Journal ArticleDOI
Motion artifact reduction in photoplethysmography using independent component analysis
B.S. Kim,Sun Kook Yoo +1 more
Reads0
Chats0
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
More filters
Journal ArticleDOI
Heart rate estimation from photoplethysmography signal for wearable health monitoring devices
K.R. Arunkumar,M. Bhaskar +1 more
TL;DR: A novel de-noising technique using the hierarchical structure of cascade and parallel combinations of two different pairs of adaptive filters which reduces MA from the PPG signal and improves HR estimation is proposed.
Proceedings ArticleDOI
I am a "Smart" watch, Smart Enough to Know the Accuracy of My Own Heart Rate Sensor
TL;DR: This work points out that the light intensity readings at the photoplethysmography (PPG) sensor can be an effective indicator of heart rate accuracy, and shows that it is possible to design a filter that allows smartwatches to self-classify measurement quality with ~ 98% accuracy.
Patent
Method and apparatus for removing motion artifacts from biomedical signals
TL;DR: In this article, a method and corresponding apparatus employ a time-varying spectral analysis approach for reconstructing a heart-related signal that includes motion artifacts, where the motion artifacts are produced by motion of a biomedical sensor relative to a sensing location.
Journal ArticleDOI
Metaheuristic-Based Dimensionality Reduction and Classification Analysis of PPG Signals for Interpreting Cardiovascular Disease
TL;DR: In this work, an in-depth analysis of classification of Cardiovascular Disease (CVD) is done with the help of Capnobase dataset and metaheuristic optimization algorithms are utilized as dimensionality reduction techniques.
Proceedings ArticleDOI
A Machine Learning Approach for Heart Rate Estimation from PPG Signal using Random Forest Regression Algorithm
Shikder Shafiul Bashar,Md. Sazal Miah,A. H. M. Zadidul Karim,Md. Abdullah Al Mahmud,Zahid Hasan +4 more
TL;DR: The capability of proposed machine learning-empowered system in HR estimation from PPG signal is shown and the lowest mean absolute error found was 1.11 beats per minute (BPM).
References
More filters
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.