EMG variance during polysomnography as an assessment for REM sleep behavior disorder.
STUDY OBJECTIVES: In a previous study, we validated a polysomnographic assessment for REM sleep behavior disorder (RBD). The method proved to be reliable but required slow, labor-intensive visual scoring of surface electromyogram (EMG) activity. We therefore developed a computerized metric to assess...
| Publicado en: | Sleep Vol. 30; no. 12; pp. 1771 - 1779 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Oxford University Press / USA
2007 Dec 1
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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=105895647&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105895647 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01618105 2EI jtl: Sleep issn: 01618105 maglogo: N pubinfo: dt: 2007 Dec 1 vid: 30 iid: 12 pid: 622 pub: Oxford University Press / USA artinfo: ui: 105895647 2009751233 NLM18246986 105895647 ppf: 1771 ppct: 8 formats: tig: atl: EMG variance during polysomnography as an assessment for REM sleep behavior disorder. aug: au: Burns JW Consens FB Little RJ Angell KJ Gilman S Chervin RD affil: Michigan Tech Research Institute, 3600 Green Court, Suite 100, Ann Arbor, MI 48105; joseph.burns@mtu.edu sug: subj: Electromyography Equipment and Supplies Parasomnias Diagnosis Polysomnography Equipment and Supplies Signal Processing, Computer Assisted Equipment and Supplies Aged Algorithms Data Display Female Male Mathematics Middle Age Neurodegenerative Diseases Complications Neurodegenerative Diseases Diagnosis Parasomnias Etiology ROC Curve Aged: 65+ years Middle Aged: 45-64 years Female Male ab: STUDY OBJECTIVES: In a previous study, we validated a polysomnographic assessment for REM sleep behavior disorder (RBD). The method proved to be reliable but required slow, labor-intensive visual scoring of surface electromyogram (EMG) activity. We therefore developed a computerized metric to assess EMG variance and compared the results to those previously published for visual scoring, bed partner-rated RBD symptom scores, and clinical assessments by sleep medicine specialists. DESIGN: Retrospective validation of new computer algorithm. SETTING: Sleep research laboratory PARTICIPANTS: Twenty-three subjects: 17 with neurodegenerative disorders (9 with probable or possible RBD), and 6 controls. INTERVENTIONS: N/A METHODS: We visually scored 2 consecutive nocturnal polysomnograms for each subject. A computer algorithm calculated the variance of the chin EMG during all 3-second mini-epochs, and compared variances during REM sleep to a threshold defined by variances during quiet NREM sleep. The percentage of all REM mini-epochs with variance above this threshold created a metric, which we refer to as the supra-threshold REM EMG activity metric (STREAM) for each subject. RESULTS: The STREAM correlated highly with the visually-derived score for RBD severity (Spearman rho = 0.87, P < 0.0001). A clinical impression of probable or possible RBD was associated to a similar extent with both STREAM (Wilcoxon rank sum test, P = 0.009) and the visually-derived score (P = 0.018). An optimal STREAM cutoff identified probable or possible RBD with 100% sensitivity and 71% specificity. The RBD symptom score correlated with both STREAM (rho = 0.42, P = 0.046) and the visual score (rho = 0.42, P = 0.048). CONCLUSIONS: These results suggest that a new, automated assessment for RBD may provide as much utility as a more time-consuming manual approach. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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