Pub Date : 2018-11-01DOI: 10.1109/BMEICON.2018.8609926
Tanapon Keatsamarn, C. Pintavirooj
Human footprint is the biometric system of the individual person. Everyone has specific footprints. It can be used instead of password-based authentication in the security system such as a user authentication for the financial transaction. The password-based system cannot verify that the person who entered the password is valid or not. Therefore the biometric system is more secure than the password-based system. For that reason, it’s interesting to use footprint image in the creating of the footprint-based identification system. In this paper, the convolutional neural network training is used for deep learning classification. Convolutional neural networks are essential for deep learning and suited for image recognition.
{"title":"Footprint Identification using Deep Learning","authors":"Tanapon Keatsamarn, C. Pintavirooj","doi":"10.1109/BMEICON.2018.8609926","DOIUrl":"https://doi.org/10.1109/BMEICON.2018.8609926","url":null,"abstract":"Human footprint is the biometric system of the individual person. Everyone has specific footprints. It can be used instead of password-based authentication in the security system such as a user authentication for the financial transaction. The password-based system cannot verify that the person who entered the password is valid or not. Therefore the biometric system is more secure than the password-based system. For that reason, it’s interesting to use footprint image in the creating of the footprint-based identification system. In this paper, the convolutional neural network training is used for deep learning classification. Convolutional neural networks are essential for deep learning and suited for image recognition.","PeriodicalId":232271,"journal":{"name":"2018 11th Biomedical Engineering International Conference (BMEiCON)","volume":"4 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":"130550247","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}
Pub Date : 2018-11-01DOI: 10.1109/BMEICON.2018.8609967
Thammawit Suwannaphan, A. Pimpin, W. Srituravanich, A. Sailasuta, Theerayuth Kaewamatawomg, W. Jeamsaksiri, W. Sripumkhai, P. Piyaviriyakul, S. Bhanpattanakul
Recently, a spiral microchannel has been receiving remarkable attentions in a field of biology for cell separation. Because it could separate different sizes of cells and has potential to integrate together with other components for a biological study of a single cell. However, hydrodynamic forces in spiral section and other components could potentially cause cell to death and change in cell physical and biological properties, but there was rarely such study so far. Therefore, the investigation of cell viability in a setup of spiral microchannel including feeding system and spiral microchannel was performed in this work. Beside the cell viability investigation, the change in cell morphology and intracellular structures were also investigated. The results indicated that stresses—extensional and shear stresses might be the important factors affecting cell death. The significant loss of cell viability was not found in feeding system but 15–18% of cell loss occurred in a spiral microchannel instead.
{"title":"Investigation of Leukocyte Viability in A Setup of Spiral Microchannel for Cell Sorting Application","authors":"Thammawit Suwannaphan, A. Pimpin, W. Srituravanich, A. Sailasuta, Theerayuth Kaewamatawomg, W. Jeamsaksiri, W. Sripumkhai, P. Piyaviriyakul, S. Bhanpattanakul","doi":"10.1109/BMEICON.2018.8609967","DOIUrl":"https://doi.org/10.1109/BMEICON.2018.8609967","url":null,"abstract":"Recently, a spiral microchannel has been receiving remarkable attentions in a field of biology for cell separation. Because it could separate different sizes of cells and has potential to integrate together with other components for a biological study of a single cell. However, hydrodynamic forces in spiral section and other components could potentially cause cell to death and change in cell physical and biological properties, but there was rarely such study so far. Therefore, the investigation of cell viability in a setup of spiral microchannel including feeding system and spiral microchannel was performed in this work. Beside the cell viability investigation, the change in cell morphology and intracellular structures were also investigated. The results indicated that stresses—extensional and shear stresses might be the important factors affecting cell death. The significant loss of cell viability was not found in feeding system but 15–18% of cell loss occurred in a spiral microchannel instead.","PeriodicalId":232271,"journal":{"name":"2018 11th Biomedical Engineering International Conference (BMEiCON)","volume":"7 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":"134044418","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}
Pub Date : 2018-11-01DOI: 10.1109/BMEICON.2018.8609923
Y. Kawagoe, Tomoko Kajiwara, Michihiko Fukunaga
The objective of this study is to analyze statics and kinematics of artificial knee joint at deep flexion to compared the difference between cruciate retaining (CR) type and posterior stabilized (PS) type. We performed a 3D model analysis with conditions of point contact and force/moment equilibrium. The motion to be subjected was passive knee flexion at the flexion angle from 30° to 150°. As a result, patellofemoral and tibiofemoral forces of PS type were smaller than CR type. Besides, with CR type, femoral rollback and tibial internal rotation were observed when the posterior cruciate ligament (PCL) stiffness was large, which are usually observed the physiological knee kinematics. It indicated that CR type can not reproduce such physiological motion without enough PCL. With PS type, femoral rollback was larger than CR type and it obtained wide range of motion. However, femur did not roll back over 90° of flexion angle. Moreover, contact force on post and cam increased much during deep knee flexion. If the PCL stiff enough, we should use the CR type. For PS type, it is necessary to design with consideration for acquiring femoral rollback and preventing breakage in the deep flex region.
