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Improving Photoplethysmograph Signal Quality using Butterworth Filters: Denoising and SNR Evaluation Analysis Nashichah, Roichatun; Lusiana; Dinda Trisakti Wahyuningtya
Medika Teknika : Jurnal Teknik Elektromedik Indonesia Vol. 7 No. 1 (2025): October
Publisher : Universitas Muhammadiyah Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/mt.v7i1.26693

Abstract

The photoplethysmography (PPG) signal is a physiological signal vulnerable to noise disorders, especially from environmental movements and interference artifacts. This noise can reduce the accuracy of signal analysis, disrupt the feature extraction, and cause errors in interpreting physiological conditions. This study aims to improve the quality of PPG signals through denoising using Butterworth filters and evaluate signal accuracy increases based on amplitude statistics and signal-to-noise ratio (SNR). The main contribution of this study is to disclose the effectiveness of the Butterworth filter configurations (low-pass and band-pass) with various orders in raising the PPG signal SNR and strengthening the stability of signal amplitude as a basis for more accurate physiological analysis. The Butterworth filters were applied with the order variations (2, 4, 6) and the configuration of low-pass or band-pass. Evaluation was carried out based on changes in the SNR value, statistical parameters, and amplitude (mean, median, standard deviation). The results revealed a significant increase in SNR from an average of 8.26 dB to 18.8 dB after filtering, with the highest increase of +12.1 dB using the band-pass order 4. Amplitude statistics unveiled a rise in stability, where the mean increased from 0.398 MV to 0.409 MV, the median rose from 0.400 MV to 0.415 MV, and the standard deviation escalated from 0.053 MV to 0.078 MV, resulting in a more consistent signal distribution post-filtering. The Butterworth filters improved the quality of PPG signals by reducing noise significantly and maintaining the integrity of the main signal. These results highlight the significance of this approach as an essential initial step in the PPG signal-based health analysis system, such as heart rate detection or vascular variability.
Penerapan Sistem Pemantauan Kelistrikan dan SOP Pemeliharaan Autoklaf di Puskesmas Tarik 2, Kabupaten Sidoarjo, Jawa Timur Levana Forra Wakidi; Lusiana; Farid Amrinsani; Oskar Natan; Roichatun Nashichah
Jurnal Pengabdian Masyarakat Indonesia Vol 5 No 5 (2025): JPMI - Oktober 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpmi.4107

Abstract

Autoclave merupakan peralatan utama dalam proses sterilisasi di fasilitas pelayanan kesehatan. Di Puskesmas Tarik II Kabupaten Sidoarjo, diperlukan pemantauan sistem kelistrikan secara berkala untuk memastikan keandalan dan keamanan fungsi autoclave dalam proses sterilisasi. Kegiatan ini bertujuan meningkatkan kompetensi petugas puskesmas dalam melakukan pemantauan kelistrikan melalui kegiatan pengujian dan kalibrasi autoclave guna menjaga efisiensi dan kinerja alat. Program dilaksanakan melalui skema Kemitraan Masyarakat antara Poltekkes Kemenkes Surabaya Jurusan Teknologi Elektro-Medis dan Puskesmas Tarik II. Metode kegiatan meliputi survei sistem kelistrikan, pengujian dan kalibrasi autoclave bersama PT Gama Medika Teknik menggunakan Metode Kerja GMT/MK/TEKNIK.009-18 yang mengacu pada Keputusan Dirjen Pelayanan Kesehatan No. HK.02.02/V/0412/2020 Edisi II, pelatihan teknis, serta penyusunan dan penerapan Standar Operasional Prosedur (SOP). Pengujian mencakup aspek kelistrikan (resistansi pembumian, arus bocor, dan resistansi isolasi), serta suhu dan waktu sterilisasi pada setpoint 115 °C. Hasil menunjukkan autoclave memenuhi standar keselamatan dan dinyatakan laik pakai (label hijau). Kegiatan ini berdampak pada pencegahan kerusakan alat, peningkatan pengetahuan teknis petugas, dan dukungan terhadap akreditasi Puskesmas, sehingga meningkatkan keandalan peralatan dan mutu layanan sterilisasi di fasilitas kesehatan.
Noise Reduction of Motion and EMG Artifacts in Holter ECG Using IIR Filters for Robust Arrhythmia Detection Sumber Sumber; Endang Dian S; Triwiyanto Triwiyanto; Roichatun Nashichah; Vijay Anant Athavale
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 2 (2026): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i2.9426

Abstract

Ambulatory Holter electrocardiography (ECG) enables continuous monitoring for detecting transient arrhythmias; however, its diagnostic reliability is significantly degraded by motion artifacts and electromyographic (EMG) interference. Under severe motion artifact conditions, prior studies report that ambulatory ECG SNR can fall below −10 dB , although SNR levels vary substantially depending on activity type and electrode placement, reducing usable data segments and impairing arrhythmia detection. While advanced denoising methods such as wavelet transforms and deep learning achieve high accuracy, their computational complexity limits real-time deployment in resource-constrained embedded systems. This reveals a critical gap in lightweight methods that jointly optimize noise suppression, morphological preservation, and downstream diagnostic performance. This study proposes a computationally efficient IIR Butterworth bandpass filtering framework for real-time IoT-based Holter ECG systems. The system combines three-lead ECG acquisition, embedded processing on an ESP32, and real-time visualization. Performance is assessed using SNR, mean squared error (MSE), Pearson correlation, and confusion matrix-based detection metrics on ten male participants under controlled motion and muscle artifact conditions. Results demonstrate statistically significant SNR improvements for motion artifacts (ΔSNR = 9.47 ± 1.96 dB, t(9) = 15.28, p < 0.001) and EMG artifacts (ΔSNR = 16.73 ± 0.91 dB, t(9) = 58.11, p < 0.0001). Post-filtering morphological fidelity was high, with mean Pearson correlation of 0.963 for motion artifacts and 0.945 for muscle artifacts. These signal quality improvements translated into 95.3% post-filtering arrhythmia detection accuracy (sensitivity: ≈96.0%, specificity: ≥97.0%, F1-score: ≥95.0%), significantly exceeding the 70% minimum performance threshold adopted in this study as a conservative screening criterion (t(9) = 29.7, p < 0.001). Despite dataset limitations (n = 10), the proposed framework provides an effective trade-off between computational efficiency and diagnostic reliability, supporting scalable and real-time ambulatory ECG monitoring for early arrhythmia screening.
Development of a Portable Digital Fetal Heart Rate Monitoring System Using Ultrasonic Echo Doppler Method Lusiana; Ridha Mak’ruf, Muhammad; Nashichah, Roichatun
Medika Teknika : Jurnal Teknik Elektromedik Indonesia Vol. 7 No. 2 (2026): April
Publisher : Universitas Muhammadiyah Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/mt.v7i2.28941

Abstract

This research aims to monitor the fetal heart rate (DJJ) using the ultrasonic echo method by detecting the fetal heartbeat at a certain tissue depth. The ultrasonic echo method used in this study is non-invasive and easy to use. The developed system consists of a 2.5 MHz piezoelectric probe that functions to transmit and receive ultrasonic signals, an Arduino that functions for signal processing and a program used to display the fetal heartbeat output. This ultrasonic echo method can detect the fetal heartbeat accurately and timely. This research produces outputs in the form of an Accredited National Journal and Intellectual Property Rights. The study contributes to the advancement of more sophisticated and user-friendly prenatal monitoring technology, in accordance with Technology Readiness Level (TRL) 2. By employing the Ultrasonic Echo method, this system offers convenience in FHR monitoring, potentially improving prenatal care and ensuring optimal fetal health.