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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Instrumentasi Buletin Pos dan Telekomunikasi
Asep Insani
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Agriculture, Biological Sciences & Forestry Chemistry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Social Sciences

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Journal : Bulletin of Electrical Engineering and Informatics

 1 
Improved bidirectional long short term memory-based QRS complex detection using autoencoder Insani, Asep; Wibowo, Suryo Adhi
Bulletin of Electrical Engineering and Informatics Vol 13, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i4.7033

Abstract

In this paper, we propose a new technique to improve QRS complex detection. This technique consists of incorporating an autoencoder and bidirectional long short term memory (BiLSTM). The autoencoder used is a stacked autoencoder and functions as signal filtering. Meanwhile, BiLSTM is used as a detector. Exploration of the effect of hyperparameter in the autoencoder was also carried out to determine the effect on QRS complex detection. Furthermore, the dataset used in this study is the MIT-BIH arrhythmia database. Based on the experimental results, the hyperparameter in the autoencoder that gives a better effect on QRS complex detection is 16-8. Finally, the proposed method out-of-perform state of the art algorithm with accuracy 99.94%.
Co-Authors A.A. Ketut Agung Cahyawan W Achmad Harimawan Nurdiyanto S., Boko Suryo Adhi Wibowo Sutrisno Salomo H Wiriadinata, Hidayat