Articles
<![CDATA[Hand Grip Measure Tool Post-Stroke Patients ]]>
<![CDATA[Ria Ramadhani]]>;
<![CDATA[Endang Dian Setioningsih]]>;
<![CDATA[Torib Hamzah]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 1 No 2 (2019): November ]]>
Publisher : <![CDATA[Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia ]]>
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DOI: 10.35882/ijeeemi.v1i2.3
<![CDATA[Handgrip Dynamometer is a tool used to view the strength of the hand muscles post-stroke patients. In this study Handgrip Dynamometer created to look at the hand grip strength in real time and find out the hand grip strength criteria, there are three indicators: the criteria of mild, moderate or strong. Handgrip dynamometer using the Arduino Uno control over the entire system and Load Cell as a sensor. Load Cell Output will be boosted by Analog Signal conditioner HX711 and then processed in the microcontroller, then will be displayed on the LCD. Berdasarlan weight measurement results obtained by the result of error by 0% By comparison to using weights, sehingga can be concluded that the tool can be used according to its function.]]>
<![CDATA[4 Channel Sterilizer Calibrator ]]>
<![CDATA[Syafiq Naufal Syayakti]]>;
<![CDATA[Endang Dian Setioningsih]]>;
<![CDATA[Sumber Sumber]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 1 No 2 (2019): November ]]>
Publisher : <![CDATA[Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia ]]>
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DOI: 10.35882/ijeeemi.v1i2.4
<![CDATA[Thermocouple (Thermocouple) is a type of temperature sensor used to detect or measure temperature through two types of metal conductors, whose working principle is that each end of a metal conductor is combined to create a "Thermoelectric" effect. One type of metal conductor contained in a thermocouple will serve as a reference with a constant temperature (fixed), while a metal conductor functions as a metal conductor that detects hot temperatures. Sterilisator is a device used to sterilize medical instruments to avoid the bacteria that attach to the remainder of the use of medical instruments. The temperature of the sterilizer varies but generally for dry sterilizers ranges from 175 ° Celsius. From the above problems, the author wants to develop a "4 Channel Sterilizer Calibrator", Using the Arduino Nano Atmega328 as a minimum system, K type thermocouple and MAX6675 module as a sensor. Measurements were made by comparing modules with standard measuring instruments, obtained the smallest error 0.2% at T3 and T4 when measuring 100 ° C, and the largest 4.4% at T2 when measuring 150 ° C.]]>
<![CDATA[Design Of Asthma Detection Devices Through Heart Rate and Oxygen Saturation ]]>
<![CDATA[Selvi Indriani]]>;
<![CDATA[Endang Dian Setyoningsih]]>;
<![CDATA[Dyah Titisari]]>;
<![CDATA[Arif Joko Wuryanto]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 3 (2020): November ]]>
Publisher : <![CDATA[Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia ]]>
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DOI: 10.35882/ijeeemi.v2i3.6
<![CDATA[Respiratory problems can cause asthma, acute asthma attacks are very difficult to predict because they often occur suddenly and asthma can also cause death in sufferers because the breath can suddenly stop. The purpose of this research is to design an asthma detection device through indicators of heart rate and oxygen saturation. The contribution of this study is to categorize the patient's condition by looking at the value of the heartbeat and oxygen saturation so that when asthma occurs the message of a location will be sent. To measure heart rate and oxygen saturation, a Nellcor finger sensor is placed on the patient's index finger. The finger sensor enters the signal conditioning circuit, then sent to the microcontroller to be processed to produce a heart rate value and the percentage of oxygen saturation. The testing of this tool is done by comparing the module with a standard measuring instrument that produces the highest value of oxygen saturation error which is 1.715% and the largest value of heart rate error is 3.548%. The results showed that the device was appropriate to use, because in the Medical Devices Testing and Calibration Guidelines of the Ministry of Health of the Republic of Indonesia in 2001, the maximum limit in oxygen saturation error tolerance was 2%, and heart rate was 5%. The results of this study can be implemented in patients who have been diagnosed with asthma so that it can facilitate the family in monitoring the patient's condition.]]>
<![CDATA[Improving the Effectiveness of Automatic Pure Tone Audiometer with Audiogram and Patient Diagnosis ]]>
