2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART)最新文献_第3页

Design of Elbow Exoskeleton with Wireless System Control for Post Stroke Flexion-Extension Rehabilitation 脑卒中后屈伸康复无线系统控制肘关节外骨骼设计

2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART) Pub Date : 2021-12-08 DOI: 10.1109/BioSMART54244.2021.9677764

Laily Asna Safira, A. Arifin, Atar Babgei, E. A. Suprayitno

{"title":"Design of Elbow Exoskeleton with Wireless System Control for Post Stroke Flexion-Extension Rehabilitation","authors":"Laily Asna Safira, A. Arifin, Atar Babgei, E. A. Suprayitno","doi":"10.1109/BioSMART54244.2021.9677764","DOIUrl":"https://doi.org/10.1109/BioSMART54244.2021.9677764","url":null,"abstract":"In this paper we proposed a rehabilitation system that assists therapists to restore motor function by repetitive flexion-extension movement using robotic technology. The sys-tem is an elbow exoskeleton that can be controlled based on elbow rotation angle and angular velocity. The system also equipped with wireless communication to give therapists an ability to determine the trajectory of motor movement patterns and speed. For speed control, therapists need to input Pulse Width Modulation (PWM) value by Android application that conducts 100% accuracy to communicate the PWM value to microcontroller through bluetooth connection. INA226 sensor used by the system for measuring current value in order to detect the voluntary movement that occured in subject's arm. Proportional Integral Derivative control (PID) used in order to achieve a predetermined trajectory value and maintain the Rotation per Minute (RPM) of the DC motor. As a result, the system can reach the target for fulfill 120-degree movement with 83.3% accuracy with passive hand and 100% accuracy with active arm condition. The measure of the sensor is used to analyze the rehabilitation process quantitatively and determine future treatment. This method expected can help patients to get intensive rehabilitation and make it easier for therapists to evaluate and rehabilitate patients.","PeriodicalId":286026,"journal":{"name":"2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART)","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133138350","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

Programmable and Portable Vibrotactile Feedback for Intuitive Virtual Grasping: A Preliminary Study Towards Upper Limb Rehabilitation 用于直观虚拟抓取的可编程便携式振动触觉反馈:上肢康复的初步研究

2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART) Pub Date : 2021-12-08 DOI: 10.1109/BioSMART54244.2021.9677766

Hyunjae Jeong, Jinwoo Kim, Kwangtaek Kim

{"title":"Programmable and Portable Vibrotactile Feedback for Intuitive Virtual Grasping: A Preliminary Study Towards Upper Limb Rehabilitation","authors":"Hyunjae Jeong, Jinwoo Kim, Kwangtaek Kim","doi":"10.1109/BioSMART54244.2021.9677766","DOIUrl":"https://doi.org/10.1109/BioSMART54244.2021.9677766","url":null,"abstract":"Wearable hand exoskeleton systems have been developed with virtual reality (VR) and force feedback for upper limb rehabilitation. However, force feedback does not provide intuitive guidance feedback regarding state of a virtual object grasping. To address this issue, we developed vibrotactile feedback interface to provide more intuitive way of guidance feedback for a virtual grasping task. This initial study began by implementing haptic driver circuit to drive two different types of haptic actuators, linear resonant motors (LRMs) and coin brushless motors (CBMs), with AD9850 signal generator that uses advanced direct digital synthesis (DDS) theory and L298N (H-bridge motor driver). Based on a pilot study, we determined identifiable frequencies and amplitudes for LRMs and pulse width modulation (PWM) for CBMs to design vibrotactile patterns with haptic actuators and adequate intensity of a haptic glove force. With five conditions, four vibrotactile feedback conditions with two vibration patterns and one force feedback condition with the haptic glove, we focused on which conditions provide more intuitive guidance feedback when grasping the virtual eggshell without breaking. From both quantitative and qualitative results, the results demonstrated that vibrotactile feedback provides more intuitive guidance feedback than force feedback in the virtual grasping task.","PeriodicalId":286026,"journal":{"name":"2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130140894","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: 2

In silico study of sensitivity of polymeric prism-based surface plasmon resonance sensors based on graphene and molybdenum disulfide layers 基于石墨烯和二硫化钼层的聚合物棱镜表面等离子体共振传感器灵敏度的硅研究

2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART) Pub Date : 2021-12-08 DOI: 10.1109/BioSMART54244.2021.9677846

A. A. Melo, E. P. Rodrigues, A. Lima

引用次数: 2

A Social Robot with Conversational Capabilities for Visitor Reception: Design and Framework 具有访客接待会话能力的社交机器人:设计与框架

2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART) Pub Date : 2021-12-08 DOI: 10.1109/BioSMART54244.2021.9677852

K. Youssef, S. Said, T. Beyrouthy, S. Alkork

引用次数: 3

MICSurv: Medical Image Clustering for Survival risk group identification MICSurv:用于生存风险组识别的医学图像聚类

2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART) Pub Date : 2021-12-08 DOI: 10.1109/BioSMART54244.2021.9677838

G. Marinos, Chrvsostomos Symvoulidis, D. Kyriazis

引用次数: 1

System-Level Modeling of a Safe Autonomous Closed-loop Epileptic Seizure Control Implant 一种安全自主闭环癫痫发作控制植入物的系统级建模

2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART) Pub Date : 2021-12-08 DOI: 10.1109/BioSMART54244.2021.9677729

Keyvan Farhang Razi, Mohammad Javad Karimi, C. Dehollain, Alexandre Schmid

引用次数: 6

An Advanced Machine Learning Algorithm For Intensive Care Decisions Of COVID-19 Patients 一种用于COVID-19患者重症监护决策的先进机器学习算法

