Blood Pressure Estimation based on Gaussian Mixture Model가우시안 혼합모델기반 혈압추정
- Other Titles
- 가우시안 혼합모델기반 혈압추정
- Authors
- Chang, Joon Hyuk; Lee, Soojeong; Park, Jihwan
- Issue Date
- Aug-2014
- Publisher
- 한국음향학회
- Citation
- 음성통신 및 신호처리 학술대회, v.31, no.1, pp.112 - 116
- Indexed
- OTHER
- Journal Title
- 음성통신 및 신호처리 학술대회
- Volume
- 31
- Number
- 1
- Start Page
- 112
- End Page
- 116
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/25806
- Abstract
- This paper proposes a new method to determine the systolic and diastolic blood pressure ratios (SBPR and DBPR) utilizing a Gaussian mixture model (GMM). The relevant features, which clearly discriminate the SBPR and DBPR according to the targeted groups, are selected in a feature pool. The selected feature is then represented by the GMM. The SBPR and DBPR are subsequently estimated with the help of the Gaussian mixture model regression (GMR) and then mapped back to SBP and DBP values that are more accurate than those obtained with the conventional method.
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