Suat Alaz Demirkanli, Dogukan Kadioglu, B. Tuna, Sinem Etemoglu, B. Kiratli, F. Şahin, F. S. Utku
{"title":"Acquisition of 3D Natural Scaffold by Decellularization","authors":"Suat Alaz Demirkanli, Dogukan Kadioglu, B. Tuna, Sinem Etemoglu, B. Kiratli, F. Şahin, F. S. Utku","doi":"10.1109/BIYOMUT.2017.8479137","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8479137","url":null,"abstract":"Regenerative Medicine and Tissue Engineering has been gaining critical importance in the medical sector, specifically in cancer and organ-tissue losses. Laboratory studies have been conducted on tissue and organ generation using whole organ decellularization and recellularization techniques. In this study, whole rat pancreas has been decellularized by perfusion and imaged using confocal microscopy. Whole rat pancreas tissue has been divided into control and exerimental groups and decellularized using hypotonic, hypertonic and detergent solutions. The tissues, imbedded in Tissue Tech and frozen at -20 , have been prepared as 30 micrometer sections, dyed using DAPI for confocal microscopic imaging of the cell nuclei. It has been demonstrated that the cell nuclei imaged in the control group have been removed as a result of the decellularization process. These findings indicate that the collagenous tissue has been preserved to a large extent. With the imaging of the serial sections, 3D reconstruction of decellularized pancreas can be obtained.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128997116","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":"Intelligent Tourniquet System for Emergency Aid","authors":"Faruk Beytar, E. Budak, Aytekin Ünlu, O. Eroğul","doi":"10.1109/BIYOMUT.2017.8478859","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8478859","url":null,"abstract":"In case of traffic accidents, firearm injuries and explosions, it is necessary to apply a tourniquet in order to survive the injuries of serious extremity injuries and blood loss. There are a few things to consider when applying a tourniquet. If the tourniquet is not tightened enough to stop the blood loss, blood loss continues and the injured person’s life becomes dangerous. If excessive pressure is exerted, and if it is not relaxed and squeezed intermittently, it may cause gangrene in the extremity. The purpose of this study is to develop a pneumatic, intelligent tourniquet system that can successfully stop bleeding by automatically applying the necessary pressure to the proximal limb, where it is injured to stop excessive blood loss in extremity injuries. It is thought that the developed system will be widely used in ambulances, first aid kits for vehicles, emergency services for hospitals, first aid organizations, fire trucks, first aid kits for risky workplaces and many similar civilian areas. As the output of this study; an intelligent tourniquet system prototype has been produced that can be used for arm and leg, inflates with an air motor, has an advanced microcontroller that can manage many parameters, has a GPS module that can access the location of the injured person, has a RTC (Real Time Clock) that can calculate elapsed time since the start of the tourniquet, has a pressure sensor that can gage the tourniquet pressure, can display these information on the OLED screen, direct the user with the necessary instructions to apply the tourniquet correctly, and also send messages to the mobile phone via the GSM module on the collected data.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128545073","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}
S. Uslu, Tunca Nüzket, Guney Zeybek, Mehmet Berke Göztepe, B. Ci̇nemre, Ö. Baysal, M. Canpolat
{"title":"Evaluation of Prefrontal Cortex Hemodynamic Changes with Near Infrared Spectroscopy During Wisconsin Card Sorting Test: A Pilot Study","authors":"S. Uslu, Tunca Nüzket, Guney Zeybek, Mehmet Berke Göztepe, B. Ci̇nemre, Ö. Baysal, M. Canpolat","doi":"10.1109/BIYOMUT.2017.8479104","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8479104","url":null,"abstract":"The monitoring of the cortex during cognitive functions is being investigated by many different disciplines. Recently, functional near-infrared spectroscopy (fNIRS) has been extensively used to study hemodynamic changes in the Prefrontal Cortex (PFC) during cognitive testing, depending on the development of the technology. In this way, various pathologies belonging to the cortex and the limits of healthy activation were evaluated, group differences were investigated and new medical evidences were obtained to be used in clinics.. In the study, a new fNIRS system was designed and a measurement was taken during the Wisconsin Card Sorting Test (WCST) from 12 healthy participants. Areas of the prefrontal cortex were compared based on the hemodynamic change during the active test and it has been shown that the dorsalateral prefrontal cortex(DLPFC) have more activation than the other areas. The result is consistent with other WCST tests in the literature.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128720218","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}
