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Bambang Tutuko
Researcher at Sriwijaya University
Publications - 58
Citations - 438
Bambang Tutuko is an academic researcher from Sriwijaya University. The author has contributed to research in topics: Computer science & Robot. The author has an hindex of 8, co-authored 40 publications receiving 206 citations.
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Journal ArticleDOI
Deep Learning-Based Stacked Denoising and Autoencoder for ECG Heartbeat Classification
Siti Nurmaini,Annisa Darmawahyuni,Akhmad Noviar Sakti Mukti,Muhammad Naufal Rachmatullah,Firdaus Firdaus,Bambang Tutuko +5 more
TL;DR: This research is the first to implement stacked autoencoders by using DAEs and AEs for feature learning in DL and demonstrates, the proposed DL model can extract high-level features not only from the training data but also from unseen data.
Journal ArticleDOI
Robust detection of atrial fibrillation from short-term electrocardiogram using convolutional neural networks
Siti Nurmaini,Alexander Edo Tondas,Annisa Darmawahyuni,Muhammad Naufal Rachmatullah,Radiyati Umi Partan,Firdaus Firdaus,Bambang Tutuko,Ferlita Pratiwi,Andre Herviant Juliano,Rahmi Khoirani +9 more
TL;DR: A simple algorithm of a discrete wavelet transform coupled with one-dimensional convolutional neural networks (1D-CNNs) to classify three classes: Normal Sinus Rhythm, AF and non-AF (NAF) is proposed that can aid AF diagnosis in clinics and patient self-monitoring to improve early detection and effective treatment of AF.
Journal ArticleDOI
AFibNet: an implementation of atrial fibrillation detection with convolutional neural network
Bambang Tutuko,Siti Nurmaini,Alexander Edo Tondas,Muhammad Naufal Rachmatullah,Annisa Darmawahyuni,Ria Esafri,Firdaus Firdaus,Ade Iriani Sapitri +7 more
TL;DR: These findings demonstrate that the proposed model approach can be used in a broad range of devices and validated to unknown data to derive feature maps and reliably detect the AF periods.
Journal ArticleDOI
Intelligent Robotics Navigation System: Problems, Methods, and Algorithm
Siti Nurmaini,Bambang Tutuko +1 more
TL;DR: The discussion of this paper will focus on how simple agent’s structure utilizes flexible and potential outcomes in order to navigate in a productive and unorganized surrounding.
Design concept of train obstacle detection system in indonesia
TL;DR: This study is an early stage of a series of researches which expected to be autonomous system designed, where the locomotive driver make their own decisions base on the input information, eventually it would reduce collisions caused by human error from the locomotives driver.