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Threshold-Independent QRS Detection Using the Dynamic Plosion Index

Ramakrishnan, A. G ; Prathosh, A. P ; Ananthapadmanabha, T. V

IEEE Signal Processing Letters, May 2014, Vol.21(5), pp.554-558 [Periódico revisado por pares]

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  • Título:
    Threshold-Independent QRS Detection Using the Dynamic Plosion Index
  • Autor: Ramakrishnan, A. G ; Prathosh, A. P ; Ananthapadmanabha, T. V
  • Assuntos: Electrocardiography ; Signal Processing Algorithms ; Indexes ; Heuristic Algorithms ; Algorithm Design and Analysis ; Transient Analysis ; Speech ; Dpi Algorithm ; Dynamic Plosion Index ; ECG Signal ; Gci Detection ; Qrs Detection ; Threshold Free ; Engineering
  • É parte de: IEEE Signal Processing Letters, May 2014, Vol.21(5), pp.554-558
  • Descrição: Detection of QRS serves as a first step in many automated ECG analysis techniques. Motivated by the strong similarities between the signal structures of an ECG signal and the integrated linear prediction residual (ILPR) of voiced speech, an algorithm proposed earlier for epoch detection from ILPR is extended to the problem of QRS detection. The ECG signal is pre-processed by high-pass filtering to remove the baseline wandering and by half-wave rectification to reduce the ambiguities. The initial estimates of the QRS are iteratively obtained using a non-linear temporal feature, named the dynamic plosion index suitable for detection of transients in a signal. These estimates are further refined to obtain a higher temporal accuracy. Unlike most of the high performance algorithms, this technique does not make use of any threshold or differencing operation. The proposed algorithm is validated on the MIT-BIH database using the standard metrics and its performance is found to be comparable to the state-of-the-art algorithms, despite its threshold independence and simple decision logic.
  • Idioma: Inglês

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