{"title":"Evaluation of the Methods Used for the Vital Signs Measurement in Hospitalized Patients","authors":"Rukiye Numanoğlu, Onur Kocak, S. Malhan, E. Öksüz","doi":"10.1109/TIPTEKNO.2018.8597003","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2018.8597003","url":null,"abstract":"In general, vital signs measurements which includes measurement of blood pressure, body temperature, pulse and oxygen levels provide very important information about the health status of the hospitalized patients and the effects of treatment. Measurements and documentation of the vital signs carried out by nurses at hospitals. In this study, the methods used in vital signs measurements of hospitalized patients were evaluated by observations and interviews at a foundation university hospital and the advantages and disadvantages of the existing technologies were determined. As a result of interviews with healthcare providers and observations, it was determined that vital signs measurements of hospitalized patients were performed by 2 different methods. The mean time of vital signs measurements were determined as 3 minutes and 4 seconds (SD: 00:31) in medical treatment patients, 2 minutes and 11 seconds (SD: 00:18) in surgical patients, and 2 minutes and 37 seconds (SD: 00:37) in all patients. It was determined that the measurement results were recorded in the patient physical file in an average of 1 minute 2 seconds (SD: 00:52) and it was revealed that 15% of the measurement records were wrong, 26.9% were delayed and 10.6% were not recorded which performed by the nurses. It was also determined that the measurement results were not included in the hospital information system. It is thought that vital findings will provide important data for artificial intelligence studies in the following period with the recording of the results of the measurement to the electronic environment.","PeriodicalId":127364,"journal":{"name":"2018 Medical Technologies National Congress (TIPTEKNO)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123159420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Efficacy of IKVAV Peptide on HUVEC Microtissue Growth","authors":"Betül Köken, Z. Yaralı, O. Karaman","doi":"10.1109/TIPTEKNO.2018.8597062","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2018.8597062","url":null,"abstract":"The extracellular matrix (ECM) structure of the three-dimensional (3D) network of cells in body play an important role in cellular events. Cell-cell and cell-matrix interactions can be achieved in 3D cell culture systems as in vivo systems. For this reason, the loss of cell functions is less in 3D cultures than in two dimensional systems. Human umbilical cord vein endothelial cells (HUVECs) which are model cell types, are frequently used because of easily isolation and using vasculogenesis research in 3D culture. The isoleucine-Iysine-valine-alanine-valine (Ile-Lys- Val-Ala-Val (IKVAV)) sequence, one of the most effective units of laminin, is used as a support material in the ECM. IKVAV peptides can affect many cellular functions such as adhesion, proliferation, migration, metastasis, and are used in cell culture systems. The effects of IKVAV peptide on HUVEC microtissues were examined in this study. Increase in diameter was observed in microtissues incubated with concentrations of 0.5 and 1 mM peptides. Also when comparison of microtissues with and without peptide concentrations, has been shown to the IKVAV peptide increase cell viability. Compared with 0.5 and 1 mM, higher cell viability and diameter values are observed at 1 mM peptide concentration. This information supports the results of monolayer studies in the literature.","PeriodicalId":127364,"journal":{"name":"2018 Medical Technologies National Congress (TIPTEKNO)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124703668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Most Important Question in Device Imports: Is it a Medical Device, an Accessory, or a Cosmetic?","authors":"M. Sezdi","doi":"10.1109/TIPTEKNO.2018.8596983","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2018.8596983","url":null,"abstract":"Imported devices must be registered into the Turkey Pharmaceuticals and Medical Devices National Data Bank (TİTUBB). During these registrations the correct identification of the devices is important in terms of tracking and taxation of the devices. Occasionally, the customs officers are uncertain whether the imported device is a medical device, an accessory, or a cosmetic device. In such cases, the expertise of medical device specialists is consulted. In this paper, it is discussed how the device definitions are defined, and a few device definitions are presented as examples.","PeriodicalId":127364,"journal":{"name":"2018 Medical Technologies National Congress (TIPTEKNO)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123352004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Batuhan Albayrak, M. Darici, Furkan Kiraci, A. S. Öǧrencí, A. Özmen, Kerem Ertez
{"title":"Orak Hücreli Anemi Tespiti Sickle Cell Anemia Detection","authors":"Batuhan Albayrak, M. Darici, Furkan Kiraci, A. S. Öǧrencí, A. Özmen, Kerem Ertez","doi":"10.1109/TIPTEKNO.2018.8597092","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2018.8597092","url":null,"abstract":"Anemia is a common name given to falls in oxygen transport capacity due to some of the functional disadvantages of red blood cells. Pathology Laboratorians put the tissue on the microscope glass and try to diagnose Anemia disease. Processes have been taken for a long time and it has been caused to distract. Therefore it has been caused to misdiagnose the Laboratorian. This work shortens the diagnostic period of the disease and to minimizes error probability of this diagnosis by extracting healthy cells and just having sickle cells on the blood tissue using Image Processing Algorithms with an accuracy of 91.11 %, precision of 92.9 %, recall of 79.05 % for Sickle Cell Anemia.","PeriodicalId":127364,"journal":{"name":"2018 Medical Technologies National Congress (TIPTEKNO)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114067103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Real-Time Robotic Car Control Using Brainwaves and Head Movement","authors":"Nedime Öztürk, Bülent Yilmaz, Ahmet Yasin Önver","doi":"10.1109/TIPTEKNO.2018.8596956","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2018.8596956","url":null,"abstract":"Emotiv Epoc Headset is a portable and low-cost device. In this study, Emotiv Epoc headset was used in order to obtain real-time gyro and EEG signals. The aim of this study was to control a robotic car in real-time by using head movement and opening and closing of the eyes. The maximum and minimum amplitude of the gyro signal, and the ratios of the beta waves of O1 and O2 channel to alpha waves of the same channels were used as threshold