New real-time heartbeat detection method using the angle of a single-lead electrocardiogram.
Comput Biol Med
; 59: 73-79, 2015 Apr.
Article
em En
| MEDLINE
| ID: mdl-25682571
ABSTRACT
This study presents a new real-time heartbeat detection algorithm using the geometric angle between two consecutive samples of single-lead electrocardiogram (ECG) signals. The angle was adopted as a new index representing the slope of ECG signal. The method consists of three steps:
elimination of high-frequency noise, calculation of the angle of ECG signal, and detection of R-waves using a simple adaptive thresholding technique. The MIT-BIH arrhythmia database, QT database, European ST-T database, T-wave alternans database and synthesized ECG signals were used to evaluate the performance of the proposed algorithm and compare with the results of other methods suggested in literature. The proposed method shows a high detection rate-99.95% of the sensitivity, 99.95% of the positive predictivity, and 0.10% of the fail detection rate on the four databases. The result shows that the proposed method can yield better or comparable performance than other literature despite the relatively simple process. The proposed algorithm needs only a single-lead ECG, and involves a simple and quick calculation. Moreover, it does not require post-processing to enhance the detection. Thus, it can be effectively applied to various real-time healthcare and medical devices.Palavras-chave
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Processamento de Sinais Assistido por Computador
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Eletrocardiografia
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Frequência Cardíaca
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Comput Biol Med
Ano de publicação:
2015
Tipo de documento:
Article