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      KCI등재 SCOPUS SCIE

      A new approach for blood pressure estimation based on phonocardiogram

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      https://www.riss.kr/link?id=A106841045

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      다국어 초록 (Multilingual Abstract)

      Continuous and non-invasive measurement of blood pressure (BP) is of great importance particularly for patients in criticalstate. To achieve continuous and cuffl ess BP monitoring, pulse transit time (PTT) has been reported as a potential parameter. ...

      Continuous and non-invasive measurement of blood pressure (BP) is of great importance particularly for patients in criticalstate. To achieve continuous and cuffl ess BP monitoring, pulse transit time (PTT) has been reported as a potential parameter.
      Nevertheless, this approach remains very sensitive, cumbersome and disagreeable in ambulatory measurement. This paperproposes a new approach to estimate blood pressure through PCG signal by exploring the correlation between PTT anddiastolic duration (S21). In this purpose, an artifi cial neural network was developed using as input data: (systolic duration,diastolic duration, heart rate, sex, height and weight). According to the NN decision, the mean blood pressure was measuredand consequently the systolic and the diastolic pressures were estimated. The proposed method is evaluated on 37 subjects.
      The obtained results are satisfactory, where, the error in the estimation of the systolic and the diastolic pressures comparedto the commercial blood pressure device was in the order of 6 .48 ± 4.48 mmHg and 3 .91 ± 2.58 mmHg, respectively, whichare very close to the AAMI standard, 5 ± 8 mmHg. This shows the feasibility of estimating of blood pressure using PCG.

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      참고문헌 (Reference)

      1 Perloff D, "The prognostic value of ambulatory blood pressures" 249 (249): 2792-2798, 1983

      2 Nigam V, "Simplicity based gating of heart sounds" IEEE 1298-1301, 2005

      3 Yang X-L, "Research progress of noninvasive continuous blood pressure measurements based on pulse wave velocity" 24 (24): 467-472, 2011

      4 Obrist PA, "Pulse transit time : relationship to blood pressure" 10 (10): 623-626, 1978

      5 Tahar O, "Phonocardiogram signal analysis in the aim of measuring blood pressure" Tlemcen univercity 2017

      6 Dastjerdi AE, "Non-invasive blood pressure estimation using phonocardiogram" IEEE 1-4, 2017

      7 Tahar O, "New parameter available in phonocardiogram for blood pressure estimation" 301-310, 2018

      8 Aizenberg I, "Multilayer feedforward neural network based on multi-valued neurons(MLMVN)and a backpropagation learning algorithm" 11 (11): 169-183, 2007

      9 Zhang X-Y, "Model-based analysis of eff ects of systolic blood pressure on frequency characteristics of the second heart sound" IEEE 2888-2891, 2006

      10 Sakamoto T, "Hemodynamic determinants of the amplitude of the fi rst heart sound" 16 (16): 45-57, 1965

      1 Perloff D, "The prognostic value of ambulatory blood pressures" 249 (249): 2792-2798, 1983

      2 Nigam V, "Simplicity based gating of heart sounds" IEEE 1298-1301, 2005

      3 Yang X-L, "Research progress of noninvasive continuous blood pressure measurements based on pulse wave velocity" 24 (24): 467-472, 2011

      4 Obrist PA, "Pulse transit time : relationship to blood pressure" 10 (10): 623-626, 1978

      5 Tahar O, "Phonocardiogram signal analysis in the aim of measuring blood pressure" Tlemcen univercity 2017

      6 Dastjerdi AE, "Non-invasive blood pressure estimation using phonocardiogram" IEEE 1-4, 2017

      7 Tahar O, "New parameter available in phonocardiogram for blood pressure estimation" 301-310, 2018

      8 Aizenberg I, "Multilayer feedforward neural network based on multi-valued neurons(MLMVN)and a backpropagation learning algorithm" 11 (11): 169-183, 2007

      9 Zhang X-Y, "Model-based analysis of eff ects of systolic blood pressure on frequency characteristics of the second heart sound" IEEE 2888-2891, 2006

      10 Sakamoto T, "Hemodynamic determinants of the amplitude of the fi rst heart sound" 16 (16): 45-57, 1965

      11 Tozawa M, "Evidence for elevated pulse pressure in patients on chronic hemodialysis : a case-control study" 62 (62): 2195-, 2002

      12 Kario K, "Eff ect of dosing time of angiotensin II receptor blockade titrated by self-measured blood pressure recordings on cardiorenal protection in hypertensives : the japan morning surge-target organ protection(j-top)study" 28 (28): 1574-1583, 2010

      13 Hsiao C-C, "Design and implementation of auscultation blood pressure measurement using vascular transit time and physiological parameters" IEEE 2996-3001, 2017

      14 Fung P, "Continuous noninvasive blood pressure measurement by pulse transit time" IEEE 1 : 738-741, 2004

      15 Winter DA, "Biomechanics and motor control of human movement" Wiley 2009

      16 Hirose Y, "Back-propagation algorithm which varies the number of hidden units" 4 (4): 61-66, 1991

      17 Yano Y, "Association of home and ambulatory blood pressure changes with changes in cardiovascular biomarkers during antihypertensive treatment" 25 (25): 306-312, 2012

      18 Omari T, "An automatic wavelet denoising scheme for heart sounds" 13 (13): 1550016-, 2015

      19 Association for the Advancement of Medical Instrumentation, "American national standard. manual, electronic or automated sphygmomanometers. ANSI/AAMI SP10-2002/A1"

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2013-10-01 평가 등재학술지 선정 (기타) KCI등재
      2010-01-01 평가 SCOPUS 등재 (기타) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.19 0.19 0.16
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.14 0.16 0.379 0.21
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