2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART) Pub Date : 2021-12-08 DOI: 10.1109/BioSMART54244.2021.9677790

Kevin Zhao, Kevin Qi, Daniel Che, M. Shalaginov, Tingying Helen Zeng, Megan Pugach-Gordon

{"title":"An Advanced Machine Learning Algorithm For Intensive Care Decisions Of COVID-19 Patients","authors":"Kevin Zhao, Kevin Qi, Daniel Che, M. Shalaginov, Tingying Helen Zeng, Megan Pugach-Gordon","doi":"10.1109/BioSMART54244.2021.9677790","DOIUrl":"https://doi.org/10.1109/BioSMART54244.2021.9677790","url":null,"abstract":"COVID-19, an infectious respiratory disease, is a global health crisis and severely taxed healthcare systems. The SARS-CoV-2 virus damages lungs and other vital organs and even causes acute respiratory distress syndrome (ARDS). Currently, intensive care, including supplemental oxygen and ventilation, is used to treat severe cases. In this project, a Machine Learning algorithm was developed to predict intensive care needs for patients in the early stage of Covid-19. An advanced convolutional neural network (CNN) model was trained for image classification based on patient chest x-rays. After studying and comparing the performance of several advanced models, including Inception V3,ResNet50, Xception, EfficientNetB0, EfficientNetB7 and VGG16, It is identified that Inception V3showed the highest accuracy of the prediction. Based on Inception V3,an algorithm that demonstrates the highest accuracy of over 99% on both validation and testing datasets has been developed. The algorithm accurately makes predictions for which patients need immediate intensive care, so as to help the COVID19 patients” recovery and save more lives.","PeriodicalId":286026,"journal":{"name":"2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116109349","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

Laryngeal Cancer Lesion Segmentation in P63 Immunohistochemically Stained Histology Images P63免疫组织化学染色组织学图像中喉癌病变的分割

2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART) Pub Date : 2021-12-08 DOI: 10.1109/BioSMART54244.2021.9677811

Ibtihaj Ahmad, Z. Islam

{"title":"Laryngeal Cancer Lesion Segmentation in P63 Immunohistochemically Stained Histology Images","authors":"Ibtihaj Ahmad, Z. Islam","doi":"10.1109/BioSMART54244.2021.9677811","DOIUrl":"https://doi.org/10.1109/BioSMART54244.2021.9677811","url":null,"abstract":"In 2017, 1.09 million active laryngeal cancer cases were reported globally, increasing 23.8% in the last three decades. Hematoxylin and eosin (H&E) stained histological analysis is used as a gold standard for diagnosing and staging H&N cancers. Recent studies showed the effectiveness of P63 stain along with H&E stain. Histological analysis of H&E and P63 stained images is performed manually by a pathologist in current medical practices. This process is tiresome and requires specialized skills. The primary factor that the process is manual is that P63 staining is a new technique, which has been developed recently. The second factor is the lack of an available dataset in the recent past. We present an automatic system for laryngeal cancer lesion segmentation in H&E and p63 stained images. The proposed method is an encoder-decoder-based UNet++. We have used MEDISP HICL dataset for training and testing of the proposed network. To our knowledge, only one attempt for this purpose exists in the literature. The proposed network has shown superior accuracy, dice score, and MeanIoU, 95.37%, 87.82, and 0.7868, respectively.","PeriodicalId":286026,"journal":{"name":"2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART)","volume":"283 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123554415","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

Software Defect Prediction Approaches: A Review 软件缺陷预测方法综述

2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART) Pub Date : 2021-12-08 DOI: 10.1109/BioSMART54244.2021.9677869

Zainab S. Alharthi, A. Alsaeedi, W. Yafooz

引用次数: 0

Highly Efficient Plasma Separation on Centrifugal Microfluidic Platform 离心微流控平台的高效等离子体分离

2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART) Pub Date : 2021-12-08 DOI: 10.1109/BioSMART54244.2021.9677797

Yuxing Shi, Jinhong Guo, P. Ye, Jiawen Xie, Chuang Wang, Bayin Qiaoge

{"title":"Highly Efficient Plasma Separation on Centrifugal Microfluidic Platform","authors":"Yuxing Shi, Jinhong Guo, P. Ye, Jiawen Xie, Chuang Wang, Bayin Qiaoge","doi":"10.1109/BioSMART54244.2021.9677797","DOIUrl":"https://doi.org/10.1109/BioSMART54244.2021.9677797","url":null,"abstract":"With the increasing demand for rapid diagnosis of diseases, point of care testing has become a hot research topic. In the process of clinical diagnosis, blood separation is the first step of blood detection, and the separation efficiency directly affects the subsequent detection performance. In this article, an automated centrifugal microfluidic platform for blood separation was proposed. Different from the traditional separation structure based on curved separation channel leading out of bifurcation intersection. This platform is based on structure of multi-chambers and multi-microchannels, including a microchannel network composed of two collecting reservoirs close to each other (collinear with the connecting line of the center of the circle), a curved siphon microchannel and a branched microchannel for excess blood. Under the cooperation of the upper computer and the hardware instrument, plasma with high purity can be obtained and the process of separation can be achieved automatically and fast by simply clicking the button. Finally, plasma purity of 99% and plasma recovery rate of 32.5% are achieved in 50 seconds, which provides a new prospect for rapid, automatic and highly sensitive blood diagnostic applications in resource-limited areas.","PeriodicalId":286026,"journal":{"name":"2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART)","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120948964","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