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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Journal ArticleDOI
CorNET: Deep Learning Framework for PPG-Based Heart Rate Estimation and Biometric Identification in Ambulant Environment
Dwaipayan Biswas,Luke R. Everson,Muqing Liu,Madhuri Panwar,Bram-Ernst Verhoef,Shrishail Patki,Chris H. Kim,Amit Acharyya,Chris Van Hoof,Mario Konijnenburg,Nick Van Helleputte +10 more
TL;DR: A novel deep learning framework (CorNET) to efficiently estimate heart rate (HR) information and perform biometric identification (BId) using only a wrist-worn, single-channel PPG signal collected in ambulant environment is presented.
Journal ArticleDOI
Use of Fourier Series Analysis for Motion Artifact Reduction and Data Compression of Photoplethysmographic Signals
TL;DR: Experimental results indicate that the proposed method is insensitive to heart rate variation, introduces negligible error in the processed PPG signals due to the additional processing, preserves all the morphological features of the PPG, provides 35 dB reduction in motion artifacts, and achieves a data compression factor of 12.
Journal ArticleDOI
Artifacts in wearable photoplethysmographs during daily life motions and their reduction with least mean square based active noise cancellation method
Hyonyoung Han,Jung Kim +1 more
TL;DR: A least mean square based active noise cancellation method is applied to the accelerometer data and shows that the proposed method recovers pulse from PPGs efficiently.
Journal ArticleDOI
A Novel Time-Varying Spectral Filtering Algorithm for Reconstruction of Motion Artifact Corrupted Heart Rate Signals During Intense Physical Activities Using a Wearable Photoplethysmogram Sensor
S. M. A. Salehizadeh,Duy K. Dao,Jeffrey B. Bolkhovsky,Chae Ho Cho,Yitzhak Mendelson,Ki H. Chon +5 more
TL;DR: The results show that the SpaMA method has a potential for PPG-based HR monitoring in wearable devices for fitness tracking and health monitoring during intense physical activities and dynamics of heart rate variability can be accurately captured.
Journal ArticleDOI
Improved elimination of motion artifacts from a photoplethysmographic signal using a Kalman smoother with simultaneous accelerometry
TL;DR: The use of the fixed-interval Kalman smoother can reduce motion artifacts in PPG, thus providing the most reliable information that can be deduced from the reconstructed PPG signals.
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.