Nurhan Gursel Ozmen, F. V. D. van der Helm, A. Schouten
{"title":"Calculation of Model Parameters by EMG During Dynamic Motion of Human Arm","authors":"Nurhan Gursel Ozmen, F. V. D. van der Helm, A. Schouten","doi":"10.1109/BIYOMUT.2017.8479261","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8479261","url":null,"abstract":"The modeling of the dynamic behavior of the human arm is an important issue in robotics, biomedical and medical fields. In this study, it was aimed to construct an inverse dynamics model for the sequential motion of the arm subjected to external force fluctuations using a two degree of freedom manipulator. In experiments with healthy participants, EMG signals measured from the arm surface during the arm's stationary position task and the planar motion task, and displacements in the x- and yplane of the arm were recorded. In previous studies, the arm admittance was estimated numerically and experimentally for both tasks. To demonstrate the dynamic arm dynamics, the model parameters obtained with the inverse model will be compared with the parameters calculated experimentally and with matrix frequency response method's.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114244545","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}
İ. Çetin, Gorkem Yılmaz, Hande Halilibrahimoglu, Ceyhun E. Kirimli
{"title":"“Do It Yourself” Peristaltic Pump and Flowcell for QCM Biosensor","authors":"İ. Çetin, Gorkem Yılmaz, Hande Halilibrahimoglu, Ceyhun E. Kirimli","doi":"10.1109/BIYOMUT.2017.8479100","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8479100","url":null,"abstract":"The purpose of this study is to design and fabricate a doit- yourself (DIY) peristaltic pump and a flow cell for QCM biosensor. Outcomes of the design process involves, learning how to design 3D objects and how to adjust printing parameters in order to successfully fabricate a peristaltic pump and flow cell. Outcomes of the fabrication process involves learning how to transfer data to and from the embedded system controlling the pump and how to design a user interface running on the computer. The first phase of the project involved the design, where the 3D designing program was used to draw a 3D sketch of the parts; the second phase involved 3D printing and application of functional tests of flow rate and rotation speed. The final phase involved calibration of flow rate and pump parameters for tubings of various inner diameters.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127549986","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":"Fetal Length Calculation Utilizing Edge Detection Method on Raspberry Pi 3","authors":"Gulcicek Dere","doi":"10.1109/BIYOMUT.2017.8479224","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8479224","url":null,"abstract":"Raspberry Pi solutions are made with ARM V6 architecture can be used like a computer. One of these studies is 'edge detection' which is also a feature of the image processing. Analysis of radiological images with edge detection can be done with microprocessor designs as in modern computers. In fetal biometry calculations, it is known that femur length (FL) is the most valid parameter used for fetal age and height measurement. This study is an example of processing with Raspberry Pi 3 using a display method US image and calculating by using image edge detection feature. Fetal length calculation is a method that has been used and developed for many years by means of the formulas developed for length calculation and measuring the femur length. In addition to the computerized applications of the method, fetal lenght calculation via US image was done with only one monitor and Raspberry Pi 3 model B device. Simplecv program is loaded on the Raspberry Pi 3 model B, using the installed Raspbian Jessie operating system. This loading is benefite from the edge detection feature of the program on ImageJ image processing program.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126603008","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}
Gokhan Guney, N. Uluc, A. Demirkiran, E. Aytac-Kipergil, M. B. Unlu, O. Birgul
