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A Coagulation Mode on Bipolar Electrosurgery Unit Using 350 KHz Frequency and Power Selection 采用350khz频率和功率选择的双极电外科装置的凝固模式
Pub Date : 2021-07-19 DOI: 10.35882/JEEEMI.V3I2.2
Prastawa Asalim Tetra Putra, B. G. Irianto, T. Indrato, L. Lamidi, Rizki Andriyanto, N. Bouzeghaia
Losing a lot of blood during surgery using a conventional scalpel is something that is highly avoided. The purpose of this study is to replace the conventional scalpel with a tool that utilizes a high frequency whose duty cycle is regulated and then centered at one point. Researchers take advantage of the effect of heat generated by high frequencies which are centered at one point so that it can be used for the process of surgery and coagulation in body tissues so as to minimize the occurrence of a lot of blood loss. Researchers use a high frequency of 350 KHz which is set with a duty cycle of 6% on 94% off and is equipped with 3 levels of power selection and uses forceps as a medium to concentrate high frequencies at one point. The module design consists of a 350 KHz frequency generator, a pulse control circuit to adjust the duty cycle, a power control circuit as a power setting, a driver circuit to combine the frequency with the set power so that different outputs are obtained according to the settings, and an inverter circuit to increase the voltage. In this study, after measuring using an oscilloscope in the driver circuit, the average output amplitude at each low, medium, and high setting was 27.25 Vpp, 28 Vpp, and 28.625 Vpp. The results showed that the bipolar electrosurgery unit (coagulation) module as a whole can replace conventional scalpels so that it can minimize the occurrence of a lot of blood loss during surgery. However, the frequency generator and power selection need to be improved.
在使用传统手术刀的手术过程中大量失血是高度避免的。本研究的目的是用一种利用高频的工具取代传统的手术刀,这种工具的占空比是可调节的,然后集中在一点上。研究人员利用以一点为中心的高频产生的热量的作用,将其用于手术和机体组织凝固的过程,从而最大限度地减少大量失血的发生。研究人员使用350 KHz的高频,该高频设置为占空比为6%,占空比为94%,配备3级功率选择,并使用镊子作为介质将高频集中在一点。模块设计包括350khz频率发生器、调节占空比的脉冲控制电路、作为功率设置的功率控制电路、将频率与设定功率结合以根据设置获得不同输出的驱动电路、以及增加电压的逆变电路。在本研究中,在驱动电路中使用示波器测量后,在每个低、中、高设置下的平均输出幅度分别为27.25 Vpp、28 Vpp和28.625 Vpp。结果表明,双极电外科单元(凝血)模块作为一个整体可以替代传统手术刀,从而最大限度地减少手术过程中大量失血的发生。但是,频率发生器和功率选择需要改进。
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引用次数: 0
Long Distance Dual SpO2 Monitoring in Premature Babies Via Bluetooth Communication 基于蓝牙通信的早产儿双SpO2远程监测
Pub Date : 2021-07-19 DOI: 10.35882/JEEEMI.V3I2.7
P. C. Nugraha, M. Mak’ruf, Lusiana, Sari Luthfiyah
Monitoring the baby's health status is very important, especially for babies born prematurely. Oxygen saturation levels in newborns are very important to know because when the oxygen saturation levels in newborns are low, it is necessary to watch out for hemodynamic abnormalities in the baby. Measurement of oxygen saturation levels in newborns can help detect congenital abnormalities in infants early. This study aims to design an equipment system to continuously monitor the condition of oxygen saturation in newborns. Where in this discussion a monitoring tool is used to monitor 2 premature babies in a baby incubator simultaneously using a Neonatal Fingertip sensor. The system will display the oxygen saturation (SpO2) value and signal. Monitoring on this tool is done wirelessly using the HC-05. Based on the results of tests and measurements in 5 different patients with a pulse oximeter comparison, the difference value of 1% in each patient's results was obtained. The results of this study will greatly help facilitate the work of paramedics in monitoring the vital conditions of newborn babies.
