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All Journal Semantik ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO Jurnal Teknik Elektro dan Komputasi (ELKOM) Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Instrumentasi Community Empowerment Journal of Computing Theories and Applications Jurnal JEETech Journal of Renewable Energy, Electronics and Control
M Ary Heryanto
Universitas Dian Nuswantoro
Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Penerapan Filter Digital untuk Menghilangkan Gangguan pada Sinyal Elektrokardiogram Santoso Santoso; Ratna Hartayu; Ahmad Ridho’i; Balok Hariadi; Kukuh Setydjit; Lutfi Agung Swarga; M Ary Heryanto
Journal Renewable Energy, Electronics and Control Vol 4, No 2 (2024): JURNAL JREEC
Publisher : Department of Electrical Engineering, Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jreec.2024.v4i2.6711

Abstract

This research examines the application of Finite Impulse Response (FIR) filters in processing ECG signals to eliminate noise and enhance signal quality. Using ECG recordings from the MIT-BIH database, the original signal contaminated by noise was processed with FIR filters, and the results were compared with signals filtered using the Infinite Impulse Response (IIR) method. The analysis results indicate that FIR filters are effective in reducing noise and improving the accuracy of morphological analysis, with a post-filtering Signal-to-Noise Ratio (SNR) of 1.24 dB. Although the SNR improvement is still relatively low, this study highlights the importance of applying appropriate filtering techniques to support more accurate medical diagnoses. Future research is recommended to explore the performance comparison of FIR filters with other signal processing techniques, as well as efforts to further enhance signal quality and SNR.Keyword: ECG Signal, FIR Filter, Signal Processing, Signal-to-Noise Ratio (SNR), Morphological Analysis
Co-Authors . Melinda Adib Nur Ranaminanta Ahmad Ridho’i Arga Dwi Pambudi Aries Jehan Tamamy Arifin, Zaenal Balok Hariadi Balok Hariadi Balok Hariadi Cut Siti Azola Syiva Dedi Nurcipto, Dedi Ferri Kurniawan Gunawan, Wahyu Sahrul Hafaz, Mohamad hartayu, ratna Helmy Rahadian Hery Pamungkas Hery Pamungkas, Hery Hilmi, Fahriska Imam Fathur Rahman JUANANTA, DENY Karampung, Felix Etena Orba Kukuh Setydjit Lutfi Agung Swarga Mohammad Sidiq Nur Islahudin Pambudi, Arga Dwi Rahadian, Helmy Reza Sarwo Widagdo Roziqin, Kusnur SADANARESWARI, AGATA Santoso Santoso SANTOSO SANTOSO Saputra, Wahyu Sari Ayu Wulandari Souvik Das Syahrial, Syahrial Tamamy, Aries Jehan Wahyu Setyo Pambudi Wulandari, Sari Ayu Zaenal Arifin Zaenal Arifin