Statistical recognition of aspiration presence

Shuhei Inui, Kosuke Okusa, Kurato Maeno, Toshinari Kamakura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A study on the healthcare application is very important for the solitary death in aging society. Many previous works had been proposed a detection method of aspiration using the non-contact radar. But the works are only in subjects with sitting in a chair. We consider that user falls down in the state when he happen abnormal situation as daily life. In this study, we focus on the detection of "aspiration" or "apnea" for the lying position, because the final decision of the life or death is aspiration. As initial stage of the system, we propose the recognition method for the presence of aspiration with lying position under the low-disturbance environment from microwave Doppler signals by using support vector machine (SVM).

Original languageEnglish
Title of host publicationIAENG Transactions on Engineering Technologies - Special Issue of the World Congress on Engineering and Computer Science 2012
PublisherSpringer Verlag
Pages541-553
Number of pages13
ISBN (Print)9789400768178
DOIs
Publication statusPublished - Jan 1 2014
Externally publishedYes
EventWorld Congress on Engineering and Computer Science, WCECS 2012 - San Francisco, CA, United States
Duration: Oct 24 2012Oct 26 2012

Publication series

NameLecture Notes in Electrical Engineering
Volume247 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

OtherWorld Congress on Engineering and Computer Science, WCECS 2012
CountryUnited States
CitySan Francisco, CA
Period10/24/1210/26/12

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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  • Cite this

    Inui, S., Okusa, K., Maeno, K., & Kamakura, T. (2014). Statistical recognition of aspiration presence. In IAENG Transactions on Engineering Technologies - Special Issue of the World Congress on Engineering and Computer Science 2012 (pp. 541-553). (Lecture Notes in Electrical Engineering; Vol. 247 LNEE). Springer Verlag. https://doi.org/10.1007/978-94-007-6818-5_38