Pub Date : 2019-11-01DOI: 10.1109/BMEiCON47515.2019.8990277
Saendee Rattanasomrerk, Chavalit Honglertsakul, G. Gesprasert, Nitchan Chantakanakakorn, P. Naiyanetr
Uroflowmetry is one of the most useful tools for patient with lower urinary tract symptoms (LUTS). While there are more and more patients suffered from LUTS, the accessibility of the device is still very low Also stress and unfamiliar environment at physician offices may affects the test result. This study introduces the preliminary system for home-use uroflowmetry with Narrowband Internet of Things (NBIoT) implementation. Patient can get tested from their home and the data will be automatically send to physician’s office. This will help physician to closely monitor his patient symptoms and help with treatment adjustment. The system includes prototype home uroflowmetry device, based on weight transducer method. connected with NB-IoT module, real time clock, SD card for backup memory, the data will send to server using user datagram protocol (UDP). The device user interface designed to be simplest and easy to understand by patient. Physician will access the result from hospital by log in to desktop application that download data from server and process and visualize uroflowmetry test result. This study also includes with preliminary tests of the system among research group members to prototype user experience and system flow.
{"title":"Development of tele-home uroflowmetry system with NB-IoT implementation","authors":"Saendee Rattanasomrerk, Chavalit Honglertsakul, G. Gesprasert, Nitchan Chantakanakakorn, P. Naiyanetr","doi":"10.1109/BMEiCON47515.2019.8990277","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990277","url":null,"abstract":"Uroflowmetry is one of the most useful tools for patient with lower urinary tract symptoms (LUTS). While there are more and more patients suffered from LUTS, the accessibility of the device is still very low Also stress and unfamiliar environment at physician offices may affects the test result. This study introduces the preliminary system for home-use uroflowmetry with Narrowband Internet of Things (NBIoT) implementation. Patient can get tested from their home and the data will be automatically send to physician’s office. This will help physician to closely monitor his patient symptoms and help with treatment adjustment. The system includes prototype home uroflowmetry device, based on weight transducer method. connected with NB-IoT module, real time clock, SD card for backup memory, the data will send to server using user datagram protocol (UDP). The device user interface designed to be simplest and easy to understand by patient. Physician will access the result from hospital by log in to desktop application that download data from server and process and visualize uroflowmetry test result. This study also includes with preliminary tests of the system among research group members to prototype user experience and system flow.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121789127","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 : 2019-11-01DOI: 10.1109/BMEiCON47515.2019.8990262
Premkamol Techasuwanphorn, Songsak Wattanachaisaereekul, Jantakan Jullawateelert, Nongluk Plongthongkum, P. Jangbua, D. Waraho-Zhmayev
Herceptin or trastuzumab (anti-HER2) is a widely used therapeutic antibody to treat breast cancer with 2017 worldwide sales of US$ 7.5 billion. As the patent on Herceptin expired in Europe in July 2014 and in the US in June 2019, its biosimilars developments have been of great interest and some of them have already been approved in many countries. The production of monoclonal antibody is still relied heavily on mammalian cell culture. Nonetheless, for heterologous protein production, Escherichia coli (E. coli) is often considered first if possible as large scale bioprocessing in the bacterial system is simpler and cheaper than the mammalian system. Recently, E. coli strains called SHuffle strains were specifically engineered for expression of multi-disulfide bonded and difficult-to-express proteins. The aim of our study was to investigate the effects of temperature and induction level on full-length trastuzumab production in the cytoplasm of two different types of SHuffle strains at various growth phases in order to identify the suitable conditions. Trastuzumab was produced as ‘cyclonal’ from pMAZ360-cIgG-Herceptin plasmid. Western blot was used to analyze the solubility and relative assembly of full-length trastuzumab produced under each investigated conditions. It was found that the most suitable condition from our study for trastuzumab production in the cytoplasm of the engineered E. coli was the expression at 30°C with 0.1 mM IPTG in SHuffle T7 express, which was developed based on a protease deficient B strain. In the future, these conditions may be used as guidelines for scaling up trastuzumab production in a fermenter for large-scale production.