{"title":"Model Analysis of Artificial Knee Joint : Comparison of Cruciate Retaining Type and Posterior Stabilized Type","authors":"Y. Kawagoe, Tomoko Kajiwara, Michihiko Fukunaga","doi":"10.1109/BMEICON.2018.8609923","DOIUrl":"https://doi.org/10.1109/BMEICON.2018.8609923","url":null,"abstract":"The objective of this study is to analyze statics and kinematics of artificial knee joint at deep flexion to compared the difference between cruciate retaining (CR) type and posterior stabilized (PS) type. We performed a 3D model analysis with conditions of point contact and force/moment equilibrium. The motion to be subjected was passive knee flexion at the flexion angle from 30° to 150°. As a result, patellofemoral and tibiofemoral forces of PS type were smaller than CR type. Besides, with CR type, femoral rollback and tibial internal rotation were observed when the posterior cruciate ligament (PCL) stiffness was large, which are usually observed the physiological knee kinematics. It indicated that CR type can not reproduce such physiological motion without enough PCL. With PS type, femoral rollback was larger than CR type and it obtained wide range of motion. However, femur did not roll back over 90° of flexion angle. Moreover, contact force on post and cam increased much during deep knee flexion. If the PCL stiff enough, we should use the CR type. For PS type, it is necessary to design with consideration for acquiring femoral rollback and preventing breakage in the deep flex region.","PeriodicalId":232271,"journal":{"name":"2018 11th Biomedical Engineering International Conference (BMEiCON)","volume":"92 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":"131025473","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}
Pub Date : 2018-11-01DOI: 10.1109/BMEICON.2018.8609973
Nutthanan Wanluk, C. Pintavirooj, T. Treebupachatsakul
Medical device calibration is the process of ensuring that there is accuracy before using. X-ray imaging device is one of the high-risk medical devices that must be calibrated. The calibration process required these values to be measured; center ray, focal object distance (FOD), resolution, and linearity of the imaging system. But the devices used to measure each of these are expensive. In this paper, a design of the x-ray calibration phantom that is affordable and yet effective is presented. An aluminum rectangular phantom consists of a center ray calibration unit, focal object distance (FOD) calibration unit and Linearity calibration unit. The x-ray image of all the phantom unit can be analyzed automatically by using the digital image processing.
{"title":"Image Processing for X-ray Calibration Phantom","authors":"Nutthanan Wanluk, C. Pintavirooj, T. Treebupachatsakul","doi":"10.1109/BMEICON.2018.8609973","DOIUrl":"https://doi.org/10.1109/BMEICON.2018.8609973","url":null,"abstract":"Medical device calibration is the process of ensuring that there is accuracy before using. X-ray imaging device is one of the high-risk medical devices that must be calibrated. The calibration process required these values to be measured; center ray, focal object distance (FOD), resolution, and linearity of the imaging system. But the devices used to measure each of these are expensive. In this paper, a design of the x-ray calibration phantom that is affordable and yet effective is presented. An aluminum rectangular phantom consists of a center ray calibration unit, focal object distance (FOD) calibration unit and Linearity calibration unit. The x-ray image of all the phantom unit can be analyzed automatically by using the digital image processing.","PeriodicalId":232271,"journal":{"name":"2018 11th Biomedical Engineering International Conference (BMEiCON)","volume":"221 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":"116461970","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}
Pub Date : 2018-11-01DOI: 10.1109/BMEICON.2018.8609957
S. Triviwatwong, A. Wongkamhamg, S. Boonyagun
Nowadays, the renal biopsy needles which used in Thailand have been imported from aboard. They are variety of brands, qualities and wide ranges of prices. Among the needles which are available in market, the biggest problem is renal needle effectiveness which affects to the volume of kidney for pathologic investigation. However, the use of biopsy needles depends on the satisfication of users which never been quantitatively identified. In this work, we performed the experiment to investigate the efficiency of biopsy needles, which focused on the Automatic and Disposable type from 5 brands (No.1 to No. 5). The tests were evaluated by 2 experiments; 1. The test of spring’s compressions with different compressive distances (10 mm., 15 mm. and 20 mm., respectively) and 2. The test of kidney volume was performed by punching the biopsy needle in porcine kidney with different angles of 15°, 30°, 45°, 60° and 75°, respectively. From the results of the spring’s compression, the needle No. 3, 5, 2, 1 and 4, respectively consumed the minimum to maximum forces in both parts of needle (cutter part and puncher part) at the maximum distance of 20 mm. The results from renal tissue volume test exhibited that at angle of 30° and 60° had constant volume of kidney, approximately 10 mm3, in each biopsy which is enough for volumic and pathologic conditions for pathology examination. In conclusion, results from the tests show that the 5 brands of biopsy needles have different technical design which affect to their effectiveness. However, they are still having the same general characteristic such as size and dimension which reported in the industrial standards.