<![CDATA[Aulia Rahmawati]]>;
<![CDATA[I Dewa Gede Hari Wisana]]>;
<![CDATA[Endang Dian Setioningsih]]>;
<![CDATA[Sari Luthfiyah]]>;
<![CDATA[Bedjo Utomo]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 3 (2020): November ]]>
Publisher : <![CDATA[Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia ]]>
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DOI: 10.35882/ijeeemi.v2i3.2
<![CDATA[Conventional Audiometer testing using manual mode takes quite a long time for one patient, and the audiologist must accompany until the test is complete. The purpose of this research is to design a pure tone audiometer with an automatic mode using Arduino microcontrollers. Contributions from this research is a system of automatic running to improve health services. The Hughson Westlake method is used for automatic mode. The method is prepared in the Arduino software and uses the CD4066 digital switch to regulate the frequency and intensity given to the patient. As for the frequency generator using XR2206, the raised frequencies are 250, 500, 1000, 2000, 4000, 8000 Hz. Then the patient will press the interrupt button if listening to sound, and the result will be displayed to the Audiogram on Android. Patient diagnostic results can be seen when testing the entire frequency has been completed. At frequency 250 Hz obtained error value 0.13, at frequency 500 Hz obtained error value 4.37, at frequency 1000 Hz obtained error value 39.5, at the frequency of 2000 Hz obtained error value 24.67, at the frequency of 4000 Hz obtained error value 67.33. And at the frequency of 8000 Hz obtained error value 32.33. The results of this study showed that the highest error was 3.95% at 1000Hz frequency and the smallest error was 0.05% at 250Hz frequency. The results of this study can be implemented in conventional audiometer system to accelerate testing time to improve service and facilitate audiologist during hearing testing.]]>
<![CDATA[EFEKTIFITAS PENGGUNAAN SINAR UV UNTUK PENYIMPANAN PERALATAN MEDIS PUSKESMAS ]]>
<![CDATA[Bedjo Utomo]]>;
<![CDATA[Endang Dian Setioningsih]]>
<![CDATA[ JURNAL PENELITIAN KESEHATAN Vol 12, No 2 (2014): Jurnal Penelitian Kesehatan ]]>
Publisher : <![CDATA[Poltekkes Kemenkes Surabaya ]]>
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<![CDATA[In general, this study analyzed the effectiveness of the use of UV light for the storage of medicalquipment in health centers by distance and time. This type of this research is experimental withre and post study design, particularly to analyze the effectiveness of UV light by distance and timef exposure. As the dependent variable in this study is the microorganisms and the independentariables are the factors of distance, time and design of medical devices storage size, while theontrol variable is the gelatin media. The results of UV light exposure at a distance 20 cm arebtained intensity of 15.8 Lumen and at a distance of 15 cm are obtained intensity of 11.2 Lumen.The average temperature that obtained during 3-hours exposure was at 35°C. Time effectivenessthat used to inhibit the growth of bacteria in the intensity of 15.8 lumen is 4 hours, while theintensity of 11.2 Lumen is 5-8 hours. Effectiveness analysis of the rate of growth of bacteria atintensity of 15.8 lumen using test probability 0.5% was obtained a significant value = 0.007 whereacterial samples of air quality (x2) is more effective than the kind of TBC bacteria (x). Theintensity at distance of 20 cm and 15 cm by using the Mann Whitney test it is obtained statisticalues = 0.513 0.05 where there is no statistical difference between these two intensity withthe rate of growth of bacterial colonies.In general, the results of this study can be concluded thatUV exposure can be used as a sterilizer on the storage of medical equipment in health centers thatimple by taking into account the factors of UV light time and intensity. Keywords:Effectiveness, UV light, sterilization, storage equipment, medical equipment 1]]>
<![CDATA[The Impact of Using Digital Filter and Analog Filter on Surface Electromyography Signal ]]>
<![CDATA[Endang Dian Setioningsih]]>
<![CDATA[ International Journal of Advanced Health Science and Technology Vol. 1 No. 2 (2021): December ]]>
Publisher : <![CDATA[Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES) ]]>
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DOI: 10.35882/ijahst.v1i2.6
