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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) 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
Luthfiyah, Sari
Poltekkes Kemenkes Surabaya
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Health Professions Nursing Public Health

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Vital Sign Monitor Device Equipped with a Telegram Notifications Based on Internet of Thing Platform Sari Luthfiyah; Agatha Putri Juniar Putri Juniar Santoso; Tri Bowo Indrato; Michelle Omoogun
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 3 No 3 (2021): August
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.v3i3.4

Abstract

Vital Sign Monitor is a tool used to diagnose a patient who needs intensive care to know the condition of the patient. Parameters used in monitoring the patient's condition include body temperature and respiration. The contribution of this research designed a vital sign monitoring tool with IoT-based notifications so that remote monitoring can be done by utilizing web Thinger.io, LCD, RGB LEDs as a display of the results of the study and notify telegrams if it becomes abnormal to the patient's condition. Therefore, in order to produce accurate data in the process of data retrieval, a relaxed position of the patient is required and the stability of the wi-fi network so that monitoring is not hampered. The study used the DS18B20 digital temperature sensor placed on the axilla and the piezoelectric sensor placed on the abdomen of the patient. The results of the study were obtained by taking data on patients. The resulting temperature value will be compared to the thermometer, which produces the highest error value of 0.56%, which is still possible because the tolerance limit is 1oC. and for the collection of respiration values that have been compared to the patient monitor obtained the highest error value of 6.2%, which is still feasible because the tolerance limit is 10%. In this study, there is often a crash library between the temperature sensor and other sensors, so for further research, recommend to replacing the temperature sensor
Lost Data and Transmition Speed Analysis on Incubator Analyzer Based IoT Technology I Kade Nova Paramartha; Torib Hamzah; Bedjo Utomo; Sari Luthfiyah; Emre ÖZDEMĐRCĐ
International Journal of Advanced Health Science and Technology Vol. 2 No. 1 (2022): February
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (848.982 KB) | DOI: 10.35882/ijahst.v2i1.7

Abstract

The importance of the readiness of the baby incubator for critical infant patients who are treated intensively encourages health technicians to carry out regular maintenance and calibration to overcome the problem of equipment malfunctions. Critical infant patients are babies who are treated in the NICU (Neonatal Intensive Care Unit) due to premature birth or babies using incubators are diagnosed with abnormalities or diseases, this situation makes babies need tools for survival, especially in the first month. Calibrating temperature control is very necessary for the incubator. In addition to temperature, it is necessary to control humidity so that the baby's respiratory system is in optimal condition. In addition, it is also equipped with a noise sensor to ensure that the noise in the baby incubator room is appropriate. From the above problems, a tool for temperature testing was made using a DHT22 sensor with five measurement points, humidity with a level of 30% RH - 60% RH and noise with a range of 30dB-60db to ensure the tool functions properly equipped with a lost data testing system and delivery speed. using internet access with thingspeak display. This research resulted in the design of a calibration tool with three parameters, namely the temperature setting at 33ºC the smallest error percentage is 0% and the largest error is 0.96%, and at the temperature setting 35ºC the smallest error percentage is 0.28% and the largest error is 4 .1%, humidity with an error percentage of 0.82% and noise with an error percentage of 0.93%. The drawback in using the Thingspeak application is that there is a limit on the channel ID, which can only display 8 readings, while the minimum time lag is 20 seconds. For the MAX4466 noise sensor, there are shortcomings, namely the accuracy in readings is not good.
Effect of Muscle Fatigue on Heart Signal on Physical Activity with Electromyogram and Electrocardiogram (EMG Parameter ) Monitoring Signals Muhammad Fauzi; Endro Yulianto; Bambang Guruh Irianto; Sari Luthfiyah; Triwiyanto Triwiyanto; Vishwajeet Shankhwar; Bahaa Eddine ELBAGHAZAOUI
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 3 (2022): August
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.v4i3.240

Abstract

Physical activity is an activity of body movement by utilizing skeletal muscles that is carried out daily. One form of physical activity is an exercise that aims to improve health and fitness. Parameters related to health and fitness are heart and muscle activity. Strong and prolonged muscle contractions result in muscle fatigue. To measure muscle fatigue, the authors used electromyographic (EMG) signals through monitoring changes in muscle electrical activity. This study aims to make a tool to detect the effect of muscle fatigue on cardiac signals on physical activity. This research method uses Fast Fourier Transform (FFT) with one group pre-test-post-test research design. The independent variable is the EMG signal when doing plank activities, while the dependent variable is the result of monitoring the EMG signal. To get more detailed measurement results, the authors use MPF, MDF and MNF and perform a T-test. The test results showed a significant value (pValue <0.05) in the pre-test and post-test. The Pearson correlation test got a value of 0.628 which indicates there is a strong relationship between exercise frequency and plank duration. When the respondent experiences muscle fatigue, the heart signal is affected by noise movement artifacts that appear when doing the plank. It is concluded that the tools in this study can be used properly. To overcome noise in the EMG signal, it is recommended to use dry electrodes and high-quality components. To improve the ability to transmit data, it is recommended to use a Raspberry microcontroller.
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 A K M Bellal Hossain Abd. Kholiq Abhilash Pati Agatha Putri Juniar Putri Juniar Santoso All Adin Nurhuda Anan Wongjan Andjar Pudji Bahaa Eddine ELBAGHAZAOUI Baharudin Adi Baharsyah Bambang Guruh Irianto Decoriza Kurnia Abadi Elga Rahmah Ramadhani Emre ÖZDEMĐRCĐ Endro Yulianto Her Gumiwang Ariswati I Dewa Gede Budi Whinangun I Dewa Gede Hari Wisana I Kade Nova Paramartha Indrato, Tri Bowo Kamilu O. Lawal Lusiana Lusiana M. Aldi Bahij Faroby M. Ridha Mak'ruf M. Ridha Makruf Michelle Omoogun Muhammad Fauzi Muhammad Ridha Mak'ruf Pawana, I Putu Alit Priyambada Cahya Nugraha Setioningsih, Endang Dian Shofiyah Shofiyah Syaifudin Torib Hamzah Torib Hamzah Torib Hamzah Tri Bowo Indrato Triwiyanto Triwiyanto Utomo, Bedjo Vijay Anant Athavale Vishwajeet Shankhwar Wahyu Caesarendra