2018 International Conference on Biomedical Engineering and Applications (ICBEA)最新文献

Distance Measurement System for Medical Applications Based on the NanEye Stereo Camera 基于NanEye立体相机的医疗距离测量系统

2018 International Conference on Biomedical Engineering and Applications (ICBEA) Pub Date : 2018-07-09 DOI: 10.1109/ICBEA.2018.8471728

Bernardino Ascensao, P. Santos, F. M. Dias

引用次数: 3

Automatic Calibration of the Deceived Non Local Means Filter for Improving the Segmentation of Cells in Fluorescence Based Microscopy 欺骗非局部均值滤波器的自动校正以提高荧光显微镜对细胞的分割

2018 International Conference on Biomedical Engineering and Applications (ICBEA) Pub Date : 2018-07-01 DOI: 10.1109/ICBEA.2018.8471735

S. C. Ramírez, Joel Barrantes, J. Schuster, Mauro Mendez, Jakub Begera

{"title":"Automatic Calibration of the Deceived Non Local Means Filter for Improving the Segmentation of Cells in Fluorescence Based Microscopy","authors":"S. C. Ramírez, Joel Barrantes, J. Schuster, Mauro Mendez, Jakub Begera","doi":"10.1109/ICBEA.2018.8471735","DOIUrl":"https://doi.org/10.1109/ICBEA.2018.8471735","url":null,"abstract":"This paper presents an automatic approach for optimal calibration of the deceived non local means filter (DNLM), for enhancing segmentation accuracy of fluorescence based microscopy images. The DNLM is designed for image denoising and enhancement. The calibration of its parameters in real image preprocessing applications is very often time consuming, since doing a manual calibration in a sample image might not work in different image samples. We compared three different stochastic optimization approaches: simulated annealing, particle swarm optimization and genetic algorithms, and selected the best approach. The implemented solution needs from the user only to define a precision metric and a set of image samples, and the algorithm will arrive to a locally optimal set of the filter parameters, to improve segmentation accuracy, using Otsu thresholding and measured with the Dice index. The PSO approach presented the overall best performance, with an average Dice index of 0.9667 in the validation set, a two percent boost over the best manually calibrated set of parameters for the DNLM.","PeriodicalId":260321,"journal":{"name":"2018 International Conference on Biomedical Engineering and Applications (ICBEA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121158937","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

Prototype-based Classifier for Automatic Diagnosis of Depressive Mood 基于原型的抑郁情绪自动诊断分类器

2018 International Conference on Biomedical Engineering and Applications (ICBEA) Pub Date : 2018-07-01 DOI: 10.1109/ICBEA.2018.8471736

S. Cholet, H. Paugam-Moisy

引用次数: 1

Scattering Behaviour Analysis for UWB Antenna in the Vicinity of Heterogeneous Breast Model 非均匀乳房模型附近UWB天线的散射特性分析

2018 International Conference on Biomedical Engineering and Applications (ICBEA) Pub Date : 2018-07-01 DOI: 10.1109/ICBEA.2018.8471730

Khondker Jahid Reza, Sheikh Shanawaz Mostafa, Mahamudul Hassan Milon, S. Khatun, M. Jamlos

引用次数: 1

Applications of Artificial Neural Networks in Process Control Applications: A Review 人工神经网络在过程控制中的应用综述

2018 International Conference on Biomedical Engineering and Applications (ICBEA) Pub Date : 2018-07-01 DOI: 10.1109/ICBEA.2018.8471743

Alexander Kramer, F. M. Dias

引用次数: 7

Sleep Quality Analysis with Cardiopulmonary Coupling 睡眠质量分析与心肺耦合

2018 International Conference on Biomedical Engineering and Applications (ICBEA) Pub Date : 2018-07-01 DOI: 10.1109/ICBEA.2018.8471727

Fábio Mendonça, Sheikh Shanawaz Mostafa, F. M. Dias, A. Ravelo-García

{"title":"Sleep Quality Analysis with Cardiopulmonary Coupling","authors":"Fábio Mendonça, Sheikh Shanawaz Mostafa, F. M. Dias, A. Ravelo-García","doi":"10.1109/ICBEA.2018.8471727","DOIUrl":"https://doi.org/10.1109/ICBEA.2018.8471727","url":null,"abstract":"Sleep quality is commonly assessed with subject self-reporting, interviews and psychological variables. However, more precise methods comprise estimation of physiological signals where polysomnography is considered to be the gold standard and can be performed to produce qualitative or quantitative measurements regarding the subjects sleep. However, polysomnography is known to be a complex and expensive process that is inaccessible to a large group of the population. The main objective of this work is to produce an algorithm that is capable to ascertain sleep quality, using only data from a single-lead electrocardiogram, that can be implemented in a small digital signal processor or a small field-programmable gate array. Therefore, providing a tool that can be used for identifying the need of a polysomnography analysis or as a complementary method to improve the detection capability of other pathologies. The employed method first determined both normal-to-normal sinus interbeat interval series and electrocardiogram derived respiration signal, producing the cardiopulmonary coupling with the cross-spectral coherence method. This information was fed to a classifier to determine the non-rapid eye movement (non-REM) and cyclic alternating pattern (CAP) periods. Cyclic alternating pattern rate was then computed to provide a qualitative measure of sleep quality, considering the age-related cyclic alternating pattern rate percentages in healthy subjects as reference threshold. The employed method provided a reasonable non-rapid eye movement sleep classification (70% accuracy) but a poor cyclic alternating pattern detection capability (62% accuracy). From the ten tested classifiers deep stacked autoencoder produced the best results and the average absolute difference of predicted and true cyclic alternating pattern rate was 15%, classifying correctly 67% of the subjects, regarding their sleep quality (either good or bad).","PeriodicalId":260321,"journal":{"name":"2018 International Conference on Biomedical Engineering and Applications (ICBEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125760755","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: 4

