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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
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.

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Citations
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Proceedings ArticleDOI

Low Complexity Heart Rate Measurement from Wearable Wrist-Type Photoplethysmographic Sensors Robust to Motion Artifacts

TL;DR: This paper presents a low complexity while accurate Heart Rate (HR) estimation technique from signals captured by Photoplethysmographic sensors worn on the wrist during intensive physical exercise that is comparable with state-of-the-art algorithms while at a significantly reduced computational cost.
Journal ArticleDOI

Use of Independent Component Analysis to Reduce Motion Artifact in Pulse Transit Time Measurement

TL;DR: An independent component analysis algorithm based on the minimization of mutual information approach is used to post-process artifact-induced signals used in PTT computations, demonstrating the efficacy of this method in computing PTT measurements.
Proceedings ArticleDOI

A physiological information extraction method based on wearable PPG sensors with motion artifact removal

TL;DR: First, PPG data recorded from wearable sensors are pre-processed by discrete wavelet transform to remove unwanted noise and extract AC/DC component and characteristic points such as peaks and troughs are identified for feature extraction and physiological information extraction.
Proceedings ArticleDOI

Optimum Place for Measuring Pulse Oximeter Signal in Wireless Sensor-Belt or Wrist-Band

TL;DR: This study was done to solve the optimum place for integrated pulse oximeter in case of a belt around human chest or wrist so that it would provide reliable oxygen saturation readings for noninvasive constant health monitoring in modern wireless applications.
Journal ArticleDOI

Longitudinal Magnetic Resonance Imaging as a Potential Correlate in the Diagnosis of Alzheimer Disease: Exploratory Data Analysis

Afreen
TL;DR: A substantial correlation has been observed between the pattern and other related features of longitudinal MRI data that can significantly assist in the diagnosis and determination of AD in older patients.
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

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.
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