{"title":"The Comparison of The Biopsy Needles Efficiency","authors":"S. Triviwatwong, A. Wongkamhamg, S. Boonyagun","doi":"10.1109/BMEICON.2018.8609957","DOIUrl":"https://doi.org/10.1109/BMEICON.2018.8609957","url":null,"abstract":"Nowadays, the renal biopsy needles which used in Thailand have been imported from aboard. They are variety of brands, qualities and wide ranges of prices. Among the needles which are available in market, the biggest problem is renal needle effectiveness which affects to the volume of kidney for pathologic investigation. However, the use of biopsy needles depends on the satisfication of users which never been quantitatively identified. In this work, we performed the experiment to investigate the efficiency of biopsy needles, which focused on the Automatic and Disposable type from 5 brands (No.1 to No. 5). The tests were evaluated by 2 experiments; 1. The test of spring’s compressions with different compressive distances (10 mm., 15 mm. and 20 mm., respectively) and 2. The test of kidney volume was performed by punching the biopsy needle in porcine kidney with different angles of 15°, 30°, 45°, 60° and 75°, respectively. From the results of the spring’s compression, the needle No. 3, 5, 2, 1 and 4, respectively consumed the minimum to maximum forces in both parts of needle (cutter part and puncher part) at the maximum distance of 20 mm. The results from renal tissue volume test exhibited that at angle of 30° and 60° had constant volume of kidney, approximately 10 mm3, in each biopsy which is enough for volumic and pathologic conditions for pathology examination. In conclusion, results from the tests show that the 5 brands of biopsy needles have different technical design which affect to their effectiveness. However, they are still having the same general characteristic such as size and dimension which reported in the industrial standards.","PeriodicalId":232271,"journal":{"name":"2018 11th Biomedical Engineering International Conference (BMEiCON)","volume":"74 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":"132238604","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}
Pub Date : 2018-11-01DOI: 10.1109/BMEICON.2018.8609920
M. Daoud, Ahmad Shtaiyat, R. Alazrai
Ultrasound imaging provides a low cost and noninvasive imaging modality to improve the safety and success rate of needle-based interventions by guiding the needle towards the target anatomy. Nevertheless, the limited needle visibility in conventional brightness mode (B-mode) ultrasound images might degrade the capability of achieving accurate localization of the needle axis and tip. In this paper, a computer-based method is introduced to enable accurate needle detection in ultrasound images. In this method, the needle is excited using a voice actuator to generate low-amplitude acoustic waves that propagate through the needle. The excited needle is scanned using ultrasound imaging to acquire a power Doppler ultrasound image and a B-mode ultrasound image. The power Doppler image is processed using thresholding and Radon transform analyses to obtain approximate estimation of the needle axis and identify a region of interest (ROI) that includes the vibrating needle. Moreover, accurate estimation of the needle axis is achieved by analyzing the ROI that includes the needle in the B-mode image using a thresholding procedure combined with a customized Radon transform. Finally, the location of the needle tip is identified by applying an iterative sliding window approach to the B-mode image to quantify the pixel intensities around the estimated needle axis. The accuracy of the proposed method is evaluated by applying the method to detect the axes and tips of eight needles inserted in ex vivo bovine muscle tissue specimens and imaged using linear and curvilinear ultrasound transducers. The results show that the proposed method was able to detect the axes and tips of the inserted needles with error values within the ranges of 0.3° to 1.0° and 0.2 mm to 1.0 mm, respectively. These results suggest the potential of applying the proposed method to enhance the localization of the needle during ultrasound-guided needle-based interventions.
