2021 13th Biomedical Engineering International Conference (BMEiCON)最新文献

Automated Computer-aided Diagnosis for Brain Tumor Detection 脑肿瘤检测的自动计算机辅助诊断

2021 13th Biomedical Engineering International Conference (BMEiCON) Pub Date : 2021-11-19 DOI: 10.1109/BMEiCON53485.2021.9745232

P. Pranav, P. Samhita

{"title":"Automated Computer-aided Diagnosis for Brain Tumor Detection","authors":"P. Pranav, P. Samhita","doi":"10.1109/BMEiCON53485.2021.9745232","DOIUrl":"https://doi.org/10.1109/BMEiCON53485.2021.9745232","url":null,"abstract":"Brain tumors are a mass or collection of abnormal cells and tissues in the brain which can be benign or malignant. These grow to cause deleterious brain damage due to the in-crease in pressure caused inside the brain. The diagnosis of these tumors requires highly skilled clinicians and is sometimes prone to human errors. The proposal is to help facilitate the clinicians, doctors, and surgeons in effective visualization and diagnosis of these inimical brain tumors. The proposed method uses the implementation of a computer-aided diagnosis system that acts as an assistive tool to diagnose or interpret brain tumor regions in MR (Magnetic Resonance) images. It is a solution that enables the clinician to obtain a report on the MR images of the patient using a neural network-based computer-aided diagnosis system by implementing Mask-Region based Convolutional Neural Network to carry out the instance segmentation of tumors. This will lead to the detection of different major types of brain tumors like glioma, meningioma, and pituitary for easy and accurate visualization. The qualitative analysis performed to verify and evaluate the performance of the proposed system indicated an accuracy of 96.4%. Further, an Intersection Over Union value of 0.955 was observed for localization of the major brain tumors in the brain MR images procured from MRI (Magnetic Resonance Imaging) scans.","PeriodicalId":380002,"journal":{"name":"2021 13th Biomedical Engineering International Conference (BMEiCON)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124356869","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}

引用次数: 0

Deep learning techniques for synthetic CT generation: a single model for multiple anatomical sites 合成CT生成的深度学习技术:多个解剖部位的单一模型

2021 13th Biomedical Engineering International Conference (BMEiCON) Pub Date : 2021-11-19 DOI: 10.1109/BMEiCON53485.2021.9745200

Chitchaya Suwanraksa, T. Liamsuwan, Sitthichok Chaichulee

引用次数: 0

Fluorescence based rapid E. coli Detector 基于荧光的大肠杆菌快速检测仪

2021 13th Biomedical Engineering International Conference (BMEiCON) Pub Date : 2021-11-19 DOI: 10.1109/BMEiCON53485.2021.9745249

Thitiyo Chantharasuriyasakun, Siriyakorn Sungwol, W. Piyawattanametha

引用次数: 0

Analysis of GLRLM Texture Features Derived From Computed Tomography Scans For COVID-19 Diagnosis 基于计算机断层扫描的GLRLM纹理特征分析

2021 13th Biomedical Engineering International Conference (BMEiCON) Pub Date : 2021-11-19 DOI: 10.1109/BMEiCON53485.2021.9745204

Sabiq Muhtadi, Hamim Hamid

{"title":"Analysis of GLRLM Texture Features Derived From Computed Tomography Scans For COVID-19 Diagnosis","authors":"Sabiq Muhtadi, Hamim Hamid","doi":"10.1109/BMEiCON53485.2021.9745204","DOIUrl":"https://doi.org/10.1109/BMEiCON53485.2021.9745204","url":null,"abstract":"Since its discovery in late 2019, COVID-19 has become a major worldwide concern due to its incredibly high degree of contagion, and early diagnosis is crucial to limit this global progression. Computed Tomography (CT) scans of the chest offer a low-cost alternative diagnosis modality to the standard reverse polymerase chain reaction (RT-PCR) test for COVID-19. In this paper, we analyze texture features extracted from chest CT scans using Gray Level Run Length Matrix (GLRLM) techniques for their ability to distinguish between COVID-19 and non-COVID-19 patients. Quantitative texture analysis of CT scans provides a measure of the biological heterogeneity in tissue microenvironment which can be useful in the diagnosis of a wide range of diseases, and we hypothesize that GLRLM texture features may hold significance for diagnosis of COVID-19. 13 GLRLM features were extracted from CT scans of 349 positive COVID-19 cases and 397 negative COVID-19 cases. Holdout validation was used to randomly split 70% of the images for training, and the remaining 30% for testing. A GentleBoost classifier was used to evaluate performance. A significant AUROC of 0.92 along with a high classification accuracy of 85.7% was obtained on the independent test set, indicating that GLRLM texture features extracted from chest CT scans have the potential to be a significant tool in the rapid and accurate diagnosis of COVID-19.","PeriodicalId":380002,"journal":{"name":"2021 13th Biomedical Engineering International Conference (BMEiCON)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128598358","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}