监测婴儿的健康状况非常重要,特别是对早产的婴儿。了解新生儿的血氧饱和度非常重要,因为当新生儿的血氧饱和度较低时,有必要注意婴儿的血液动力学异常。测量新生儿的血氧饱和度可以帮助早期发现婴儿的先天性异常。本研究旨在设计一套新生儿血氧饱和度连续监测设备系统。在本讨论中,使用一种监测工具使用新生儿指尖传感器同时监测婴儿孵化器中的2个早产儿。系统将显示氧饱和度(SpO2)值和信号。使用HC-05对该工具进行无线监控。根据对5例不同患者脉搏血氧仪的检测和测量结果进行比较,得出每位患者结果的差异值为1%。本研究结果将极大地促进护理人员对新生儿生命状况的监测工作。
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引用次数: 1
Apnea Monitor Using Pulse Oxymetry with Tactile Stimulation to Reduce Respiration Failure 触觉刺激下脉搏氧饱和度监测呼吸暂停减少呼吸衰竭
Pub Date : 2021-07-19 DOI: 10.35882/JEEEMI.V3I2.3
Levana Forra Wakidi, I. D. G. Wisana, Anita Miftahul Maghfiroh, Vijay K. Sharma
Respiratory failure (apnea) often occurs in premature babies, this should be avoided because it causes low oxygen concentrations in the blood so that it can damage brain function and lead to death. Apnea is characterized by a decrease in oxygen saturation (SpO2). The purpose of this study was to design an apnea monitor that was detected with SpO2 parameters, alarms, and vibrating stimulation. This study uses infrared and red LEDs that emit light through the surface of the finger and is detected by a photodiode sensor, this light signal will be converted into an electrical signal and calculated by Arduino to determine the patient's SpO2 and BPM values. If the SpO2 value drops 5% within 5 seconds from the baseline, the device will indicate apnea has occurred and the vibrating motor is working. SpO2 signals and alarms are sent to the nurse station computer via Bluetooth HC-05. The instrument was calibrated with an SpO2 calibrator and the measurement results were compared with a BION pulse oximetry brand. The results of the instrument measurement on two subjects on the SpO2 parameter showed an error value of 2% and the BPM parameter obtained an error value of 4.54%. Testing the BPM parameter using a calibrator at the 30 and 60 BPM settings shows an error value of 0% and at the 120 BPM setting the error value is 0.01%. The vibrating motor to stimulate the baby's body when apnea occurs is functioning properly. The results showed that measurements using subjects tended to have high error values ​​due to several factors. This research can be implemented on patient monitors to improve patient safety and reduce the workload of nurses or doctors
呼吸衰竭(呼吸暂停)经常发生在早产儿身上,这应该避免,因为它会导致血液中氧浓度低,从而损害大脑功能并导致死亡。呼吸暂停的特征是氧饱和度(SpO2)降低。本研究的目的是设计一种呼吸暂停监测仪,通过SpO2参数、报警和振动刺激来检测。本研究使用红外和红色led通过手指表面发光,并由光电二极管传感器检测,该光信号将转换为电信号并由Arduino计算,以确定患者的SpO2和BPM值。如果SpO2值在5秒内从基线下降5%,则设备将指示发生呼吸暂停,振动电机正在工作。SpO2信号和报警通过蓝牙HC-05发送到护士站电脑。用SpO2校准器对仪器进行校准,并将测量结果与BION脉搏血氧仪品牌进行比较。仪器测量两名受试者的SpO2参数误差值为2%,BPM参数误差值为4.54%。使用校验器在30和60 BPM设置下测试BPM参数,显示错误值为0%,在120 BPM设置下,错误值为0.01%。当呼吸暂停发生时,刺激婴儿身体的振动马达运转正常。结果表明,由于多种因素的影响,使用受试者的测量往往具有较高的误差值。本研究可以在患者监护仪上实施,以提高患者安全,减少护士或医生的工作量
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引用次数: 1
Performance Evaluation of IoT-based SpO2 Monitoring Systems for COVID-19 Patients 基于物联网的COVID-19患者SpO2监测系统性能评价
Pub Date : 2021-07-19 DOI: 10.35882/JEEEMI.V3I2.1
Trie Maya Kadarina, R. Priambodo
Internet of Things (IoT) applications can be used in healthcare services to monitor patients remotely. One implementation is that it is used to monitor COVID-19 patients. During the COVID-19 pandemic, people who are infected without symptoms must self-isolate so that the virus does not spread. Measurement of blood oxygen levels or SpO2 is one of the measurements that must be carried out in routine examination procedures for self-isolating patients for early detection of silent hypoxemia in COVID-19 patients. Previous research has developed an IoT-based health monitoring system with a Wireless Body Sensor Network (WBSN) and a gateway that can be used for data acquisition and transmission. The system uses a home pulse oximeter to measure SpO2 and heart rate and an Android application that functions as