AUTOMATIC SNORE AND BREATHING SOUND CLASSIFICATION BASED ON THE SIGNAL ENVELOPE

Masato Kashihara, Takahiro Emoto, Udantha R.Abeyratne, Ikuji Kawata, Masatake Akutagawa, Shinsuke Konaka, Yohsuke Kinouchi

References

  1. [1]Bassari A G and Guilleminault C 2000 Clinicalfeatures and evaluation of obstructive sleep apneahypopnea syndrome Principles and Practice of SleepMedicine edM HKryger, T Roth andWCDement(Philadelphia, PA: Saunders) pp 869–78
  2. [2]Hoffstein V 2000 Snoring the Principles and Practiceof Sleep Medicine 3rd edn ed T Kryger and W D Roth(Philadelphia, PA: Saunders)
  3. [3] M Cavusoglu, T Ciloglu, Y Serinagaoglu, M Kamasak,O Erogul and T Akcam ． Investigation of sequentialproperties of snoring episodes for obstructive sleepapnoea identification, Physiol. Meas, 29, 2008, 879–898.
  4. [4] A. Ng, T. Koh, U. Abeyratne, and K. Puvanendran,Investigation of Obstructive Sleep Apnea Using NonlinearMode Interactions in Nonstationary Snore Signals, Annalsof Biomedical Engineering, 37(9), 2009, 1796–1806.
  5. [5]J.A. Fiz, J. Abad, R. Jané, M. Riera, M.A. Mañanas, P.Caminal,D. Rodenstein, &J. Morera.Acoustic analysis ofsnoring sound in patients with simple snoring andobstructive sleep apnoea, Eur Respir J, 9, 1996, 2365–2370.
  6. [6] Asela S Karunajeewa, Udantha R Abeyratne & CraigHukins, Multi-feature snore sound analysis in obstructivesleep apnea–hypopnea syndrome, Physiol. Meas. 32, 2011,83-97.
  7. [7] Udantha R. Abeyratne, Asela S.Karunajeewa CraigHukins, Mixed-phase modeling in snore sound analysis,Med Bio Eng Comput 2007, 45, 791–806.
  8. [8] M Cavusoglu, M Kamasak, O Erogul, T Ciloglu, YSerinagaoglu & T Akcam ， An efficient method forsnore/nonsnore classification of sleep sounds， Physiol.Meas. 28, 2007, 841–853.
  9. [9] W D Duckitt, S K Tuomi & T R Niesler, Automaticdetection, segmentation and assessment of snoring fromambient acoustic data, Physiol. Meas. 27 (2006) 1047–1056
  10. [10]Azadeh Yadollahib, Zahra Moussavi, Automaticbreath and snore sounds classification from tracheal andambient sounds recordings, Medical Engineering &Physics 32, 2010, 985–990.
  11. [11]Karunajeewa A, Abeyratne U, Hukins C. Silence-breathing-snore classification from snore-related sounds.Physiol Meas 29(2) 2008, 227–43.
  12. [12] Yadollahi, A., Formant analysis of breath and snoresounds,Engineering in Medicine and Biology Society,2009. EMBC 2009. Annual International Conference ofthe IEEE, 2009, 2563 – 2566.
  13. [13] Abeyratne U R,Wakwella A S and Hukins C 2005Pitch jump probability measures for the analysis ofsnoring sounds in apnea Physiol. Meas. 26 779
  14. [14] Tong Zhang & C.-C. Jay Kuo, HIERARCHICALCLASSIFICATION OF AUDIO DATA FORARCHIVING AND RETRIEVING, ICASSP, 1999, 3001-3004
  15. [15] Takahiro Emoto, Udantha R. Abeyratne, MasatakeAkutagawa, Shinsuke Konaka and Yohsuke Kinouchi,“High Frequency Region of the Snore Spectra CarryImportant Information on the Disease of Sleep Apnea”,Journal of Medical Engineering and Technology, Vol. 35,No. 8, pp.425–431，2011.

Important Links:

Go Back