Journal ArticleDOI
Motion artifact reduction in photoplethysmography using independent component analysis
B.S. Kim,Sun Kook Yoo +1 more
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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.read more
Citations
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Journal ArticleDOI
Deep recurrent neural network-based autoencoder for photoplethysmogram artifacts filtering
TL;DR: A neural network-based filtering method to remove corrupted windows from the collected PPG data in an unsupervised manner and a PPGData summarization and augmentation strategy which optimizes the network performances are proposed.
Journal ArticleDOI
SVM-Based Spectral Analysis for Heart Rate from Multi-Channel WPPG Sensor Signals
TL;DR: A mixed approach called Mix-SVM is proposed, it can use multi-channel WPPG sensor signals and simultaneous acceleration signals to measurement heart rate and it has potential for multi-Channel WPPG-based heart rate estimation in the presence of intense physical exercise.
Journal ArticleDOI
Characterization of Artifact Signals in Neck Photoplethysmography
TL;DR: The analysis showed that different respiratory states that could be of clinical interests, such as presence of apneas, were also distinguishable from sources of interference, and are important for the development of PPG denoising algorithms and subsequent obtention of biomarkers of interest.
Proceedings ArticleDOI
Robust Heart Rate Estimation from PPG Signals with Intense Motion Artifacts using Cascade of Adaptive Filter and Recurrent Neural Network
TL;DR: A real-time technique for estimating HR using a cascaded architecture of adaptive filter and recurrent neural networks (RNN) with HR estimation tracking with lower mean absolute error than other cutting edge techniques.
Journal ArticleDOI
Novel tailoring algorithm for abrupt motion artifact removal in photoplethysmogram signals.
TL;DR: A new framework to identify and tailor the abrupt MAs in PPG is proposed, which consists of feature extraction, change-point detection, and MA removal, and it can be further applied for the calculation of blood oxygen level (SpO2).
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.