an IoT gateway to collect data from sensors and add location information before sending data to the server. The WBSN has been successfully integrated with two types of open source IoT platforms, namely ThingsBoard and Elasticsearch Logstash Kibana (ELK). However, it is necessary to carry out further studies on analytical and experimental performance tests of the two systems. Therefore, the purpose of this study is to develop a performance evaluation of the IoT-based SpO2 monitoring systems using the Thingsboard and ELK as IoT platforms. To evaluate the performace we ran the monitoring system on both platforms using pulse oximeter and Android device as IoT gateway with HTTP and MQTT as transport protocol for sending the data to the server. From this study we found that average time of message delivery in ELK compared to ThingsBoard using the same protocols was higher but stable.
物联网(IoT)应用程序可用于医疗保健服务,以远程监控患者。一种实施方法是用于监测COVID-19患者。在2019冠状病毒病大流行期间,无症状感染者必须自我隔离,以免病毒传播。测定血氧水平或SpO2是自我隔离患者常规检查程序中必须进行的测量之一,以便及早发现COVID-19患者无症状性低氧血症。此前的研究开发了一种基于物联网的健康监测系统,该系统具有无线身体传感器网络(WBSN)和可用于数据采集和传输的网关。该系统使用家庭脉搏血氧仪来测量SpO2和心率,并使用Android应用程序作为物联网网关,从传感器收集数据并添加位置信息,然后将数据发送到服务器。WBSN成功集成了两种开源物联网平台,即ThingsBoard和Elasticsearch Logstash Kibana (ELK)。但是,有必要对这两种系统进行进一步的分析和实验性能测试研究。因此,本研究的目的是利用Thingsboard和ELK作为物联网平台,对基于物联网的SpO2监测系统进行性能评估。为了评估性能,我们在两个平台上运行监测系统,使用脉搏血氧仪和Android设备作为物联网网关,使用HTTP和MQTT作为传输协议将数据发送到服务器。从这项研究中我们发现,与使用相同协议的ThingsBoard相比,ELK中的消息传递的平均时间更高,但更稳定。
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引用次数: 2
Prototype Design of Carbon Monoxide Box Separator as a Form of Ar-Rum Verse 41 and To Support Sustainable Development Goal`s Number 13 (Climate Action) 作为Ar-Rum第41节形式的一氧化碳箱式分离器原型设计并支持可持续发展目标第13号(气候行动)
Pub Date : 2021-07-19 DOI: 10.35882/JEEEMI.V3I2.6
A. Nugraha, Dadang Priyambodo
The maritime sector is one of the paths to Golden Indonesia 2045. This is because 70% of Indonesia's territory is a sea with an area of ​​3.25 million km2 and is supported by the large potential that can be utilized for the welfare of Indonesia, one of which is as a contributor to foreign exchange with foreign exchange potential from maritime sector amounting to US $28 million to US $56 million. The problem lingers on how to possible solve the problem regarding air pollution without shutting down industrial operations. Many multinational power plants have launched different campaigns in order to minimize the problem like planting trees and the like. But these small growing industries like grilling restaurants have given way to arising problem of air pollution issues On the other hand, the ocean is a contributor to half of the world's oxygen. But in a period of 50 years, areas with minimal oxygen levels in the oceans have increased. The main cause is global warming, one of which comes from increasing levels of carbon monoxide in the air. One of these gases comes from incomplete combustion in motorized vehicles. This is also exacerbated by the growth of motorized vehicles which has increased by 11.5% per year. If left like this, marine life will be destroyed and Indonesia will not reach its peak of glory in 2045. So to overcome this problem, a prototype design of Carbon Monoxide Box Separator was created. This prototype is a combination of detector sensors consisting of MQ7 to detect carbon monoxide, MQ135 to measure air quality, and DHT11 to measure humidity and air temperature, as well as a high voltage system on the L-Box (Lightning Box) which can produce O2 because of the copper plate. on the L-Box will bind the element carbon to carbon monoxide using a voltage of 400 kV. With this prototype design, it is hoped that Indonesia can achieve its glory and also as a form of QS practice. Ar-Rum verse 41 regarding Allah's command to preserve nature and the environment.
