather than hours—and target lung function or specific diagnoses. Those brief snapshots miss the rich dynamics present across an entire day and night. By contrast, continuous monitoring captures variations tied to activity, sleep, and emotional state, revealing stable, person-specific features that the team calls nasal respiratory fingerprints.
Lead author Noam Sobel and colleagues fitted one hundred healthy young adults with the device and collected long-term nasal airflow recordings. Using these signals alone, machine-learning analyses identified individuals with 96.8% accuracy. The identification remained robust in retest experiments across months and even years, showing stability comparable to established biometric methods such as voice recognition.
The researchers also examined how these breathing fingerprints related to physiological and psychological measures. They found meaningful correlations: for example, higher anxiety scores were associated with shorter inhalations and greater variability in the pauses between breaths during sleep. Similarly, patterns of airflow related to body-mass index and to participants’ sleep–wake timing. Notably, the participants were not clinically diagnosed with mental disorders, indicating these breathing signatures can reflect subclinical differences in emotional and cognitive state.
These findings raise two important possibilities. First, long-term nasal airflow monitoring could become a practical tool for unobtrusively tracking health, mood, and sleep across daily life. Second, because respiration both reflects and influences brain state, it may be possible to modify breathing to affect mood and anxiety. As Sobel notes, it is unclear whether altered breathing is a consequence or a cause of emotional states—or both—but the results motivate trials that aim to improve well-being by training healthier breathing patterns.
The wearable design used in this study also highlights challenges for real-world adoption. A tube under the nose can feel medical and conspicuous, may not capture mouth breathing, and can shift during sleep. The team plans to refine the hardware into a more discreet, comfortable form factor suitable for daily use while preserving the fidelity needed for fingerprinting and health monitoring.
Researchers Timna Soroka and Noam Sobel emphasize that their goal goes beyond diagnosis: they aim to explore interventions that help people emulate healthier respiratory patterns to reduce anxiety or depressive symptoms. Early work is ongoing, and the group reports cautious optimism about future therapeutic applications.
About this breathing and mental health research news
Author: Queen Muse
Source: Cell Press
Contact: Queen Muse – Cell Press
Image credit: Neuroscience News
Original Research: Open access. “Humans have nasal respiratory fingerprints” by Noam Sobel et al., Current Biology. DOI: 10.1016/j.cub.2025.05.008
Abstract
Humans have nasal respiratory fingerprints
Long-term respiratory patterns are driven by complex brain networks. Because individual brains are unique, the researchers hypothesized that their respiration-driven patterns would also be unique. To test this, they developed a wearable that measures nasal airflow in each nostril separately for up to 24 hours. In a cohort of participants, nasal airflow patterns allowed individual identification with 96.8% accuracy and remained stable across retests. Beyond identity, these breathing fingerprints carried information about physiological states—such as arousal levels and body mass index—and cognitive or emotional traits, including anxiety and depression scores. The study concludes that long-term nasal airflow reflects brain drivers of respiration, is individually distinctive, and has implications for health, emotion, and cognition.