Obstructive Sleep Apnea Syndrome Detection Using Snoring Characteristics

• Main Authors: Wan-hua Chang, 張文華
• Other Authors: Hsiao-Chiu Chu
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/87428861096276842419

碩士 === 逢甲大學 === 通訊工程所 === 95 === Based on the investigation of Population Health Sciences & Biostatistics and Medical Informatics Dept. Univ. of Wisconsin, there are about 9% autumnal males and 4% autumnal females affected by SAS(Sleep Apnea Syndrome). In Japan’s investigation, there are about 1% of total populations affected by SAS. The case in Taiwan, it’s almost 0.4 million people. Because, the condition of SAS usually happen in sleep, the patients hard to aware. Hence, sometimes SAS be noticed by patients’ family or doctors. In the common case, when doctor diagnosing the “sleep disturbance” always need the patient staying in the “center of sleep medicine” for a night with polysomnography (PSG). That’s can know if the patient got SAS correctly. So, we develop a “non-invasive” system to detect the snoring sound of sleeping people for the initial test by self. It can decrease the cost of medical resource and save private time.