引用次数: 0

An Automated ICD-10 Code Assigning System using A Classification Method 使用分类方法的ICD-10代码自动分配系统

2021 13th Biomedical Engineering International Conference (BMEiCON) Pub Date : 2021-11-19 DOI: 10.1109/BMEiCON53485.2021.9745217

Chanida Singto, O. Wongwirat

{"title":"An Automated ICD-10 Code Assigning System using A Classification Method","authors":"Chanida Singto, O. Wongwirat","doi":"10.1109/BMEiCON53485.2021.9745217","DOIUrl":"https://doi.org/10.1109/BMEiCON53485.2021.9745217","url":null,"abstract":"At present, some hospitals in Thailand have to manually analyze patient treatment data for assigning the disease diagnostic code, or ICD-10 (International Classification of Diseases and Related Health Problem 10th Revision) code. The ICD-10 codes are collected and submitted to the Ministry of Public Health to collect Thailand’s disease incidence statistics and allocate a budget for the development of the country’s health system. These hospitals have difficulty recruiting personnel with expertise in analyzed and assigned ICD-10 codes, causing a long working time and a problem with the accuracy of the analyzed and assigned ICD-10 codes, due to many patients daily. This paper presents the automated ICD-10 code assigning system developed for solving the problem of analyzing and assigning the ICD-10 code manually by a human expert in the hospitals. The system uses a classification method with a decision tree diagram as the model to classify the ICD-10 codes from patient treatment data, i.e., medicine and laboratory results. The system can be used as a tool to support a medical staff who is the expertise that analyzes and assigns the ICD-10 code in a more accurate and rapid manner. The evaluation of the classification result with the decision tree model is found to be 91.67 percent accurate in performance for the ICD-10 codes assigned.","PeriodicalId":380002,"journal":{"name":"2021 13th Biomedical Engineering International Conference (BMEiCON)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123990763","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}

引用次数: 0

Prototype of Wearable Device for Blood Pressure using Pulse Transit Time 利用脉搏传递时间测量血压的可穿戴设备原型

2021 13th Biomedical Engineering International Conference (BMEiCON) Pub Date : 2021-11-19 DOI: 10.1109/BMEiCON53485.2021.9745229

Manao Bunkum, Nutthanan Wanluk, S. Visitsattapongse

{"title":"Prototype of Wearable Device for Blood Pressure using Pulse Transit Time","authors":"Manao Bunkum, Nutthanan Wanluk, S. Visitsattapongse","doi":"10.1109/BMEiCON53485.2021.9745229","DOIUrl":"https://doi.org/10.1109/BMEiCON53485.2021.9745229","url":null,"abstract":"At present, there is a continuous increase in the number of patients suffering from hypertension in Thailand. and resulted in higher mortality rates as well. with an increasing trend every year Some people with high blood pressure need medication and regular monitoring of their blood pressure to prevent further complications. Most of these are pressure gauges that require a cuff that is wrapped around a patient’s upper arm, wrist, or thigh. which is not convenient to carry for patients who need to measure blood pressure regularly This research proposes a prototype of a wearable device for measuring blood pressure using Pulse Transit Time (PTT) by measuring the pulse between the wrist and the index finger of the other hand. and take the pulse movement time to calculate the blood pressure Based on the results of testing prototypes of wearable devices for measuring pressure compared to commercially available pressure gauges. Of the five participants, the prototype of a wearable device for measuring pressure was approximately 94% accurate compared to commercially available pressure gauges. The prototype device can measure blood pressure in real time and is always portable.","PeriodicalId":380002,"journal":{"name":"2021 13th Biomedical Engineering International Conference (BMEiCON)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131298740","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}

引用次数: 0

Effect of the amount of carbon nanotubes introduced into liposomes on membrane permeability 碳纳米管导入脂质体量对膜通透性的影响

2021 13th Biomedical Engineering International Conference (BMEiCON) Pub Date : 2021-11-19 DOI: 10.1109/BMEiCON53485.2021.9745234

