Web Services Based Bio-signal System Leveraging Support Vector Machines

Web Services Based Bio-signal System Leveraging Support Vector Machines

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 tec...

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Hauptverfasser: Sung-Huai Hsieh, Sheau-Ling Hsieh, Chia-Ping Shen, Wei-Hsin Chen, Po-Hsun Cheng, Kai-Ping Hsu, Chi-Huang Chen, Feipei Lai
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Bio-signal
Biomedical engineering
ECG
EEG
Electrocardiography
Electroencephalography
Electromyography
Information analysis
Protocols
Service oriented architecture
Support Vector Machine
Support vector machine classification
Support vector machines
Web services
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Zusammenfassung: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.
DOI:10.1109/BIBE.2009.71