<![CDATA[Many accident cases result in humans having to going a surgery to save them, then performing muscle therapy to help the patient’s recovery after going through the post-surgery. The purpose of this therapy is the patient’s body to its normal state. Exoskeleton is an additonal clothing-like tool that aims to both protect and increase the wearer's abilities. Meanwhile electromyography (EMG) is a technique to evaluate and record the electrical activity produced by skeletal muscles. The purpose of this study was to analyze the differences in using of analog and digital filters on EMG, as well as the effect on the exoskeleton simulation. The method used in the main design consists of the myoware module, notch circuit, low pass filter, arduino uno, DAC module, teraterm software, and matlab. The intercepted signal was taken from the biceps using a disposable electrode (AG/AGCL.). The EMG signal tapped by the myoware module then is continued to another circuit, then was recorded on the Teraterm software, and analyzed in MATLAB. The voltage value on the analog filter is 1.541 Volt during relaxation and 2.086 Volt during contraction, while the digital filter that has passed through the DAC has a value of 41.8 mVolt during relaxation and 269.1 mVolt during contraction. The results of this study obtained that digital and analog filter values have an average difference of 5 to 30. The conclusion of this research is that the tool can detect changes in the use of analog and digital filters. Therefore, in the future research, development can be made to compare other types of digital filters along with replacement to wireless systems. The benefit or purpose of this research is as a simulation of exoskeleton skeletal motion and to see the difference between the use of digital and analog filters.]]>
<![CDATA[Comparative Analysis of PID and Fuzzy Temperature Control System on Infant Warmer ]]>
<![CDATA[Abdul Majid]]>;
<![CDATA[Endang Dian Setioningsih]]>;
<![CDATA[Abd Kholiq]]>;
<![CDATA[Singgih Yudha Setiawan]]>;
<![CDATA[Anilkumar Suthar]]>
<![CDATA[ Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 4 (2022): October ]]>
Publisher : <![CDATA[Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI ]]>
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DOI: 10.35882/jeeemi.v4i4.257
<![CDATA[Infant Warmer is a life support equipment that is used to provide heat relief for normal and premature babies who are unable to maintain their own body temperature when in a new environment. The purpose of this research is to design an infant warmer using the DS18B20 sensor to analyze the efficiency and effectiveness between PID and fuzzy temperature control. This study used temperature settings of 34 °C, 35 °C, and 36 °C. The tool used for reference from standard measurements uses a standard infant warmer. When using the PID control used in the microcontroller detects the set temperature difference value with the actual temperature, the difference in value will be input to the PID control. The error value becomes PWM input on the PID control, the PID control will process the error value and determine the output value for the heater, the temperature sensor will read the actual temperature value which will be compared again with the temperature setting, the PID control will continue to process the error value and determine the PWM output value. until the actual temperature is equal to the setting temperature or the error value is zero]]>
<![CDATA[High Flow Oxygen Analyzer Design on High Flow Nasal Cannula (HFNC) for Monitoring Oxygen therapy in Adults ]]>
<![CDATA[Rifan Amirul Fatkhur Rokhman]]>;
<![CDATA[Tri Bowo Indrato]]>;
<![CDATA[Endang Dian Setioningsih]]>;
<![CDATA[Shubhrojit Misra]]>
<![CDATA[ Jurnal Teknokes Vol 15 No 4 (2022): December ]]>
Publisher : <![CDATA[Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia ]]>
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DOI: 10.35882/teknokes.v15i4.470
<![CDATA[High Flow Nasal Canulla (HFNC) is a technique that provides a high flow of heated and humidified gas. HFNC is simpler to use and implement than noninvasive ventilation (NIV) and appears to be a good alternative treatment for hypoxemic acute respiratory failure (ARF). This study aims to help facilitate medical personnel or equipment operators in monitoring the flow that enters the patient's body so that oxygen therapy can be given according to the right dose. This study uses an Arduino microcontroller to process the output flow from the Sensirion SFM-3000 flow sensor, then the processed flow value will be displayed on the TFT LCD. The independent variable in this study is the flow setting value, while the dependent variable is the SFM-3000 flow sensor. The largest error flow value is in the setting at 30 LPM with an error value of 2.70%. The flow value is set using a flowmeter, while the comparison tool used is a flow analyzer (Citrex H3). In the testing phase, the measurement value is 10 LPM to 60 LPM with a