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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Kursor KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) INOVTEK Polbeng - Seri Informatika Infoman's: Jurnal Ilmu-Ilmu Manajeman dan Informatika Jurnal Mantik Jurnal Informatika dan Rekayasa Elektronik Indonesian Journal of Electrical Engineering and Computer Science Jurnal Rekayasa elektrika
Achmad Basuki
Politeknik Elektronika Negeri Surabaya
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media

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Implementation of optical flow: good feature definition for tracking of heart cavity Anwar Anwar; Riyanto Sigit; Achmad Basuki; I Putu Adi Surya Gunawan
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 2: May 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i2.pp1057-1065

Abstract

Echocardiography is a method of examination using high-frequency sound waves to capture images of the heart organ structure. Echocardiography video is used by a doctor to analyze heart wall cavity movements and identify heart disease. Several points of view including the long axis, the two and four cavities in the left ventricle can be used in the examination of heart function. Cardiac assessment is still performed conventionally, which requires a level of thoroughness. This research proposes a method for tracking the movement of the heart wall. In this method, the good feature was defined only in the first frame. Furthermore, the whole frame will be processed by the optical flow method. Good feature definition consists of image enhancement, segmentation and tracking processes using the optical flow. Furthermore, the calculation of contour similarity from the proposed method by forming contour manually using 24 point initialization to draw the heart cavity. The proposed method shows the calculation results with a sensitivity of 90% and an accuracy of 87.451%.
Cardiac Motions Classification on Sequential PSAX Echocardiogram Adam Shidqul Aziz; Riyanto Sigit; Achmad Basuki; Taufik Hidayat
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i3.pp1289-1296

Abstract

Cardiac wall motions classification on 2-dimensional (2D) echocardiographic images is an important issue for quantitative diagnosiing of heart disease. Unfortunately, the bad quality of echocardiogram cause computationally classification on cardiac wall motions is still become a big homework for many researchers to provide the best result. Echocardiogram is produced by soundwaves which absolutely make its images have speckle noise in different intensity. Therefore, this research improves a set of methodology to classify cardiac wall motion semi-automatically. Raw echocardiogram will be enhanced and segmented to take the boundary of endocardium of left ventricular in PSAX cardiac images. New improvement of Semi-automatically methodology is approach on detecting the contour of endocardium and will be inputed as good features in Lucas-Kanade Optical Flow in all sequential echocargraphic images. On classifying cardiac wall motions, this research proposes two important features including length of displacement and flow direction. New proprosed flow determination algorithm and Euclidean distance is used to calculate those features. All the features will be trained by Neural Network (NN) and validated by Leave One Out (LOO) to get accurate result. NN method, which is validated by LOO, has the best result of 81.82% correctness than the other compared methods.
Rancang Bangun AirMouse Menggunakan Sarung Tangan Bersensor Berbasis ESP32 Sholahuddin Muhammad Irsyad; Achmad Basuki; Bima Sena Bayu Dewantara
Jurnal Rekayasa Elektrika Vol 18, No 3 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1413.144 KB) | DOI: 10.17529/jre.v18i3.25816

Abstract

Digital interactions are still commonly using indirect media such as mouse and keyboard to provide user input in the form of two-dimensional data. Therefore, to provide intuition in virtual interactions, it is possible to add media that can draw directly in the air or a flat surface that will track hand movements and overall finger position. In this research, we try to track hand movements in real time by capturing the position of the hand and finger curvature using a wearable sensor equipped with an Inertial Measurement Unit (IMU) sensor and a flex sensor installed by the user. Then the system will identify the position of the user's finger bending. and the location indicated by the sensors installed to move the cursor on the screen and simulate left-click and right-click hand movements as with a traditional mouse. By using this system, users can interact with the computer more naturally and get the accuracy of cursor movement with the accuracy of finger movement translation reaching more than 85% and the translation of hand movements to mouse cursor movements is on average 73% for shapes that use straight lines. and 23.4% on curved lines such as circles and other shapes.
Rancang Bangun AirMouse Menggunakan Sarung Tangan Bersensor Berbasis ESP32 Sholahuddin Muhammad Irsyad; Achmad Basuki; Bima Sena Bayu Dewantara
Jurnal Rekayasa Elektrika Vol 18, No 3 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v18i3.25816

Abstract

Digital interactions are still commonly using indirect media such as mouse and keyboard to provide user input in the form of two-dimensional data. Therefore, to provide intuition in virtual interactions, it is possible to add media that can draw directly in the air or a flat surface that will track hand movements and overall finger position. In this research, we try to track hand movements in real time by capturing the position of the hand and finger curvature using a wearable sensor equipped with an Inertial Measurement Unit (IMU) sensor and a flex sensor installed by the user. Then the system will identify the position of the user's finger bending. and the location indicated by the sensors installed to move the cursor on the screen and simulate left-click and right-click hand movements as with a traditional mouse. By using this system, users can interact with the computer more naturally and get the accuracy of cursor movement with the accuracy of finger movement translation reaching more than 85% and the translation of hand movements to mouse cursor movements is on average 73% for shapes that use straight lines. and 23.4% on curved lines such as circles and other shapes.
Co-Authors Aditiya Anwar Agus Prasetyo Ali Ridho Barakbah Alimudin, Akhmad Andi Roy Anwar Anwar Aziz, Adam Shidqul Bima Sena Bayu Dewantara David Fahmi Abdillah Dia Bitari Mei Yuana Eko Supriyadi Fikri Aulia I Putu Adi Surya Gunawan Iqbal Sabilirrasyad Kholid Fathoni M Udin Harun Al Rasyid, M Udin Harun Muhammad Aksa Hidayat Muhammad Wahyu Nugroho Sakti Octario Rezkavianto Riyadh Arridha Riyanto Sigit Rizka Rahayu Sasmita Rohmah, Etik Ainun Sholahuddin Muhammad Irsyad Sritrusta Sukaridhoto Taufik Hidayat Titing Magfirah Tri Harsono Wahjoe Tjatur Sesulihatien