Shoichi Kanno, Zugui Peng, K. Shimba, Y. Miyamoto, T. Yagi

{"title":"Effect of the amount of carbon nanotubes introduced into liposomes on membrane permeability","authors":"Shoichi Kanno, Zugui Peng, K. Shimba, Y. Miyamoto, T. Yagi","doi":"10.1109/BMEiCON53485.2021.9745234","DOIUrl":"https://doi.org/10.1109/BMEiCON53485.2021.9745234","url":null,"abstract":"Single-walled carbon nanotubes (SWNTs) have a diameter of several nanometers and can spontaneously insert themselves into lipid membranes, which are the basic component of cell membranes, and allow ions to pass through. Therefore, SWNTs are expected to be incorporated into spherical artificial lipid membranes (liposomes) and used in sensors and drug delivery systems. Currently, ion transport through SWNTs is measured optically using fluorescent probes in nanosized liposomes. However, inserting SWNTs into membranes changes the morphology and mechanical properties of the membranes, and ion influx could occur through defects in the membranes caused by these changes. In this study, we used fluorescence microscopy and giant unilamellar vesicles, which are micrometer-sized liposomes, to observe the state of the liposome membrane and ion transport through the membrane in parallel. To observe ion transport, Ca2+-sensitive fluorescent probes were encapsulated in liposomes, and Ca2+ was added externally. In addition, the amount of SWNTs introduced into the liposome was changed, and the effect of the SWNT concentration on the ion transport was observed. The ion transport through SWNTs was confirmed by the increase in fluorescence intensity. In addition, the ion permeability increased with decreasing SWNT concentration, suggesting that a high SWNT concentration affected the insertion of SWNTs into the membrane.","PeriodicalId":380002,"journal":{"name":"2021 13th Biomedical Engineering International Conference (BMEiCON)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123568315","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}

引用次数: 0

Pressure Swing Absorption Oxygen Concentrator equipped with Remote Monitoring Pulse Oximeter 配备远程监测脉搏血氧仪的变压吸收式氧气浓缩器

2021 13th Biomedical Engineering International Conference (BMEiCON) Pub Date : 2021-11-19 DOI: 10.1109/BMEiCON53485.2021.9745242

Salila Ongtrakul, Anyarin Thitiratannapong, C. Pintavirooj, T. Treebupachatsakul

{"title":"Pressure Swing Absorption Oxygen Concentrator equipped with Remote Monitoring Pulse Oximeter","authors":"Salila Ongtrakul, Anyarin Thitiratannapong, C. Pintavirooj, T. Treebupachatsakul","doi":"10.1109/BMEiCON53485.2021.9745242","DOIUrl":"https://doi.org/10.1109/BMEiCON53485.2021.9745242","url":null,"abstract":"The new COVID-19 disease was first identified in China at the end of 2019 and has spread rapidly all over the world. It has been projected that, by March 2021, the number of infections could reach 300 million cases and over two million deaths. One of the main implications for COVID-19 patients is pneumonia where the lung is infected, hence patients suffering from insufficient oxygen in the blood. As the number of COVID-19 cases have significantly increased, the demand for oxygen generators have also skyrocketed. This research concerns the design and construction of emergency low-cost oxygen concentrators used for mild COVID-19 symptoms, of which are forced to be treated at home. Our absorption-based oxygen concentrator uses zeolite packed in a sieve canister. An Oil-free compressor is then used to pump air in. Zeolite will absorb nitrogen from the air leaving oxygen free to travel towards the outlet. To evaluate the treatment, we have equipped the system with a pulse oximeter to measure the percent saturation oxygen, pulse rate and temperature. To prevent COVID-19 infections between patients and caretakers, we have designed an android application to remotely control the oxygen concentrator. Experiment has shown that our emergency low-cost oxygen concentrator can supply oxygen with an 85% purity rate.","PeriodicalId":380002,"journal":{"name":"2021 13th Biomedical Engineering International Conference (BMEiCON)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122088653","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}

引用次数: 1

3D Image Reconstruction of Sclera Using A Light Field Camera 用光场相机重建巩膜三维图像

2021 13th Biomedical Engineering International Conference (BMEiCON) Pub Date : 2021-11-19 DOI: 10.1109/BMEiCON53485.2021.9745231

O. Heriana, A. B. Suksmono, H. Zakaria, A. Prahasta

引用次数: 1

Low-Cost Blower-Based Ventilator 低成本风机为基础的通风机

2021 13th Biomedical Engineering International Conference (BMEiCON) Pub Date : 2021-11-19 DOI: 10.1109/BMEiCON53485.2021.9745235

A. Thitirattanapong, Salila Ongtrakul, C. Pintavirooj

引用次数: 2