2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)最新文献_第6页

A Reworked SOBI Algorithm Based on SCHUR Decomposition for EEG Data Processing 基于SCHUR分解的改进型SOBI脑电数据处理算法

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2017-06-01 DOI: 10.1109/CBMS.2017.88

Gregory A Kalogiannis, Karampelas Nikolaos, G. Hassapis

引用次数: 5

Visual Role in the Dynamic Postural Balance Due to Aging-Assessment by Using an Augmented Reality Perturbation System 视觉在年老动态姿势平衡中的作用——基于增强现实摄动系统的评估

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2017-06-01 DOI: 10.1109/CBMS.2017.142

Chun-Ju Chang, Saiwei Yang, Jen-Suh Chern, Tsui-Fen Yang

{"title":"Visual Role in the Dynamic Postural Balance Due to Aging-Assessment by Using an Augmented Reality Perturbation System","authors":"Chun-Ju Chang, Saiwei Yang, Jen-Suh Chern, Tsui-Fen Yang","doi":"10.1109/CBMS.2017.142","DOIUrl":"https://doi.org/10.1109/CBMS.2017.142","url":null,"abstract":"The sensorimotor modulation is degenerated due to aging, and it may cause the elderly falling in a daily activity. The clinical balance assessments, somatosensory test, muscle strength and the joint motion measurement are usually applied to evaluate the falling potential in the aged population. Nevertheless, the ceiling effect is found among the sub-healthy elderly who has a highly functional mobility but a potential risk of falling. Therefore, virtual-reality based scene combined with the continuously perturbed platform was used in this study to investigate the visual effect in cortical modulation in responding to the degenerated sensorimotor biofeedback. A total of 30 healthy participants (fourteen young adults, and sixteen elderly) without any known defects were recruited in this study. The results concluded that vision plays a significant factor in restoring the postural stability in the complicated sensorimotor task. The young adults performed a dynamic and rhythmic postural response strategy with lower cortical excitation to maintain stability during the disturbance. The sensorimotor integration training programs are especially significant to the aging population in order to improve the neuromuscular coordination and to foreclose the potential of fall risk.","PeriodicalId":141105,"journal":{"name":"2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114382601","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

Overlap Detection for a Genome Assembly Based on Genomic Signal Processing 基于基因组信号处理的基因组序列重叠检测

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2017-06-01 DOI: 10.1109/CBMS.2017.140

Robin Jugas, K. Sedlář, Martin Vítek, Helena Skutková

引用次数: 0

HEAR?INFO: A Modern Mobile-Web Platform Addressed to Hard-of-Hearing Elderly Individuals 听到了吗?信息:一个面向老年听障人士的现代移动网络平台

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2017-06-01 DOI: 10.1109/CBMS.2017.168

Penelope Konstantina Ioannidou, P. Katrakazas, S. Kollias, Michail Sarafidis, D. Koutsouris

引用次数: 0

Wavelet Based Classification of Epileptic Seizures in EEG Signals 脑电信号中基于小波的癫痫发作分类

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2017-06-01 DOI: 10.1109/CBMS.2017.116

Katerina D. Tzimourta, L. Astrakas, M. Tsipouras, N. Giannakeas, A. Tzallas, S. Konitsiotis

引用次数: 18

User and Stakeholder Requirements of eHealth Support Tool Viewed In a Self-Determination Theory Lens 用户和利益相关者需求的电子健康支持工具在自决理论的镜头

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2017-06-01 DOI: 10.1109/CBMS.2017.152

Stian Jessen, Jelena Mirkovic, C. Ruland

引用次数: 3

Rehabilitation Biofeedback Using EMG Signal Based on Android Platform 基于Android平台的肌电信号康复生物反馈

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2017-06-01 DOI: 10.1109/CBMS.2017.101

Mazen Yassin, Hussein Abdallah, Amro Anwer, Abubakr Mustafa, Ashraf Mahroos

引用次数: 3

Towards an Effective and Efficient Learning for Biomedical Data Classification 面向生物医学数据分类的有效学习

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2017-06-01 DOI: 10.1109/CBMS.2017.54

Guilherme Camargo, R. S. Bressan, P. Bugatti, P. T. Saito

{"title":"Towards an Effective and Efficient Learning for Biomedical Data Classification","authors":"Guilherme Camargo, R. S. Bressan, P. Bugatti, P. T. Saito","doi":"10.1109/CBMS.2017.54","DOIUrl":"https://doi.org/10.1109/CBMS.2017.54","url":null,"abstract":"Nowadays a huge volume of biomedical data (images, genes, etc) are daily generated. The interpretation of such data involves a considerable expertise. The misinterpretation and/or misdetection of a suspicious clinical finding leads to increasing the negligence claims, and redundant procedures (e.g. biopsies). The analysis of biomedical data is a complex task which are performed by specialists on whose expertise degree affects the accuracy of their diagnosis. Besides, due to the huge volume of data, it is a tiresome process. To mitigate these intrinsic drawbacks Computeraided Diagnosis approaches have been proposed in the last decade, but applied without a deep analysis. It is also very common in the literature for the presentation of experimental results to rely solely on the mean of accuracy values. This procedure is not always reliable, especially for applications that require faster classifiers due to their learning-time constraints. Hence, in this paper we proposed an extensive analysis towards an effective and efficient learning for biomedical data classification. To do so, several public biomedical datasets were used against different supervised classifiers, taking into account accuracies and computational times obtained throughout the learning process.","PeriodicalId":141105,"journal":{"name":"2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126796964","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

A Versatile Architecture for Building IoT Quantified-Self Applications 构建物联网量化自我应用的通用架构

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2017-06-01 DOI: 10.1109/CBMS.2017.80

A. Menychtas, C. Doukas, P. Tsanakas, Ilias Maglogiannis

引用次数: 15

Integrated Decision Support by Combining Textual Information Extraction, Facetted Search and Information Visualisation 结合文本信息提取、分面搜索和信息可视化的综合决策支持

2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) Pub Date : 2017-06-01 DOI: 10.1109/CBMS.2017.119

Daniel Sonntag, H. Profitlich

引用次数: 3