Articles
Measuring Respiration Rate Based Android
I Kadek Eman Giyana Mahardika;
Torib Hamzah;
Triana Rahmawati;
Liliek Soetjiatie
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 1 No 1 (2019): August
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia
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DOI: 10.35882/ijeeemi.v1i1.7
Respiratory rate measurement tool is a technique used to determine the number of respiratory activity a person every minute. In the classification of the number of breathing per minute someone, can be divided into three groups, namely the so-called eupnea/normal, above average breathing called tachypnea, while below the average so-called bradypnea. This method is highly dependent on the concentration of the mind and senses actor sensitivity measurement / observation. Therefore human nature is easy to forget, tired and bored, so now developed a method of measurement or observation of respiratory rate electronically. In this study, respiratory rate measurement making use flex sensor by placing the sensor in the patient's stomach and will detect the curvature of the patient's stomach. Results from the patient's respiratory displayed on the LCD Character and android using HC-05 Bluetooth as the media sender. The results of the measurement data of the 10 respondents indicated the average - average error of 3.2%. After testing and data collection can be concluded that the appliance is eligible to use because it is still within the tolerance range of 10%.
Utilization of Power Setting in Monopolar Electrosurgery Unit With Additional Blend Modes
Muhammad Roni Setiawan;
Tri Bowo Indrato;
Triana Rahmawati
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 3 (2020): November
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia
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DOI: 10.35882/ijeeemi.v2i3.4
Electrosurgery unit has the purpose of damaging certain body tissues by heating the tissue. In this study there are several modes and also power selection. The contribution of this research is to design the power management and also the addition of several modes for the surgical process. Electrosurgery Unit involves the use of IC CMOS 4069 as a frequency generator. The frequency output is set at 250 KHz and then passed on to the pulse regulator circuit and controlled by using Arduino and then forwarded to the inverter circuit which functions to increase the voltage and output in the form of power. Modules are calibrated using ESU Analyzer. This module is equipped with a selection of LOW, MEDIUM, and HIGH power. And also there are some additional modes including Blend 1 and Blend 2. After the measurement is carried out, the voltage values obtained at the setting of low, medium high, on the inverter input with a value on Blend 1 mode low 80 V with an error of 0.84%, Medium 90 V with error 0.84%, High 104 V with an error of 0.81%, in Blend 2 mode low 84 V with an error of 0.83%, Medium 86 V with a error of 0.85%, High 105 V with an error of 0.81%, the Cutting mode is low 162 V with an error of 2.88%, medium 172 V with an error of 3.03%, High 192 V with an error of 2.86%. The measurement shows an error of less than 1% for Blend 1 and Blend 2 modes while cutting is less than 3%. The results of this study can be implemented in order to minimize errors due to lack of power settings and mode selection during surgery.
An Improved Power Management System in Electrosurgery Unit Monopolar Design
Riga Domigata;
Tri bowo Indrato;
Triana Rahmawati;
Narongrit Sanajit
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 2 (2020): August
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia
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DOI: 10.35882/ijeeemi.v2i2.6
In using the Electrosurgery unit, improper power settings and modes can cause tissue damage, so it is necessary to adjust the cutting mode and power settings needed. The purpose of this research is to design power control and cutting mode in Electrosurgery using Arduino nano as a regulator of power and pulse or duty cycle. The contribution of this research is the creation of power control and mode in the Electrosurgery unit to increase power and cutting mode. This is to control the electrosurgery power. The LM2907 IC frequency to voltage circuit is used as a voltage regulator, which is issued according to the frequency with the power selection LOW, MEDIUM, HIGH. The method used is the CMOS 4069 device as a frequency generator at 250 kHz, then the driver pulse is passed and controlled by the ATmega328 IC, then forwarded to an inverter circuit that functions to increase the voltage and output in the form of power. After the measurement process is carried out on the inverter input with a Blend mode three value, the voltage value is obtained at the low setting 100 V error 0.03%, medium setting 110V error 0.02%, High setting 120 V Error -0.02%. While the measurement results in the coagulation mode are the low setting error of 100 V 0.05%, the medium setting error is 110V 0.08%. High setting error is 130 V 0.003%. The measurements show that the error in power management is lower than 1%. The results of this study can be implemented in the electrosurgery unit to reduce tissue damage due to a lack of cutting modes and power management.
