2022 14th Biomedical Engineering International Conference (BMEiCON)最新文献_第6页

SNR estimation in EMG signals contaminated with motion artifact 运动伪影污染的肌电信号信噪比估计

2022 14th Biomedical Engineering International Conference (BMEiCON) Pub Date : 2022-11-10 DOI: 10.1109/BMEiCON56653.2022.10012080

Thandar Oo, P. Phukpattaranont

引用次数: 0

Detection of Creatinine Using Molecularly Imprinted Polymers (MIP) Technique 分子印迹聚合物(MIP)技术检测肌酐

2022 14th Biomedical Engineering International Conference (BMEiCON) Pub Date : 2022-11-10 DOI: 10.1109/BMEiCON56653.2022.10011578

Teerachote Pitayataratorn, Wannisa Sukjee, C. Sangma, S. Visitsattapongse

{"title":"Detection of Creatinine Using Molecularly Imprinted Polymers (MIP) Technique","authors":"Teerachote Pitayataratorn, Wannisa Sukjee, C. Sangma, S. Visitsattapongse","doi":"10.1109/BMEiCON56653.2022.10011578","DOIUrl":"https://doi.org/10.1109/BMEiCON56653.2022.10011578","url":null,"abstract":"An electrochemical potentiometric biosensor based on the molecularly imprinted polymer (MIP) technique has been fabricated for creatinine detection. The polymer consists of azobisisobutyronitrile (AIBN) as an initiator together with N, N’(1,2-Dihydroxyethelene) bisacrylamide (DHEBA) as a cross-linker and graphene oxide (GO) was prepared along with several functional monomers combination to compare each combination’s effectiveness in the detection of creatinine. An experiment was divided into imprint and non-imprint polymer for imprinting effectiveness evaluation. Creatinine anhydrous were used as template molecules for imprinting the polymer. The analyte was prepared in buffer solution (PBS) at a pH of 7.4 with a concentration range from 0.01 mg/dl to 100 mg/dl. N-hydroxy succinimide (NHS) and D-glucose were used for the specificity test. This study can conclude that polymers consisting of functional monomer methyl methacrylate (MMA) and acrylamide (AAM) with a 1:1 ratio show significant sensitivity to creatinine with the detection limit of 0.1 mg/dl along with remarkable selectivity to creatinine against other negative control compared to other conditions in this study and the sensor has a response linearly ranges from 0.01 to 100 mg/dl.","PeriodicalId":177401,"journal":{"name":"2022 14th Biomedical Engineering International Conference (BMEiCON)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134255191","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

Detection of Mineral (Ca/Fe) Concentration in Blood Using the Complex Bioimpedance 复合生物阻抗法检测血钙铁浓度

2022 14th Biomedical Engineering International Conference (BMEiCON) Pub Date : 2022-11-10 DOI: 10.1109/BMEiCON56653.2022.10012090

L. Szolga

引用次数: 0

Detection and Classification of COVID-19 Chest X-rays by the Deep Learning Technique 基于深度学习技术的COVID-19胸部x线检测与分类

2022 14th Biomedical Engineering International Conference (BMEiCON) Pub Date : 2022-11-10 DOI: 10.1109/BMEiCON56653.2022.10012094

Wannika Sonarra, Naphatsawan Vongmanee, Nutthanan Wanluk, C. Pintavirooj, S. Visitsattapongse

{"title":"Detection and Classification of COVID-19 Chest X-rays by the Deep Learning Technique","authors":"Wannika Sonarra, Naphatsawan Vongmanee, Nutthanan Wanluk, C. Pintavirooj, S. Visitsattapongse","doi":"10.1109/BMEiCON56653.2022.10012094","DOIUrl":"https://doi.org/10.1109/BMEiCON56653.2022.10012094","url":null,"abstract":"The Coronavirus disease (COVID-19) infection has become a pandemic, and this is the most critical problem that has occurred in Thailand and also expanded all over the world. As such, it is not astonishing to know that this virus has had a direct effect on hospitals with the delayed screening of patients because of the increasing number of daily cases and the shortage of medical personnel and restricted treatment space. Due to such restrictions, in this study, we used a clinical decision-making system with predictive algorithms. Predictive algorithms could potentially ease the strain on healthcare systems by identifying the diseases. Moreover, image classification is one interesting aspect of image processing. Convolutional neural network (CNN) is a widely used algorithm for image classification by separating the images of the COVID-19 disease, images with a lung infection, and normal images. To evaluate the predictive performance of our models, precision, F1-score, recall, receiver operating characteristic (ROC) curve (area under the ROC curve), and accuracy scores were used. It was observed that the predictive models trained on the laboratory findings could be used to predict the COVID-19 infection as well and could be helpful for medical experts to appropriately prioritize the resources. This could be employed to assist medical experts in validating their initial laboratory findings and could also be used for clinical prediction studies.","PeriodicalId":177401,"journal":{"name":"2022 14th Biomedical Engineering International Conference (BMEiCON)","volume":"177 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132193187","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

