Research Article
An Investigation of Acoustical and Signal Processing Techniques for Classification, Diagnosis and Monitoring of Breathing Abnormalities in Sleep
@INPROCEEDINGS{10.1007/978-3-642-20865-2_15, author={Sandra Cervera and Dragana Nikolić and Robert Allen}, title={An Investigation of Acoustical and Signal Processing Techniques for Classification, Diagnosis and Monitoring of Breathing Abnormalities in Sleep}, proceedings={Wireless Mobile Communication and Healthcare. Second International ICST Conference, MobiHealth 2010, Ayia Napa, Cyprus, October 18-20, 2010. Revised Selected Papers}, proceedings_a={MOBIHEALTH}, year={2012}, month={5}, keywords={Respiratory/breathing problems Sleep apnoea Obstructive Sleep Apnoea (OSA) Palatal snoring}, doi={10.1007/978-3-642-20865-2_15} }- Sandra Cervera
Dragana Nikolić
Robert Allen
Year: 2012
An Investigation of Acoustical and Signal Processing Techniques for Classification, Diagnosis and Monitoring of Breathing Abnormalities in Sleep
MOBIHEALTH
Springer
DOI: 10.1007/978-3-642-20865-2_15
Abstract
Snoring is the often earliest symptom of Obstructive Sleep Apnoea (OSA) and other respiratory problems. A successful medical outcome depends on an accurate preoperative diagnosis of the anatomical reason for snoring. The perception of snoring is highly subjective; therefore, there is a need for an ob jective measurement of snoring for an accurate patient assessment and the evaluation of treatment effects. The main objective of this study was to distin guish between two types of snoring: palatal and non-palatal snoring considering the acoustic characteristics of the snoring signal. A key innovation is that the snoring signals are not analyzed only subjectively by a medical specialist but also objectively by analyzing recorded snoring signals. The patient’s snoring has been recorded non-invasively during sleeping and processed in both time and frequency domains to determine the origin of the snore and to identify the key features useful to the medical specialist.
