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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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Proceedings ArticleDOI

Artifact Detection of Wrist Photoplethysmograph Signals

TL;DR: PPG and ACM-derived features do not improve the performance, suggesting that ACM recording could be avoided from the point of view for detecting MNA in PPG signals during daily life.
Proceedings ArticleDOI

PPG pulse direction determination algorithm for PPG waveform inversion by wrist rotation

TL;DR: An algorithm is presented, which accurately yields which direction PPG pulses face regardless of wrist movement, one step closer to robust real-time PPG pulse direction determination for continuous PPG monitoring regardless of body movements.
Proceedings ArticleDOI

A PPG Signal De-Noising Method Based on the DTCWT and the Morphological Filtering

TL;DR: This paper proposes a PPG signal de-noising algorithm based on dual-tree complex wavelet transform (DTCWT) and morphological filtering and shows that this algorithm could remove the power line interference and EMG interference, and the quantitative index of SNR and mean square error is superior to the traditional threshold de- noising algorithm.
Proceedings ArticleDOI

Efficient tracking of heart rate under physical exercise from photoplethysmographic signals

TL;DR: The proposed algorithm employs a zero-padded DFT to provide a raw HR estimate with small frequency granularity and feeds it into a Kalman filter to accurately track HR evolution over time, shown to outperform those provided in [2] on all training traces provided for the competition.
Proceedings ArticleDOI

Motion and Noise Artifact-Resilient Atrial Fibrillation Detection Using a Smartphone

TL;DR: An MNA-tolerant AF detection algorithm for smartphones is developed, which first detects MNAs in the smartphone signals, removes them, and finally detects AF from the M NA-free smartphone signals.
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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