Reconstruction of the aortic pressure waveform using a two-level adaptive transfer function strategy

被引：0

作者：

Du, Shuo ^{[1
]}

Liu, Wenyan ^{[1
]}

Yao, Yang ^{[2
]}

Sun, Guozhe ^{[3
]}

He, Ying ^{[4
]}

Alastruey, Jordi ^{[5
,6
]}

Xu, Lisheng ^{[1
,7
]}

Yao, Yudong ^{[8
]}

Qian, Wei ^{[1
]}

机构：

[1] College of Medicine and Biological Information Engineering, Northeastern University, Liaoning, Shenyang,110169, China

[2] School of Information Science and Technology, ShanghaiTech University, Shanghai,201210, China

[3] Department of Cardiology, The First Hospital of China Medical University, Liaoning, Shenyang,110122, China

[4] School of Energy and Power Engineering, Dalian University of Technology, Liaoning, Dalian,116024, China

[5] Department of Biomedical Engineering, King's College, London,SE1 7EH, United Kingdom

[6] World-Class Research Center, Digital Biodesign and Personalized Healthcare, Sechenov First Moscow State Medical University, Moscow,119991, Russia

[7] Neusoft Research of Intelligent Healthcare Technology, Co. Ltd., Liaoning, Shenyang,110169, China

[8] Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken,NJ,07030, United States

来源：

Measurement: Journal of the International Measurement Confederation | 2022年 / 204卷

基金：

中国国家自然科学基金;

关键词：

Blood pressure - Blood vessels;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Existing studies cannot estimate the high-frequency components of the aortic pressure waveform (APW) practically and reliably. To solve this problem, a two-level adaptive transfer function (ATF) strategy was proposed. Two ATFs were derived from raw and normalized brachial and aortic pressure waveforms. The APW was reconstructed with the amplitude and pulsatility information from the two ATFs. Experimental results showed that our method achieved lower errors for total waveform, diastolic blood pressure, the pressures at the start-systolic and dicrotic-notch points, and three high-frequency-dependent indices including the pressure at inflection point, augmentation index and the time interval from foot to inflection points (3.11 versus 4.24 mmHg, 1.74 versus 1.94 mmHg, 2.56 versus 2.75 mmHg, 6.94 versus 7.47 mmHg, 3.35 versus 3.80 mmHg, 9.56 versus 10.48 % and 24.64 versus 27.73 ms, respectively) compared with traditional generalized transfer function. The proposed method can accurately estimate both the shape and high-frequency components of APW. © 2022 Elsevier Ltd

引用

共 50 条

[1] Reconstruction of the aortic pressure waveform using a two-level adaptive transfer function strategy
Du, Shuo
Liu, Wenyan
Yao, Yang
Sun, Guozhe
He, Ying
Alastruey, Jordi
Xu, Lisheng
Yao, Yudong
Qian, Wei
MEASUREMENT, 2022, 204
[2] Personalized aortic pressure waveform estimation from brachial pressure waveform using an adaptive transfer function
Du, Shuo
Yao, Yang
Sun, Guozhe
Wang, Lu
Alastruey, Jordi
Avolio, Alberto P.
Xu, Lisheng
COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 155
[3] An adaptive transfer function for deriving the aortic pressure waveform from a peripheral artery pressure waveform
Swamy, Gokul
Xu, Da
Olivier, N. Bari
Mukkamala, Ramakrishna
AMERICAN JOURNAL OF PHYSIOLOGY-HEART AND CIRCULATORY PHYSIOLOGY, 2009, 297 (05): : H1956 - H1963
[4] Validation of an Adaptive Transfer Function Method to Estimate the Aortic Pressure Waveform
Yao, Yang
Xu, Lisheng
Sun, Yingxian
Fu, Qiang
Zhou, Shuran
He, Dianning
Zhang, Yahui
Guo, Liang
Zheng, Dingchang
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2017, 21 (06) : 1599 - 1606
[5] Estimation of the Aortic Pressure Waveform from a Peripheral Artery Pressure Waveform via an Adaptive Transfer Function
Swamy, Gokul
Mukkamala, Ramakrishna
Olivier, N. Bari
2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8, 2008, : 1385 - +
[6] A New Approach to Reconstruction of Central Aortic Blood Pressure Using "Adaptive" Transfer Function
Hahn, Jin-Oh
Asada, H. Harry
Reisner, Andrew T.
Jaffer, Farouc A.
2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8, 2008, : 813 - +
[7] Reconstruction of Continuous Brachial Arterial Pressure From Continuous Finger Arterial Pressure Using a Two-Level Optimization Strategy
Zhang, Pandeng
Liu, Chang
Chen, Haibo
Liu, Jia
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 67 (11) : 3173 - 3184
[8] Reconstruction of central aortic pressure waveform using adaptive multi-channel identification
Hahn, Jin-Oh
Reisner, Andrew
Hojman, Horacio
Asada, H. Harry
2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15, 2006, : 64 - 67
[9] Estimation of the Aortic Pressure Waveform from a Radial Artery Pressure Waveform via an Adaptive Transfer Function: Feasibility Demonstration in Swine
Swamy, Gokul
Xu, Da
Mukkamala, Ramakrishna
2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20, 2009, : 2362 - 2364
[10] Two-level interaction approach for transfer function specification
Prauchner, JL
Freitas, CMDS
Comba, JLD
SIBGRAPI 2005: XVIII BRAZILIAN SYMPOSIUM ON COMPUTER GRAPHICS AND IMAGE PROCESSING, CONFERENCE PROCEEDINGS, 2005, : 265 - 272

← 1 2 3 4 5 →