{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,2]],"date-time":"2022-04-02T02:28:12Z","timestamp":1648866492508},"reference-count":23,"publisher":"World Scientific Pub Co Pte Lt","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Bifurcation Chaos"],"published-print":{"date-parts":[[2002,12]]},"abstract":" The control of heart rate is primarily due to the function of the human autonomic nervous system. This process is deterministic but highly nonlinear. Due to the rapid response of the central nervous system, the actual heart rate is adjusted on a beat-to-beat basis. In this study, we propose the use of the cluster-weighted filtering (CWF) method to model the underlying deterministic mechanism of the variation of heart intervals. On a gross scale, a Gaussian network is used for function approximation to model the overall complex nonlinear dynamics of heart rate variability. At the same time, a noise reduction strategy based on Bayesian theory is used to eliminate the effects of noise on a finer scale. The algorithm iteratively models the nonlinear dynamics and reduces the noise components simultaneously. The proposed algorithm has been applied to 19 real data sets selected for analysis. The system dynamics was modeled from the experimental data sets. Based on the criterion for reconstruction used in this letter, the results suggested that the underlying deterministic dynamics could be reconstructed. A number of additional tests such as surrogate data and the largest Lyapunov exponent analyses were also carried out. Results confirmed that heart rate variability is a highly nonlinear process. It is further observed that the underlying deterministic mechanism of cardiac dynamics is highly sensitive to the initial conditions. <\/jats:p>","DOI":"10.1142\/s021812740200628x","type":"journal-article","created":{"date-parts":[[2003,3,12]],"date-time":"2003-03-12T02:12:14Z","timestamp":1047435134000},"page":"2967-2976","source":"Crossref","is-referenced-by-count":1,"title":["MODELING AND CHARACTERIZING DETERMINISTIC COMPONENT OF HEART RATE VARIABILITY BY CLUSTER-WEIGHTED FILTERING"],"prefix":"10.1142","volume":"12","author":[{"given":"ZHENYA","family":"HE","sequence":"first","affiliation":[{"name":"Department of Radio Engineering, Southeast University, Nanjing 210096, China"}]},{"given":"WENJIANG","family":"PEI","sequence":"additional","affiliation":[{"name":"Department of Radio Engineering, Southeast University, Nanjing 210096, China"}]},{"given":"LUXI","family":"YANG","sequence":"additional","affiliation":[{"name":"Department of Radio Engineering, Southeast University, Nanjing 210096, China"}]},{"given":"STEPHEN S.","family":"HULL","sequence":"additional","affiliation":[{"name":"University of Oklahoma Health-Sciences Center, Oklahoma City OK 73190, USA"}]},{"given":"JOHN Y.","family":"CHEUNG","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, University of Oklahoma, Norman OK 73019, USA"}]}],"member":"219","published-online":{"date-parts":[[2011,11,20]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1109\/10.536899"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-2789(96)00159-5"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-2789(05)80005-3"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1063\/1.166363"},{"key":"rf5","doi-asserted-by":"publisher","DOI":"10.1016\/0167-2789(91)90037-A"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1038\/16873"},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.1038\/scientificamerican0290-42"},{"key":"rf8","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.61.6538"},{"key":"rf9","doi-asserted-by":"publisher","DOI":"10.1016\/0375-9601(90)90493-8"},{"key":"rf10","doi-asserted-by":"publisher","DOI":"10.1016\/S0735-1097(10)80351-1"},{"key":"rf11","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-2789(98)00089-X"},{"key":"rf12","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-2789(99)00152-9"},{"key":"rf13","doi-asserted-by":"publisher","DOI":"10.1016\/0167-2789(90)90121-5"},{"key":"rf14","doi-asserted-by":"publisher","DOI":"10.1063\/1.165990"},{"key":"rf15","doi-asserted-by":"publisher","DOI":"10.1126\/science.267326"},{"key":"rf16","doi-asserted-by":"publisher","DOI":"10.1109\/79.543975"},{"key":"rf17","doi-asserted-by":"publisher","DOI":"10.1038\/39043"},{"key":"rf18","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-2789(00)00043-9"},{"key":"rf19","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-2789(97)00311-4"},{"key":"rf20","doi-asserted-by":"publisher","DOI":"10.1063\/1.166489"},{"key":"rf21","doi-asserted-by":"publisher","DOI":"10.1038\/344734a0"},{"key":"rf22","doi-asserted-by":"publisher","DOI":"10.1016\/0167-2789(92)90102-S"},{"key":"rf23","doi-asserted-by":"publisher","DOI":"10.1016\/S0375-9601(99)00827-0"}],"container-title":["International Journal of Bifurcation and Chaos"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S021812740200628X","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T11:08:32Z","timestamp":1565176112000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S021812740200628X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002,12]]},"references-count":23,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2011,11,20]]},"published-print":{"date-parts":[[2002,12]]}},"alternative-id":["10.1142\/S021812740200628X"],"URL":"https:\/\/doi.org\/10.1142\/s021812740200628x","relation":{},"ISSN":["0218-1274","1793-6551"],"issn-type":[{"value":"0218-1274","type":"print"},{"value":"1793-6551","type":"electronic"}],"subject":[],"published":{"date-parts":[[2002,12]]}}}