超声成像提供了一种低成本、无创的成像方式，通过引导针头指向目标解剖结构，提高针基干预的安全性和成功率。然而，在常规亮度模式(b模式)超声图像中，有限的针头可见性可能会降低实现针轴和针尖精确定位的能力。本文介绍了一种基于计算机的方法来实现超声图像中针的精确检测。在这种方法中，使用声音致动器激发针头以产生通过针头传播的低振幅声波。利用超声成像技术对受激针进行扫描，获得功率多普勒超声图像和b超图像。利用阈值分割和Radon变换分析对功率多普勒图像进行处理，得到针轴的近似估计，并确定包括振动针在内的感兴趣区域(ROI)。此外，通过使用阈值化程序结合自定义Radon变换分析b模式图像中包含针的ROI，实现了针轴的准确估计。最后，通过对b模式图像应用迭代滑动窗口方法来确定针尖的位置，以量化估计的针轴周围的像素强度。利用线性和曲线超声换能器对牛离体肌肉组织标本中插入的8根针的轴和尖端进行检测，评估了该方法的准确性。结果表明，该方法能够检测出插针的轴线和针尖，误差范围分别为0.3°~ 1.0°和0.2 mm ~ 1.0 mm。这些结果表明，在超声引导的针基干预中，应用所提出的方法来增强针的定位是有潜力的。
{"title":"Enhanced Needle Detection in Ultrasound Images using Acoustic Excitation and Ultrasound Image Analyses","authors":"M. Daoud, Ahmad Shtaiyat, R. Alazrai","doi":"10.1109/BMEICON.2018.8609920","DOIUrl":"https://doi.org/10.1109/BMEICON.2018.8609920","url":null,"abstract":"Ultrasound imaging provides a low cost and noninvasive imaging modality to improve the safety and success rate of needle-based interventions by guiding the needle towards the target anatomy. Nevertheless, the limited needle visibility in conventional brightness mode (B-mode) ultrasound images might degrade the capability of achieving accurate localization of the needle axis and tip. In this paper, a computer-based method is introduced to enable accurate needle detection in ultrasound images. In this method, the needle is excited using a voice actuator to generate low-amplitude acoustic waves that propagate through the needle. The excited needle is scanned using ultrasound imaging to acquire a power Doppler ultrasound image and a B-mode ultrasound image. The power Doppler image is processed using thresholding and Radon transform analyses to obtain approximate estimation of the needle axis and identify a region of interest (ROI) that includes the vibrating needle. Moreover, accurate estimation of the needle axis is achieved by analyzing the ROI that includes the needle in the B-mode image using a thresholding procedure combined with a customized Radon transform. Finally, the location of the needle tip is identified by applying an iterative sliding window approach to the B-mode image to quantify the pixel intensities around the estimated needle axis. The accuracy of the proposed method is evaluated by applying the method to detect the axes and tips of eight needles inserted in ex vivo bovine muscle tissue specimens and imaged using linear and curvilinear ultrasound transducers. The results show that the proposed method was able to detect the axes and tips of the inserted needles with error values within the ranges of 0.3° to 1.0° and 0.2 mm to 1.0 mm, respectively. These results suggest the potential of applying the proposed method to enhance the localization of the needle during ultrasound-guided needle-based interventions.","PeriodicalId":232271,"journal":{"name":"2018 11th Biomedical Engineering International Conference (BMEiCON)","volume":"4 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":"127859724","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}
Pub Date : 2018-11-01DOI: 10.1109/BMEICON.2018.8609977
Manao Bunkum, C. Pintavirooj, S. Visitsattapongse
X-ray machine is used to create an image of diagnosing or treatment by using X-ray beam. X-ray beams are harmful to the body’s cells when the radiation dose is high enough. Therefore, the X-ray machine must always be calibrated or test to ensure that the X-ray machine is accurate to keep users safe. In this research presents the design and construction of x-ray testing device. It will focus on measuring the two main parameters of the x-ray machine. Measurement of exposure time (x-ray emission time) and measurements of peak kilovoltage from the x-ray tube. This device has 2 parts, hardware and software. The hardware is the circuit consist of intensifying screen for a radiation receiver and converted energy from x-ray into light energy. The wavelength of the light emitted is in the range of 500–600 nm, then use a circuit of photodiode. It is a semiconductor device that converts light into an electric current. The electric current is a full-wave rectification waveform corresponding to the 100 Hz high voltage supply of the x-ray tube. Take the signal from the electric current to filter circuit for reducing noise. And then take the signal to the microcontroller (Arduino). Arduino is used for taking the signal to process in Visual Studio program to measure exposure time and peak kilovoltage of x-ray, which can be measured and processed immediately. The waveform is digitized, and peak detected with Arduino. The number of peaks is then converted to exposure time, i.e. one peak corresponds to 10 milliseconds. The result, exposure time and peak kilovoltage of x-ray, will show on window form application in Visual Studio program.
