Uma arquitetura para detecção online de transientes em sinais de eletrocardiograma sobre o protocolo PM-AH

A correct identification of transients in the ECG (electrocardiogram) can assist processing methods for ECG signals, since this type of event degrades the signal and can be misleading. Therefore, this paper proposes an architecture for detection of these phenomena, following the current trend of dis...

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Bibliographic Details
Authors: Carvalho, Diego Rodrigues de, Araújo, Bruno Gomes de, Lacerda, João Marcos Teixeira, Dantas, Marcel da Câmara Ribeiro, Hékis, Hélio Roberto, Valentim, Ricardo Alexsandro de Medeiros
Format: article
Status:Published version
Publication Date:2012
Country:Brasil
Institution:Universidade Federal do Rio Grande do Norte (UFRN)
Repository:Repositório Institucional da UFRN
Language:Portuguese
OAI Identifier:oai:repositorio.ufrn.br:123456789/30234
Online Access:https://repositorio.ufrn.br/handle/123456789/30234
Access Level:Open access
Keyword:Transiente
ECG
Transformada Hilbert
PM-AH
Computação distribuída
Description
Summary:A correct identification of transients in the ECG (electrocardiogram) can assist processing methods for ECG signals, since this type of event degrades the signal and can be misleading. Therefore, this paper proposes an architecture for detection of these phenomena, following the current trend of distributed computing, in which a sensor will detect transients at the time of signal acquisition, and then forward this information through a data communication network, designed specifically for hospital automation, to a computing device that will process the data or present it to a trained professional for manual analysis. To perform the detection of transients, a mathematical method based on the Hilbert transform of the ECG signal is proposed here, allied with the MP-HA (Multicycle Protocol for Hospital Automation), with the addition of frames, so that information on the occurrence of transients can be transmitted along with signal data of the electrocardiogram. Among the possible transients, noise was chosen because it is the phenomenon that interferes the most with the processing of ECG signals. Tests were performed using the MIT-BIH Arrhythmia Database, while a mathematical analysis was used in the new frames of the MP-HA protocol in order to demonstrate the consistency of the protocol with this addition