Effect of wireless channels on detection and classification of asthma attacks in wireless remote health monitoring systems
作者： Orobah Al-Momani , Khaled M. Gharaibeh
DOI: 10.1155/2014/816369
关键词:
摘要: This paper aims to study the performance of support vector machine (SVM) classification in detecting asthma attacks a wireless remote monitoring scenario. The effect channels on decision making SVM classifier is studied order determine channel conditions under which transmission not recommended from clinical point view. simulation results show that algorithm highly influenced by mobility user where Doppler effects are manifested. also classifiers out perform other methods used for cough signals such as hidden markov model (HMM) based specially when impairments considered.
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acm.org参考文章(18)
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