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Journal : ComEngApp : Computer Engineering and Applications Journal

Inter Patient Atrial Fibrillation Classification Using One Dimensional Convolution Neural Network Rifai, Ahmad; Rachmatullah, Muhammad Naufal; Sutarno; Tutuko, Bambang
Computer Engineering and Applications Journal (ComEngApp) Vol. 11 No. 1 (2022)
Publisher : Universitas Sriwijaya

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Abstract

Atrial fibrillation is the most common type of arrhythmia. The process of detecting AF disease is quite difficult. This is because it is necessary to detect the presence or absence of a P signal wave in the ECG signal. However, this method requires special expertise from a cardiologist. Several literatures have proposed an automatic ECG classification system. However, the intra-patient paradigm does not simulate real-world scenarios. One of the challenges in the inter-patient paradigm is the morphological differences between one subject and another. In order to overcome the problems that arise in the automatic classification of ECG signal patterns a deep learning approach was proposed. This study proposes the classification process of atrial fibrillation in the inter-patient paradigm using a one-dimensional convolutional neural network architecture. The test is divided into two cases: two labels (Normal and AF) and three labels (Normal, AF and Non-AF). In the case of two test labels with an inter-patient scheme, the performance was 100% for all test metrics (accuracy, sensitivity, precision, and F1-Score). However, in the three-label case, the model's performance decreased to 85.95, 70.02, 72.50, 71.19 for accuracy, sensitivity, precision and F1-Score, respectively.
Design Concept of Convexity Defect Method on Hand Gestures as Password Door Lock Passarella, Rossi; Fadli, Muhammad; Sutarno
Computer Engineering and Applications Journal (ComEngApp) Vol. 2 No. 3 (2013)
Publisher : Universitas Sriwijaya

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Abstract

In this paper we purpose a several steps to implement security for locking door by using hand gestures as password. The methods considered as preprocessing image, skin detection and Convexity Defection. The main components of the system are Camera, Personal Computer (PC), Microcontroller and Motor (Lock). Bluetooth communication are applied to communicate between PC and microcontroller to open and lock door used commands character such as “O” and “C”. The results of this system show that the hand gestures can be measured, identified and quantified consistently.
Co-Authors Abdurahman Adriano Afif Zona Tori Agung Prasetyo Agus Yuda Hernoko Ahmad Fathoni Ahmad Rifai Ahmad Zarkasi Aldia, Dita Alvis Andika, Rully Asih Handayani Asmuni Athalaza, Muhammad Nawar Bambang Ariyanto Bambang Tutuko BHAKTI KARYADI Bhanes Ado Fata Muri Damas Ivan Ola Defianti, Aprina Dewi Anggraini Dian Ratih Laksmitawati Dian Saraswati Diena Rakhmani Dila Syamsiah, Nurani Dwi Retno Lukiwati Ekaputri, Rendi Zulni Eny Fuskhah ERNI WIDAJANTI Firdausi Firdausi, Firdausi Francisca Audry Kournikova Ghina Febrianti Hadi Purnawan Satria Hartanto, Lius HARTOYO, EKO Henny Johan Hesti Nurhasanah Hesty Utami Ramadaniati Ida Lestari IMAM SUGKAWA Indra Sakti Indri Wahyuni Juwono, Fahmi M. Khoirul Huda Mahananto Mastur Meti Indrowati Michael Moch Malik Firdaus Muhamad Agus N Muhammad Fadli Muhammad Naufal Rachmatullah muhammad soleh muhammad soleh Muhammmad Fadli Gunawan Muryan Awaludin Ninis Nugraheni Nirwana Nirwana, Nirwana Noval Rizky Akbar Nugrah Rekto Prabowo Nur Hidayati, Iis Nurfadilah Satiyani Nursaadah, Euis Parlindungan, Deni Pramono Primanita, Anggina Puji Lestari, Evi Purnamo B Purwo Subekti PUTRI PATRICIA, ADINDA Putuwijayanti, Retno Qurrota Ayunin Diananda Raden Mas Syauqi Annuri Sam Kusuma Patria Rascal Indrastoto Rendy Josua Titirloloby Rendy Wikrama Wardana Resi, Damasus Nosi Restu Susanto, Arga Rizal Alaika R ROCHANI NANI RAHAYU Romario Wahyudi Ronggo Waskito, Jefri Rossi Passarella Sabana Putri, Safira Safitri, Leni Saila Al Fiqhiyyah, Taswa SENSUSIYATI Shahwatul Islami Lestaluhu Suhadi Sumaryanto Sunarso SUPRAYITNO SURYANTI Syafril Alfian Akbar Talitha Zhafira Tatang Tajudin Teguh Supriyadi Uliyandari, Mellyta Umi Latifah, Vina Wahyuningsih, Putriana Warso Widjajanto,, Didik Wisnu Wikrama Wardana, Rendy Windy Fathikah Yolanda