A Knowledge-Based Approach to Arterial Stiffness Estimation Using the Digital Volume Pulse
We have developed a knowledge based approach for arterial stiffness estimation. The proposed new approach reliably estimates arterial stiffness based on the analysis of age and heart rate normalized reflected wave arrival time. The proposed new approach reduces cost, space, technical expertise, spec...
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Published in | IEEE transactions on biomedical circuits and systems Vol. 6; no. 4; pp. 366 - 374 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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United States
IEEE
01.08.2012
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
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Abstract | We have developed a knowledge based approach for arterial stiffness estimation. The proposed new approach reliably estimates arterial stiffness based on the analysis of age and heart rate normalized reflected wave arrival time. The proposed new approach reduces cost, space, technical expertise, specialized equipment, complexity, and increases the usability compared to recently researched noninvasive arterial stiffness estimators. The proposed method consists of two main stages: pulse feature extraction and linear regression analysis. The new approach extracts the pulse features and establishes a linear prediction equation. On evaluating proposed methodology with pulse wave velocity (PWV) based arterial stiffness estimators, the proposed methodology offered the error rate of 8.36% for men and 9.52% for women, respectively. With such low error rates and increased benefits, the proposed approach could be usefully applied as low cost and effective solution for ubiquitous and home healthcare environments. |
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AbstractList | We have developed a knowledge based approach for arterial stiffness estimation. The proposed new approach reliably estimates arterial stiffness based on the analysis of age and heart rate normalized reflected wave arrival time. The proposed new approach reduces cost, space, technical expertise, specialized equipment, complexity, and increases the usability compared to recently researched noninvasive arterial stiffness estimators. The proposed method consists of two main stages: pulse feature extraction and linear regression analysis. The new approach extracts the pulse features and establishes a linear prediction equation. On evaluating proposed methodology with pulse wave velocity (PWV) based arterial stiffness estimators, the proposed methodology offered the error rate of 8.36% for men and 9.52% for women, respectively. With such low error rates and increased benefits, the proposed approach could be usefully applied as low cost and effective solution for ubiquitous and home healthcare environments. |
Author | Dae-Geun Jang Farooq, U. Seung-Hun Park Minsoo Hahn Choong-Won Goh |
Author_xml | – sequence: 1 surname: Dae-Geun Jang fullname: Dae-Geun Jang email: jangdg85@kaist.ac.kr organization: Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea – sequence: 2 givenname: U. surname: Farooq fullname: Farooq, U. email: umarf@khu.ac.kr organization: Dept. of Biomed. Eng., Kyung hee Univ., Suwon, South Korea – sequence: 3 surname: Seung-Hun Park fullname: Seung-Hun Park email: parksh@khu.ac.kr organization: Dept. of Biomed. Eng., Kyung hee Univ., Suwon, South Korea – sequence: 4 surname: Choong-Won Goh fullname: Choong-Won Goh email: gohrick@yahoo.com organization: Dept. of Internal Med., Sanggye-Paik Hosp., Seoul, South Korea – sequence: 5 surname: Minsoo Hahn fullname: Minsoo Hahn email: mshahn@ee.kaist.ac.kr organization: Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/23853181$$D View this record in MEDLINE/PubMed |
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SubjectTerms | Algorithms Ankle Brachial Index Arterial stiffness Arteries - pathology Biomedical Engineering Biomedical measurements Blood Pressure cardiovascular disease Computers Correlation digital volume pulse Electrocardiography Electronics Equipment Design Estimation Feature extraction Female Heart Rate Humans Hypertension Linear Models Male Photoplethysmography - instrumentation Pulse pulse contour analysis Pulse Wave Analysis Reproducibility of Results Signal detection Signal Processing, Computer-Assisted Studies Training Vascular Stiffness |
Title | A Knowledge-Based Approach to Arterial Stiffness Estimation Using the Digital Volume Pulse |
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