赫赛汀或曲妥珠单抗(抗her2)是一种广泛用于治疗乳腺癌的治疗性抗体，2017年全球销售额为75亿美元。由于赫赛汀的专利于2014年7月在欧洲到期，于2019年6月在美国到期，其生物仿制药的发展引起了人们的极大兴趣，其中一些已经在许多国家获得批准。单克隆抗体的生产仍然严重依赖于哺乳动物细胞培养。尽管如此，对于异源蛋白的生产，如果可能的话，大肠杆菌(E. coli)通常被首先考虑，因为在细菌系统中进行大规模生物处理比在哺乳动物系统中更简单、更便宜。最近，被称为SHuffle的大肠杆菌菌株被专门用于表达多二硫键结合和难以表达的蛋白质。我们的研究目的是研究温度和诱导水平对两种不同类型SHuffle菌株在不同生长阶段细胞质中全长曲妥珠单抗产生的影响，以确定合适的条件。曲妥珠单抗是由pmaz360 - cigg -赫赛汀质粒“环状”生产的。Western blot分析在每种研究条件下产生的曲妥珠单抗全长的溶解度和相对组装。我们的研究发现，最适合在工程大肠杆菌细胞质中生产曲妥珠单抗的条件是在30°C下用0.1 mM IPTG在SHuffle T7表达中表达，该表达是基于蛋白酶缺陷B菌株开发的。在未来，这些条件可能被用作扩大曲妥珠单抗在发酵罐中大规模生产的指南。
{"title":"Optimization of trastuzumab production in the cytoplasm of the engineered Esherichia coli SHuffle strains","authors":"Premkamol Techasuwanphorn, Songsak Wattanachaisaereekul, Jantakan Jullawateelert, Nongluk Plongthongkum, P. Jangbua, D. Waraho-Zhmayev","doi":"10.1109/BMEiCON47515.2019.8990262","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990262","url":null,"abstract":"Herceptin or trastuzumab (anti-HER2) is a widely used therapeutic antibody to treat breast cancer with 2017 worldwide sales of US$ 7.5 billion. As the patent on Herceptin expired in Europe in July 2014 and in the US in June 2019, its biosimilars developments have been of great interest and some of them have already been approved in many countries. The production of monoclonal antibody is still relied heavily on mammalian cell culture. Nonetheless, for heterologous protein production, Escherichia coli (E. coli) is often considered first if possible as large scale bioprocessing in the bacterial system is simpler and cheaper than the mammalian system. Recently, E. coli strains called SHuffle strains were specifically engineered for expression of multi-disulfide bonded and difficult-to-express proteins. The aim of our study was to investigate the effects of temperature and induction level on full-length trastuzumab production in the cytoplasm of two different types of SHuffle strains at various growth phases in order to identify the suitable conditions. Trastuzumab was produced as ‘cyclonal’ from pMAZ360-cIgG-Herceptin plasmid. Western blot was used to analyze the solubility and relative assembly of full-length trastuzumab produced under each investigated conditions. It was found that the most suitable condition from our study for trastuzumab production in the cytoplasm of the engineered E. coli was the expression at 30°C with 0.1 mM IPTG in SHuffle T7 express, which was developed based on a protease deficient B strain. In the future, these conditions may be used as guidelines for scaling up trastuzumab production in a fermenter for large-scale production.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122743076","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 : 2019-11-01DOI: 10.1109/BMEiCON47515.2019.8990193
Pasin Kuncharin, S. Boonyagul, N. Tanadchangsaeng, T. Tawonsawatruk
Recently, researchers are trying use 3D bioprinting as a key platform to make artificial tendons for being composite with patients' own teared tendon to help their recovery speed. In this work, tendon design and simulation could be processed to investigate the mechanical properties of artificial tendons. It could be fabricated by using Solid Work program which is a software for designing 3D workpieces until we obtained the tendon shape as according to the requirement of hand surgeon which accomplished in all 3 forms. After bringing all 3 artificial tendons to simulation by comparing the mechanical properties, the condition size of 4.0-mm width and 1.0-mm of hole diameter could provide the most suitable mechanical strength for forming the actual tendon prototype. Moreover, we have also successfully fabricated the tendon prototype material using 3D bioprinting with elastomeric polymer.
