Dyah Titisari
Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya

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Journal : Journal of Electronics, Electromedical Engineering, and Medical Informatics

A Two Channels Wireless Electrocardiograph System Using Bluetooth Communication RAHMA DIAH ZUHROINI; Dyah Titisari; Torib Hamzah; T. K Kho
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 3 No 3 (2021): October
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v3i3.3

Abstract

Health problems with cardiovascular system disorders are still ranked high, according to data from the WHO reported that there are about 31% of causes of death globally are cardiovascular diseases. The purpose of this study was to develop a 12 lead electrocardiograph with 2 displays and the HC-05 as a real-time transmitter of heart signal data. The electrocardiogram signal is obtained from the wiretapping by attaching the electrode cable to the Lead I, Lead II, Lead III, aVR, aVL, and aVF leads, then processed on IC AD620, HPF and LPF filters and non-inverting amplifiers and then processed using Arduino UNO for further display. in the form of a signal on the Delphi 7 application. The research method is to measure the heart signal on the ECG Simulator, by testing several BPMs, namely 30, 60, 120 and 240 on each lead. After testing the signal equation at the 0.5mV setting by calculating the error rate, the highest error value is obtained in lead I, lead aVL and aVF of 7.14% and the smallest error is 3.57% error in lead III. Then at the 1mV setting by calculating the error rate, the highest error value in lead aVL is 7.14% and the smallest error is 2.36%. at the 2mV setting by calculating the error rate, the highest error value is obtained in leads aVL and aVF of 5.71% and the smallest error is obtained by an error of 2.1% in lead II. the results of this study are implemented so that in the future an ECG examination can be carried out and then monitored remotely like a doctor's room because the data communication uses bluetooth.
Evaluating of a Super Bright LED as a Spectrophotometer Light Source at The Clinical Laboratory Rangga Santoso; Dyah Titisari; Prastawa ATP; Her Gumiwang Ariswati; Nora Bouzeghaia
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 1 (2022): January
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v4i1.3

Abstract

Spectrophotometers generally use a halogen lamp as a light source that passes through a filter (wavelength) according to the material to be analyzed. This study aims to analyze the ability of the LED as a light source on a spectrophotometer. In this study, the authors have determined blood sugar parameters as the test material. So that the determination of the wavelength of the LED as a light source must be adjusted to the specifications of the wavelength in the reagent manual procedure used. In the BAV Greiner Glucose Reagent procedure, the allowable wavelength is between 500 - 570 nm with a cuvette thickness of 1 cm. Measured against the reagent blank by the endpoint method. From this reference, the author uses an LED light source with a wavelength of 530 nm, Epistar brand green. The module in this study consisted of a 530 nm LED lamp as a light source, then a lens was added to focus the light beam from the 530 nm LED. The author also adds a Slit / Aperture or it can be called a small hole so that the light passing through is focused at one point of the circle and is passed to the cuvette. The results of the absorption of light will be received by the light sensor (photoresistor) and the data is processed by Arduino and the results are displayed on the display. From the results of this study, the value ranges error from 1% to 3% when a comparative test is carried out with the Analyticon type Biolyzer100 spectrophotometer with 6 different samples and is repeated 5 times each. From these data, it is found that the LED with a wavelength of 530 nm is effective as a light source for checking blood sugar.