Experimental respiratory signal analysis based on Empirical Mode Decomposition

Karagiannis, A; Loizou, L; Constantinou, P

dc.contributor.author	Karagiannis, A	en
dc.contributor.author	Loizou, L	en
dc.contributor.author	Constantinou, P	en
dc.date.accessioned	2014-03-01T02:45:16Z
dc.date.available	2014-03-01T02:45:16Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32244
dc.subject	Decomposition Method	en
dc.subject	Empirical Mode Decomposition	en
dc.subject	Signal Analysis	en
dc.subject	Wireless Sensor Network	en
dc.subject.other	Biosignal	en
dc.subject.other	Biosignals	en
dc.subject.other	Clinical environments	en
dc.subject.other	Decomposition methods	en
dc.subject.other	Empirical mode decomposition	en
dc.subject.other	Invasive techniques	en
dc.subject.other	Method of processing	en
dc.subject.other	Noninvasive technique	en
dc.subject.other	Pathological conditions	en
dc.subject.other	Processing technique	en
dc.subject.other	Respiration monitoring	en
dc.subject.other	Respiratory signals	en
dc.subject.other	Spectral characteristics	en
dc.subject.other	Acoustic signal processing	en
dc.subject.other	Gateways (computer networks)	en
dc.subject.other	Sensor networks	en
dc.subject.other	Signal analysis	en
dc.subject.other	Wireless telecommunication systems	en
dc.subject.other	Wireless sensor networks	en
dc.title	Experimental respiratory signal analysis based on Empirical Mode Decomposition	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ISABEL.2008.4712581	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ISABEL.2008.4712581	en
heal.identifier.secondary	4712581	en
heal.publicationDate	2008	en
heal.abstract	Respiration is a widely used biosignal which is combined with other biosignals in order to extract information about the physiological or pathological conditions that may occur in the development of a treatment. Acquisition of respiration in a clinical environment is usually accomplished by standard hospital equipment and minimum invasive techniques. In this paper a non invasive technique is used for respiration monitoring based on accelerometers. The acquired signal is sampled and transmitted through a wireless sensor network to the gateway point (sink) where it is processed. Empirical Mode Decomposition (EMD) is considered as a method of processing of biosignals such as respiration and the application of the decomposition method in experimental signals acquired by means of a wireless sensor network is evaluated. The processing technique covered in this paper is based on selecting the appropriate signals (IMF) in which respiration is decomposed, by their spectral characteristics that correspond to respiration.	en
heal.journalName	2008 1st International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2008	en
dc.identifier.doi	10.1109/ISABEL.2008.4712581	en