Transcript 下載/瀏覽
Enhancing the estimation of blood pressure using pulse arrival time and two confounding factors 使用脈衝到達時間與兩個混雜因素增強估計血壓 Hyun Jae Baek1, Ko Keun Kim2, Jung Soo Kim2, Boreom Lee3 and Kwang Suk Park4,5 Received 2 September 2009, accepted for publication 20 November 2009 Published 11 December 2009 Online at stacks.iop.org/PM/31/145 Adviser: Huang Ji-Jer Presenter:Syu Hao-Yi Date:2012/12/26 Outline Review • • • • Introduction Methods Results Discussion and Conclusions Research Implement • • • Methods Results Future Work References Review Introduction Cardiovascular disease is a global problem Clinical and unconstrained monitoring situations Blood pressure (BP) 、Electrocardiogram (ECG)、 Photoplethysmogram (PPG) Heart rate (HR)、Pulse Arrival Time (PAT)、 Arterial Stiffness Index(TDB) Methods Data collection – Clinical data from dental anesthesia – Data from unconstrained biological signal measurement systems BP estimation parameters Signal processing Methods Data collection – Clinical data from dental anesthesia • Receiving maxillofacial surgery under general anesthesia • Wavelength 940nm a) from Application on a toilet seat signal measurement – Data unconstrained biological b) Application in a vehicle systems • c) Five Application males(24-30years) in the experiments at participated a computer • PAT-based non-intrusive BP monitoring Methods BP estimation parameters – PAT is the time-delay from the ECG R-peak to the characteristic pulse wave point in the peripheral artery – The speed at which the arterial pressure wave travels is directly proportional to BP Methods • Signal processing – Selected parameters for BP estimation using multipleregression analysis were heart rate, pulse arrival time and arterial stiffness index (TDB) Methods • Signal processing – The dicrotic notch wave is small – the first derivative signal for PAT calculation – the zero cross point within the specific range was examined to find the deflection and inflection point in the dicrotic notch during a normal state Results • Single- and multiple-regression analyses – Tables 1 and 2 show the single- and multipleregression correlation coefficients for each individual from data obtained clinically and in unconstrained circumstances Results Results Results • Single- and multiple-regression analyses – Estimation errors also decreased with the multipleregression method in the unconstrained cases Performance enhancement for BP estimation by inclusion of confounding factors in the unconstrained data. Results • Single- and multiple-regression analyses – For clinical cases, the SBP and DBP estimation errors decreased dramatically Performance enhancement for BP estimation by inclusion of confounding factors in clinical data under dental anesthesia. Discussion and conclusions 1) Enhancement of performance for PATbased BP estimation 2) Heart rate as a confounding factor 3) Clinical application for continuous noninvasive BP monitoring 4) Applications for unconstrained BP monitoring in daily healthcare Research Implement Methods • Signal processing – Multi-scale Mathematical Morphology (3M filter),based on set operations, provides a way to analyze signals using nonlinear signal processing operators that incorporate the geometry information of the signal Development of full-featured ECG system for visual stress induced heart rate variability (HRV) assessment This paper appears in: Signal Processing and Information Technology(ISSPIT),2010 IEEE International Symposium on Date of Conference: 15-18 Dec. 2010 Methods • Signal processing – The shape information of the signal is extracted by using a structure element to operate on the signal, such operators serve two purposes, i.e. extracting the useful signal and removing the artifacts Results •The filter result after 3M filter Results • The first derivative signal for PAT calculation Implementing • Shows the parameters employed for BP estimation HR PAT Slope TDB Implementing Implementing Waveform Generator PC NI LabWindows™/CVI 16-Bit, 250 kS/s M Series Multifunction DAQ, Bus-Powered Future Work ECG Circuit Range:0.1~200Hz X-axis: Frequency Y-axis: Voltage Future Work PPG Circuit Range:0.1~200Hz X-axis: Frequency Y-axis: Voltage Future Work • Single and multiple-regression analysis • The production and testing of the hardware • Increased reliably physiological parameters References Hyun Jae Baek1, Ko Keun Kim, Jung Soo Kim, Boreom Lee and Kwang Suk Park4,5 Enhancing the estimation of blood pressure using pulse arrival time and two confounding factors ,This article has been downloaded from IOPscience. Please scroll down to see the full text article. 2010 Physiol. Meas. 31 145(http://iopscience.iop.org/0967-3334/31/2/002) Wanqing Wu, Jungtae Lee, Development of Full-Featured ECG System for Visual Stress Induced Heart Rate Variability (HRV) Assessment, 978-1-4244-99915/11/$26.00 ©2011 IEEE http://taiwan.ni.com/ National Instruments 美商國家儀器股份有限公司台灣分 公司 http://www.picotest.com.tw/Chinese/product/G5100A.html 儀鼎儀器 G5100A 50MHz 任意波形產生器