Exploring total cardiac variability in healthy and pathophysiological subjects using improved refined multiscale entropy.
Multiscale entropy (MSE) and refined multiscale entropy (RMSE) techniques are being widely used to evaluate the complexity of a time series across multiple time scales 't'. Both these techniques, at certain time scales (sometimes for the entire time scales, in the case of RMSE), assign higher entrop...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 55; no. 2; pp. 191 - 206 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Feb2017
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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=121002484&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 121002484 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Feb2017 vid: 55 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 121002484 121002484 NLM27108288 10.1007/s11517-016-1476-y NLM27108288 121002484 ppf: 191 ppct: 15 formats: fmt: @attributes: type: P tig: atl: Exploring total cardiac variability in healthy and pathophysiological subjects using improved refined multiscale entropy. aug: au: Marwaha, Puneeta Sunkaria, Ramesh Sunkaria, Ramesh Kumar affil: Department of Electronics and Communication Engineering , Dr. B. R. Ambedkar National Institute of Technology , Jalandhar 144011 India sug: subj: Signal Processing, Computer Assisted Heart Diseases Physiopathology Electrocardiography Methods Data Analysis, Statistical Female Physics Adult Middle Age Heart Failure Physiopathology Male Analysis of Variance Death, Sudden, Cardiac Atrial Fibrillation Physiopathology Resource Databases Age Factors Aged Clinical Assessment Tools Scales Short Portable Mental Status Questionnaire Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Female Male ab: Multiscale entropy (MSE) and refined multiscale entropy (RMSE) techniques are being widely used to evaluate the complexity of a time series across multiple time scales 't'. Both these techniques, at certain time scales (sometimes for the entire time scales, in the case of RMSE), assign higher entropy to the HRV time series of certain pathologies than that of healthy subjects, and to their corresponding randomized surrogate time series. This incorrect assessment of signal complexity may be due to the fact that these techniques suffer from the following limitations: (1) threshold value 'r' is updated as a function of long-term standard deviation and hence unable to explore the short-term variability as well as substantial variability inherited in beat-to-beat fluctuations of long-term HRV time series. (2) In RMSE, entropy values assigned to different filtered scaled time series are the result of changes in variance, but do not completely reflect the real structural organization inherited in original time series. In the present work, we propose an improved RMSE (I-RMSE) technique by introducing a new procedure to set the threshold value by taking into account the period-to-period variability inherited in a signal and evaluated it on simulated and real HRV database. The proposed I-RMSE assigns higher entropy to the age-matched healthy subjects than that of patients suffering from atrial fibrillation, congestive heart failure, sudden cardiac death and diabetes mellitus, for the entire time scales. The results strongly support the reduction in complexity of HRV time series in female group, old-aged, patients suffering from severe cardiovascular and non-cardiovascular diseases, and in their corresponding surrogate time series. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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