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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JETT (Jurnal Elektro dan Telekomunikasi Terapan) TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Paris Langkis eProceedings of Applied Science eProceedings of Engineering Community Service Seminar and Community Engagement (COSECANT) Jurnal Rekayasa elektrika Telkatika: Jurnal Telekomunikasi Elektro Komputasi & Informatika Tarbiyah Darussalam : Jurnal Ilmiah Kependidikan dan Keagamaan
Unang Sunarya
Universitas Telkom
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Journal : Bulletin of Electrical Engineering and Informatics

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Electrocardiogram feature selection and performance improvement of sleep stages classification using grid search Lyra Vega Ugi; Fiky Yosef Suratman; Unang Sunarya
Bulletin of Electrical Engineering and Informatics Vol 11, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i4.3529

Abstract

Sleep analysis is often used to identify sleep-related human health. In many cases, sleep disorders could cause a particular disease. One of the approaches to detect sleep disorders is by investigating human sleep stages. However, the selection of the proper electrocardiogram (ECG) features is still considered challenging and becomes an issue to achieve the performance of the algorithm used. Therefore, it is necessary to investigate which ECG features are very significant to the performance of the algorithm. In this study, the support vector machine (SVM) method has been utilized to classify sleep stages into two classes namely awake and sleep. In order to improve the classification performances, an optimization method of grid search was used to find the best parameters of the SVM. Feature selection of information gain was then used to find the most significant ECG features. To validate the performance results, one leave-subject out cross-validation has been conducted during the implementation. There were ten subjects involved in this implementation. The ECG signals from those ten subjects were used to differentiate awake from sleep state. Based on the results, our method obtained an average accuracy of 85.46% a precision of 84.05% and a recall of 85.44% respectively.
Co-Authors Achmad Rizal Agung Nugroho Jati Agustina Paramitha Akhmad Hambali Al Ghani, Husein Aldino De Lama Angga Rusdinar Angger Widya Sulaiman Arief Rakhman Saputra ARIS HARTAMAN Arton Johan Lubis Asep Mulyana ATIK NOVIANTI Baharta, Edwin Bambang Hidayat Christian Adhi Pralingga Dadan Nur Ramadan Dalimunthe, Muhammad Iqbal Luthfi Daradjatun, Ilham Dendi Gusnadi Denny Darlis Dewa Gede Cahya Prastika Dinda Ardiwinnata Donny Rhomanzah Dwi Andi Numantris DWI ANDI NURMANTRIS Edy Rahmat Juma Efrat Murpratama Ekki Kurniawan Erdiansyah Rezamela, Erdiansyah Erwin Susanto Ezra Meliora Nainggolan Fadhil Riardy Rivai Faidhon Nur Fanni Husnul Hanifa Faridzi, Riva Nur FAUZI A, FARIS NUR Febrian Erliana Fendy Purwanto Fiky Y. Suratman Firda Isfandary Badryani Firda Masitha Firman Al Rahmat FITRI, IFTITA Fively Darmadi Fonizza Popy Wijaya Gelar Budiman Gentra A.P. Ruswanda Gusti Lambang Wicaksono Hasanah Putri HASNAH, FIDA YUZIDA Hendriadi Mukri Heroe Wijanto Hilmiyati, Fitri Ida Ayu Dian Purnama Sari Indra Prastowo Inung Wijayanto Irfandri Zulkarnaini Ivan Fadillah Achmad Jimmi Martin Julian Fathani Junartho Halomoan Katamso Katamso Kharisma Meccasia KURNIAWAN, MUHAMAD IRFAN Lyra Vega Ugi Manik , Angel Nauli Manurung, Binsar Anugrah Martahan Marcellus Haninditya Markus Sihombing Mas Sarwoko Suraatmadja Meidiana Ajeng Lestari Mohamad Ramdhani Muhammad Ary Murti Muhammad Fayyadh Muhammad Harits Fadhilah Ni Wayan Ratna Juami Niken Ayu Nining Syamsi Komariah Nugraha, Enung Nyoman Ramatryana Oktaviani, Kartika Piove Wiraguna Purhendi Bayu Basuki Putri, Silvi Dahlia Qomariyati, Laily Nur R Rumani M Rachmita Hasni.H1 Radial Anwar, Radial Rahmad Hidayat Raksa Raban Ramdhan Nugraha Ratna Wardani Ratri Atmadja Ratri Dwi Atmaja Razi Jamil Fariz Rendy Munadi Rijal Permana Riza Taufiq Rizki Antoni ROHMAT TULLOH Roswandi, Naufal Fakhri Rumani M Rumani M Rumani M Rumani Rumani Ruswanda, Gentra A.P. Santy Fauziyah Siti Khodijah Siti Walidah Jauhariah Sofian Arissa Putra Sugondo Hadiyoso Suharmin Bahri Suryo Adhi Wibowo Syakira Nurina Shaputri Tiar Naufal Wilsya Tidar Haryo Sularso Tita Haryanti UDZRI, MUHAMMAD HAFIDZ UGI, LYRA VEGA Widianto, Kiki Widya Sastika Wulandary Ika Hanesia YAKIN, NIZAR AINUL Yuris Octa Primariadi Yustisia, Regina Zafer Ozcan Zahrana Hermulyani