About: Sparse Matrix for ECG Identification with Two-Lead Features

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scientific article published on 16 April 2015

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована у 2015 (uk) im Januar 2015 veröffentlichter wissenschaftlicher Artikel (de) scientific article published on 16 April 2015 (en) artículu científicu espublizáu n'abril de 2015 (ast)
publication date	wds:Q59121299-8322B253-0DE5-4178-831E-A218FB25530C
publication date	2015-04-16 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q59121299-8203E8A0-2741-436C-9258-8B27EBFF8BDE
language of work or name	English
cites work	wds:Q59121299-26AE8A31-FBC5-40CD-98A8-2DDFE0EDB85D wds:Q59121299-604AD5A5-5201-45EF-819C-FD218EA7715C wds:Q59121299-610A267F-2C23-44B0-84E1-DC096D57E7B6 wds:Q59121299-63FCBFB0-DF0D-4168-B5B8-9214E5938E51 wds:Q59121299-7F8C21EE-A885-42CF-ABF2-022D23860B1C wds:Q59121299-B026FCB7-84E7-4A3A-A574-9857B542AFC5 wds:Q59121299-BDE422A0-B847-467A-B636-B0A88659B1DD wds:Q59121299-D212B7E3-4CD8-4E2C-8EA8-3B42C7DC4167 wds:Q59121299-E07FD046-EF77-4A59-BCAA-2BC5316996B9 wds:Q59121299-EDF23FBA-72A2-4C1F-896B-135E86CA26FA
cites work	Analysis of a complex of statistical variables into principal components On lines and planes of closest fit to systems of points in space PhysioBank, PhysioToolkit, and PhysioNet : Components of a New Research Resource for Complex Physiologic Signals Linguistic Analysis of the Human Heartbeat Using Frequency and Rank Order Statistics Principal Component Analysis in ECG Signal Processing A novel blind watermarking of ECG signals on medical images using EZW algorithm. Wavelet-based ECG compression using dynamic vector quantization with tree codevectors in single codebook. Immediate diagnosis of acute myocardial infarction by two-dimensional echocardiography Implementing of SPIHT and Sub-band Energy Compression (SEC) Method on Two-Dimensional ECG Compression: A Novel Approach. Biometric Statistical Study of One-Lead ECG Features and Body Mass Index (BMI).
author name string	wds:Q59121299-507FDE00-72F1-4878-A931-E64C93E5F359 wds:Q59121299-61DE0507-3753-4908-9F00-143DF55717B3 wds:Q59121299-8C0D73DF-B413-44A9-BCEE-F92CB96F87A5 wds:Q59121299-FD73C19A-85B8-45F1-830C-EFEADD3BC603
author name string	Jiao Luo Kuo-Kun Tseng Wenmin Wang Dong Haiting
rdfs:label	Sparse Matrix for ECG Identification with Two-Lead Features (en) Sparse Matrix for ECG Identification with Two-Lead Features (nl)
skos:prefLabel	Sparse Matrix for ECG Identification with Two-Lead Features (en) Sparse Matrix for ECG Identification with Two-Lead Features (nl)
name	Sparse Matrix for ECG Identification with Two-Lead Features (en) Sparse Matrix for ECG Identification with Two-Lead Features (nl)
author	wds:Q59121299-10C1E34A-C5E3-4993-BA7A-1A38D8369C82
author	Robert Hegarty
title	wds:Q59121299-CB8B99E2-6C02-4123-8EEB-18202F93C375
title	Sparse Matrix for ECG Identification with Two-Lead Features (en)
page(s)	wds:Q59121299-CD48C94A-B5F9-494E-AB45-EE9512BFC7C5
page(s)	656807
instance of	wds:Q59121299-620B4D56-3B4C-4FC4-AA10-5FC132C8D73F
instance of	scholarly article
PubMed ID	wds:Q59121299-A0BDB8A5-992A-4D02-8B58-38EE0E067A42
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/25961074
PubMed ID	25961074
published in	wds:Q59121299-B9B2C282-AA1D-4209-BCF8-22BD5A75E6EC
published in	The Scientific World Journal
volume	wds:Q59121299-F0C65B9E-F7F2-4999-99D4-22276802A295
volume	2015
DOI	wds:Q59121299-7DB5AE58-B427-4E16-8768-77188004FD54
DOI	http://dx.doi.org/10.1155/2015/656807
DOI	10.1155/2015/656807
copyright license	wds:Q59121299-5D161D08-2A62-400B-9011-F043A14B6D2B
copyright status	wds:Q59121299-1BEFDE1E-95E3-4653-BC5F-9A608D7E44D3
copyright license	Creative Commons Attribution 3.0 Unported
copyright status	copyrighted
PMCID	wds:Q59121299-3F7C8FCD-F853-45D6-9576-EB4CABCAE33E
PMCID	4415669
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q59121299
is cites work of	Electrocardiograph Identification Using Hybrid Quantization Sparse Matrix and Multi-Dimensional Approaches
is cites work of	wds:Q60947082-E9C064C2-28F0-4FBD-9A46-5877C91E0DF4

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