{"title":"Design Simulation and Fabrication of 3D Bioprinting Artificial Tendon from Elastomer for Soft Tissue Composite","authors":"Pasin Kuncharin, S. Boonyagul, N. Tanadchangsaeng, T. Tawonsawatruk","doi":"10.1109/BMEiCON47515.2019.8990193","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990193","url":null,"abstract":"Recently, researchers are trying use 3D bioprinting as a key platform to make artificial tendons for being composite with patients' own teared tendon to help their recovery speed. In this work, tendon design and simulation could be processed to investigate the mechanical properties of artificial tendons. It could be fabricated by using Solid Work program which is a software for designing 3D workpieces until we obtained the tendon shape as according to the requirement of hand surgeon which accomplished in all 3 forms. After bringing all 3 artificial tendons to simulation by comparing the mechanical properties, the condition size of 4.0-mm width and 1.0-mm of hole diameter could provide the most suitable mechanical strength for forming the actual tendon prototype. Moreover, we have also successfully fabricated the tendon prototype material using 3D bioprinting with elastomeric polymer.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132647398","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 : 2019-11-01DOI: 10.1109/BMEiCON47515.2019.8990272
Chanikan Banchajarurat, Chattapol Rajatavarn, R. Chancharoen, W. Srituravanich, A. Pimpin
The ultimate goal of this project is to implement a low-cost sensor-based approach to detect urine in the elderly's diapers through a wireless system. The sensors are metal electrodes, which simply measure the resistance change when urine exists in the diaper. We focused on the design of electrode sup-porter constructing with 3D printing technique, the electrical signal from electrodes and user’s feedback.
{"title":"Development of Smart Diaper with 3D Printed Sensor-Supporter for Elderly Care","authors":"Chanikan Banchajarurat, Chattapol Rajatavarn, R. Chancharoen, W. Srituravanich, A. Pimpin","doi":"10.1109/BMEiCON47515.2019.8990272","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990272","url":null,"abstract":"The ultimate goal of this project is to implement a low-cost sensor-based approach to detect urine in the elderly's diapers through a wireless system. The sensors are metal electrodes, which simply measure the resistance change when urine exists in the diaper. We focused on the design of electrode sup-porter constructing with 3D printing technique, the electrical signal from electrodes and user’s feedback.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115450288","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 : 2019-11-01DOI: 10.1109/BMEiCON47515.2019.8990206
Kosuke Kanda, Tatsuya Saito, Hidetaka Ushimizu, K. Masuda, S. Enosawa
Because there is a limitation of radiation exposure for a patient, and an X-ray equipment is generally huge and expensive, ultrasound has a potential to replace X-ray image as a monitoring method of catheter located in human body. To realize a diagnosis or a therapy using a catheter under monitoring with ultrasound, the most fundamental problem is visualization of the catheter. The visualization of catheter itself on ultrasound images is strongly affected by the material of catheter and ultrasound parameter. Therefore, we propose a method to detect the tip position of catheter in ultrasound volume by time-series analysis, where microbubbles were released from the tip of the catheter and showed spatial dispersion in ultrasound volume. We confirmed the effectiveness of the algorithm through a phantom experiment and in vivo experiment, where the candidate volume of the tip was determined with the accuracy of several mm.
