Sleep electroencephalography and heart rate variability interdependence amongst healthy subjects and insomnia/schizophrenia patients.
The quantification of interdependencies within autonomic nervous system has gained increasing importance to characterise healthy and psychiatric disordered subjects. The present work introduces a biosignal processing approach, suggesting a computational resource to estimate coherent or synchronised...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 54; no. 1; pp. 77 - 92 |
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| Autores principales: | , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Jan2016
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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=113529487&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 113529487 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jan2016 vid: 54 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 113529487 113529487 NLM25894467 113529487 10.1007/s11517-015-1297-4 NLM25894467 113529487 ppf: 77 ppct: 15 formats: fmt: @attributes: type: P tig: atl: Sleep electroencephalography and heart rate variability interdependence amongst healthy subjects and insomnia/schizophrenia patients. aug: au: Chaparro-Vargas, Ramiro Schilling, Claudia Schredl, Michael Cvetkovic, Dean affil: School of Electrical and Computing Engineering, RMIT University, Melbourne 3121 Australia sug: subj: Sleep Physiology Schizophrenia Physiopathology Insomnia Physiopathology Heart Rate Electroencephalography Case Control Studies Human Female Male Validation Studies Comparative Studies Evaluation Research Multicenter Studies Clinical Assessment Tools Scales Ways of Coping Questionnaire Female Male ab: The quantification of interdependencies within autonomic nervous system has gained increasing importance to characterise healthy and psychiatric disordered subjects. The present work introduces a biosignal processing approach, suggesting a computational resource to estimate coherent or synchronised interactions as an eventual supportive aid in the diagnosis of primary insomnia and schizophrenia pathologies. By deploying linear, nonlinear and statistical methods upon 25 electroencephalographic and electrocardiographic overnight sleep recordings, the assessment of cross-correlation, wavelet coherence and [Formula: see text]:[Formula: see text] phase synchronisation is focused on tracking discerning features amongst the clinical cohorts. Our results indicate that certain neuronal oscillations interact with cardiac power bands in distinctive ways responding to standardised sleep stages and patient groups, which promotes the hypothesis of subtle functional dynamics between neuronal assembles and (para)sympathetic activity subject to pathophysiological conditions. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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