Literature DB >> 11322533

A new method for pulse oximetry possessing inherent insensitivity to artifact.

M J Hayes1, P R Smith.   

Abstract

A new method for pulse oximetry is presented that possesses an inherent insensitivity to corruption by motion artifact, a primary limitation in the practical accuracy and clinical applicability of current technology. Artifact corruption of the underlying photoplethysmographic signals is reduced in real time, using an electronic processing methodology that is based upon inversion of a physical artifact model. This fundamental approach has the potential to provide uninterrupted output and superior accuracy under conditions of sustained subject motion, therefore, widening the clinical scope of this useful measurement. A new calibration technique for oxygen saturation is developed for use with these processed signals, which is shown to be a generalization of the classical interpretation. The detailed theoretical and practical issues of implementation are then explored, highlighting important engineering simplifications implicit in this new approach. A quantitative investigation of the degree of insensitivity to artifact is also undertaken, with the aid of a custom electronic system and commercial pulse oximeter probes, which is compared and contrasted with the performance of a conventional implementation. It is demonstrated that this new methodology results in a reduced sensitivity to common classes of motion artifact, while retaining the generality to be combined with conventional signal processing techniques.

Entities:  

Mesh:

Year:  2001        PMID: 11322533     DOI: 10.1109/10.915711

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  12 in total

1.  A computational system to optimise noise rejection in photoplethysmography signals during motion or poor perfusion states.

Authors:  Jong Yong A Foo; Stephen J Wilson
Journal:  Med Biol Eng Comput       Date:  2006-03       Impact factor: 2.602

2.  Sensor fusion using a hybrid median filter for artifact removal in intraoperative heart rate monitoring.

Authors:  Ping Yang; Guy A Dumont; J Mark Ansermino
Journal:  J Clin Monit Comput       Date:  2009-02-07       Impact factor: 2.502

3.  Angle-selective optical filter for highly sensitive reflection photoplethysmogram.

Authors:  Chan-Sol Hwang; Sung-Pyo Yang; Kyung-Won Jang; Jung-Woo Park; Ki-Hun Jeong
Journal:  Biomed Opt Express       Date:  2017-09-07       Impact factor: 3.732

Review 4.  Wireless and battery-free platforms for collection of biosignals.

Authors:  Tucker Stuart; Le Cai; Alex Burton; Philipp Gutruf
Journal:  Biosens Bioelectron       Date:  2021-01-23       Impact factor: 10.618

5.  Wearable speckle plethysmography (SPG) for characterizing microvascular flow and resistance.

Authors:  Michael Ghijsen; Tyler B Rice; Bruce Yang; Sean M White; Bruce J Tromberg
Journal:  Biomed Opt Express       Date:  2018-07-30       Impact factor: 3.732

6.  Toward Ubiquitous Blood Pressure Monitoring via Pulse Transit Time: Theory and Practice.

Authors:  Ramakrishna Mukkamala; Jin-Oh Hahn; Omer T Inan; Lalit K Mestha; Chang-Sei Kim; Hakan Töreyin; Survi Kyal
Journal:  IEEE Trans Biomed Eng       Date:  2015-06-05       Impact factor: 4.538

7.  Reduction of motion artifact in pulse oximetry by smoothed pseudo Wigner-Ville distribution.

Authors:  Yong-Sheng Yan; Carmen Cy Poon; Yuan-Ting Zhang
Journal:  J Neuroeng Rehabil       Date:  2005-03-01       Impact factor: 4.262

8.  A Comparative Study of Physiological Monitoring with a Wearable Opto-Electronic Patch Sensor (OEPS) for Motion Reduction.

Authors:  Abdullah Alzahrani; Sijung Hu; Vicente Azorin-Peris
Journal:  Biosensors (Basel)       Date:  2015-06-08

9.  A multi-channel opto-electronic sensor to accurately monitor heart rate against motion artefact during exercise.

Authors:  Abdullah Alzahrani; Sijung Hu; Vicente Azorin-Peris; Laura Barrett; Dale Esliger; Matthew Hayes; Shafique Akbare; Jérôme Achart; Sylvain Kuoch
Journal:  Sensors (Basel)       Date:  2015-10-12       Impact factor: 3.576

10.  iPhone 4s photoplethysmography: which light color yields the most accurate heart rate and normalized pulse volume using the iPhysioMeter Application in the presence of motion artifact?

Authors:  Kenta Matsumura; Peter Rolfe; Jihyoung Lee; Takehiro Yamakoshi
Journal:  PLoS One       Date:  2014-03-11       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.