{"title":"Indirect Measure Voltage and Exposure Time Device for Medical X-ray","authors":"Manao Bunkum, C. Pintavirooj, S. Visitsattapongse","doi":"10.1109/BMEICON.2018.8609977","DOIUrl":"https://doi.org/10.1109/BMEICON.2018.8609977","url":null,"abstract":"X-ray machine is used to create an image of diagnosing or treatment by using X-ray beam. X-ray beams are harmful to the body’s cells when the radiation dose is high enough. Therefore, the X-ray machine must always be calibrated or test to ensure that the X-ray machine is accurate to keep users safe. In this research presents the design and construction of x-ray testing device. It will focus on measuring the two main parameters of the x-ray machine. Measurement of exposure time (x-ray emission time) and measurements of peak kilovoltage from the x-ray tube. This device has 2 parts, hardware and software. The hardware is the circuit consist of intensifying screen for a radiation receiver and converted energy from x-ray into light energy. The wavelength of the light emitted is in the range of 500–600 nm, then use a circuit of photodiode. It is a semiconductor device that converts light into an electric current. The electric current is a full-wave rectification waveform corresponding to the 100 Hz high voltage supply of the x-ray tube. Take the signal from the electric current to filter circuit for reducing noise. And then take the signal to the microcontroller (Arduino). Arduino is used for taking the signal to process in Visual Studio program to measure exposure time and peak kilovoltage of x-ray, which can be measured and processed immediately. The waveform is digitized, and peak detected with Arduino. The number of peaks is then converted to exposure time, i.e. one peak corresponds to 10 milliseconds. The result, exposure time and peak kilovoltage of x-ray, will show on window form application in Visual Studio program.","PeriodicalId":232271,"journal":{"name":"2018 11th Biomedical Engineering International Conference (BMEiCON)","volume":"28 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":"126152608","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}
Pub Date : 2018-11-01DOI: 10.1109/BMEICON.2018.8609953
Chitsanupong Rungsirikunnan, Kamonwan Mondee, G. Gesprasert, P. Naiyanetr
Rotary blood pumps were used widely for medical treatment. Ventricular assist device (VAD) is one of the devices which based on rotary blood pump technology. Bridge to recovery (BTR) process is one of the treatment methods. VAD normally generate continuous blood flow. Latest report said that the pulsatile flow is better in blood vessel properties maintaining. However, VAD should not generated high shear stress that will cause the thrombosis. The objective of this study is to compare the hemolysis occur in rotary blood pump during constant speed and pulsatile speed. This study uses MOCK Circulation Loop to simulate the body circulatory system. The continuous flow and pulsatile flow will be compared. The rotary blood pump will be run at 1500 rpm constant speed and 1250–1750rpm, 1000–2000 rpm pulsatile speed at 60 beat per minute. The system was operated for 6 hours. The blood was obtained 1.5 milliliter from the loop every hour. The modified index of hemolysis (MIH) and plasma-free hemoglobin of each speed conditions were compared. The result shown that plasma-free hemoglobin levels in all speed condition increased with the duration of experiment. The MIH shown non significantly difference when the amplitude of pulsatile speed was increase. This experiment was preliminary study. In future work, the computational fluid dynamic software will use to simulated the phenomena inside the rotary blood pump and used for experiment compared.