海事部门是通往“金色印尼2045”的道路之一。这是因为印度尼西亚70%的领土是海洋,面积为325万平方公里,具有可用于印度尼西亚福利的巨大潜力,其中之一是作为外汇贡献者,海洋部门的外汇潜力达2800万至5600万美元。问题在于如何在不关闭工业生产的情况下解决空气污染问题。许多跨国发电厂已经发起了不同的运动,以尽量减少问题,如植树等。但是,这些像烧烤店这样的小型增长行业已经让位于日益严重的空气污染问题。另一方面,海洋是世界上一半氧气的来源。但在50年的时间里,海洋中氧气含量最低的地区增加了。主要原因是全球变暖,其中之一是空气中一氧化碳含量的增加。其中一种气体来自机动车辆的不完全燃烧。机动车辆的增长也加剧了这种情况,每年增长11.5%。如果这样下去,海洋生物将被摧毁,印度尼西亚将无法在2045年达到其荣耀的顶峰。为了解决这一问题,本文设计了一氧化碳箱式分离器的原型。该原型是由检测器传感器组成的组合,其中MQ7用于检测一氧化碳,MQ135用于测量空气质量,DHT11用于测量湿度和空气温度,以及L-Box (Lightning Box)上的高压系统,该系统可以产生O2,因为铜板。L-Box上的碳元素会在400千伏电压下与一氧化碳结合。通过这个原型设计,希望印尼能够实现它的辉煌,也作为QS实践的一种形式。arrum第41节关于安拉保护自然和环境的命令。
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引用次数: 3
Oximeter and BPM on Smartwatch Device Using Mit-App Android with Abnormality Alarm 使用带有异常报警功能的Mit-App Android智能手表设备上的血氧仪和BPM
Pub Date : 2021-07-19 DOI: 10.35882/JEEEMI.V3I2.4
B. Utomo, Syaifudin Syaifudin, Endang Dian Setioningsih, Torib Hamzah, Parameswaran Parameswaran
Monitoring is an activity that is carried out continuously. Healthy condition is a parameter that is needed in life, one of the important parameters is the measurement of oxygen saturation in the blood and heart rate. The purpose of this research is to develop a Smartwatch SpO2 device and BPM sensor that is connected to WIFI using the Android Platform instead of using an LCD for parameter reading. This module design method uses the MAX30100 sensor to display the SpO2 and BPM values ​​displayed on the OLED. Data processing is carried out using ATMEGA 328P programming and then displayed in the Android-based Mit-app application. The results show the average error for the SPO2 value is 0.868 % and the standard deviation is 0.170 %, while the BPM value has an average error of 0.56 % and a standard deviation of 0.30%. From the results of the comparison data analysis, the largest error was 1.03% and the smallest was 0.62% for Spo2 ml/hour with an accuracy of 0.05 (0.57%) with a precision value of 0.08 at the selection speed of 50 ml/hour. From the results above, it can be concluded that the data can be displayed on OLED using the Mit-app Android application with an error rate accuracy of 0.57%.  From the results of this research design, it is hoped that it can facilitate the diagnosis of the condition of patients and health nurses
监控是一种持续进行的活动。健康状态是生命中所需要的一个参数,其中一个重要的参数是测量血液中的氧饱和度和心率。本研究的目的是开发一种智能手表SpO2设备和BPM传感器,该传感器使用Android平台连接到WIFI,而不是使用LCD进行参数读取。本模块设计方法使用MAX30100传感器来显示OLED上显示的SpO2和BPM值。使用ATMEGA 328P编程进行数据处理,然后在基于android的Mit-app应用程序中显示。结果表明,SPO2值的平均误差为0.868%,标准差为0.170%;BPM值的平均误差为0.56%,标准差为0.30%。对比数据分析结果显示,在50 ml/h的选择速度下,Spo2 ml/h的最大误差为1.03%,最小误差为0.62%,准确度为0.05(0.57%),精密度值为0.08。从以上结果可以得出,使用Mit-app Android应用程序可以在OLED上显示数据,错误率准确率为0.57%。从本研究设计的结果来看,希望能方便对患者病情的诊断和保健护士
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引用次数: 1
Design of Hybrid Portable Underwater Turbine Hydro and Solar Energy Power Plants: Innovation to Use Underwater and Solar Current as Alternative Electricity in Dusun Dongol Sidoarjo 混合式便携式水下涡轮水力和太阳能发电厂的设计:在Dusun donggol Sidoarjo使用水下和太阳能电流作为替代电力的创新
Pub Date : 2021-07-18 DOI: 10.35882/JEEEMI.V3I2.5
A. Nugraha, Dadang Priyambodo