Statistical Representation of Emotions for Puzzle Workload using Electroencephalogram and Heart Rate Variability 利用脑电图和心率变异性对智力游戏工作负荷情绪的统计表征

2022 14th Biomedical Engineering International Conference (BMEiCON) Pub Date : 2022-11-10 DOI: 10.1109/BMEiCON56653.2022.10012068

T. Igasaki, Aoi Takahi, Saori Nishikawa

{"title":"Statistical Representation of Emotions for Puzzle Workload using Electroencephalogram and Heart Rate Variability","authors":"T. Igasaki, Aoi Takahi, Saori Nishikawa","doi":"10.1109/BMEiCON56653.2022.10012068","DOIUrl":"https://doi.org/10.1109/BMEiCON56653.2022.10012068","url":null,"abstract":"We attempted to express the psychological quantity of executing workload through statistical analysis of indices extracted from an electroencephalogram (EEG) and a heart rate variability (HRV) score of subjects when they were asked to solve jigsaw puzzles. First, we conducted a regression analysis of the emotional score of the mood evaluation questionnaire after the completion of the workload and the indices of the EEG and HRV before and after the start and completion of the workload, and thereafter confirmed the strongest correlation before the completion of the workload. Next, we conducted a principal component analysis of the indices of the EEG and HRV before the completion of the workload, and thereafter confirmed that three principal components were obtained that correlated with “friendship,” “fatigue-inertia,” and “vigor-activity” in the mood evaluation questionnaire. Therefore, we demonstrated that the physiological quantities of the EEG and HRV indices could statistically express the psychological quantities of positive/negative emotions, even with small data.","PeriodicalId":177401,"journal":{"name":"2022 14th Biomedical Engineering International Conference (BMEiCON)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129738924","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

Nanoliposome of Linolenic acid for Methicillin-resistant Staphylococcus aureus treatment 用于耐甲氧西林金黄色葡萄球菌治疗的亚麻酸纳米脂质体

2022 14th Biomedical Engineering International Conference (BMEiCON) Pub Date : 2022-11-10 DOI: 10.1109/BMEiCON56653.2022.10012101

Azmee Okriss, Julinthip Puttawong, Mingkwan Yingkajorn, Somyot Chirasatitsin, Soracha D. Thamphiwatana

引用次数: 0

Classification model for predicting inflammation of the urinary bladder and acute nephritis of the renal pelvis 预测膀胱炎症和急性肾盂肾炎的分类模型

2022 14th Biomedical Engineering International Conference (BMEiCON) Pub Date : 2022-11-10 DOI: 10.1109/BMEiCON56653.2022.10012109

Chanin Lochotinunt, Suejit Pechprasarn, T. Treebupachatsakul

引用次数: 0

Finite element analysis of plantar pressure distribution in diabetic foot during stance phase of the gait cycle without and with custom-made insole 无定制鞋垫和有定制鞋垫时糖尿病足站立阶段足底压力分布的有限元分析

2022 14th Biomedical Engineering International Conference (BMEiCON) Pub Date : 2022-11-10 DOI: 10.1109/BMEiCON56653.2022.10012093

M. Nouman, S. Chatpun

{"title":"Finite element analysis of plantar pressure distribution in diabetic foot during stance phase of the gait cycle without and with custom-made insole","authors":"M. Nouman, S. Chatpun","doi":"10.1109/BMEiCON56653.2022.10012093","DOIUrl":"https://doi.org/10.1109/BMEiCON56653.2022.10012093","url":null,"abstract":"Diabetic foot complications tend to increase plantar pressure distribution increasing the chances of ulceration and re-ulceration. The knowledge about the factors associated with the causes of ulceration and effective offloading still lacks. Custom-made insole (CMI) is one of offloading techniques. This study aimed to investigate the plantar pressure distribution with shod gait and with CMI during stance phase of the gait cycle using a finite element (FE) approach. A subject-specific three-dimensional model without and with CMI was constructed. The ground reaction force from the experimental study was applied to the FE foot model during different phases of the gait cycle. The peak contact pressure was reduced with the use of CMI from all phases of the gait cycle. Moreover, frictional stress was reduced especially from the forefoot at midstance and terminal stance of the gait cycle. CMI redistributed the plantar pressure and tends to reduce the frictional stress during stance phase of the gait cycle. FE analysis provides better understanding of different parameters that are difficult to calculate with the conventional method. The FE analysis ease the investigation of various conditions including without and with CMI during different phases of the gait cycle.","PeriodicalId":177401,"journal":{"name":"2022 14th Biomedical Engineering International Conference (BMEiCON)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126931370","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