time of 5 minutes at each point. Based on the measurements that have been made, the largest error value is obtained at the value of 30 LPM, which is 2.70% and the smallest error value is at the value of 60 LPM, which is 0.74%. Data retrieval using a compressor and central oxygen is very influential on the results of the flow and oxygen concentration. The results obtained are more stable than without the use of a compressor and central oxygen.The conclusion from these results is that the calibrator module has a relative error (error value) that is still within the allowable tolerance limit, which is ±5%. And also the design of this tool is portable and low cost and is made to be used in hospital agencies as a support for maintenance on HFNC equipment]]>
<![CDATA[Electronic Stethoscope Design with IoT (Internet of Things)-based Disease Symptom Detection ]]>
<![CDATA[Torib Hamzah]]>;
<![CDATA[Endang Dian Setioningsih]]>;
<![CDATA[Sumber Sumber]]>;
<![CDATA[Nazila Ragimova]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 4 (2022): November ]]>
Publisher : <![CDATA[Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia ]]>
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DOI: 10.35882/ijeeemi.v4i4.247
<![CDATA[Auscultation is a technique or method most often used by medical personnel in the initial examination of patients. One way is to use a stethoscope. However, this method has its drawbacks because the diagnosis is carried out subjectively and cannot be relied on with the accuracy to diagnose the symptoms of heart defects. Thus, the purpose of this study is to create an IoT system for electronic stethoscopes with BPM value output and make analog filters to eliminate noise interference which was a major obstacle in previous studies. The contribution to this study is to make it easier for medical users to monitor vital conditions, namely BPM remotely and produce BPM values in real-time. The method used in this study was to use a mic condensor placed on the patient's chest to detect pressure changes that occurred. This change in pressure causes a change in the voltage output value on the condensor mic. Output dari mic condenser masuk dan diproses di rangkaian PSA. Output sinyal dari PSA masuk ke mikrokontroler yang telah diprogram. Hasil yang dipeoleh dari pengukuran mengasilkan nilai error pengukuran nilai BPM dari 5 responden dan diperoleh nilai error yang dihasilkan dari responden 1 diperoleh error sebesar 0.33 BPM, responden 2 diperoleh nilai error sebesar 0,67 BPM, responden 3 memiliki nilai error sebesar 0,5 BPM, responden 4 nilai error sebesar 0,67 dan responden 5 mempunyai nilai error sebesar 0,67 BPM. The results of the statistical test were also obtained P-Value>0.05 which explained that the resulting value did not have a significant difference and could be used for medical purposes. This research can help make it easier for doctors to analyze and diagnose symptoms of heart defects because this system is equipped with the detection of disease symptoms.]]>
<![CDATA[Analysis of Dialysate pH and Temperature Stability on Hemodialysis Machines Using Internet of Thing Technology ]]>
<![CDATA[Noviyanto Putera P]]>;
<![CDATA[Lusiana Lusiana]]>;
<![CDATA[Endang Dian Setioningsih]]>;
<![CDATA[Sari Luthfiyah]]>;
<![CDATA[Abhilash Pati]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 1 (2023): February ]]>
Publisher : <![CDATA[Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia ]]>
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DOI: 10.35882/ijeeemi.v5i1.267
<![CDATA[Therapy for kidney replacement with hemodialysis is a treatment that is carried out in patients with Chronic Kidney Failure to survive. The purpose of this study was to determine the stability of the dialysate fluid in the hemodialysis machine by measuring the temperature using the DS18B20 sensor and measuring the dialysate pH using the 4502C sensor on pre and post-hemodialysis. The research method and the manufacture of this module use a pre-experimental research design with the type of research "one group posttest design" the independent variables are the pH value and Dialysate Temperature, the dependent variable is the pH and Temperature Sensor, the control variable is the Traceable Tool. This research made a module using an Esp32 microcontroller system with an LCD that can be monitored with Android via the Internet of Things (IoT) system. 03 and the comparison of the results of the dialysate temperature values at the time of pre and post-obtained the maximum measurement error of 0.2%. From the measurement and analysis data, it can be concluded that there is no effect of pH and temperature values during pre and post hemodialysis.]]>
