Pub Date : 2019-11-01DOI: 10.1109/BMEiCON47515.2019.8990286
Yingyot Poo-arpom, S. Pakapongpan, Pitirat Pholpabu, Rungtiva P. Poo-arpom
This research work reported a highly selective and stable chloramphenicol sensor based on cyclic voltammetry. The sensor was fabricated using graphene-iron oxide nanoparticles modified on a magnetic screen-printed electrode (MSPE). The nanocomposite has remarkable enhancement in large surface areas, facilitates electron transfer to electrode surfaces, and possesses superparamagnetism property. The electrochemical properties were characterized by cyclic voltammetry (CV). The modified electrode provided a fast electron transfer with an apparent electron transfer rate constant (ks) of 0.88 s−1. The proposed biosensor showed fast CV response (3 s) to chloramphenicol with a wide linear range from 0.05 to 0.5 mM, a low detection limit of 17 μM at a signal to noise ratio of 3 (S/N=3), and good sensitivity (22.788 μA/μM). The resulted biosensor also showed high stability and good reproducibility.
本研究报道了一种基于循环伏安法的高选择性、稳定的氯霉素传感器。该传感器是用石墨烯-氧化铁纳米颗粒在磁丝网印刷电极(MSPE)上修饰而成的。该纳米复合材料在大表面积上具有显著的增强作用，有利于电子向电极表面转移，并具有超顺磁性。采用循环伏安法(CV)对其电化学性能进行了表征。修饰电极的电子转移速度快，表观电子转移速率常数(ks)为0.88 s−1。该传感器在0.05 ~ 0.5 mM范围内具有较宽的线性范围，CV响应速度快(3 s)，信噪比为3 (s /N=3)时检测限低至17 μM，灵敏度为22.788 μA/μM。所制备的生物传感器稳定性高，重现性好。
{"title":"Voltammetry based disposable sensor for antibiotic contamination in food","authors":"Yingyot Poo-arpom, S. Pakapongpan, Pitirat Pholpabu, Rungtiva P. Poo-arpom","doi":"10.1109/BMEiCON47515.2019.8990286","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990286","url":null,"abstract":"This research work reported a highly selective and stable chloramphenicol sensor based on cyclic voltammetry. The sensor was fabricated using graphene-iron oxide nanoparticles modified on a magnetic screen-printed electrode (MSPE). The nanocomposite has remarkable enhancement in large surface areas, facilitates electron transfer to electrode surfaces, and possesses superparamagnetism property. The electrochemical properties were characterized by cyclic voltammetry (CV). The modified electrode provided a fast electron transfer with an apparent electron transfer rate constant (ks) of 0.88 s−1. The proposed biosensor showed fast CV response (3 s) to chloramphenicol with a wide linear range from 0.05 to 0.5 mM, a low detection limit of 17 μM at a signal to noise ratio of 3 (S/N=3), and good sensitivity (22.788 μA/μM). The resulted biosensor also showed high stability and good reproducibility.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"46 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":"127531040","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/BMEiCON47515.2019.8990188
Teerasak Wongkedsada, P. Phasukkit
In our country, many people need appropriate treatment from hepatic cancer. Most of them still get the traditional method treatment which is high cost and too risky. Microwave ablation treatment is used microwave heat to eliminate cancer which is one of the other choices. However, it still needs to limit the area of heat dissipation. To prevent microwave heat destroy other organs. So, this research intends to present the analysis of double antenna variable setting and microwave system designing for appropriated heat to eliminate hepatic cancer by 3D finite element analysis in vitro experiment pattern. In the experiment, the open-tip antennas will be used and placed in parallel. The experiment will study the appropriate determination of each antenna switching time and power transmitting value. Moreover, there is an experiment with other two different types of antenna, slot, and slot with insulating jacket. The result shows that double antennas with different operating time and power cause heat to destroy hepatic cancer cells which can determine the size and has a geometric shape as desired. This technology can be applied to the treatment of hepatic cancer that has an asymmetrical shape.