{"title":"Three-dimensional measurement of tip position of catheter in ultrasound volume through time-series analysis of microbubble dispersion","authors":"Kosuke Kanda, Tatsuya Saito, Hidetaka Ushimizu, K. Masuda, S. Enosawa","doi":"10.1109/BMEiCON47515.2019.8990206","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990206","url":null,"abstract":"Because there is a limitation of radiation exposure for a patient, and an X-ray equipment is generally huge and expensive, ultrasound has a potential to replace X-ray image as a monitoring method of catheter located in human body. To realize a diagnosis or a therapy using a catheter under monitoring with ultrasound, the most fundamental problem is visualization of the catheter. The visualization of catheter itself on ultrasound images is strongly affected by the material of catheter and ultrasound parameter. Therefore, we propose a method to detect the tip position of catheter in ultrasound volume by time-series analysis, where microbubbles were released from the tip of the catheter and showed spatial dispersion in ultrasound volume. We confirmed the effectiveness of the algorithm through a phantom experiment and in vivo experiment, where the candidate volume of the tip was determined with the accuracy of several mm.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125208415","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 : 2019-11-01DOI: 10.1109/BMEiCON47515.2019.8990222
Werawat Chewpanyanun, M. Matsumae, T. Horie, Kuroda Kagayaki
The Heat Transfer Rate (HTR) of tissue is a major problem in controlling the brain tissue temperature under laser therapy to remove a tumor. For the planning, Planning, according to research (7), to set HTR of the brain tissue provides the result of the cerebral blood flow (CBF) by applying the tissue residue curves of dynamic susceptibility in contrast to magnetic resonance imaging (DSC-MRI) with gadolinium (Gd). The research created a map of heat transfer for every temperature level for brain tissue CBF by studying the samples of Glioblastoma and Meningioma tissues in the two HTR diagrams. This research, studied five sample patients by using perfusion of multiple lesions diffuse enhancement (n = 1), irregular enhancement (n = 1), and ring enhancement( n = 3). The perfusion rate from CBF of the samples was compared with the database. The result, of the HTR value HTR, at a brain tissue temperature of 34°C to 43 °C had the same result as from the analysis of the tumor; HTR increases around the rim of the tumor while the value inside is low. Another result was the HTR inside the tumor was high, while the HTR at the rim was low. The HTR data could be used to simulate tissue under the equation of bio-heat transfer.
{"title":"Heat Transfer Rates Mapping in The Brain based on DSC-MRI","authors":"Werawat Chewpanyanun, M. Matsumae, T. Horie, Kuroda Kagayaki","doi":"10.1109/BMEiCON47515.2019.8990222","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990222","url":null,"abstract":"The Heat Transfer Rate (HTR) of tissue is a major problem in controlling the brain tissue temperature under laser therapy to remove a tumor. For the planning, Planning, according to research (7), to set HTR of the brain tissue provides the result of the cerebral blood flow (CBF) by applying the tissue residue curves of dynamic susceptibility in contrast to magnetic resonance imaging (DSC-MRI) with gadolinium (Gd). The research created a map of heat transfer for every temperature level for brain tissue CBF by studying the samples of Glioblastoma and Meningioma tissues in the two HTR diagrams. This research, studied five sample patients by using perfusion of multiple lesions diffuse enhancement (n = 1), irregular enhancement (n = 1), and ring enhancement( n = 3). The perfusion rate from CBF of the samples was compared with the database. The result, of the HTR value HTR, at a brain tissue temperature of 34°C to 43 °C had the same result as from the analysis of the tumor; HTR increases around the rim of the tumor while the value inside is low. Another result was the HTR inside the tumor was high, while the HTR at the rim was low. The HTR data could be used to simulate tissue under the equation of bio-heat transfer.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125346473","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 : 2019-11-01DOI: 10.1109/BMEiCON47515.2019.8990292
T. T. Nguyễn, Juthamas Ratanavaraporn, Supansa Yodmuang
Bioink design is a big challenge in bioprinting of functional tissues. Bioink serves as extracellular matrix providing structural support and guiding growth and development of tissue. Alginate (SA) and silk fibroin (SF) have been used to create hydrogels due to their excellent biocompatibility and biodegradability. In this study, we investigated printability and cell compatibility of alginate-silk fibroin hydrogels for bioprinting. Different concentrations of SA-SF solution were tested for printability by pushing the mixture through needle and syringe. For Cell compatibility study, osteosarcoma were encapsulated in SA-SF hydrogel, determined cell viability using Live/dead and PrestoBlue™ assay. SA-SF hydrogel containing 1%(w/v) sodium alginate and 2% (w/v) silk fibroin successfully formed uniform strands and supported cell viability. The hydrogel was easy to control mechanical properties by adjusting SA and SF concentrations which could be a tool for studies integrity, printability and mass transport of hydrogels. We demonstrated SA-SF hydrogels has great potential as bioink for use in bioprinter.