On-Chip Digital Temperature Sensor for CMOS Image Sensor 用于CMOS图像传感器的片上数字温度传感器

2018 International Conference on Biomedical Engineering and Applications (ICBEA) Pub Date : 2018-07-01 DOI: 10.1109/ICBEA.2018.8471737

R. Gomes, Paulo Franco, F. M. Dias

引用次数: 1

Configurable N-fold Hardware Architecture for Convolutional Neural Networks 卷积神经网络的可配置N-fold硬件架构

2018 International Conference on Biomedical Engineering and Applications (ICBEA) Pub Date : 2018-07-01 DOI: 10.1109/ICBEA.2018.8471739

Darío Baptista, F. M. Dias, L. Sousa

{"title":"Configurable N-fold Hardware Architecture for Convolutional Neural Networks","authors":"Darío Baptista, F. M. Dias, L. Sousa","doi":"10.1109/ICBEA.2018.8471739","DOIUrl":"https://doi.org/10.1109/ICBEA.2018.8471739","url":null,"abstract":"A Convolutional Neural Network (CNN) is a class of deep feed-forward artificial neural network usually employed to analyze visual images. Recently, rapid progress in applications based on CNNs has urged research on efficient architectures and implementations that exploit the latest technological advancements. The growing complexity of CNN architectures and the usage of reconfigurable devices enlarge the design space to a range hard to fully explore. This paper proposes a new method to design and implement efficient and flexible CNN architectures on hardware. The method adopts an N-fold approach, particularly suitable for devices with strict restrictions on power consumption and featuring reconfigurability. An 8-layer CNN to classify handwritten was trained on a software and prototyped on a FPGA available in a Zynq 7000 Programmable System on a Chip (SoC) board using the proposed CNN architecture. The hardware architecture was described and implemented using High Level Synthesis, enabling a fast development and easy configuration. Experimental results show that the best performance is achieved by using a pipelined design with a partial unfolding sublayer. A processing time of 3.4ms to classify was achieved with 41.16% of resources and 2.1W of power consumption. In contrast, a low-power design «2W), consuming 27.99% of the resources of the board, required 16.7ms to process the same CNN.","PeriodicalId":260321,"journal":{"name":"2018 International Conference on Biomedical Engineering and Applications (ICBEA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127324579","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: 6

Textile Embedded Sensors Matrix for Pressure Sensing and Monitoring Applications for the Pressure Ulcer Prevention 用于压力感测和监测的纺织品嵌入式传感器矩阵在压疮预防中的应用

2018 International Conference on Biomedical Engineering and Applications (ICBEA) Pub Date : 2018-07-01 DOI: 10.1109/ICBEA.2018.8471742

Susana Pereira, Ricardo Simões, Joana Fonseca, Ricardo Carvalho, Joana Almeida

{"title":"Textile Embedded Sensors Matrix for Pressure Sensing and Monitoring Applications for the Pressure Ulcer Prevention","authors":"Susana Pereira, Ricardo Simões, Joana Fonseca, Ricardo Carvalho, Joana Almeida","doi":"10.1109/ICBEA.2018.8471742","DOIUrl":"https://doi.org/10.1109/ICBEA.2018.8471742","url":null,"abstract":"Despite improvements in medical industry and the consequent modernization of the healthcare, pressure ulcers prevalence remains high particularly in hospitalized patients. This type of skin lesion affects the patients' quality of life and their caregivers, being an important cause of morbidity and in some cases contribute to the increase in the mortality rate. The use of support surfaces is an important consideration in pressure redistribution, although its can never remove all body pressure, which is one of the factors with greatest impact on the pressure ulcers development. This work aims to demonstrate a new concept of pressure sensing/monitoring system, from which the caregiver will have the perception of the body parts exposed to excessive pressure. This system consists of a resistive sensor array made from Force Sensing Resistors (FSR) embedded in a textile substrate. The developed system is a demonstrator that can be used as support for the construction of a more robust pressure mapping system, able to measure pressure distribution of a lying person. In addition, this system can also be used for the creation of an actuation system, which responds to pressure relief needs based on the sensing system feedback.","PeriodicalId":260321,"journal":{"name":"2018 International Conference on Biomedical Engineering and Applications (ICBEA)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129689800","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: 3

International Conference on Biomedical Engineering Applications 生物医学工程应用国际会议

2018 International Conference on Biomedical Engineering and Applications (ICBEA) Pub Date : 2018-07-01 DOI: 10.1109/icbea.2018.8471738

引用次数: 0