{"title":"Microwave Ablation Multi-Antennas Operation studying for Hepatic Cancer Microwave Ablation Treatment system using 3D-Finite Element Analysis","authors":"Teerasak Wongkedsada, P. Phasukkit","doi":"10.1109/BMEiCON47515.2019.8990188","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990188","url":null,"abstract":"In our country, many people need appropriate treatment from hepatic cancer. Most of them still get the traditional method treatment which is high cost and too risky. Microwave ablation treatment is used microwave heat to eliminate cancer which is one of the other choices. However, it still needs to limit the area of heat dissipation. To prevent microwave heat destroy other organs. So, this research intends to present the analysis of double antenna variable setting and microwave system designing for appropriated heat to eliminate hepatic cancer by 3D finite element analysis in vitro experiment pattern. In the experiment, the open-tip antennas will be used and placed in parallel. The experiment will study the appropriate determination of each antenna switching time and power transmitting value. Moreover, there is an experiment with other two different types of antenna, slot, and slot with insulating jacket. The result shows that double antennas with different operating time and power cause heat to destroy hepatic cancer cells which can determine the size and has a geometric shape as desired. This technology can be applied to the treatment of hepatic cancer that has an asymmetrical shape.","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":"129913878","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/BMEiCON47515.2019.8990301
Kan Throngnumchai, Pitchayakorn Lomvisai, Chayanan Tantasirin, P. Phasukkit
White blood cells are the one of immune system that are involved in protecting the body against infection disease and foreign invaders. There are difference category of white blood cell and each category can indicate about the irregularity of body. Nowadays, White blood cell diagnosis is usually examined manually by doctor. This process consumes a lot time, cost and susceptible to error compare with automatic computerize process. An automatic classification technique for microscopic white blood cell images focusing on images from fresh blood smears[1] is proposed in this paper. The classification is conducted using a proposed method that consist of deep convolutional neural network (DCNN). 10,000 Microscopic blood images were tested and the classification method obtain 93%
{"title":"Classification of White blood cell using Deep Convolutional Neural Network","authors":"Kan Throngnumchai, Pitchayakorn Lomvisai, Chayanan Tantasirin, P. Phasukkit","doi":"10.1109/BMEiCON47515.2019.8990301","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990301","url":null,"abstract":"White blood cells are the one of immune system that are involved in protecting the body against infection disease and foreign invaders. There are difference category of white blood cell and each category can indicate about the irregularity of body. Nowadays, White blood cell diagnosis is usually examined manually by doctor. This process consumes a lot time, cost and susceptible to error compare with automatic computerize process. An automatic classification technique for microscopic white blood cell images focusing on images from fresh blood smears[1] is proposed in this paper. The classification is conducted using a proposed method that consist of deep convolutional neural network (DCNN). 10,000 Microscopic blood images were tested and the classification method obtain 93%","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"58 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":"126694292","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/BMEiCON47515.2019.8990302
K. Thanontip, B. Chetsawang, Vasunun Chumchua
Cognitive function is the intellectual activity of mental processes, such as, attention, processing speed, learning and memory, executive function, verbal fluency, and working memory. Cognitive deficits may contribute to functional disability in psychiatric disorders. Therefore, improving cognitive function has the potential to enhance the quality of life and occupational capacity, and reduce disease problems and societal costs. Recent evidence emphasized that conventional antipsychotics effective in treating positive symptoms but have almost no therapeutic benefit on cognitive impairment and produce a poor functional outcome. It has been hypothesized that antipsychotics might induce cognitive impairment or decline in psychiatric disorders. Therefore, this study aims to elucidate the network of proteins that may involve in antipsychotic drug-induced cognitive impairment. The results of GeneCards analysis showed 213 target genes of commonly use antipsychotics in schizophrenia, 122 genes associated with cognitive function in schizophrenia, and 28 genes related to antipsychotics and cognitive function in schizophrenia. Protein-protein interaction (PPI) network of 12 significantly interconnected proteins was generated by the PPI network analysis and clustering method. The 16 significant pathways related to antipsychotic drugs and cognitive function were identified using pathway grouped network analysis. These results demonstrate clue evidence to discover novel target sites of action of antipsychotics that might play a pivotal role in cognitive deficits in schizophrenia.
