A Digital Oximetry Based Method for Estimating Respiratory Disturbance Index
碩士 === 國立中山大學 === 機械與機電工程學系研究所 === 93 === SAS has become an increasingly important public-health problem in recent years. It can abversely affect neurocognitive, cardiovascular, respiratory diseases and can also cause behavior disorder. Moreover, up to 90% of these cases are obstructive sleep apnea...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2005
|
Online Access: | http://ndltd.ncl.edu.tw/handle/24448802339417635694 |
id |
ndltd-TW-093NSYS5490037 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-093NSYS54900372015-12-23T04:08:13Z http://ndltd.ncl.edu.tw/handle/24448802339417635694 A Digital Oximetry Based Method for Estimating Respiratory Disturbance Index 使用血氧飽和度估測呼吸障礙指數 Shu-hao Chang 張書豪 碩士 國立中山大學 機械與機電工程學系研究所 93 SAS has become an increasingly important public-health problem in recent years. It can abversely affect neurocognitive, cardiovascular, respiratory diseases and can also cause behavior disorder. Moreover, up to 90% of these cases are obstructive sleep apnea (OSA). Therefore, it is important that how to diagnose, detect and treat OSA. The respiratory disturbance index is one parameter of estimating OSA. Polysomnography can monitor the OSA with relatively fewer invasive techniques. However, polysomnography-based sleep studies are expensive and time-consuming because they require overnight evaluation in sleep laboratories with dedicated systems and attending personnel. Based on the digital oximetry, this work introduces the estimating respiratory disturbance index. In particular, via signal processing, feature parameters and artificial intelligence, this thesis describes an off-line SpO2-based RDI estimating system. CHEN-WEN YEN 嚴成文 2005 學位論文 ; thesis 86 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立中山大學 === 機械與機電工程學系研究所 === 93 === SAS has become an increasingly important public-health problem in recent years. It can abversely affect neurocognitive, cardiovascular, respiratory diseases and can also cause behavior disorder. Moreover, up to 90% of these cases are obstructive sleep apnea (OSA). Therefore, it is important that how to diagnose, detect and treat OSA. The respiratory disturbance index is one parameter of estimating OSA. Polysomnography can monitor the OSA with relatively fewer invasive techniques. However, polysomnography-based sleep studies are expensive and time-consuming because they require overnight evaluation in sleep laboratories with dedicated systems and attending personnel.
Based on the digital oximetry, this work introduces the estimating respiratory disturbance index. In particular, via signal processing, feature parameters and artificial intelligence, this thesis describes an off-line SpO2-based RDI estimating system.
|
author2 |
CHEN-WEN YEN |
author_facet |
CHEN-WEN YEN Shu-hao Chang 張書豪 |
author |
Shu-hao Chang 張書豪 |
spellingShingle |
Shu-hao Chang 張書豪 A Digital Oximetry Based Method for Estimating Respiratory Disturbance Index |
author_sort |
Shu-hao Chang |
title |
A Digital Oximetry Based Method for Estimating Respiratory Disturbance Index |
title_short |
A Digital Oximetry Based Method for Estimating Respiratory Disturbance Index |
title_full |
A Digital Oximetry Based Method for Estimating Respiratory Disturbance Index |
title_fullStr |
A Digital Oximetry Based Method for Estimating Respiratory Disturbance Index |
title_full_unstemmed |
A Digital Oximetry Based Method for Estimating Respiratory Disturbance Index |
title_sort |
digital oximetry based method for estimating respiratory disturbance index |
publishDate |
2005 |
url |
http://ndltd.ncl.edu.tw/handle/24448802339417635694 |
work_keys_str_mv |
AT shuhaochang adigitaloximetrybasedmethodforestimatingrespiratorydisturbanceindex AT zhāngshūháo adigitaloximetrybasedmethodforestimatingrespiratorydisturbanceindex AT shuhaochang shǐyòngxuèyǎngbǎohédùgūcèhūxīzhàngàizhǐshù AT zhāngshūháo shǐyòngxuèyǎngbǎohédùgūcèhūxīzhàngàizhǐshù AT shuhaochang digitaloximetrybasedmethodforestimatingrespiratorydisturbanceindex AT zhāngshūháo digitaloximetrybasedmethodforestimatingrespiratorydisturbanceindex |
_version_ |
1718156133950029824 |