Journal of Diagnostic Techniques and Biomedical AnalysisISSN: 2469-5653

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Aasen T Author

torbjorn@aasens.net 47-91750 384

Subjects of specialization
Physiological time series; Drift; Symbolic dynamics; Information pattern

Affiliation
National Competence Service for Vestibular Disorders, Department of Otorhinolaryngology, Head and Neck Surgery, Haukeland University Hospital, N-5021 Bergen, Norway

Biography

Aasen T National Competence Service for Vestibular Disorders, Department of Otorhinolaryngology, Head and Neck Surgery, Haukeland University Hospital, N-5021 Bergen, Norway

Publications

Short Communication Open Access

Physiological Time Series: Analyse and Remove the Drift in 1-2-3

Author(s):

Aasen T and Nordahl SHG

A precondition for developing diagnostic tools based on analysing physiological time series is that there is pattern, i.e. information, in the data. Systematic variation in the data set is often masked by baseline drift and physiological fluctuations. In this study a simplest possible algorithm to eliminate the effect of drift and detect short-term pattern in physiological data is presented. The time series, xi, is filtered for the occurrences of three consecutive points with different values (xi ≠ xi+1 ≠ xi+2). Six different patterns are identified. The probability distribution of the pattern suggests if the time series is random or generated from a possible goal directed regulating activity. If the information entropy of the probability distribution ... view more»

DOI: 10.4172/2469-5653.1000117

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