{"title":"Novel Protein-Protein Interaction Network of Antipsychotic Drugs and Cognitive Function","authors":"K. Thanontip, B. Chetsawang, Vasunun Chumchua","doi":"10.1109/BMEiCON47515.2019.8990302","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990302","url":null,"abstract":"Cognitive function is the intellectual activity of mental processes, such as, attention, processing speed, learning and memory, executive function, verbal fluency, and working memory. Cognitive deficits may contribute to functional disability in psychiatric disorders. Therefore, improving cognitive function has the potential to enhance the quality of life and occupational capacity, and reduce disease problems and societal costs. Recent evidence emphasized that conventional antipsychotics effective in treating positive symptoms but have almost no therapeutic benefit on cognitive impairment and produce a poor functional outcome. It has been hypothesized that antipsychotics might induce cognitive impairment or decline in psychiatric disorders. Therefore, this study aims to elucidate the network of proteins that may involve in antipsychotic drug-induced cognitive impairment. The results of GeneCards analysis showed 213 target genes of commonly use antipsychotics in schizophrenia, 122 genes associated with cognitive function in schizophrenia, and 28 genes related to antipsychotics and cognitive function in schizophrenia. Protein-protein interaction (PPI) network of 12 significantly interconnected proteins was generated by the PPI network analysis and clustering method. The 16 significant pathways related to antipsychotic drugs and cognitive function were identified using pathway grouped network analysis. These results demonstrate clue evidence to discover novel target sites of action of antipsychotics that might play a pivotal role in cognitive deficits in schizophrenia.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"56 4 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":"116351987","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/BMEiCON47515.2019.8990331
Rattasart Sakunrat, Kongphum Arthamanolap, P. Phasukkit
In medicine, radiotherapy image obtained from CT or MRI is an important part in planning to find dosage for radiation treatment for cancer patients. Those images that obtained from CT may have artifacts caused by many factors such as motion artifact, metal artifact, scatter, ring artifact, pseudo enhancement and cone beam effect which is a component that makes image analysis worse. For improvement the quality of image that have artifact, image processing technique is used to manage and reduce it before bring to apply in radiotherapy of medicine. However, for finding the artifacts of 3D image is so difficultly and take more time because 3D image has to split into 2D image before. The aim of this research is to identify the artifact noise in 2D slice by using Deep Convolutional Neural Network (DCNN) model of metal artifact for reduce time. In this experiment have divided dataset into two types of image include 100 image of artifacts and 100 image Non-artifacts for training and 20 images for testing. The result has been shown that accuracy of artifacts and Non-artifacts are 76% and 62.28% respectively. In addition, this studied has found that a small amount of data from Thailand individual results in less accuracy.
{"title":"Metal Artifact Recognition using Deep Convolutional Neural Network in Abdomen and Pelvis CT Image","authors":"Rattasart Sakunrat, Kongphum Arthamanolap, P. Phasukkit","doi":"10.1109/BMEiCON47515.2019.8990331","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990331","url":null,"abstract":"In medicine, radiotherapy image obtained from CT or MRI is an important part in planning to find dosage for radiation treatment for cancer patients. Those images that obtained from CT may have artifacts caused by many factors such as motion artifact, metal artifact, scatter, ring artifact, pseudo enhancement and cone beam effect which is a component that makes image analysis worse. For improvement the quality of image that have artifact, image processing technique is used to manage and reduce it before bring to apply in radiotherapy of medicine. However, for finding the artifacts of 3D image is so difficultly and take more time because 3D image has to split into 2D image before. The aim of this research is to identify the artifact noise in 2D slice by using Deep Convolutional Neural Network (DCNN) model of metal artifact for reduce time. In this experiment have divided dataset into two types of image include 100 image of artifacts and 100 image Non-artifacts for training and 20 images for testing. The result has been shown that accuracy of artifacts and Non-artifacts are 76% and 62.28% respectively. In addition, this studied has found that a small amount of data from Thailand individual results in less accuracy.","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":"130075178","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/BMEiCON47515.2019.8990310
Zugui Peng, K. Shimba, Y. Miyamoto, T. Yagi
Lipobeads are spherical vesicles of lipid membrane supported by a hydrogel core that hold promise as next-generation biosensors. However, previous methods for generating lipobeads had limitations due to the use of organic solvents and low ionic strength solutions. To overcome these limitations, we developed a method for forming lipobeads by using a gel-assisted swelling approach. Our results show that lipobeads form in osmotic strength solution and supposed to contain no residual organic solvent.
{"title":"Preparation of giant lipobeads using a gel-assisted swelling method","authors":"Zugui Peng, K. Shimba, Y. Miyamoto, T. Yagi","doi":"10.1109/BMEiCON47515.2019.8990310","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990310","url":null,"abstract":"Lipobeads are spherical vesicles of lipid membrane supported by a hydrogel core that hold promise as next-generation biosensors. However, previous methods for generating lipobeads had limitations due to the use of organic solvents and low ionic strength solutions. To overcome these limitations, we developed a method for forming lipobeads by using a gel-assisted swelling approach. Our results show that lipobeads form in osmotic strength solution and supposed to contain no residual organic solvent.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"17 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":"131255716","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/BMEiCON47515.2019.8990247
Manao Bunkum, Phakjira Vachirasakulchai, Jindapa Nampeng, Ramita Tommajaree, S. Visitsattapongse
This research is for facilitate the healthcare worker to approach patient that located in distant areas via internet. Also, patient need not to get to the city to see a doctor. Hence, this research will reduce time and cost of traveling. This research is to create tele-control robot arm, use in the operating room, which is controlled by joystick from anywhere. It is separated into 2 parts that is hardware part to design and print 3D robot arm and joystick and software part, which is code to control robot arm also send controlling data via internet. Furthermore, this project will send real-time video from robot arm to controller side. The data is sent between robot arm and joystick by nodeMCU or in this project use two ESP32, one will receive data from joystick and send the data to another for control robot arm. In the section of sending real-time video, this project use Raspberry pi as a device for sending.
