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Authors: Monica Fira 1 ; Liviu Goras 2 ; Victor-Andrei Maiorescu 2 and Mihaela Catalina Luca 3

Affiliations: 1 Romanian Academy, Romania ; 2 Romanian Academy and “Gheorghe Asachi” Technical University of Iaşi, Romania ; 3 Romanian Academy and University of Medicine and Pharmacy, Romania

Keyword(s): ECG, Compressed Sensing, Classification.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Cardiovascular Imaging and Cardiography ; Cardiovascular Technologies ; Health Engineering and Technology Applications ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Pattern Recognition ; Signal Processing ; Software Development ; Software Engineering ; Symbolic Systems

Abstract: In this paper, we investigated the benefits of compressed acquisition for monitoring applications of patients with various heart diseases. The possibility of heartbeat acquisition followed by classification into one of two classes, namely, normal beats or pathological has been approached using patient-specific dictionaries. Moreover, several types of projection matrices (matrices with random i.i.d. elements sampled from the Gaussian or Bernoulli distributions, and matrices optimized for the particular dictionary used in reconstruction by means of appropriate algorithms) have been compared. The dictionaries used in the reconstruction phase were built with and without centred R waves.

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Paper citation in several formats:
Fira, M.; Goras, L.; Maiorescu, V. and Luca, M. (2016). Compressed Sensing and Classification of Cardiac Beats using Patient Specific Dictionaries. In Proceedings of the International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AGEINGWELL 2016) - ICT4AWE; ISBN 978-989-758-180-9; ISSN 2184-4984, SciTePress, pages 173-179. DOI: 10.5220/0005793401730179

@conference{ict4awe16,
author={Monica Fira. and Liviu Goras. and Victor{-}Andrei Maiorescu. and Mihaela Catalina Luca.},
title={Compressed Sensing and Classification of Cardiac Beats using Patient Specific Dictionaries},
booktitle={Proceedings of the International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AGEINGWELL 2016) - ICT4AWE},
year={2016},
pages={173-179},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005793401730179},
isbn={978-989-758-180-9},
issn={2184-4984},
}

TY - CONF

JO - Proceedings of the International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AGEINGWELL 2016) - ICT4AWE
TI - Compressed Sensing and Classification of Cardiac Beats using Patient Specific Dictionaries
SN - 978-989-758-180-9
IS - 2184-4984
AU - Fira, M.
AU - Goras, L.
AU - Maiorescu, V.
AU - Luca, M.
PY - 2016
SP - 173
EP - 179
DO - 10.5220/0005793401730179
PB - SciTePress

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