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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Proceedings ArticleDOI
LiDAR-Based Pedestrian Detection Using Multiple Features and Dimensionality Reduction Scheme
TL;DR: Li et al. as mentioned in this paper proposed a scheme of dimensionality reduction based on variational autoencoder (VAE), through its encoder, the high-dimensional feature is refined and mapped into a meaningful lowdimensional feature space that still retains representative features.
Proceedings ArticleDOI
Development of software of the pulse wave data analysis and management system
TL;DR: A friendly interface of human-computer interaction system to automatically analyze the descriptive parameters of pulse wave, recognize the types of pulse waves based on the BP network, and establish a database to help users manage the pulse wave data is designed.
Motion Artifact Reduction in Impedance Plethysmography Signal
TL;DR: The main aim of this dissertation is to develop adaptive and non-adaptive filtering algorithms to address the problem of motion artifact reduction from the IP signal.
Proceedings ArticleDOI
Performance Analysis of Least Square Linear Regression with Various Classifiers for Cardiovascular Respiratory Detection from Capnography
TL;DR: In this paper , the PPG signal was taken from a capnography data source and used along with statistical characteristics and machine learning techniques to diagnose respiratory disorders, and the results showed that the linear regression and nonlinear classifiers gave the best accuracy of 88.11% and 85.73% for both normal and respiratory disease cases.
Proceedings ArticleDOI
A Flexible-Window Filtering Technique for Interference Suppression in SpO2 Monitoring
TL;DR: In this article , a flexible-window filtering technique is proposed to suppress the interferences in SpO2 monitoring, which can be used in assessing or screening symptoms such as pulmonary embolism.
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.