Using acoustic sensors to discriminate between nasal and mouth breathing

The recommendation to change breathing patterns from the mouth to the nose can have a significantly positive impact upon the general well being of the individual. We classify nasal and mouth breathing by using an acoustic sensor and intelligent signal processing techniques. The overall purpose is to investigate the possibility of identifying the differences in patterns between nasal and mouth breathing in order to integrate this information into a decision support system which will form the basis of a patient monitoring and motivational feedback system to recommend the change from mouth to nasal breathing.

[1]  J. Tukey,et al.  An algorithm for the machine calculation of complex Fourier series , 1965 .

[2]  J. G. Weg,et al.  Respiratory rate as an indicator of acute respiratory dysfunction. , 1980, JAMA.

[3]  H. Pasterkamp,et al.  Chest surface mapping of lung sounds during methacholine challenge , 1997, Pediatric pulmonology.

[4]  Rozenblat Vv,et al.  The frequency spectrum of respiratory sounds in normal subjects and in pneumoconiosis , 1968 .

[5]  R. Edwards,et al.  Repeatability of physical signs in airways obstruction , 1969, Thorax.

[6]  P Forgacs Breath sounds. , 1971, Thorax.

[7]  H. Pasterkamp,et al.  Subjective assessment vs computer analysis of wheezing in asthma. , 1987, Chest.

[8]  N Gavriely,et al.  Repeatability of measurements of normal lung sounds. , 1994, American journal of respiratory and critical care medicine.

[9]  M Nissan,et al.  Spectral characteristics of chest wall breath sounds in normal subjects. , 1995, Thorax.

[10]  Kit Yan Chan,et al.  A methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach , 2009, Expert Syst. Appl..

[11]  L. Brown,et al.  Effect of vital signs on advanced life support interventions for prehospital patients. , 1997, Prehospital emergency care : official journal of the National Association of EMS Physicians and the National Association of State EMS Directors.

[12]  B. M. Stolbun,et al.  [The frequency spectrum of respiratory sounds in normal subjects and in pneumoconiosis]. , 1968, Klinicheskaia meditsina.

[13]  W. F. Anderson,et al.  Frequency analysis of breath sounds by phonopneumography. , 1981, Medical instrumentation.

[14]  Michael R. Neuman,et al.  A thin film temperature sensor for measuring nasal and oral breathing in neonates , 1992, 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[15]  P Piirilä,et al.  Changes in frequency spectra of breath sounds during histamine challenge test in adult asthmatics and healthy control subjects. , 1994, Chest.

[16]  Yi-Ping Hung,et al.  Multimedia feedback for improving breathing habit , 2008, 2008 First IEEE International Conference on Ubi-Media Computing.

[17]  Hans Pasterkamp,et al.  Comparison of lung sound transducers using a bioacoustic transducer testing system. , 2006, Journal of applied physiology.

[18]  M J Wegmann,et al.  Frequency spectra of normal breath sounds in childhood. , 1991, Chest.

[19]  Alexander Rokitansky,et al.  Thorax , 2009, Pediatric Surgery Digest.

[20]  F. Houghton,et al.  Buteyko Breathing Technique for asthma: an effective intervention. , 2003, The New Zealand medical journal.

[21]  G. N. Webb,et al.  The acoustic basis of the chest examination; studies by means of sound spectrography. , 1955, American review of tuberculosis.

[22]  P. Armitage,et al.  OBSERVER DISAGREEMENT IN PHYSICAL SIGNS OF THE RESPIRATORY SYSTEM. , 1965, Lancet.

[23]  A. Dittmar,et al.  The relationship between normal lung sounds, age, and gender. , 2000, American journal of respiratory and critical care medicine.

[24]  Peng Yuan,et al.  Discriminating between Nasal and Mouth Breathing , 2010, ArXiv.