CIOMP OpenIR  > 中科院长春光机所知识产出
A Multi-Sensor Data Fusion Approach for Atrial Hypertrophy Disease Diagnosis Based on Characterized Support Vector Hyperspheres
Zhu, Y. G.; D. Y. Liu; R. Grosu; X. H. Wang; H. Y. Duan and G. D. Wang
2017
发表期刊Sensors
卷号17期号:9
摘要Disease diagnosis can be performed based on fusing the data acquired by multiple medical sensors from patients, and it is a crucial task in sensor-based e-healthcare systems. However, it is a challenging problem that there are few effective diagnosis methods based on sensor data fusion for atrial hypertrophy disease. In this article, we propose a novel multi-sensor data fusion method for atrial hypertrophy diagnosis, namely, characterized support vector hyperspheres (CSVH). Instead of constructing a hyperplane, as a traditional support vector machine does, the proposed method generates "hyperspheres" to collect the discriminative medical information, since a hypersphere is more powerful for data description than a hyperplane. In detail, CSVH constructs two characterized hyperspheres for the classes of patient and healthy subject, respectively. The hypersphere for the patient class is developed in a weighted version so as to take the diversity of patient instances into consideration. The hypersphere for the class of healthy people keeps furthest away from the patient class in order to achieve maximum separation from the patient class. A query is labelled by membership functions defined based on the two hyperspheres. If the query is rejected by the two classes, the angle information of the query to outliers and overlapping-region data is investigated to provide the final decision. The experimental results illustrate that the proposed method achieves the highest diagnosis accuracy among the state-of-the-art methods.
收录类别sci ; ei
语种英语
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/59505
专题中科院长春光机所知识产出
推荐引用方式
GB/T 7714
Zhu, Y. G.,D. Y. Liu,R. Grosu,et al. A Multi-Sensor Data Fusion Approach for Atrial Hypertrophy Disease Diagnosis Based on Characterized Support Vector Hyperspheres[J]. Sensors,2017,17(9).
APA Zhu, Y. G.,D. Y. Liu,R. Grosu,X. H. Wang,&H. Y. Duan and G. D. Wang.(2017).A Multi-Sensor Data Fusion Approach for Atrial Hypertrophy Disease Diagnosis Based on Characterized Support Vector Hyperspheres.Sensors,17(9).
MLA Zhu, Y. G.,et al."A Multi-Sensor Data Fusion Approach for Atrial Hypertrophy Disease Diagnosis Based on Characterized Support Vector Hyperspheres".Sensors 17.9(2017).
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
A Multi-Sensor Data (1627KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhu, Y. G.]的文章
[D. Y. Liu]的文章
[R. Grosu]的文章
百度学术
百度学术中相似的文章
[Zhu, Y. G.]的文章
[D. Y. Liu]的文章
[R. Grosu]的文章
必应学术
必应学术中相似的文章
[Zhu, Y. G.]的文章
[D. Y. Liu]的文章
[R. Grosu]的文章
相关权益政策
暂无数据
收藏/分享
文件名: A Multi-Sensor Data Fusion Approach.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。