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[An attempt to classify patients with dementia by detrended fluctuation analysis of electroencephalographic data --a preliminary study]

Autor: Sayomi, Yamamoto, Ryuko, Imai, Takao, Uchiike, Reiko, Mizuno, Yasuyuki, Okamoto

Publikováno v: Rinsho byori. The Japanese journal of clinical pathology. 61(1)

We investigated changes of the scaling exponent alpha estimated by detrended fluctuation analysis (DFA) of electroencephalograms (EEG) in patients with dementia including Alzheimer's disease(AD), and attempted to apply a method of pattern recognition

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::1e1abc60fc5fb619d99e8d19a065700d
https://pubmed.ncbi.nlm.nih.gov/23672076

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[Relationships among frequency domain and non-linear parameters from heart rate variability]

Autor: Yasuyuki, Okamoto, Ryuko, Imai, Hideko, Yoshida, Komiyama, Taeka, Chizuko, Kuramoto

Publikováno v: Rinsho byori. The Japanese journal of clinical pathology. 59(8)

Frequency domain analysis of heart rate variability (HRV) is used for the evaluation of autonomic activity. Non-linear domain parameters from HRV are also considered useful. However, properties of the latter have not yet been clearly characterized. T

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::c6df1cfea977e9cf709a9f930033bd23
https://pubmed.ncbi.nlm.nih.gov/21942087

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[Detection of mental task-induced changes in EEG patterns by detrended fluctuation analysis (DFA)]

Autor: Ryuko, Imai, Yasuyuki, Okamoto

Publikováno v: Rinsho byori. The Japanese journal of clinical pathology. 56(5)

The detection of mental task-induced changes in electroencephalograms (EEGs) is a challenge. We herein attempted to identify such changes with a long-range correlation parameter, represented as a scaling exponent estimated by detrended fluctuation an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::355558a5325cad0a35d09ade89bf4be8
https://pubmed.ncbi.nlm.nih.gov/18546887

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[Elimination of electrocardiogram artifacts from electroencephalogram records by using the simultaneously recorded electrocardiograph data]

Autor: Yasuyuki, Okamoto, Michi, Yuki, Ryuko, Imai, Yoshiyuki, Shinki, Masami, Yamanaka, Takayuki, Masutani

Publikováno v: Rinsho byori. The Japanese journal of clinical pathology. 50(12)

We developed a simple method to eliminate electrocardiogram (ECG) artifacts from electroencephalogram (EEG) records by using simultaneously recorded ECG data. The raw EEG data, the real EEG data and the ECG data were regarded as multi-dimensional vec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::2c3e25ca34e4e651f66ea050debad2ad
https://pubmed.ncbi.nlm.nih.gov/12652684

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