NDLI: An iintegrated algorithmic and software solution for biological rhythms analysis: Application to long-term data series

Content Provider	IEEE Xplore Digital Library
Author	Markelov, O.A. Bogachev, M.I. Mamontov, O.V. Katinas, G.S.
Copyright Year	2014
Description	Author affiliation: Radio Syst. Dept., St. Petersburg Electrotech. Univ., St. Petersburg, Russia (Markelov, O.A.; Bogachev, M.I.) \|\| Fac. Therapy Dept., Pavlov State Med. Univ., St. Petersburg, Russia (Mamontov, O.V.; Katinas, G.S.)
Abstract	Here we introduce an algorithmic tool to extract significant information out of the long-term physiological monitoring data following an originally designed methodology that is implemented as an integrative software solution. The algorithm consists of several consecutive steps including elimination of outlier measurements, filtering out high-frequency noise, detection of the long-term trend and an enhanced elicitation and analysis procedure of the rhythms based on the spectral analysis of the fluctuations around the detected trend. The designed solutions are especially suited to operate with non-equidistant data series that are common in ambulatory monitoring data due to the limited control over the measurement procedures and elimination of unreliable measurements. The potential application area includes not only the analysis of biological data series but also extends to astronomical, climatological, hydrological, meteorological and other data series. The integrated solution providing the universal analysis algorithm for data sets from different sources is especially interesting for elicitation of various cross-modulation effects like governing of physiological rhythms by astronomic cycles.
Starting Page	1
Ending Page	4
File Size	819169
Page Count	4
File Format	PDF
e-ISBN	9781479962211
DOI	10.1109/MEACS.2014.6986933
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-16
Publisher Place	Russia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Biological rhythms Estimation Long-term data Trend detection Extraterrestrial measurements Physiology Approximation methods Periodogram analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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