Development of a rule-based automatic five-sleep-stage scoring method for rats.
Background: Sleep problem or disturbance often exists in pain or neurological/psychiatric diseases. However, sleep scoring is a time-consuming tedious labor. Very few studies discuss the 5-stage (wake/NREM1/NREM2/transition sleep/REM) automatic fine analysis of wake-sleep stages in rodent models. Th...
| Publicado en: | BioMedical Engineering OnLine Vol. 18; no. 1 |
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| Autores principales: | , , , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
BioMed Central
9/4/2019
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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=138430604&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 138430604 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1475925X 1CGX jtl: BioMedical Engineering OnLine issn: 1475925X maglogo: N pubinfo: dt: 9/4/2019 vid: 18 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 138430604 138430604 NLM31484584 138430604 10.1186/s12938-019-0712-8 NLM31484584 138430604 ppct: 1 formats: tig: atl: Development of a rule-based automatic five-sleep-stage scoring method for rats. aug: au: Wei, Ting-Ying Young, Chung-Ping Liu, Yu-Ting Xu, Jia-Hao Liang, Sheng-Fu Shaw, Fu-Zen Kuo, Chin-En affil: Dept. of Computer Science and Information Engineering, National Cheng Kung University, 701, Tainan, Taiwan sug: subj: Sleep Stages Signal Processing, Computer Assisted Wakefulness Automation Animals Rats Polysomnography Electroencephalography Hyperalgesia Physiopathology ab: Background: Sleep problem or disturbance often exists in pain or neurological/psychiatric diseases. However, sleep scoring is a time-consuming tedious labor. Very few studies discuss the 5-stage (wake/NREM1/NREM2/transition sleep/REM) automatic fine analysis of wake-sleep stages in rodent models. The present study aimed to develop and validate an automatic rule-based classification of 5-stage wake-sleep pattern in acid-induced widespread hyperalgesia model of the rat.Results: The overall agreement between two experts' consensus and automatic scoring in the 5-stage and 3-stage analyses were 92.32% (κ = 0.88) and 94.97% (κ = 0.91), respectively. Standard deviation of the accuracy among all rats was only 2.93%. Both frontal-occipital EEG and parietal EEG data showed comparable accuracies. The results demonstrated the performance of the proposed method with high accuracy and reliability. Subtle changes exhibited in the 5-stage wake-sleep analysis but not in the 3-stage analysis during hyperalgesia development of the acid-induced pain model. Compared with existing methods, our method can automatically classify vigilance states into 5-stage or 3-stage wake-sleep pattern with a promising high agreement with sleep experts.Conclusions: In this study, we have performed and validated a reliable automated sleep scoring system in rats. The classification algorithm is less computation power, a high robustness, and consistency of results. The algorithm can be implanted into a versatile wireless portable monitoring system for real-time analysis in the future. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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