{"title":"Noise Reduction in Photoacoustic Imaging using Wavelet Transform","authors":"Gokhan Guney, N. Uluc, A. Demirkiran, E. Aytac-Kipergil, M. B. Unlu, O. Birgul","doi":"10.1109/BIYOMUT.2017.8479033","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8479033","url":null,"abstract":"Photoacoustic microscopy (PAM) is a hybrid imaging technique based on the photoacoustic effect and which has begun to develop in recent years. Thanks to the system structure that senses the optical contrast acoustically, it is able to present deep imaging with high resolution beyond the optical diffusion limit. Signals recorded in imaging with the PAM system are exposed to noise by system components and environmental effectcs. In the first stage of the work, a synthetic noise is added at a certain rate on the acoustic signal generated by the solution of the acoustic wave equation. Noisy signals are filtered using discrete wavelet transforms using different main wavelets and noise metrics are calculated on the signals to evaluate the filtering performance. In the second step, the noise metrics are examined on the images by generating the images with the filtered wavelet signals, which are suitable for filtering the PA signals in the direction of the data obtained in the first stage.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130617228","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":"Open Source Coded Pulse Measurement and Recording System","authors":"Batın Demircan, A. Istanbullu","doi":"10.1109/biyomut.2017.8478996","DOIUrl":"https://doi.org/10.1109/biyomut.2017.8478996","url":null,"abstract":"The heart rate measured by the user via the Grove pulse sensor is transferred to the Arduino Uno via the IIC communication protocol channel. The data received by Arduino Uno is accompanied by time-date information from the RTC DS1307 module. The processed data is then recorded to the SDCard on the Ethernet Shield at intervals of 4 seconds using the SPI communication protocol. The recorded data is also sent via serial communication via the HC-06 Bluetooth module and displayed by the \"Arduino Bluetooth Controller\" application in the smartphone.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133264753","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}
Faiz Al-Madani, M. Kassab, Beril Zeynep Sonmez, H. Solmaz
{"title":"Design and Development of a Low-Cost Force Feedback 3D Printed Myoelectric Hand Prosthesis","authors":"Faiz Al-Madani, M. Kassab, Beril Zeynep Sonmez, H. Solmaz","doi":"10.1109/BIYOMUT.2017.8479096","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8479096","url":null,"abstract":"Over the last decades, prosthetics turns to be one of the most important fields in the biomedical technologies. Therefore, designing prosthetic components that can improve patient comfort and mobility has gained importance. The current design consists of an EMG sensor, Arduino Nano, servomotors to provide specific movements and a force sensitive resistor (FSR). The system components were implemented into a 3D printed hand. EMG signals obtained from biceps brachia muscle of the subject by means of surface electrodes are captured via special EMG sensors. The signals are then pre-amplified and filtered. The filtered and amplified signal sent to the Arduino Nano is used for producing mechanical work. The force sensitive resistor was placed on the tip of the index finger of the prosthetic hand as a force feedback system of the prosthetic hand for the control and adjustment of movements.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133477349","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":"Design and Instrumentation of an Opto-digital Confocal Microscope","authors":"Berk Zengin, A. Kurt, Berna Kiraz, A. Kiraz","doi":"10.1109/BIYOMUT.2017.8479073","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8479073","url":null,"abstract":"Confocal microscopy has become a vital technique for life sciences due to higher lateral and axial resolution it provides compared to standard epifluorescence microscopy. On the contrary, accessibility to confocal microscopes did not escalate in proportion to its usage around the globe. Therefore, it was aimed to build an opto-digital confocal microscope, eventually leading to a product which will be affordable for research groups, institutes and hospitals. In this work, we present a home-built confocal microscopy setıp using commercially available equipment. The design of the setup was realized using a 488 nm laser, an inverted microscope and optical/optomechanical parts including mirrors, lenses, beam splitter, scan lens. In addition, X-Y galvo scanner was controlled by using a custom-built control electronics. Instrumentation was made using a National Instruments DAQ card and LabVIEW based software. For characterization purposes reference samples were successfully imaged, following imaging of biological specimen. Gained know-how during development and prototyping will contribute vastly to process of producing a robust, desktop, easy to use and affordable confocal microsocope for researchers and organizations at a diverse scale.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130557303","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}