Utilization of Power Setting in Mono-polar Electrosurgery Unit With Additional Blend Modes
Muhammad Roni Setiawan;
Tri Bowo Indrato;
Triana Rahmawati;
Bedjo Utomo
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 2 (2020): August
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia
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DOI: 10.35882/ijeeemi.v2i2.7
Electrosurgery unit has the purpose of damaging certain body tissues by heating the tissue. In this study there are several modes and also power selection. The contribution of this research is to design the power management and also the addition of several modes for the surgical process. Electrosurgery Unit involves the use of IC CMOS 4069 as a frequency generator. The frequency output is set at 250 KHz and then passed on to the pulse regulator circuit and controlled by using Arduino and then forwarded to the inverter circuit which functions to increase the voltage and output in the form of power. Modules are calibrated using ESU Analyzer. This module is equipped with a selection of LOW, MEDIUM, and HIGH power. And also there are some additional modes including Blend 1 and Blend 2. After the measurement is carried out, the voltage values obtained at the setting of low, medium high, on the inverter input with a value on Blend 1 mode low 80 V with an error of 0.84%, Medium 90 V with error 0.84%, High 104 V with an error of 0.81%, in Blend 2 mode low 84 V with an error of 0.83%, Medium 86 V with a error of 0.85%, High 105 V with an error of 0.81%, the Cutting mode is low 162 V with an error of 2.88%, medium 172 V with an error of 3.03%, High 192 V with an error of 2.86%. The measurement shows an error of less than 1% for Blend 1 and Blend 2 modes while cutting is less than 3%. The results of this study can be implemented in order to minimize errors due to lack of power settings and mode selection during surgery.
A Low Cost Negative Pressure Wound Therapy Based on Arduino
Fikri Fahriansyah Pramono;
Sari Luthfiyah;
Triana Rahmawati;
Nur Hasanah Ahniar
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 2 (2020): August
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia
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DOI: 10.35882/ijeeemi.v2i2.2
Instant life patterns and eating patterns and inappropriate exercise schedules are thought to be one of the causes of the increasing number of diabetes mellitus. Complications that can be caused by this disease are in the form of excessive susceptibility to infection, so that it develops into diabetic ulcers and can lead to amputations in these parts of the body. The purpose of this study is to design a tool used to treat diabetic ulcers. The contribution of this study is that the system can help remove fluid from the wound with controlled suction pressure so that it can facilitate the healing process faster. This Negative Pressure Wound Therapy (NPWT) tool works based on negative pressure from the vacuum motor by utilizing MPXV4115VC6U and MPXV5050VC6T1 pressure sensors at a pressure limit of 0 to -350 mmHg. Using an Arduino microcontroller for data processing, it will then be displayed on the 2x16 LCD. The MPX4115VC6U sensor produces a pressure of -55.97 mmHg when setting -50 mmHg and the resulting output is 3.32 volts, while the MPXV5050VC6T1 sensor produces a pressure of 51.18 mmHg at a setting of 50 mmHg and the resulting output is 3.18 volts, from the above data it can be seen if the MPX5050VC6TI sensor has a smaller error given
IDENTIFIKASI sEMG PADA WANITA PEMAKAI SEPATU BERHAK TINGGI MENGGUNAKAN METODE FFT
I Dewa Gede H.W;
Priyambada Cahya N;
Liliek Soetjiatie;
Triana Rahmawati
JURNAL PENELITIAN KESEHATAN Vol 13, No 1 (2015): Jurnal Penelitian Kesehatan
Publisher : Poltekkes Kemenkes Surabaya
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"Wearing High Heel, Face Smiling, Heart Screaming", that's the headlines of one women'smagazine in Indonesia. Shoes are one of which had a role in the activity of a woman.Shoes have health function and aesthetics. Several studies have reported that theproportion of the prevalence of foot problems in women is associatedwith the use of high heels.One of the health problems caused by high heels is osteoarthritis. Symptoms include pain andstiffness in muscles and joints of bones. In the lower stage, a complaint can be treated withmedication and exercise movement. In later stages require surgery replacement cushions joints. Basedon the effects of the joints and muscles of the foot, the research about the use of high-heeled shoesnecessary.This study uses the FFT method that generates the frequency spectrum of the EI\1G signal on thegastrocnemius muscle and soleus muscle. The