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Analisis Perbandingan Kinerja Simulator NIBP Impor dan Lokal terhadap Blood Pressure Monitor dengan Metode Uncertainty Isabela, Safariati; Nuryanto Budisusila, Eka
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada Vol 6 No 2 (2025): MEDIKA TRADA: Jurnal Teknik Elektromedik Polbitrada Vol 6 No 2 (2025)
Publisher : LPPM POLBITRADA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59485/jtemp.v6i2.154

Abstract

Calibration of non-invasive blood pressure (NIBP) devices is essential to ensure measurement accuracy in healthcare services. This study aims to compare the performance of two calibrators, XB1000 and Multisim, in testing two NIBP units using the uncertainty analysis method. Measurements were conducted on systolic, diastolic, and heart rate parameters with a total of 16 data points per parameter. The results show that XB1000 achieved a lower total average expanded uncertainty (U95) of 0.421 mmHg compared to Multisim at 0.529 mmHg. Specifically, XB1000 demonstrated the lowest uncertainty across all parameters, with an overall 20.3% improvement over Multisim. Error analysis indicated that systolic measurements had an average error of 2.063 mmHg, diastolic -1.167 mmHg, and heart rate -0.062 bpm. Based on these findings, XB1000 is recommended as the preferred calibrator for NIBP devices, as it provides lower measurement uncertainty and improved accuracy across all tested parameters.
Pengembangan Sistem Deteksi Anemia Non-Invasif Menggunakan Photoplethysmography (PPG) dan Logika Fuzzy untuk Estimasi Kadar Hemoglobin Yugiantoro, Darojat; Nuryanto Budisusila, Eka; Dwi Prasetyowati, Sri Arttini; Arifin, Bustanul
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada Vol 6 No 2 (2025): MEDIKA TRADA: Jurnal Teknik Elektromedik Polbitrada Vol 6 No 2 (2025)
Publisher : LPPM POLBITRADA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59485/jtemp.v6i2.163

Abstract

The Anemia is a global health issue affecting many individuals worldwide. Traditional anemia detection through invasive blood testing is often costly, time-consuming, and requires trained medical personnel. This study developed a non-invasive anemia detection system based on Photoplethysmography (PPG) technology and fuzzy logic to estimate hemoglobin (Hb) levels and classify the degree of anemia. The system uses a PPG sensor to measure red and infrared light intensities, which are used to calculate the ratio and estimate the hemoglobin levels. The fuzzy logic system then classifies the estimated Hb results into the categories of Severe Anemia, Moderate Anemia, and Mild Anemia. The results of the study indicate that this system provides an estimated hemoglobin level with an accuracy of 92.1%, and can classify anemia degrees with results comparable to conventional blood testing. This system offers a more practical, efficient, and non-invasive alternative for anemia detection and has the potential to be used for self-health monitoring.