Using high-dimensional features for high-accuracy pulse diagnosis
type: Item
instance of: scholarly article
title: Using high-dimensional features for high-accuracy pulse diagnosis
zbMATH Open document ID: 1471.92157
author: C. H. Huang
author: Yu-Min Wang
author: S. Smith
published in: Mathematical Biosciences and Engineering
publication date: 2021-09-03T00:00:00Z
Mathematics Subject Classification ID: 92C50
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62H25
Mathematics Subject Classification ID: 68T07
zbMATH DE Number: 7390435
zbMATH Keywords: high-dimensional features
zbMATH Keywords: pulse classification
zbMATH Keywords: principal component analysis
zbMATH Keywords: artificial neural network
MaRDI profile type: Publication
Wikidata QID: Q104619343
full work available at URL: mbe.2020353
OpenAlex ID: W3091915511
cites work: Arrhythmic pulses detection using Lempel-Ziv complexity analysis
cites work: Approximate entropy as a measure of system complexity.
cites work: The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
cites work: The wavelet transform, time-frequency localization and signal analysis
cites work: Ten Lectures on Wavelets
DOI: 10.3934/MBE.2020353
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description: scientific article; zbMATH DE number 7390435