title: Detecting Breathing and Snoring Episodes Using a Wireless Tracheal Sensor-A Feasibility Study.
abstract: Sleep-disordered breathing is both a clinical and a social problem. This implies the need for convenient solutions to simplify screening and diagnosis. The aim of the study was to investigate the sensitivity and specificity of a novel wireless system in detecting breathing and snoring episodes during sleep.
  
  
  
  A wireless acoustic sensor was elaborated and implemented. Segmentation (based on spectral thresholding and heuristics) and classification of all breathing episodes during recording were implemented through a mobile application. The system was evaluated on 1520 manually labeled episodes registered from 40 real-world, whole-night recordings of 16 generally healthy subjects.
  
  
  
  The differentiation between normal breathing and snoring had 88.8% accuracy. As the system is intended for screening, high specificity of 95% is reported.
  
  
  
  The system is a compromise between nonmedical phone applications and medical sleep studies. The presented approach enables the study to be repetitive, personal, and inexpensive. It has additional value in the form of well-recorded data which are reliable and comparable.
  
  
  
  The system opens unexplored possibilities in sleep monitoring and study enabling a multinight recording strategy involving the collection and analysis of abundant data from thousands of people.
authors.forename: Marcel
authors.initials: M
authors.lastname: Mlynczak
authors.forename: Ewa
authors.initials: E
authors.lastname: Migacz
authors.forename: Maciej
authors.initials: M
authors.lastname: Migacz
authors.forename: Wojciech
authors.initials: W
authors.lastname: Kukwa
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D000069550:Machine Learning; D008297:Male; D008875:Middle Aged; D008991:Monitoring, Physiologic / Q000379:methods; D012119:Respiration; D012815:Signal Processing, Computer-Assisted; D012891:Sleep Apnea Syndromes / Q000175:diagnosis*; D000068997:Smartphone; D012913:Snoring / Q000175:diagnosis*; D013018:Sound Spectrography / Q000379:methods*; D014132:Trachea / Q000503:physiopathology; D059015:Wireless Technology