An improved algorithm for respiration signal extraction from electrocardiogram measured by conductive textile electrodes using instantaneous frequency estimation.
In this paper, an improved algorithm for the extraction of respiration signal from the electrocardiogram (ECG) in home healthcare is proposed. The whole system consists of two-lead electrocardiogram acquisition using conductive textile electrodes located in bed, baseline fluctuation elimination, R-w...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 46; no. 2; pp. 147 - 159 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Feb2008
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105747470&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105747470 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Feb2008 vid: 46 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105747470 NLM18210178 2009889433 10.1007/s11517-007-0302-y NLM18210178 105747470 ppf: 147 ppct: 12 formats: fmt: @attributes: type: P tig: atl: An improved algorithm for respiration signal extraction from electrocardiogram measured by conductive textile electrodes using instantaneous frequency estimation. aug: au: Park SB Noh YS Park SJ Yoon HR Park, Sung-Bin Noh, Yeon-Sik Park, Sung-Jun Yoon, Hyoung-Ro affil: Department of Biomedical Engineering, Yonsei University, Wonju, South Korea sug: subj: Algorithms Electrocardiography Methods Respiratory Mechanics Signal Processing, Computer Assisted Electrocardiography Equipment and Supplies Electrodes Home Health Care Male Textiles Human Male ab: In this paper, an improved algorithm for the extraction of respiration signal from the electrocardiogram (ECG) in home healthcare is proposed. The whole system consists of two-lead electrocardiogram acquisition using conductive textile electrodes located in bed, baseline fluctuation elimination, R-wave detection, adjustment of sudden change in R-wave area using moving average, and optimal lead selection. In order to solve the problems of previous algorithms for the ECG-derived respiration (EDR) signal acquisition, we are proposing a method for the optimal lead selection. An optimal EDR signal among the three EDR signals derived from each lead (and arctangent of their ratio) is selected by estimating the instantaneous frequency using the Hilbert transform, and then choosing the signal with minimum variation of the instantaneous frequency. The proposed algorithm was tested on 15 male subjects, and we obtained satisfactory respiration signals that showed high correlation (r(2) > 0.8) with the signal acquired from the chest-belt respiration sensor. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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