results of the frequency spectrum of thesignal provided an information about the content of the signal frequency form. Afterobtained the spectrum of the signal is, then it's calculated Mean Power Frequency(MPF).In this study, MPFvalue on the soleus muscle produced the 100-200 Hz frequency, the gastrocnemiusmuscleshowed a lower frequency than the soleus muscle 60-80 Hz frequency. The use of high heels7 Cm affect the soleus muscle increasing in the frequency ofthe initial frequency of 100-120 cm be180-200 Hz frequency. The use of high shoes with different rights can be classified clearly in the soleusmuscle MPF.It shows that the soleus muscle a major effect on height heel imposed on respondents. Theuse of high heels from 3 cm to 7 cm does not change the frequency of gastrocnemius muscle.Frequencyare still remain 60-80 Hz.KEYWORDS: Signals, Frequency, Muscles, Shoes
Analysis of Drop Sensor Accuracy in Central Infusion Peristaltic Monitoring Based on Computer Using Wireless Communication HC-11
Syaifudin Syaifudin;
Triana Rahmawati;
Siti Rohmatul Jannah;
Sandeep Kumar Gupta;
Ram Gopal
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 2 (2022): May
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia
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DOI: 10.35882/ijeeemi.v4i2.2
In some hospitals, the infusion is still done manually, where medical personnel observe the liquid droplets directly and then control the rate using a mechanical resistor (clamp). This method is certainly far from accurate. An infusion pump is a medical aid that functions to control and ensure the correct dose of infusion fluid given to patients treated. The purpose of this study was to analyze the accuracy of the infrared photodiode as a drop sensor based on the readings of the infusion pump monitoring system. This module consists of a photodiode infrared drop sensor module, a comparator circuit, a monostable circuit, a stepper motor, an L298N motor driver, and an ATmega328 microcontroller. The droplets were detected by an infrared photodiode sensor, then compared with a comparator and monostable circuit as an oscillator developer, and then the flow rate and residual volume readings were generated by the ATmega328 microcontroller. Next, this data has sent to the computer via the HC-11 wireless. The results of the flowrate module measurement show the highest error value of 3% at the 30 ml/hour setting and the lowest error value of 2.5% at the 60 ml/hour setting. Meanwhile, the results of the flow rate measurement using an infusion device analyzer obtained the highest error value of 4% at the setting of 30 ml/hour and 60 ml/hour, and the lowest error value of 0.8% at the setting of 100 ml/hour. Monitoring the infusion pump was designed centrally to facilitate the nurse's task in monitoring the infusion dose given to the patient accurately. Based on this research, the accuracy of the infrared sensor and photodiode is very good by looking at the existing error rate.
Dynamic feature for an effective elbow-joint angle estimation based on electromyography signals
Triwiyanto Triwiyanto;
Triana Rahmawati;
Endro Yulianto;
Muhammad Ridha Mak'ruf;
Priyambada Cahya Nugraha
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v19.i1.pp178-187
Some physical parameters influence the electromyography signal (EMG). when the EMG signal is used to estimate the position of the elbow. An adaptable feature was important to reduce a variation on the parameters. The aim of this paper is to estimate the joint position of the elbow using EMG signal based on a dynamic function. The major contribution of this work is that the method proposed is capable of determining the elbow position using the non-pattern (NPR) recognition (PR) method. A Wilson amplitude (WAMP) which used a dynamic threshold was used to reduce the EMG signal. The dynamic threshold was generated from the root mean square (RMS) processor. With the dynamic threshold, the model could adapt to any variations on the independent variables. In order to confirm this opportunity, this work involved ten healthy male subjects to perform an experimental protocol. After a tuning and calibration process, the mean of RMS error and correlation coefficient are 9.83º±1.69º and 0.98±0.01 for a single cycle of motion, 10.39º±1.82º and 0.97±0.01 for a continuous cycle of motion and 15.19º±1.92º and 0.94±0.02 for the arbitrary gesture. For conclusion, the performance of the prediction did not significantly depend on the varying cycle of gesture (p-value>0.05). This study has confirmed that the success of the non-pattern recognition-based prediction of elbow position is adaptable to any different subjects, loads, and speed of motion.