{"title":"Alginate-silk fibroin Bioink : A printable hydrogel for tissue engineering","authors":"T. T. Nguyễn, Juthamas Ratanavaraporn, Supansa Yodmuang","doi":"10.1109/BMEiCON47515.2019.8990292","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990292","url":null,"abstract":"Bioink design is a big challenge in bioprinting of functional tissues. Bioink serves as extracellular matrix providing structural support and guiding growth and development of tissue. Alginate (SA) and silk fibroin (SF) have been used to create hydrogels due to their excellent biocompatibility and biodegradability. In this study, we investigated printability and cell compatibility of alginate-silk fibroin hydrogels for bioprinting. Different concentrations of SA-SF solution were tested for printability by pushing the mixture through needle and syringe. For Cell compatibility study, osteosarcoma were encapsulated in SA-SF hydrogel, determined cell viability using Live/dead and PrestoBlue™ assay. SA-SF hydrogel containing 1%(w/v) sodium alginate and 2% (w/v) silk fibroin successfully formed uniform strands and supported cell viability. The hydrogel was easy to control mechanical properties by adjusting SA and SF concentrations which could be a tool for studies integrity, printability and mass transport of hydrogels. We demonstrated SA-SF hydrogels has great potential as bioink for use in bioprinter.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129643857","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}
This paper employs different machine learning algorithms to perform a regression study to predict systolic blood pressure (SBP) levels. We used blood pressure dataset of Dr. Raymond Lam, GlaxoSmithKline, Toronto, Ontario, Canada in this study. There are 500 patients in the dataset, 250 have normal blood pressure level and the other 250 have hypertension. There are 500 predictors in the dataset. 17 predictors are patients’ non-genomic information and the rest are 483 genetic markers. In this paper, we have selected only the following 13 factors as predictors in this study to reduce the complexity of the problem. The predictors included in this study are ’gender’, ’married’, ’smoke’, ’exercise level’, ’age’, ’weight’, ’height’, ’alcohol consumption’, ’treatment for hypertension’, ’stress level’, ’salt intake level’, ’income’ and ’education level’. The regression model that gave the lowest root mean square error in SBP of 25.68 for the 13 predictors is Gaussian Process Regression using the squared exponential function in the regression model. Although the RMS value was quite high, it was sufficient to draw some conclusions and identify the factors that do affect the SBP level.
