Online Removal of Baseline Shift with a Polynomial Function for Hemodynamic Monitoring Using Near-Infrared Spectroscopy
Near-infrared spectroscopy (NIRS) has become widely accepted as a valuable tool for noninvasively monitoring hemodynamics for clinical and diagnostic purposes. Baseline shift has attracted great attention in the field, but there has been little quantitative study on baseline removal. Here, we aimed...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/18/1/312 |
id |
doaj-602ad69f625640f9b4f6a51ff9fd6415 |
---|---|
record_format |
Article |
spelling |
doaj-602ad69f625640f9b4f6a51ff9fd64152020-11-25T00:59:51ZengMDPI AGSensors1424-82202018-01-0118131210.3390/s18010312s18010312Online Removal of Baseline Shift with a Polynomial Function for Hemodynamic Monitoring Using Near-Infrared SpectroscopyKe Zhao0Yaoyao Ji1Yan Li2Ting Li3State Key lab Elect Thin Film & Integrated Device University of Electronic Science and Technology of China, Chengdu 610054, ChinaState Key lab Elect Thin Film & Integrated Device University of Electronic Science and Technology of China, Chengdu 610054, ChinaDesign Center Avic Beijing Keeven Aviation Instrument Co., Ltd., China Aviation Industry Corporation, Beijing 100098, ChinaState Key lab Elect Thin Film & Integrated Device University of Electronic Science and Technology of China, Chengdu 610054, ChinaNear-infrared spectroscopy (NIRS) has become widely accepted as a valuable tool for noninvasively monitoring hemodynamics for clinical and diagnostic purposes. Baseline shift has attracted great attention in the field, but there has been little quantitative study on baseline removal. Here, we aimed to study the baseline characteristics of an in-house-built portable medical NIRS device over a long time (>3.5 h). We found that the measured baselines all formed perfect polynomial functions on phantom tests mimicking human bodies, which were identified by recent NIRS studies. More importantly, our study shows that the fourth-order polynomial function acted to distinguish performance with stable and low-computation-burden fitting calibration (R-square >0.99 for all probes) among second- to sixth-order polynomials, evaluated by the parameters R-square, sum of squares due to error, and residual. This study provides a straightforward, efficient, and quantitatively evaluated solution for online baseline removal for hemodynamic monitoring using NIRS devices.http://www.mdpi.com/1424-8220/18/1/312baseline shiftsfitting functionnear-infrared spectroscopypolynomial function |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ke Zhao Yaoyao Ji Yan Li Ting Li |
spellingShingle |
Ke Zhao Yaoyao Ji Yan Li Ting Li Online Removal of Baseline Shift with a Polynomial Function for Hemodynamic Monitoring Using Near-Infrared Spectroscopy Sensors baseline shifts fitting function near-infrared spectroscopy polynomial function |
author_facet |
Ke Zhao Yaoyao Ji Yan Li Ting Li |
author_sort |
Ke Zhao |
title |
Online Removal of Baseline Shift with a Polynomial Function for Hemodynamic Monitoring Using Near-Infrared Spectroscopy |
title_short |
Online Removal of Baseline Shift with a Polynomial Function for Hemodynamic Monitoring Using Near-Infrared Spectroscopy |
title_full |
Online Removal of Baseline Shift with a Polynomial Function for Hemodynamic Monitoring Using Near-Infrared Spectroscopy |
title_fullStr |
Online Removal of Baseline Shift with a Polynomial Function for Hemodynamic Monitoring Using Near-Infrared Spectroscopy |
title_full_unstemmed |
Online Removal of Baseline Shift with a Polynomial Function for Hemodynamic Monitoring Using Near-Infrared Spectroscopy |
title_sort |
online removal of baseline shift with a polynomial function for hemodynamic monitoring using near-infrared spectroscopy |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2018-01-01 |
description |
Near-infrared spectroscopy (NIRS) has become widely accepted as a valuable tool for noninvasively monitoring hemodynamics for clinical and diagnostic purposes. Baseline shift has attracted great attention in the field, but there has been little quantitative study on baseline removal. Here, we aimed to study the baseline characteristics of an in-house-built portable medical NIRS device over a long time (>3.5 h). We found that the measured baselines all formed perfect polynomial functions on phantom tests mimicking human bodies, which were identified by recent NIRS studies. More importantly, our study shows that the fourth-order polynomial function acted to distinguish performance with stable and low-computation-burden fitting calibration (R-square >0.99 for all probes) among second- to sixth-order polynomials, evaluated by the parameters R-square, sum of squares due to error, and residual. This study provides a straightforward, efficient, and quantitatively evaluated solution for online baseline removal for hemodynamic monitoring using NIRS devices. |
topic |
baseline shifts fitting function near-infrared spectroscopy polynomial function |
url |
http://www.mdpi.com/1424-8220/18/1/312 |
work_keys_str_mv |
AT kezhao onlineremovalofbaselineshiftwithapolynomialfunctionforhemodynamicmonitoringusingnearinfraredspectroscopy AT yaoyaoji onlineremovalofbaselineshiftwithapolynomialfunctionforhemodynamicmonitoringusingnearinfraredspectroscopy AT yanli onlineremovalofbaselineshiftwithapolynomialfunctionforhemodynamicmonitoringusingnearinfraredspectroscopy AT tingli onlineremovalofbaselineshiftwithapolynomialfunctionforhemodynamicmonitoringusingnearinfraredspectroscopy |
_version_ |
1725215639914676224 |