The need for electrical energy in Indonesia continues to increase every year. In line with the increase in the electrification ratio to 100% in 2050, the demand for electrical energy is projected to reach 7 times, namely 1,611 TWh. To meet electricity needs, the government has created a 35 GW program, but one of the largest contributors to power generation fuel is coal with a share of 58% or around 50 GW which is estimated to be exhausted within the next 68 years. For this reason, innovations are needed in terms of fulfilling electrical energy by utilizing renewable energy potential, one of which is hydro energy, which is 45,379 MW from a total resource of 75,091 MW. Therefore, from this potential, innovations related to renewable energy have been created, namely the Hybrid Portable Underwater Turbine Hydro and Solar Energy hybrid power plant. This power plant uses an undersea current as a propulsion which is hybridized with solar power to increase the production of electrical energy. This power plant has the advantage that there is an Underwater turbine design that is resistant to underwater flow and a water flow direction to increase the work efficiency of the underwater turbine. From the test results, the portable Underwater turbine hydro produces 950 W in a day. Solar panels produce 65.6 Watts a day. The total hybrid that can be produced is 1.02 kW a day. In its implementation it can supply loads of up to 900 (VA) such as lamps, fans, TV, etc. This hybrid power plant can be a solution to help meet electricity needs in the area around Dusun Dongol, Sidoarjo through alternative electrical energy innovations.
印度尼西亚对电力的需求每年都在增加。根据2050年电气化率提高到100%,预计对电能的需求将达到7倍,即1,611太瓦时。为了满足电力需求,政府已经制定了一个35吉瓦的计划,但发电燃料的最大贡献者之一是煤炭,占58%的份额,约为50吉瓦,预计将在未来68年内耗尽。因此,需要在利用可再生能源潜力来满足电能方面进行创新,其中之一是水能,从总资源75,091兆瓦中获得45,379兆瓦。因此,从这一潜力出发,与可再生能源相关的创新被创造出来,即混合便携式水下涡轮水电和太阳能混合发电厂。这个发电厂使用海底电流作为推进,它与太阳能相结合,以增加电能的生产。该电站的优点是采用了抗水下水流的水下水轮机设计和水流方向,提高了水下水轮机的工作效率。从试验结果来看,便携式水下水轮机的日发电量为950瓦。太阳能电池板每天产生65.6瓦。混合动力的总发电量为每天1.02千瓦。在其实现中,它可以提供高达900 (VA)的负载,如灯具,风扇,电视等。该混合动力发电厂可以通过替代能源创新,帮助满足西都罗郡独善洞洞周围地区的电力需求。
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引用次数: 3
Development of Incubator Analyzer Using Personal Computer Equiped With Measurement Certificate 装有测量证书的微机培养箱分析仪的研制
Pub Date : 2020-07-23 DOI: 10.35882/jeeemi.v2i2.6
Laily Nurrohmah, D. Andayani, A. Pudji
Baby incubators are used for premature babies where babies are born prematurely. To ensure the accuracy of medical devices, periodic tests and controls need to be carried out aimed at reducing the risk of measurement. The baby incubator can be tested with a calibration device which is a device to calibrate temperature, noise, humidity, and airflow so that conditions remain stable and within normal limits. The purpose of this study was the development of a PC (Personal Computer) performing Incubator Analyzer with noise and airflow parameters. This type of research uses after only design. The standard incubator analyzer is not equipped with a PC and data processing via Excel, so the researchers created an Incubator Analyzer device that has four parameters to measure temperature, noise, humidity, and airflow. Using the Atmega328 Microcontroller as a data processor, equipped with sending data via Bluetooth HC-05 with data storage and output results will be displayed on a PC. Noise parameters using the Analog Sound Sensor V2 sensor and have the biggest error at 37oC setting temperature that is equal to 0.17%. While the airflow parameter uses an airflow sensor with type D6F-V3A01 and has the biggest error that is 0.5% at a temperature setting of 36oC and 37oC. The use of displays on personal computers and data processing using Excel, allows users to monitor calibration and data processing. The feasibility of this device is proven. Therefire, this design can be used for baby incubator calibration.
