Humans have nasal respiratory fingerprints

Area of Science:

• Neuroscience
• Physiology
• Biometrics

Background:

• Complex brain networks generate long-term respiratory patterns.
• Individual brain uniqueness suggests potentially unique respiratory patterns.

Purpose of the Study:

• To test the hypothesis that respiratory patterns are individually unique.
• To develop a method for identifying individuals based on nasal airflow patterns.

Main Methods:

• Development of a wearable device for precise, bilateral nasal airflow measurement over 24-h periods.
• Analysis of nasal airflow data from a 97-participant cohort.
• Test-retest experiments to assess fingerprint stability and identification accuracy.

Main Results:

• Participants were identified with 96.8% accuracy based on nasal airflow patterns alone, establishing "nasal airflow fingerprints."
• These fingerprints demonstrated stability over time, comparable to or exceeding voice recognition for identification.
• Nasal airflow patterns showed high sensitivity to physiological states (arousal, BMI) and cognitive traits (anxiety, depression, behavioral tendencies).

Conclusions:

• Long-term nasal airflow patterns reflect brain-driven respiration and are individually unique.
• Nasal airflow fingerprints have significant implications for understanding health, emotion, and cognition.
• This research opens avenues for novel biometric and health monitoring applications.