Scheduled System Maintenance:
On Wednesday, July 29th, IEEE Xplore will undergo scheduled maintenance from 7:00-9:00 AM ET (11:00-13:00 UTC). During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Adaptive classification system for real-time detection of apnea and hypopnea events

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Koley, B. ; Dept. of Instrum. Eng., B.C. Roy Eng. Coll., Durgapur, India ; Dey, D.

This paper presents a real time portable apnea and hypopnea event detection system from the measurement of oronasal airflow signal only. The system uses a combined classification system for detection of events on the basis of personalized normal breathing pattern. Events are detected first, by identifying some abnormal breathing segments with the help of a binary classifier and then, the identified abnormal segments are further classified into any one of the two classes, i.e., apnea (A) and hypopnea (H). The second stage classification system is adaptive in nature, implemented to improve separation of apnea from hypopnea events. The proposed real time system was implemented in personal computer and was clinically validated by offline and online test, the event detection accuracy 93.4% and 91.8% was achieved on 8 different subjects in each case.

Published in:

Point-of-Care Healthcare Technologies (PHT), 2013 IEEE

Date of Conference:

16-18 Jan. 2013