{"title":"Investigation of Blood Hemolysis Study in Rotary Blood Pump between Continuous Flow and Pulsatile Flow","authors":"Chitsanupong Rungsirikunnan, Kamonwan Mondee, G. Gesprasert, P. Naiyanetr","doi":"10.1109/BMEICON.2018.8609953","DOIUrl":"https://doi.org/10.1109/BMEICON.2018.8609953","url":null,"abstract":"Rotary blood pumps were used widely for medical treatment. Ventricular assist device (VAD) is one of the devices which based on rotary blood pump technology. Bridge to recovery (BTR) process is one of the treatment methods. VAD normally generate continuous blood flow. Latest report said that the pulsatile flow is better in blood vessel properties maintaining. However, VAD should not generated high shear stress that will cause the thrombosis. The objective of this study is to compare the hemolysis occur in rotary blood pump during constant speed and pulsatile speed. This study uses MOCK Circulation Loop to simulate the body circulatory system. The continuous flow and pulsatile flow will be compared. The rotary blood pump will be run at 1500 rpm constant speed and 1250–1750rpm, 1000–2000 rpm pulsatile speed at 60 beat per minute. The system was operated for 6 hours. The blood was obtained 1.5 milliliter from the loop every hour. The modified index of hemolysis (MIH) and plasma-free hemoglobin of each speed conditions were compared. The result shown that plasma-free hemoglobin levels in all speed condition increased with the duration of experiment. The MIH shown non significantly difference when the amplitude of pulsatile speed was increase. This experiment was preliminary study. In future work, the computational fluid dynamic software will use to simulated the phenomena inside the rotary blood pump and used for experiment compared.","PeriodicalId":232271,"journal":{"name":"2018 11th Biomedical Engineering International Conference (BMEiCON)","volume":"73 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114040118","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}
Pub Date : 2018-08-31DOI: 10.1109/BMEICON.2018.8609997
Worawate Ausawalaithong, S. Marukatat, Arjaree Thirach, Theerawit Wilaiprasitporn
Since, cancer is curable when diagnosed at an early stage, lung cancer screening plays an important role in preventive care. Although both low dose computed tomography (LDCT) and computed tomography (CT) scans provide greater medical information than normal chest x-rays, access to these technologies in rural areas is very limited. There is a recent trend toward using computer-aided diagnosis (CADx) to assist in the screening and diagnosis of cancer from biomedical images. In this study, the 121-layer convolutional neural network, also known as DenseNet-121 by G. Huang et. al., along with the transfer learning scheme is explored as a means of classifying lung cancer using chest x-ray images. The model was trained on a lung nodule dataset before training on the lung cancer dataset to alleviate the problem of using a small dataset. The proposed model yields 74.43±6.01% of mean accuracy, 74.96±9.85% of mean specificity, and 74.68±15.33% of mean sensitivity. The proposed model also provides a heatmap for identifying the location of the lung nodule. These findings are promising for further development of chest x-ray-based lung cancer diagnosis using the deep learning approach. Moreover, they solve the problem of a small dataset.
{"title":"Automatic Lung Cancer Prediction from Chest X-ray Images Using the Deep Learning Approach","authors":"Worawate Ausawalaithong, S. Marukatat, Arjaree Thirach, Theerawit Wilaiprasitporn","doi":"10.1109/BMEICON.2018.8609997","DOIUrl":"https://doi.org/10.1109/BMEICON.2018.8609997","url":null,"abstract":"Since, cancer is curable when diagnosed at an early stage, lung cancer screening plays an important role in preventive care. Although both low dose computed tomography (LDCT) and computed tomography (CT) scans provide greater medical information than normal chest x-rays, access to these technologies in rural areas is very limited. There is a recent trend toward using computer-aided diagnosis (CADx) to assist in the screening and diagnosis of cancer from biomedical images. In this study, the 121-layer convolutional neural network, also known as DenseNet-121 by G. Huang et. al., along with the transfer learning scheme is explored as a means of classifying lung cancer using chest x-ray images. The model was trained on a lung nodule dataset before training on the lung cancer dataset to alleviate the problem of using a small dataset. The proposed model yields 74.43±6.01% of mean accuracy, 74.96±9.85% of mean specificity, and 74.68±15.33% of mean sensitivity. The proposed model also provides a heatmap for identifying the location of the lung nodule. These findings are promising for further development of chest x-ray-based lung cancer diagnosis using the deep learning approach. Moreover, they solve the problem of a small dataset.","PeriodicalId":232271,"journal":{"name":"2018 11th Biomedical Engineering International Conference (BMEiCON)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123541843","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}
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