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Monitoring of personalized trait in Oscillometric Arterial Blood Pressure Measurements (OABPM) uses the Linear Discriminant Analysis (LDA) algorithm. The representation of personalized traits with features from the oscillometric waveforms using LDA algorithm includes four phases. Data collection consists of blood pressure data using auscultatory measurements and pressure oscillations data obtained from the oscillometric method. Preprocessing involves the normalization of various sized oscillometric waveforms to a uniform size. Feature extraction involves the use of features from oscillometric amplitudes, and trait identification involves the use of the LDA algorithm. In this paper, it presents a novel OABPM\u2010based blood pressure monitoring system that can monitor personalized blood pressure pattern. Our approach can reduce sensitivity to fluctuations in blood pressure with the features extracted from the whole area in oscillometric arterial blood pressure measurement. Therefore this technique offers reliable blood pressure patterns. This study provides a cornerstone for the diagnosis and management of hypertension in the foreseeable future.<\/jats:p>","DOI":"10.1155\/2012\/591252","type":"journal-article","created":{"date-parts":[[2012,2,20]],"date-time":"2012-02-20T21:03:03Z","timestamp":1329771783000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Monitoring Personalized Trait Using Oscillometric Arterial Blood Pressure Measurements"],"prefix":"10.1155","volume":"2012","author":[{"given":"Young-Suk","family":"Shin","sequence":"first","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2012,2,20]]},"reference":[{"key":"e_1_2_7_1_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF02367308"},{"key":"e_1_2_7_2_2","doi-asserted-by":"crossref","unstructured":"MoraesJ. C. T. B. CerulliM. andNgP. S. 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