Beat-to-beat estimation of stroke volume using impedance cardiography and artificial neural network.
Impedance cardiography is a low-cost noninvasive technique, based on monitoring of the thoracic impedance, for estimation of stroke volume (SV). Impedance cardiogram (ICG) is the negative of the first derivative of the impedance signal. A technique for beat-to-beat SV estimation using impedance card...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 56; no. 6; pp. 1077 - 1090 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jun2018
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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=129738997&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 129738997 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jun2018 vid: 56 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 129738997 129738997 NLM29150800 10.1007/s11517-017-1752-5 NLM29150800 129738997 ppf: 1077 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Beat-to-beat estimation of stroke volume using impedance cardiography and artificial neural network. aug: au: Naidu, S. M. M. Pandey, Prem C. Bagal, Uttam R. Hardas, Suhas P. affil: Department of Electrical Engineering, Indian Institute of Technology Bombay, 400076, Mumbai, Maharashtra, India sug: subj: Neural Networks (Computer) Stroke Volume Physiology Echocardiography, Doppler Methods Cardiography, Impedance Methods Male Young Adult Signal Processing, Computer Assisted Aged Adult Middle Age Female Algorithms Exercise of Self-Care Agency Scale Scales Aged: 65+ years Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: Impedance cardiography is a low-cost noninvasive technique, based on monitoring of the thoracic impedance, for estimation of stroke volume (SV). Impedance cardiogram (ICG) is the negative of the first derivative of the impedance signal. A technique for beat-to-beat SV estimation using impedance cardiography and artificial neural network (ANN) is proposed. A three-layer feed-forward ANN with error back-propagation algorithm is optimized by examining the effects of number of neurons in the hidden layer, activation function, training algorithm, and set of input parameters. The input parameters are obtained by automatic detection of the ICG characteristic points, and the target values are obtained by beat-to-beat SV measurements from time-aligned Doppler echocardiogram. The technique is evaluated using an ICG-echocardiography database with recordings from subjects with normal health in the under-rest and post-exercise conditions and from subjects with cardiovascular disorders in the under-rest condition. The proposed technique performed much better than the earlier established equation-based estimations, and it resulted in correlation coefficient of 0.93 for recordings from subjects with cardiovascular disorders. It may be helpful in improving the acceptability of impedance cardiography in clinical practice. Graphical abstract ᅟ. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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