DocumentCode
2428045
Title
Formant analysis of breath and snore sounds
Author
Yadollahi, Azadeh ; Moussavi, Zahra
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Manitoba, Winnipeg, MB, Canada
fYear
2009
fDate
3-6 Sept. 2009
Firstpage
2563
Lastpage
2566
Abstract
Formant frequencies of snore and breath sounds represent resonance in the upper airways; hence, they change with respect to the upper airway anatomy. Therefore, formant frequencies and their variations can be examined to distinguish between snore and breath sounds. In this paper, formant frequencies of snore and breath sounds are investigated and automatically grouped into 7 clusters based on K-Means clustering. First, formants clusters of breath and snore sounds of all subjects were investigated together and their union were calculated as the most probable ranges of the formants. The ranges for the first four formants which span the main frequency components of breath and snore sounds were found to be [20-400]Hz, [270-840]Hz, [500-1380]Hz and [910-1920]Hz. These ranges were then used as priori information to recalculate the formants of snore and breath sounds separately. Statistical t-test showed the 1st and 3rd formants to be the most characteristic features in distinguishing the breath and snore sounds from each other.
Keywords
pneumodynamics; statistical analysis; K-means clustering; breath sound; formant frequency; frequency 20 Hz to 1920 Hz; priori information; snore sound; statistical t-test; Adult; Aged, 80 and over; Automation; Female; Humans; Male; Middle Aged; Polysomnography; Reproducibility of Results; Respiration; Respiratory System; Signal Processing, Computer-Assisted; Snoring; Sound; Sound Spectrography;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location
Minneapolis, MN
ISSN
1557-170X
Print_ISBN
978-1-4244-3296-7
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2009.5335292
Filename
5335292
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