Accuracy Analysis on Dual Pressure (Positive and Negative) Calibrator Design to Investigate the Sensor Response
Abdi Wibowo;
Triana Rahmawati;
Priyambada Cahya Nugraha;
I Dewa Gede Hari Wisana;
Honey Honey;
Mansour Asghari
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 3 (2022): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI
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DOI: 10.35882/jeeemi.v4i3.247
Calibration is an activity to determine the conventional correctness of the value of measuring instrument designation and measuring material by comparing against the measuring standards that are traced to national or international standards. A sphygmomanometer is a device used to measure blood pressure. Suction pump is a tool to suck various types of fluid formed from the body's secretion process that under certain conditions need to be cleaned. DPM (Digital Pressure Meter) is a tool for calibrating sphygmomanometers and suction pumps. Therefore, it takes a calibrator device to calibrate both tools. The purpose of this study was to determine the sensor response and analyze the accuracy of the design of a dual pressure calibrator (+ and -) that can be used for two devices at once (sphygmomanometer and suction pump) using one sensor (pss-C01V-R18 autonics). The research was conducted at the Campus of the Department of Electrical Engineering Of The Ministry of Health Surabaya, first the data was taken from three different brands of sphygmomanometer and suction pump, the second data was taken using module calibrators, and the third data collection from modules and comparison tools (DPM). In this study successfully measured positive and negative pressure with autonics sensors, the results obtained are accurate in accordance with the results of standard tools. The result of this tool can be used for dual pressure calibrators using autonics sensors.
Implementation of Gyro Accelerometer Sensor for Measuring Respiration Rate Based on Inhale and Exhale Using Kalman Filter
Fitriyana Jayanti;
Triwiyanto Triwiyanto;
Triana Rahmawati;
Abdussalam Ali Ahmed
Jurnal Teknokes Vol 15 No 4 (2022): December
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia
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DOI: 10.35882/teknokes.v15i4.479
Respiratory rate is a fundamental vital sign that is sensitive to different pathological conditions including heart, lung, emotional stress, the influence of body temperature and activity fatigue. The respiratory rate in humans is measured by counting the number of breaths for one minute by monitoring and counting the number of times the chest rises and falls during the inhale and exhale process. Various methods for measuring respiratory rate that are commonly used including pneumograph, impedance and capnography are applied in patient monitoring. This study aims to examine and analyze the application of the kalman filter on the output of the gyro accelerometer sensor to increase the results of the detection of respiratory rates using the gyro accelerometer sensor. This study test was carried out using a patient simulator in Surabaya Ministry of Health Polytechnic nursing laboratory. This simulator patient can simulate respiration with a mechanical work system up and down the chest and abdomen, uses an Arduino Nano microcontroller to filter the output of the gyro accelerometer sensor and the results will be compared before and after the filter. The independent variable in this study is the respiration value, while the dependent variable is the sensor output before being filtered. In the relaxed condition of the respondent The most effective use of the kalman filter is found in the parameters R = 10, Q = 0.1 because in the use of these parameters, the value after being filtered has a value that tends to be stable. The highest error value in the application of the gyro accelerometer sensor occurs at sensor position 1 with R = 1 Q = 10 value of 2,6%. This study shows the effect of differences in respiration values before and after using a kalman filter. This study has limited differences in values that are far between the pre filter and after being filtered in several data collections.