scispace - formally typeset
Journal ArticleDOI

Motion artifact reduction in photoplethysmography using independent component analysis

B.S. Kim, +1 more
- 21 Feb 2006 - 
- Vol. 53, Iss: 3, pp 566-568
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

Sensors based Biomedical Framework to Monitor Patient’s Vital Parameters

TL;DR: A biomedical system which measures the heart rate, pulse rate, respiration rate and transmits the data over a network for remote monitoring and can be used eminently for remote health care.
Journal ArticleDOI

A new approach to HR monitoring using photoplethysmographic signals during intensive physical exercise

TL;DR: In this article, a method combining multichannel photoplethysmography (PPG) signals is proposed to address the problem of accurate estimation of the heart rate (HR) using PPG because of the interference of motion artifacts.
Journal ArticleDOI

A Motion Heart-Rate Monitor Watch with Improved Grey Differential Equation Model Based on Reflective Photoplethysmography

TL;DR: In this paper, a motion HR monitor watch has been presented, which mainly focused on two categories: the HR extraction algorithm derived from grey differential equation model (abbreviated as GM(1, 1) model) combined with acceleration model and the enhanced hardware structure designed with 523nm green leds.

FastBVP-Net: a lightweight pulse simulation network for measuring heart rhythm via facial videos

TL;DR: FastBVP-Net as discussed by the authors proposes a multi-frequency mode signal fusion mechanism to suppress the noise components and get stable blood volume pulse (BVP) signals quickly, and develops an oversampling training strategy to solve the unbalanced distribution of HR in the dataset.
Proceedings Article

Autonomous Heart Rate Tracking Methodology Using Kalman Filter and the EM Algorithm

TL;DR: An approach to automatically tune the KF based HR tracker based on the expectation maximization (EM) algorithm is developed and the applicability of the proposed approach is demonstrated using an open-source PPG database that was recorded during varying pre-determined physical activities.
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

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.
Related Papers (5)