Predicting depressed patients with suicidal ideation from ECG recordings.
Globally suicidal behavior is the third most common cause of death among patients with major depressive disorder (MDD). This study presents multi-lag tone-entropy (T-E) analysis of heart rate variability (HRV) as a screening tool for identifying MDD patients with suicidal ideation. Sixty-one ECG rec...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 55; no. 5; pp. 793 - 806 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
May2017
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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=123106929&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 123106929 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: May2017 vid: 55 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 123106929 123106929 144149421 NLM27538398 123106929 10.1007/s11517-016-1557-y NLM27538398 123106929 ppf: 793 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Predicting depressed patients with suicidal ideation from ECG recordings. aug: au: Khandoker, A. Luthra, V. Abouallaban, Y. Saha, S. Ahmed, K. Mostafa, R. Chowdhury, N. Jelinek, H. Khandoker, A H Ahmed, K I Jelinek, H F affil: American Center for Psychiatry and Neurology , Abu Dhabi UAE sug: subj: Depression Physiopathology Depression Psychosocial Factors Aged, 80 and Over Pilot Studies Electrocardiography Methods Female Case Control Studies Male Physics Aged Suicidal Ideation Adult Human Aged, 80 & over Aged: 65+ years Adult: 19-44 years Female Male ab: Globally suicidal behavior is the third most common cause of death among patients with major depressive disorder (MDD). This study presents multi-lag tone-entropy (T-E) analysis of heart rate variability (HRV) as a screening tool for identifying MDD patients with suicidal ideation. Sixty-one ECG recordings (10 min) were acquired and analyzed from control subjects (29 CONT), 16 MDD subjects with (MDDSI+) and 16 without suicidal ideation (MDDSI-). After ECG preprocessing, tone and entropy values were calculated for multiple lags (m: 1-10). The MDDSI+ group was found to have a higher mean tone value compared to that of the MDDSI- group for lags 1-8, whereas the mean entropy value was lower in MDDSI+ than that in CONT group at all lags (1-10). Leave-one-out cross-validation tests, using a classification and regression tree (CART), obtained 94.83 % accuracy in predicting MDDSI+ subjects by using a combination of tone and entropy values at all lags and including demographic factors (age, BMI and waist circumference) compared to results with time and frequency domain HRV analysis. The results of this pilot study demonstrate the usefulness of multi-lag T-E analysis in identifying MDD patients with suicidal ideation and highlight the change in autonomic nervous system modulation of the heart rate associated with depression and suicidal ideation. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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