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
Proceedings ArticleDOI
Comparison of different signal processing methods for reducing artifacts from photoplethysmograph signal
TL;DR: A comparison of five different signal processing methods implemented towards motion artifact reduction which include Adaptive Noise Cancellation (ANC), Wavelet Transform (WT), Independent Component Analysis (ICA), Singular Value Decomposition (SVD), SVD and Cycle by Cycle Fourier Series Analysis (FSA).
Proceedings ArticleDOI
Integrating mobile and cloud for PPG signal selection to monitor heart rate during intensive physical exercise
TL;DR: A novel technique for accurately determining heart rate during intensive motion by classifying PPG signals obtained from smartphones or wearable devices combined with motion data obtained from accelerometer sensors is presented.
Proceedings ArticleDOI
Computationally efficient heart rate estimation during physical exercise using photoplethysmographic signals
TL;DR: This work proposes a method that provides highly accurate heart rate estimates at a very low computational cost in order to be implementable on wearables and outperforms state-of-the-art methods on current benchmark data considerably in terms of computation time, while achieving a similar accuracy.
Journal ArticleDOI
Automatic and tunable algorithm for EEG artifact removal using wavelet decomposition with applications in predictive modeling during auditory tasks
Nikesh Bajaj,Nikesh Bajaj,Jesus Requena Carrion,Francesco Bellotti,Riccardo Berta,Alesandro De Gloria +5 more
TL;DR: An algorithm based on wavelet packet decomposition (WPD) that allows controlling the suppression or removal of presumed artifacts, by tuning intuitive parameters is proposed and performs better than ICA-based approach and performance can be further improved by properly tuning the parameters for an individual predictive model.
Implementation of Accelerometer-Based Adaptive Noise Cancellation in a Wireless Wearable Pulse Oximeter Platform for Remote Physiological Monitoring and Triage
TL;DR: This paper presents a meta-anatomy of the determinants of infectious disease in eight operation rooms and some of the mechanisms leading to diarrhoea and vomiting are described.
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.