Journal ArticleDOI
Motion artifact reduction in photoplethysmography using independent component analysis
B.S. Kim,Sun Kook Yoo +1 more
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.read more
Citations
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MotionArtifact Reduction andDataCompression ofPhotoplethysmo-graphic Signals utilizing Cycle byCycle Fourier Series Analysis
TL;DR: In this article, a Fourier series analysis on a cycle by cycle basis was applied to remove motion artifacts from corrupted PPG signals by applying Fourier-series analysis on the cyclic basis.
Journal ArticleDOI
HRCal: An effective calibration system for heart rate detection during exercising
TL;DR: HRCal, a novel Heart Rate Calibration System, is proposed, which establishes a Long Short-Term Memory (LSTM) model to calibrate the detection of heart rate based on multisensor data fusion and has a remarkable effect on common sports watches, to improve their accuracy ofheart rate detection in physical training.
Proceedings ArticleDOI
An efficient ICA approach based on neural network framework for biomedical applications
TL;DR: A block-wise approach for ICA algorithms which can improve the computational efficiency of ICA without the degradation of performance for the separation of biomedical signals is developed.
Proceedings ArticleDOI
Robust Estimation of Pulse Rate from a Wrist-type PPG During Intensive Exercise
TL;DR: A new method for deriving pulse rate under intense exercise conditions which employs Ensemble Empirical Mode Decomposition and power spectral analysis to extract the pulsatile component of the signal.
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
M.J. Hayes,P.R. Smith +1 more
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.