DocumentCode :
3381887
Title :
Trial of measurement of sleep apnea syndrome with sound monitoring and SpO2 at home
Author :
Nobuyuki, Ashida ; Yasuhiro, Nasu ; Taiki, Teshima ; Miyae, Yamakawa ; Kiyoko, Makimoto ; Terumasa, Higashi
Author_Institution :
Dept. of Med. & Welfare Manage., Koshien Univ., Takarazuka, Japan
fYear :
2009
fDate :
16-18 Dec. 2009
Firstpage :
66
Lastpage :
69
Abstract :
Sleep apnea syndrome (SAS), which is associated with symptoms like chronic snoring, sleep apnea, and daytime excessive sleepiness, causes problems in daily lives. It has been pointed out that sleep of those who have apnea attacks is characterized by snoring in many cases, and thus attempts have been made to conduct screening for sleep apnea syndrome by analyzing snoring sounds. However, using snoring sound for screening is not practical at present because enormous effort is required in order to analyze each individual´s overnight snoring sound for a clinical application purpose. As just described, screening for sleep apnea syndrome has been regarded as being considerably troublesome. In addition, snoring sound with relatively less noise can be collected in well-equipped environments such as a sleep disorder center, but, collecting snoring sound at home suitable for analysis is likely to be difficult because numerous different kinds of noise sources exist at home. With intent to improve such situations, use of an IC recorder with a bone-conduction microphone and a simple SpO2 monitor was considered and sound processing was used to eliminate noise in this study this time with expectation that such application of those devices will minimize patients´ psychological burdens because staying overnight at hospital to undergo an examination in an extensively-equipped room will become unnecessary. As reduction of SpO2 during sleep results in sleep quality deterioration, it was studied if comparison between the SpO2 and pulse data and the snoring sound data, both of which were collected during sleep, could be helpful in order to grasp respiratory status during sleep and evaluate sleep quality, using the main symptom of sleep apnea syndrome, snoring.
Keywords :
acoustic signal processing; medical signal processing; patient monitoring; sleep; IC recorder; bone-conduction microphone; chronic snoring; extensively equipped room; noise elimination; noise sources; pulse data; sleep apnea syndrome measurement; sleep disorder center; sleep quality deterioration; snoring sound analysis; sound monitoring; sound signal processing; Acoustic noise; Application specific integrated circuits; Hospitals; Integrated circuit noise; Microphones; Patient monitoring; Psychology; Sleep apnea; Synthetic aperture sonar; Working environment noise; Sleep apnea syndrome; SpO2; home screening test; snoring sound; sound signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Health Networking, Applications and Services, 2009. Healthcom 2009. 11th International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-5013-8
Electronic_ISBN :
978-1-4244-5014-5
Type :
conf
DOI :
10.1109/HEALTH.2009.5406202
Filename :
5406202
Link To Document :
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