{"title":"Machine Learning to identify factors that affect Human Systolic Blood Pressure","authors":"Suejit Pechprasarn, Chayanisa Sukkasem, Suvicha Sasivimolkul, Phitsini Suvarnaphaet","doi":"10.1109/BMEiCON47515.2019.8990356","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990356","url":null,"abstract":"This paper employs different machine learning algorithms to perform a regression study to predict systolic blood pressure (SBP) levels. We used blood pressure dataset of Dr. Raymond Lam, GlaxoSmithKline, Toronto, Ontario, Canada in this study. There are 500 patients in the dataset, 250 have normal blood pressure level and the other 250 have hypertension. There are 500 predictors in the dataset. 17 predictors are patients’ non-genomic information and the rest are 483 genetic markers. In this paper, we have selected only the following 13 factors as predictors in this study to reduce the complexity of the problem. The predictors included in this study are ’gender’, ’married’, ’smoke’, ’exercise level’, ’age’, ’weight’, ’height’, ’alcohol consumption’, ’treatment for hypertension’, ’stress level’, ’salt intake level’, ’income’ and ’education level’. The regression model that gave the lowest root mean square error in SBP of 25.68 for the 13 predictors is Gaussian Process Regression using the squared exponential function in the regression model. Although the RMS value was quite high, it was sufficient to draw some conclusions and identify the factors that do affect the SBP level.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114746729","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 : 2019-11-01DOI: 10.1109/BMEiCON47515.2019.8990278
A. Sanpanich, P. Techaikool, Y. Kajornpredanon, W. Sroykham, K. Petsarb, C. Phairoh, W. Angkhananuwat
Artificial ventilation by using an automatic ventilator is a standard treatment for a patient who has an abnormality in his respiratory system or his own spontaneous breathing is not enough to maintain an oxygenation in a safety level. It functions to supply an amount of airflow into the lungs during an inspiration and remove air out from the lungs during an expiration phase. Ventilator itself is quite complicated in parameter setting, using or even though understanding all display ventilation waveform. Beginner always need a lot of time to practice and familiar with this sophisticated equipment especially in ICU ward. In this paper, we present a simplified ventilator model by using an effective simulation tools in order to use as a simple tool in a routine ventilation parameter study. Ventilator input parameters of volume control ventilation mode (VCV) with pause time setting are the main input setting of our model. We also intend to focus on lung compliance and an airway resistance setting in our test lung module in order to test and verify the performance of our ventilator model in case of patient pathology change to better or worse (0.5C, 2R) which commonly found in ICU patient. As a preliminary, all main ventilation waveforms (Paw, VT, $dot V$) obtain from this modified model show an effective response to any variation in compliance and resistance and able to use as a routine practice for new practitioner. For further study, another basic ventilation mode and setting as PCV, IMV, PEEP even patient triggering setting will be added in the future.
{"title":"A simulation of ventilator performance testing for ventilation waveform understanding","authors":"A. Sanpanich, P. Techaikool, Y. Kajornpredanon, W. Sroykham, K. Petsarb, C. Phairoh, W. Angkhananuwat","doi":"10.1109/BMEiCON47515.2019.8990278","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990278","url":null,"abstract":"Artificial ventilation by using an automatic ventilator is a standard treatment for a patient who has an abnormality in his respiratory system or his own spontaneous breathing is not enough to maintain an oxygenation in a safety level. It functions to supply an amount of airflow into the lungs during an inspiration and remove air out from the lungs during an expiration phase. Ventilator itself is quite complicated in parameter setting, using or even though understanding all display ventilation waveform. Beginner always need a lot of time to practice and familiar with this sophisticated equipment especially in ICU ward. In this paper, we present a simplified ventilator model by using an effective simulation tools in order to use as a simple tool in a routine ventilation parameter study. Ventilator input parameters of volume control ventilation mode (VCV) with pause time setting are the main input setting of our model. We also intend to focus on lung compliance and an airway resistance setting in our test lung module in order to test and verify the performance of our ventilator model in case of patient pathology change to better or worse (0.5C, 2R) which commonly found in ICU patient. As a preliminary, all main ventilation waveforms (Paw, VT, $dot V$) obtain from this modified model show an effective response to any variation in compliance and resistance and able to use as a routine practice for new practitioner. For further study, another basic ventilation mode and setting as PCV, IMV, PEEP even patient triggering setting will be added in the future.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126504036","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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