• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to project page

1996 Fiscal Year Final Research Report Summary

Quantitative Analysis of 24-Hour Sleep Awake Architecture by Autoregressive Analysis in Preterm Infants

Research Project

Project/Area Number 07670878
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeSingle-year Grants
Section一般
Research Field Pediatrics
Research InstitutionOita Medical University

Principal Investigator

GOTO Kazuya  Oita Medical University・Pediatrics・Assistant Professor, 医学部, 講師 (90178442)

Co-Investigator(Kenkyū-buntansha) MAEDA Tomoki  Oita Medical University・Pediatrics・Research Assistant, 医学部, 助手 (80264349)
Project Period (FY) 1995 – 1996
Keywordsnewborn / sleep / autoregressive analysis. / automated classification / electroencephalogram / respiration / eye movement / piezoelectric transducer
Research Abstract

The purpose of this study is to quantify the sleep architecture in preterm infants. We analyzed 1) 24-hour electroencephalogram (EEG) 2) 24-hour respiratory wave and 3) eye movements recorded by piezoelectric transducer.
We could have developed computerized, automated system which analyze EEG discontinuity. This system provides the degree of EEG discontinuity and its maximum value through 24-hour record. We also developed an autoregressive analysis and evaluate EEG parameters including moving average of minimum AIC (Akaike Information Criteria), total power, and delta power. The results showed that these EEG parameters were well organized both during quiet sleep and active sleep in preterm infants from 30 weeks of conceptional age. With the autoregressive analysis, quiet sleep states could be separated from non quiet sleep states automatically basing on these EEG parameters. 24-hour respiratory wave form were also quantified by an autoregressive analysis. Comparing with active sleep, si … More gnificantly longer damping time was observed in quiet sleep. With damping time and AIC,quiet sleep could be automatically detected with both sufficient sensitivity and specificity. Moreover, normal distribution AIC (n-AIC) has great advantage to quantify the regularity of respiratory wave form more exactly. With n-AIC,24-hour respiratory wave form becomes more regular with increasing conceptional ages. The findings which less AIC variability of 24-hour respiratory wave form was observed in infants with perinatal brain damage suggested that there exits sleep stage abnormality in those infants. We use piezoelectric film PVDF to detect eye movement. This is the first report to use this equipment. Comparing with electrooculogram, piezoelectric film could detect eye movements with sufficient sensitivity. Although this equipment was only applied to shot-term polygraphic recording, artifact could be excluded with simultaneous recording of cheek electromyogram and automated detection of eye movement became possible. Automated detection of body movement is the important problem in order to develop the system of automated sleep state classification. Less

  • Research Products

    (12 results)

All Other

All Publications (12 results)

  • [Publications] Kazuya Goto: "The qumntification of EEG continuity by 24 hour recordings in intraventvicular homothge and periventricaler looksmolear's its prognerlus value in appearisus with conventional EEG romsage" Acta Medica et Biologica. 43. 201-204 (1995)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 後藤 一也: "早産児ポリグラフ脳波の自動定量判読の検討" 脳と発達. 27. S326- (1995)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 高野智幸: "新生児長期生体情報の自動解析システム(第4報)脳波の定量" 脳と発達. 27. S327- (1995)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 佐藤 圭右: "新生児長時間生体情報の自動解析システム(第7報)-AICによる呼吸波形の解析-" 脳と発達. 28. S145- (1996)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 佐藤 圭右: "24時間新生児生体情報自動解析システムの開発と応用-呼吸波形の" 日本小児科学会雑誌. 100. 823- (1996)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Pan Xiao Li: "新生児24時間連続脳波記録の自動解析" 脳と発達. 28. S278 (1996)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Goto Kazuya: "The Quantification of EEG Continuity by 24-hour EEG Recordings in Intraventricular Hemorrhage and Periventricular Leukomalacia ; ; its Prognostic Value in Comparison with Conventional EEG Recordings" Acta Medica et Biologica. 43. 201-204 (1995)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] Goto Kazuya: "Automated Analysis of Polygraphic EEG in Preterm Infants" No To Hattatsu. 27 (suppl). s326 (1995)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] Takano Tomoyuki: "System for Automated Analysis of Neonatal Long Term Monitoring of Biophsyiological Information : ; EEG Quantification" No To Hattatsu. 27 (suppl). s327 (1995)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] Sato Keisuke: "System for Automated Analysis of Neonatal Long Term Monitoring of Biophsyiological Information : AIC of Respiratory Wave Form" No To Hattatsu. 27 (suppl). s145 (1996)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] Sato Keisuke: "Development and Application of System for Automated Analysis of Neonatal 24-hour Monitoring of Biophsyiological Information : Fluctuation of Respiratory Wave Form" Acta Pediatrica Japonica. 100. 823 (1996)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] Pan Xiao Li: "Automated Analysis of Neonatal 24-hour EEG Recording Term Monitoring of Biophsyiological Information" No To Hattatsu. 28 (suppl). s278 (1996)

    • Description
      「研究成果報告書概要(欧文)」より

URL: 

Published: 1999-03-09  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi