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All Journal Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknokes Indonesian Journal of electronics, electromedical engineering, and medical informatics International Journal of Advanced Health Science and Technology
Setioningsih, Endang Dian
Department Of Electromedical Engieenering, Poltekkes Kemenkes Surabaya
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Health Professions Nursing Public Health

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High Flow Oxygen Analyzer Design on High Flow Nasal Cannula (HFNC) for Monitoring Oxygen therapy in Adults Rifan Amirul Fatkhur Rokhman; Tri Bowo Indrato; Endang Dian Setioningsih; Shubhrojit Misra
Jurnal Teknokes Vol 15 No 4 (2022): December
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v15i4.470

Abstract

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
Electronic Stethoscope Design with IoT (Internet of Things)-based Disease Symptom Detection Torib Hamzah; Endang Dian Setioningsih; Sumber Sumber; Nazila Ragimova
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 4 (2022): November
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i4.247

Abstract

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.
Analysis of Dialysate pH and Temperature Stability on Hemodialysis Machines Using Internet of Thing Technology Noviyanto Putera P; Lusiana Lusiana; Endang Dian Setioningsih; Sari Luthfiyah; Abhilash Pati
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 1 (2023): February
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i1.267

Abstract

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.
Analyzing the Relationship between Dialysate Flow Rate Stability and Hemodialysis Machine Efficiency Baharudin Adi Baharsyah; Endang Dian Setioningsih; Sari Luthfiyah; Wahyu Caesarendra
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 2 (2023): May
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i2.276

Abstract

Chronic kidney disease (CKD) is a condition characterized by impaired kidney function, leading to disruptions in metabolism, fluid balance, and electrolyte regulation. Hemodialysis serves as a supportive therapy for individuals with CKD, prolonging life but unable to fully restore kidney function. Factors influencing urea and creatinine levels in hemodialysis patients include blood flow velocity, dialysis duration, and dialyzer selection. This research aims to establish a standard for calculating the dialysate flow rate, thereby enhancing dialysis efficiency. The study employs a pre-experimental "one group post-test" design, lacking baseline measurements and randomization, although a control group was utilized. The design's weakness lies in the absence of an initial condition assessment, making conclusive results challenging. Measurement comparisons between the module and the instrument yielded a 5.30% difference, while the difference between the hemodialysis machine and standard equipment was 4.02%. Furthermore, six module measurements against three comparison tools showed a 0.17% difference for the hemodialysis machine with standard equipment, and a 0.18% difference for the module with standard equipment, with a 0.23% discrepancy between the two. Further analysis is necessary to understand the clinical significance and implications of these measurement variations on overall dialysis efficacy
Co-Authors ., Sumber Abd Kholiq Abd. Kholiq Abdul Majid Abhilash Pati Anilkumar Suthar Baharudin Adi Baharsyah Dyah Titisari Liliek Soetjiatie Lusiana Lusiana Luthfiyah, Sari M. Prastawa Assalim T. Putra M. Ridha Mak'ruf Muhammad Ridha Mak'ruf Nadhia Regitasari Nazila Ragimova Noviyanto Putera P Parameswaran Parameswaran Rifan Amirul Fatkhur Rokhman Riska Dwi Rahma Anggaraini Sarah Aghnia Miyagi Sari Luthfiyah Shubhrojit Misra Singgih Yudha Setiawan Syafiq Naufal Syayakti Syaifudin Tark Das Titoriski Romadhoni Torib Hamzah Torib Hamzah Tri Bowo Indrato Utomo, Bedjo Wahyu Caesarendra Yanti Kusumawardani