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Rosyid, Alfian Nur
Department Of Pulmonology And Respiratory Medicine, Faculty Of Medicine, Universitas Airlangga, Surabaya, Indonesia.
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Decision Sciences, Operations Research & Management Education Engineering Environmental Science Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Neuroscience Nursing Public Health Other

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Identification of chronic obstructive pulmonary disease using graph convolutional network in electronic nose Dava Aulia; Riyanarto Sarno; Shintami Chusnul Hidayati; Alfian Nur Rosyid; Muhammad Rivai
Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 1: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v34.i1.pp264-275

Abstract

Chronic obstructive pulmonary disease (COPD) is a progressive lung dysfunction that can be triggered by exposure to chemicals. This disease can be identified with spirometry, but the patient feels uncomfortable, affecting the diagnosis results. Other disease markers are being investigated, including exhaled breath. This method can be applied easily, is non-invasive, has minimal side effects, and provides accurate results. This study applies the electronic nose method to distinguish healthy people and COPD suspects using exhaled breath samples. Twenty semiconductor gas sensors combined with machine learning algorithms were employed as an electronic nose system. Experimental results show that the frequency feature of the sensor responses used by the principal component analysis (PCA) method combined with graph convolutional network (GCN) can provide the highest accuracy value of 97.5% in distinguishing between healthy and COPD subjects. This method can improve the detection performance of electronic nose systems, which can help diagnose COPD.
Co-Authors Anggraini Dwi Sensusiati Arina Dery Puspitasari Astanti, Erika Bambang Subakti Zulkarnain Bangun Mukti Ardi Brigitta Dhyah Kunthi Wardhani D. Puspitasari, Arina Dava Aulia Effendi, Wiwin Is Eunice Marlene Sicilia Kundiman Fatimatuz Zahra Oviary Satryo Fauzul Meiliani Handira Nadhifatul Aini Hasanudin Hasanudin Herley Windo Setiawan Ika Nindya Kadariswantiningsih Isnin Anang Marhana Izzatul Fitriyah Lily Aina M. Yamin Makhfudli Makhfudli Maulana Antiyan Empitu Melinda Putri Amelia Rachman MOCHAMMAD THAHA Muhammad Amin Muhammad Rivai Mutiara Rizki Haryati Nafikhah, Wardah Zuhan Nanda Ardianto Natalia Christin Tiara Revita Nursalam, Nursalam Pharmasinta Putri Hapsari Prastuti Asta Wulaningrum Resti Yudhawati Riyanarto Sarno Satriyo Dwi Suryantoro Sharifa Audi Salsabila Shintami Chusnul Hidayati Tamara Nur Budiarti Tintin Sukartini Toetik Aryani Yuliza Yuliza Yusuke Suzuki