{"title":"Tele-Operation of Robotic Arm","authors":"Manao Bunkum, Phakjira Vachirasakulchai, Jindapa Nampeng, Ramita Tommajaree, S. Visitsattapongse","doi":"10.1109/BMEiCON47515.2019.8990247","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990247","url":null,"abstract":"This research is for facilitate the healthcare worker to approach patient that located in distant areas via internet. Also, patient need not to get to the city to see a doctor. Hence, this research will reduce time and cost of traveling. This research is to create tele-control robot arm, use in the operating room, which is controlled by joystick from anywhere. It is separated into 2 parts that is hardware part to design and print 3D robot arm and joystick and software part, which is code to control robot arm also send controlling data via internet. Furthermore, this project will send real-time video from robot arm to controller side. The data is sent between robot arm and joystick by nodeMCU or in this project use two ESP32, one will receive data from joystick and send the data to another for control robot arm. In the section of sending real-time video, this project use Raspberry pi as a device for sending.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"122 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":"133308940","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/BMEiCON47515.2019.8990338
Jyothsna Somanna, Deepika Joshi, Hiranmaya Gundu, G. Srinivasa
Polysomnography (PSG) is a sleep study where multiple parameters of a subject are continuously monitored to detect sleep disorders that can have adverse health effects. This study uses Machine Learning techniques to automatically detect and classify apneas and hypopneas in PSG data. By incorporating features that sleep analysts look for in PSG data we present a machine learning based approach to automatically detect the presence of hypopnea or apnea and classify the type of pathology. This paper presents a visualization of the PSG study, explicates the design of features and provides a comparison between the approaches of learning from the computed features versus the signal directly. Our results demonstrate that a hierarchical SVM model trained on a small set of features yields an accuracy of 82.6% with a high precision of 86%.
{"title":"Automated Classification of Sleep Apnea and Hypopnea on Polysomnography Data","authors":"Jyothsna Somanna, Deepika Joshi, Hiranmaya Gundu, G. Srinivasa","doi":"10.1109/BMEiCON47515.2019.8990338","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990338","url":null,"abstract":"Polysomnography (PSG) is a sleep study where multiple parameters of a subject are continuously monitored to detect sleep disorders that can have adverse health effects. This study uses Machine Learning techniques to automatically detect and classify apneas and hypopneas in PSG data. By incorporating features that sleep analysts look for in PSG data we present a machine learning based approach to automatically detect the presence of hypopnea or apnea and classify the type of pathology. This paper presents a visualization of the PSG study, explicates the design of features and provides a comparison between the approaches of learning from the computed features versus the signal directly. Our results demonstrate that a hierarchical SVM model trained on a small set of features yields an accuracy of 82.6% with a high precision of 86%.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"40 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":"127803427","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/BMEiCON47515.2019.8990190
Panupong Buasombat, Nonthakorn Pungpa, P. Phasukkit
Respiration rate detections and measurement has a benefit for elementary symptom in medical application. In present, most of respiration examination in medical field still needs to contact electrode with skin which is main still problem for some patient. Patients who got problem with skin like dermatitis or unable for contact case cause the problem for respiration rate detection. So, this research intends to design non-contact respiration measurement system for resolve this problem. The research applies impulse radio function with ultra-wideband wave (UWB) generate by field programmable gate array (FPGA) for detect respiration rate. In the experiment, we have designed the signal processing algorithm for respiration rate measurement by Fast-Fourier Transform (FFT) of doppler frequency from UWB detection. Result has compared respiration rate measurement between non-contact respiration rate by designed algorithm and standard contact respiration monitoring belt.
