Effect of Wireless Channels on Detection and Classification of Asthma Attacks in Wireless Remote Health Monitoring Systems
Joint Authors
Gharaibeh, Khaled M.
al-Momani, Orobah
Source
International Journal of Telemedicine and Applications
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-10
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper aims to study the performance of support vector machine (SVM) classification in detecting asthma attacks in a wireless remote monitoring scenario.
The effect of wireless channels on decision making of the SVM classifier is studied in order to determine the channel conditions under which transmission is not recommended from a clinical point of view.
The simulation results show that the performance of the SVM classification algorithm in detecting asthma attacks is highly influenced by the mobility of the user where Doppler effects are manifested.
The results also show that SVM classifiers outperform other methods used for classification of cough signals such as the hidden markov model (HMM) based classifier specially when wireless channel impairments are considered.
American Psychological Association (APA)
al-Momani, Orobah& Gharaibeh, Khaled M.. 2014. Effect of Wireless Channels on Detection and Classification of Asthma Attacks in Wireless Remote Health Monitoring Systems. International Journal of Telemedicine and Applications،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-500396
Modern Language Association (MLA)
al-Momani, Orobah& Gharaibeh, Khaled M.. Effect of Wireless Channels on Detection and Classification of Asthma Attacks in Wireless Remote Health Monitoring Systems. International Journal of Telemedicine and Applications No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-500396
American Medical Association (AMA)
al-Momani, Orobah& Gharaibeh, Khaled M.. Effect of Wireless Channels on Detection and Classification of Asthma Attacks in Wireless Remote Health Monitoring Systems. International Journal of Telemedicine and Applications. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-500396
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-500396