婴儿保温箱用于早产儿,婴儿过早出生。为了确保医疗器械的准确性,需要进行旨在减少测量风险的定期测试和控制。婴儿保温箱可以用校准装置进行测试,校准装置是一种校准温度,噪音,湿度和气流的装置,使条件保持稳定并在正常范围内。本研究的目的是开发一台PC(个人电脑)执行培养箱分析仪的噪音和气流参数。这种类型的研究只采用事后设计。标准的培养箱分析仪没有配备PC机,也没有通过Excel进行数据处理,因此研究人员开发了一种具有温度、噪音、湿度、气流等4个参数的培养箱分析仪。使用Atmega328微控制器作为数据处理器,配备通过蓝牙HC-05发送数据,并将数据存储和输出结果显示在PC上。噪声参数采用Analog Sound Sensor V2传感器,在37℃设定温度下误差最大,为0.17%。而气流参数使用D6F-V3A01型气流传感器,在36℃和37℃的温度设置下误差最大,为0.5%。在个人电脑上使用显示器和Excel进行数据处理,允许用户进行监控校准和数据处理。验证了该装置的可行性。因此,本设计可用于婴儿保温箱的标定。
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引用次数: 4
Comparison of Machine Learning Algorithm For Urine Glucose Level Classification Using Side-Polished Fiber Sensor 侧磨纤维传感器尿糖水平分类的机器学习算法比较
Pub Date : 2020-07-23 DOI: 10.35882/jeeemi.v2i2.1
Riky Tri Yunardi, R. Apsari, M. Yasin
Urine glucose levels can be used to determine if glucose levels in the human body are too high, which may be a sign of diabetes. A non-invasive urine glucose classification model was conducted by using of the color of urine after benedict reaction to measure the level of glucose. The aim of this study is to classification urine glucose levels from a side-polished fiber sensor performed by using machine learning algorithms to get the best algorithm performance. By removing the coating and cladding this sensor is made of a polymer optical fiber. The measurement is focused on changes in the cladding refractive index which affects the amount of light transmitted.  The machine learning system has been implemented using the Naïve Bayes Classifier, k-Nearest Neighbor Classifier, Logistic Regression, Random Forest, Artificial Neural Networks and Support Vector Machine. The measurement data on samples were collected from previous studies of a total of 120 urine samples for testing in this study. The results of the experiments performed with k-fold cross validation show that the neural network gets the accuracy results of 96.7%, the value of precision 0.967, recall 0.967, and F1-Measure 0.967. With cross validation leave-one-out, the experimental results show the classification algorithm with the best accuracy value that is at the random forest and artificial neural networks 0.975, precision 0.975, recall 0975, and F1-Measure 0.975. While the ANN algorithm is superior in achieving an accuracy value of 98.6%. Therefore, artificial neural networks are the best method for classifying glucose levels in the human body for fasting and postprandial urine tests.
