Web Services Based Bio-signal System Leveraging Support Vector Machines

Author

Hsieh, Sung-Huai ; Hsieh, Sheau-Ling ; Shen, Chia-Ping ; Chen, Wei-Hsin ; Cheng, Po-Hsun ; Hsu, Kai-Ping ; Chen, Chi-Huang ; Lai, Feipei

Author_Institution

Infomation Syst. Office, Nat. Taiwan Univ. Hosp., Taipei, Taiwan

fYear

2009

fDate

22-24 June 2009

Firstpage

254

Lastpage

259

Abstract

Bio-signal analysis is one of the most important approaches to biomedical engineering. The health information such as ECG, PCG, EMG and EEG are often recorded in digital format to be analyzed. In this paper, a bio-signal analyzing Web service system using Support Vector Machines (SVM) classifier technique is proposed. The bio-signals are recorded in digital format as the input of the system. In addition, based on the concept of Service-Oriented Architecture (SOA), the system under Web services .NET is designed. The system provides features including heterogeneous platform, protocols, as well as applications. The system has been designed with the purpose of seamless integration into the Health Information System.

Keywords

Web services; medical information systems; medical signal processing; network operating systems; signal classification; support vector machines; .NET; Web service system; bio-signal analysis; biomedical engineering; health information system; service-oriented architecture; signal processing; support vector machine classifier technique; Biomedical engineering; Electrocardiography; Electroencephalography; Electromyography; Information analysis; Protocols; Service oriented architecture; Support vector machine classification; Support vector machines; Web services; Bio-signal; ECG; EEG; Support Vector Machine; Web Services;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and BioEngineering, 2009. BIBE '09. Ninth IEEE International Conference on

Conference_Location

Taichung

Print_ISBN

978-0-7695-3656-9

Type

conf

DOI

10.1109/BIBE.2009.71

Filename

5211267