values. These threshold values were used to determine the direction of the robotic car. Because of its low-cost and easy implementation, Arduino Uno was used to manage the robotic car. This study has shown that brain waves and head movements can control a device in real time. This system has the potential to be used in neurofeedback and brain-computer interface applications.","PeriodicalId":127364,"journal":{"name":"2018 Medical Technologies National Congress (TIPTEKNO)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125217352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Diagnogsis of Diabete mellitus Using Deep Neural Network","authors":"Ömer Deperli̇oğlu, U. Köse","doi":"10.1109/TIPTEKNO.2018.8596975","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2018.8596975","url":null,"abstract":"The basis for the determination of diabetes mellitus is the classification studies that constitute the infrastructure of clinical decision support systems. The main purpose of classification studies is to increase the classification performance and increase the diagnostic rate. Different classification methods and different optimization algorithms are used for this. In this context, in this study, a classification study with Autoencoder deep neural networks was performed for the diagnosis of diabetes mellitus. The Pima Indian diabetes dataset in the UCI machine learning laboratory, which is widely used in the classification study, was used. The results of the study were compared with the results of previous which focuses on the diagnosis of diabetes studies using the same UCI machine learning dataset. The obtained classification accuracy is 97.3% and higher than the previously mentioned classification methods. The obtained evaluations show that the proposed method is very efficient and increases the classification success.","PeriodicalId":127364,"journal":{"name":"2018 Medical Technologies National Congress (TIPTEKNO)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130506639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Novel Approach for Computing EEG Phase Synchronization: Interchannels Phase Clustering Method","authors":"Mehmet Akif Özçoban, A. Akan","doi":"10.1109/TIPTEKNO.2018.8596972","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2018.8596972","url":null,"abstract":"EEG is one of the most used devices in brain examinations, provides important information about many neurological diseases. The power of EEG signal's phase synchronization is a parameter that has been commonly used in brain investigations. The Interchannels Phase Clustering (ICPC) method that we propose in our study, is an improved version of the Intertrial Phase Clustering (ICPC) method. Global and regional phase synchronization studies can be done with ICPC method. The method is applied to the signals produced by an EEG simulator and the results are computed with high accuracy. This method can be applied to neuropsychiatric diseases and provide important information on functional connectivity and cognitive functions.","PeriodicalId":127364,"journal":{"name":"2018 Medical Technologies National Congress (TIPTEKNO)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129600689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ömer Yildirim, Zübeyir Özcan, Hilal Turhan, T. Kayikçioglu
{"title":"Network Master: A Versatile and User-Friendly Educational Software for Simulation of Neural Networks","authors":"Ömer Yildirim, Zübeyir Özcan, Hilal Turhan, T. Kayikçioglu","doi":"10.1109/TIPTEKNO.2018.8596865","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2018.8596865","url":null,"abstract":"In this study, an interface in which neural networks consisting of biological cells could be modeled and simulated using Neuron hoc programming. With this interface, the resulting action potentials and the behavior of the nerve network can be investigated in detail by making the desired stimuli to mathematical models of neural networks. The most important feature of the work is that the designed interface is completely user friendly. Another advantage of this software is that users can easily perform simulations of the neural network models without writing code.","PeriodicalId":127364,"journal":{"name":"2018 Medical Technologies National Congress (TIPTEKNO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131379699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Discrimination of Rest, Motor Imagery and Movement for Brain-Computer Interface Applications","authors":"Nedime Öztürk, Bülent Yilmaz","doi":"10.1109/TIPTEKNO.2018.8597152","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2018.8597152","url":null,"abstract":"Brain-computer interface (BCI) is a system that provides a means to control prosthesis, wheelchair, or similar devices using brain waves without direct motor nervous system involvement. For this purpose, brain waves obtained from multiple electrodes placed on the scalp (EEG, Electroencephalogram) are used. Emotiv Epoc used to obtain EEG signals is a low-cost device and has real-time applications. The aim of this study is the detection of rest, imagination and real movement using EEG signals obtained by Emotiv Epoc headset. As a result, As a result, the data obtained from 39 trials from a female subject were classified resting, motion imagination and movement, according to 97.4% accuracy by using the statistical features of distortion, logarithm energy entropy, energy, Shannon entropy and kurtosis. In this study, it has been shown that this system can be remarkably successful for BCI applications.","PeriodicalId":127364,"journal":{"name":"2018 Medical Technologies National Congress (TIPTEKNO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131154839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effect of Blood Viscosity on Pressure and Shear Stress on the Walls of an Artery with Stenosis","authors":"Daver Ali, Selis Önel","doi":"10.1109/TIPTEKNO.2018.8597136","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2018.8597136","url":null,"abstract":"Blood flow dynamics in arteries with stenosis is a critical issue. In this study, the effect of blood viscosity on the pressure and wall shear stress that form on the walls of an artery with a 70% reduced cross-sectional area was investigated using computational fluid dynamics. It was observed that the increase in blood viscosity caused an increase in the pressure and shear stress on the walls of normal arteries and those with stenosis. It has been shown that these parameters increase linearly with increasing blood viscosity in a normal artery and behave nonlinearly along the different regions of an artery with stenosis.","PeriodicalId":127364,"journal":{"name":"2018 Medical Technologies National Congress (TIPTEKNO)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128801872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}