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http://everest.psnc.pl/users/generation_service/ https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://schema.org/copyrightHolder http://rohub.org/ext/23a5f57afae234898933d4ec590ff15e https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://schema.org/creator http://everest.psnc.pl/users/generation_service/ https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://schema.org/dateCreated 2018-06-20 11:32:10.095000+00:00 https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://schema.org/dateModified 2025-03-05 01:04:16.758186+00:00 https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://schema.org/datePublished 2018-06-20 11:32:10.095000+00:00 https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://schema.org/description In this paper, we have proposed multiscale fractal dimension (MSFD) technique to characterize signals at multiple time scales. In this technique, multiple scales of the signal are obtained by segment averaging and the complexity of the resulting signals at those scales is quantified using multiresolution area-based fractal dimension measure. The technique is applied to intracranial EEG records and meditation HRV signals to detect change in states of physiological systems. We have considered two types of meditation techniques and pre-meditation state is used as control state against which MSFD parameters are group matched. The proposed MSFD technique has provided good performance and statistically significant results in discriminating epileptic seizures and meditation states from corresponding controls. The technique can be used in diverse applications of signal processing. https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://schema.org/endTime 2011-01-01 https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://schema.org/identifier https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3 https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://schema.org/name MULTISCALE FRACTAL DIMENSION TECHNIQUE FOR CHARACTERIZATION AND ANALYSIS OF BIOMEDICAL SIGNALS https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://w3id.org/ro/earth-science#Concept AND https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://w3id.org/ro/earth-science#Concept averaging 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http://w3id.org/ro/earth-science#FieldOfResearch earth sciences https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://w3id.org/ro/earth-science#Lemma averaging https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://w3id.org/ro/earth-science#Lemma complexity https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://w3id.org/ro/earth-science#Lemma fractal https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://w3id.org/ro/earth-science#Lemma meditation https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://w3id.org/ro/earth-science#Lemma multiscale fractal dimension https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://w3id.org/ro/earth-science#Lemma signal https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://w3id.org/ro/earth-science#Lemma technique https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://w3id.org/ro/earth-science#NASA life sciences https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://w3id.org/ro/earth-science#Phrase dimension measure https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://w3id.org/ro/earth-science#Phrase meditation HRV signal https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://w3id.org/ro/earth-science#Phrase meditation state https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://w3id.org/ro/earth-science#Phrase msfd parameter https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://w3id.org/ro/earth-science#Phrase msfd technique https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://w3id.org/ro/earth-science#Sentence In this paper, we have proposed multiscale fractal dimension (MSFD) technique to characterize signals at multiple time scales. https://w3id.org/ro-id/180e7125-75f2-408c-b375-09d723ef38e3/ http://w3id.org/ro/earth-science#Sentence In this technique, multiple scales of the signal are obtained by segment 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