{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T10:30:41Z","timestamp":1763202641639,"version":"build-2065373602"},"reference-count":66,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2022,7,26]],"date-time":"2022-07-26T00:00:00Z","timestamp":1658793600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>In this paper, a multi-fractal analysis on a diastolic blood pressure signal is conducted. The signal is measured in a time span of circa one day through the multifractal detrended fluctuation analysis framework. The analysis is performed on asymptotic timescales where complex regulating mechanisms play a fundamental role in the blood pressure stability. Given a suitable frequency range and after removing non-stationarities, the blood pressure signal shows interesting scaling properties and a pronounced multifractality imputed to long-range correlations. Finally, a binomial multiplicative model is investigated showing how the analyzed signal can be described by a concise multifractal model with only two parameters.<\/jats:p>","DOI":"10.3390\/a15080259","type":"journal-article","created":{"date-parts":[[2022,7,26]],"date-time":"2022-07-26T22:03:42Z","timestamp":1658873022000},"page":"259","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Multifractal Characterization and Modeling of Blood Pressure Signals"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4915-0723","authenticated-orcid":false,"given":"Enrico","family":"De Santis","sequence":"first","affiliation":[{"name":"Department of Information Engineering, Electronics and Telecommunications, University of Rome \u201cLa Sapienza\u201d, Via Eudossiana 18, 00184 Rome, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4165-6789","authenticated-orcid":false,"given":"Parisa","family":"Naraei","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1730-5436","authenticated-orcid":false,"given":"Alessio","family":"Martino","sequence":"additional","affiliation":[{"name":"Department of Business and Management, LUISS University, Viale Romania 32, 00197 Rome, Italy"}]},{"given":"Alireza","family":"Sadeghian","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8244-0015","authenticated-orcid":false,"given":"Antonello","family":"Rizzi","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Electronics and Telecommunications, University of Rome \u201cLa Sapienza\u201d, Via Eudossiana 18, 00184 Rome, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2022,7,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Nie, C.Y., Sun, H.X., and Wang, J. 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