尿糖水平可以用来确定人体内的葡萄糖水平是否过高,这可能是糖尿病的征兆。采用本尼迪克特反应后尿液颜色测定血糖水平,建立无创尿糖分级模型。本研究的目的是通过使用机器学习算法对侧磨纤维传感器的尿糖水平进行分类,以获得最佳算法性能。通过去除涂层和包层,该传感器由聚合物光纤制成。测量的重点是包层折射率的变化,它影响光的透射量。机器学习系统使用Naïve贝叶斯分类器、k近邻分类器、逻辑回归、随机森林、人工神经网络和支持向量机实现。样本的测量数据来自以往的研究,本研究共收集了120份尿样进行检测。k-fold交叉验证实验结果表明,神经网络的准确率为96.7%,精密度为0.967,召回率为0.967,F1-Measure为0.967。通过交叉验证留一,实验结果表明,该分类算法在随机森林和人工神经网络下的准确率值为0.975,精密度为0.975,召回率为0975,F1-Measure为0.975。而人工神经网络算法的准确率达到了98.6%。因此,人工神经网络是对空腹和餐后尿液测试中人体葡萄糖水平进行分类的最佳方法。
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引用次数: 1
Baby Incubator Based on PID Control With Kangaroo Mode (Kangaroo Mode and Humidity) 基于PID控制的袋鼠模式婴儿培养箱(袋鼠模式和湿度)
Pub Date : 2019-10-01 DOI: 10.35882/JEEEMI.V1I2.3
N. Hidayati, Endro Yulianto, A. Kholiq
Baby Incubator is one of the electromedical equipment used to provide protection to premature babies or low birth weight. Baby care in the baby incubator causes separation of mother and baby. A new innovation in the care of premature babies who bring their babies and mothers closer is Kangaroo Method Management (PMK). Kangaroo method treatment aims to create emotional attachment to the baby, so that the mother will confidently take care. The research and manufacture of this module uses a method of treating baby incubator by adding a reading of the room temperature when the kangaroo mode runs at a setting of 34 ° C - 37 ° C with the effect of room temperature at 18 ° C, 24 ° C, and 30 ° C and setting the humidity control automatically by measuring at a temperature of 32 ° C, then measuring the results immediately. Sensors used to detect temperature are LM35 sensors and sensors used to detect humidity using DHT22. Based on the measurement results obtained uncertainty values ​​on the measurement of humidity 2.1, the measurement of temperature stability can be seen from the results of the graph which shows that the room temperature is not too influential at the temperature of the baby incubator. This study has shown the development of baby incubators to help mothers who have babies born prematurely so that they can have a good bond with how to treat skin to skin. This study has proven that its accuracy is appropriate to be used to stabilize the condition of babies born prematurely and help to treat PMK in some hospitals. In the future, this research can be made and used in small clinics in villages at low costs.
婴儿保温箱是一种电子医疗设备,用于为早产儿或低出生体重婴儿提供保护。婴儿保育箱中的婴儿护理会导致母婴分离。一个新的创新在早产儿谁把他们的婴儿和母亲更接近的护理是袋鼠法管理(PMK)。袋鼠式治疗的目的是建立对宝宝的情感依恋,这样妈妈就会自信地照顾宝宝。本模块的研究制造采用袋鼠模式在34°C - 37°C的设置下,在18°C、24°C、30°C的室温效果下,增加一个室温读数来处理婴儿保育箱,在32°C的温度下测量,自动设置湿度控制,然后立即测量结果。用于检测温度的传感器为LM35,用于检测湿度的传感器为DHT22。根据测量湿度2.1得到的不确定度值的测量结果,从结果图中可以看出温度稳定性的测量结果,室温对婴儿保温箱温度的影响不大。这项研究表明,婴儿保育箱的发展可以帮助早产婴儿的母亲,使她们能够很好地了解如何对待皮肤。本研究证明,其准确性是适当的,用于稳定早产儿的状况,并有助于治疗PMK在一些医院。在未来,这项研究可以在村庄的小诊所以低成本进行和使用。
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引用次数: 2
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Journal of Electronics, Electromedical Engineering, and Medical Informatics
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