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Sensors 2018, 18(1), 312; https://doi.org/10.3390/s18010312

Online Removal of Baseline Shift with a Polynomial Function for Hemodynamic Monitoring Using Near-Infrared Spectroscopy

1,2,†
,
1
,
3
and
1,2,†,*
1
State Key lab Elect Thin Film & Integrated Device University of Electronic Science and Technology of China, Chengdu 610054, China
2
Biomedical Engineering Institute, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin 300192, China
3
Design Center Avic Beijing Keeven Aviation Instrument Co., Ltd., China Aviation Industry Corporation, Beijing 100098, China
Institutions equally and mostly contributed.
*
Author to whom correspondence should be addressed.
Received: 29 November 2017 / Revised: 13 January 2018 / Accepted: 16 January 2018 / Published: 21 January 2018
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Abstract

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. View Full-Text
Keywords: baseline shifts; fitting function; near-infrared spectroscopy; polynomial function baseline shifts; fitting function; near-infrared spectroscopy; polynomial function
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Zhao, K.; Ji, Y.; Li, Y.; Li, T. Online Removal of Baseline Shift with a Polynomial Function for Hemodynamic Monitoring Using Near-Infrared Spectroscopy. Sensors 2018, 18, 312.

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