{"title":"IR-UWB generate by FPGA for Non-contact Respiration Measurements","authors":"Panupong Buasombat, Nonthakorn Pungpa, P. Phasukkit","doi":"10.1109/BMEiCON47515.2019.8990190","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990190","url":null,"abstract":"Respiration rate detections and measurement has a benefit for elementary symptom in medical application. In present, most of respiration examination in medical field still needs to contact electrode with skin which is main still problem for some patient. Patients who got problem with skin like dermatitis or unable for contact case cause the problem for respiration rate detection. So, this research intends to design non-contact respiration measurement system for resolve this problem. The research applies impulse radio function with ultra-wideband wave (UWB) generate by field programmable gate array (FPGA) for detect respiration rate. In the experiment, we have designed the signal processing algorithm for respiration rate measurement by Fast-Fourier Transform (FFT) of doppler frequency from UWB detection. Result has compared respiration rate measurement between non-contact respiration rate by designed algorithm and standard contact respiration monitoring belt.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"80 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":"131398994","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/BMEiCON47515.2019.8990241
Jirawat Iamsamang, Kititat Subannajui, Tulapruek Tawonsawatruk, P. Naiyanetr
Self-setting calcium phosphate cement (CPC), used in orthopedic surgery for bone replacement, usually consists of the powder mixture and setting liquid (aqueous) or carrier liquid (non-aqueous). After mixing two-phase compounds, the injectable viscous solution was formed and able to mold into the desired shape of the bone. The heterogeneous mixture, however, affects the dissolution-precipitation reaction ending in the unwanted chemical products, the deformed shape of solidified materials, and the undesired mechanical properties. In addition, the debris of heterogeneity increased the clogged needle probability when extruding with the cartridge of the 3D printer. In order to overcome these sort of problems and refine the homogeneity of CPC, the blade-free planetary mixer was used. Herein, the planetary centrifugal mixer was developed to increase the homogeneity of the CPC mixtures in batch production. The preliminary study of characteristics of the mixer, the revolution speed, centrifugal acceleration (1-66G), and their relations, was reported. The homogeneity of a CPC mixture was tested into two parts: the mixings of the powder-powder compound, and the powder-liquid paste. ImageJ, Fiji bundles, was used to evaluate the homogeneity of the mixture. The centrifugal acceleration of 16G and 66G homogeneously mixed a 1.2g of CaCO3/Orange Red 735 and a 1.5g of αTCP/Glycerine respectively within 3 minutes. This study intentionally contributed to the fields of bio-printing and biofabrication, especially artificial bone, by improving the mixing process of the bone cement formula and demonstrating the idea for industrializing the bone cement into the commercial product.
{"title":"Premixed Calcium Phosphate Cement for Extrusion-based 3D Printing: Planetary Centrifugal Mixer and Homogeneity Evaluation","authors":"Jirawat Iamsamang, Kititat Subannajui, Tulapruek Tawonsawatruk, P. Naiyanetr","doi":"10.1109/BMEiCON47515.2019.8990241","DOIUrl":"https://doi.org/10.1109/BMEiCON47515.2019.8990241","url":null,"abstract":"Self-setting calcium phosphate cement (CPC), used in orthopedic surgery for bone replacement, usually consists of the powder mixture and setting liquid (aqueous) or carrier liquid (non-aqueous). After mixing two-phase compounds, the injectable viscous solution was formed and able to mold into the desired shape of the bone. The heterogeneous mixture, however, affects the dissolution-precipitation reaction ending in the unwanted chemical products, the deformed shape of solidified materials, and the undesired mechanical properties. In addition, the debris of heterogeneity increased the clogged needle probability when extruding with the cartridge of the 3D printer. In order to overcome these sort of problems and refine the homogeneity of CPC, the blade-free planetary mixer was used. Herein, the planetary centrifugal mixer was developed to increase the homogeneity of the CPC mixtures in batch production. The preliminary study of characteristics of the mixer, the revolution speed, centrifugal acceleration (1-66G), and their relations, was reported. The homogeneity of a CPC mixture was tested into two parts: the mixings of the powder-powder compound, and the powder-liquid paste. ImageJ, Fiji bundles, was used to evaluate the homogeneity of the mixture. The centrifugal acceleration of 16G and 66G homogeneously mixed a 1.2g of CaCO3/Orange Red 735 and a 1.5g of αTCP/Glycerine respectively within 3 minutes. This study intentionally contributed to the fields of bio-printing and biofabrication, especially artificial bone, by improving the mixing process of the bone cement formula and demonstrating the idea for industrializing the bone cement into the commercial product.","PeriodicalId":213939,"journal":{"name":"2019 12th Biomedical Engineering International Conference (BMEiCON)","volume":"173 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":"124232782","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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