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Journal ArticleDOI

Motion artifact reduction in photoplethysmography using independent component analysis

B.S. Kim, +1 more
- 21 Feb 2006 - 
- Vol. 53, Iss: 3, pp 566-568
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TLDR
The motion artifacts were reduced by exploiting the quasi-periodicity of the PPG signal and the independence between the P PG and the motion artifact signals by the combination of independent component analysis and block interleaving with low-pass filtering.
Abstract
Removing the motion artifacts from measured photoplethysmography (PPG) signals is one of the important issues to be tackled for the accurate measurement of arterial oxygen saturation during movement. In this paper, the motion artifacts were reduced by exploiting the quasi-periodicity of the PPG signal and the independence between the PPG and the motion artifact signals. The combination of independent component analysis and block interleaving with low-pass filtering can reduce the motion artifacts under the condition of general dual-wavelength measurement. Experiments with synthetic and real data were performed to demonstrate the efficacy of the proposed algorithm.

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Citations
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Journal ArticleDOI

Two-Pronged Motion Artifact Reduction for Wearable Photoplethysmographic Biosensors

Yuan Jiang
TL;DR: By integrating the auxiliary sensor and exploiting its correlations with the optical PPG sensor, not only do the authors cancel the artifacts but also, at the same time, enhance the signal of interest.
Journal ArticleDOI

AFODSS: Heart Rate Estimation Method From Photoplethysmographic Signals With Motion Artifacts Using Fourier-Sparse Dual Optimization

TL;DR: A dual-optimization technique using adaptive Fourier decomposition in conjunction with sparse spectral reconstruction (AFODSS) using a multiple measurement vectors (MMVs) model and a regularized bi-conjugate gradient focal underdetermined system solver (BCG-FOCUSS) algorithm is proposed.
Book ChapterDOI

Photoplethysmography signal processing and synthesis

TL;DR: In this article , fundamental signal processing techniques used to analyze the PPG signal are presented, covering preprocessing techniques; analysis in the time and frequency domains; the application of machine learning; and methods to estimate physiological parameters from PPG signals.
Proceedings ArticleDOI

Improved signal quality indication for photoplethysmographic signals incorporating motion artifact detection.

TL;DR: It will be shown that typical motions can be detected on-line, thereby providing additional information which will significantly improve signal quality assessments, and certain quality indices have been proposed to evaluate the signal conditions.
Dissertation

Photoplethysmography-Based Biomedical Signal Processing

Tim Schack
TL;DR: Two computationally efficient algorithms are presented that estimate the heart rate from two PPG signals using a three axis accelerometer for the estimation of heart rate during physical activity and the monitoring of cardiovascular health.
References
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Book

Independent Component Analysis

TL;DR: Independent component analysis as mentioned in this paper is a statistical generative model based on sparse coding, which is basically a proper probabilistic formulation of the ideas underpinning sparse coding and can be interpreted as providing a Bayesian prior.
Journal ArticleDOI

Fast and robust fixed-point algorithms for independent component analysis

TL;DR: Using maximum entropy approximations of differential entropy, a family of new contrast (objective) functions for ICA enable both the estimation of the whole decomposition by minimizing mutual information, and estimation of individual independent components as projection pursuit directions.
Journal ArticleDOI

A dynamical model for generating synthetic electrocardiogram signals

TL;DR: A dynamical model based on three coupled ordinary differential equations is introduced which is capable of generating realistic synthetic electrocardiogram (ECG) signals and may be employed to assess biomedical signal processing techniques which are used to compute clinical statistics from the ECG.
BookDOI

Design of Pulse Oximeters

TL;DR: In this paper, the authors present a user interface for a pulse oximeter, based on an interface provided by Lozano-Nieto and Schowalter, with a discussion of the application of pulse oximetry.
Journal ArticleDOI

A new method for pulse oximetry possessing inherent insensitivity to artifact

TL;DR: 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.
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