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Communication Dans Un Congrès Année : 2016

Improvement of a FPGA-Based Detection of QRS Complexes in ECG Signal Using An Adaptive Windowing Strategy

Amina Habiboulah
  • Fonction : Auteur
  • PersonId : 968591
Mehdi Terosiet
  • Fonction : Orateur
  • PersonId : 968592
Olivier Romain

Résumé

This paper presents an FPGA-based algorithm for automatic detection of QRS complexes in ECG signals, first step for the estimation of cardiac intervals. The proposed algorithm is divided into 3 parts : Filtering, Contrast Enhancement, and finally a Detection block based on an adaptive windowing and a thresholding of the enhanced data. The entire detection scheme was developed in accordance with embedding constraints and in the perspective of a real-time use. We evaluated the algorithm on manually annotated databases, such MIT-BIH Arrythmia and QT databases. The FPGA-based algorithm correctly detects 91,85 % percent of the QRS complexes, with a very limited ratio of false detection (only 5%) on standard databases, while for realtime records obtained from young subjects between 20 and 25 years, the sensitivity reaches 93,77 % with a false detection ratio of only 4 %. These results are in accordance with the most recent state-of-the-art off-line algorithms on the same database, and improves significantly FPGA-based ones that were tested on a limited number of ECG extracted from the MIT-BIH set of data only.
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Dates et versions

hal-01254946 , version 1 (12-01-2016)

Identifiants

  • HAL Id : hal-01254946 , version 1

Citer

Amina Habiboulah, Mehdi Terosiet, Aymeric Histace, Olivier Romain. Improvement of a FPGA-Based Detection of QRS Complexes in ECG Signal Using An Adaptive Windowing Strategy. Proceedings of 9th Biosignals Conference, Feb 2016, Rome, Italy. ⟨hal-01254946⟩
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