Applied Technology with an Improved ICA Algortihm and its Application in Heart Rate Measurement

Yang Wang; Pei Xiang Tan; An Yuan Chen

doi:10.4028/www.scientific.net/AMR.1046.92

Paper Titles

Biodegradation of Aniline by Alkaliphilic Strain Bacillus sp. Strain AN2 under High Salinity Condition
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Computation for Equation of States of (Mg_0.92, Fe_0.08)SiO₃Perovskite Based on Mie-Grüneisen-Debye Model
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Applied Technology in Feasibility Assessment of Photoplethysmograph Computing for Heart Rate Variability Application
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Research on Image Segmentation Technology with Tissue Section Cell Segmentation Algorithm
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Applied Technology with an Improved ICA Algortihm and its Application in Heart Rate Measurement
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Facile Synthesis of Symmetrical Homonucleotides of Antiviral Nucleosides
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A Synthetic Approach for the Preparation of P¹-AZT-5′-P³-d4T-5′-Triphosphate
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Synthesis of Phosphonate-Containing 2-Methyl-1,5-Diaminopentane Derivatives
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Synthesis of Two Analogs of AKT Inhibitor-IV via Amine-Exchange Reactions
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1046Applied Technology with an Improved ICA Algortihm...

Applied Technology with an Improved ICA Algortihm and its Application in Heart Rate Measurement

Abstract:

Heart rate is an important idicator of human physiology,it has great significance for human health in the long-term monitoring process.This research is based on Photo Plethysmo Graphy (PPG) principle.First,get some video via webcam,and then extract the signal of Face PPG.We proposed an improved ICA agortihm,because of the heart rate signal is a non-stationary and nonlinear signal,then,HHT-domain analysis of Face PPG signal.Finally,we succeeed in measuring of the heart-rate.The experimental results show that,using the improved ICA algortihm ,it is not only reduce the iteration ,but also has better measurement.

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Advanced Materials Research (Volume 1046)

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92-95

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1046.92

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Online since:

October 2014

Authors:

Yang Wang*, Pei Xiang Tan, An Yuan Chen

Keywords:

Face Recognition, Heart Rate, Independnt Component Analysis, PPG Signal

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