title: Bio-signal analysis system design with support vector machines based on cloud computing service architecture.
abstract: Today, many bio-signals such as Electroencephalography (EEG) are recorded in digital format. It is an emerging research area of analyzing these digital bio-signals to extract useful health information in biomedical engineering. In this paper, a bio-signal analyzing cloud computing architecture, called BACCA, is proposed. The system has been designed with the purpose of seamless integration into the National Taiwan University Health Information System. Based on the concept of. NET Service Oriented Architecture, the system integrates heterogeneous platforms, protocols, as well as applications. In this system, we add modern analytic functions such as approximated entropy and adaptive support vector machine (SVM). It is shown that the overall accuracy of EEG bio-signal analysis has increased to nearly 98% for different data sets, including open-source and clinical data sets.
authors.affiliation: Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, 10617, Taiwan. b89505018@ntu.edu.tw
authors.forename: Chia-Ping
authors.initials: CP
authors.lastname: Shen
authors.forename: Wei-Hsin
authors.initials: WH
authors.lastname: Chen
authors.forename: Jia-Ming
authors.initials: JM
authors.lastname: Chen
authors.forename: Kai-Ping
authors.initials: KP
authors.lastname: Hsu
authors.forename: Jeng-Wei
authors.initials: JW
authors.lastname: Lin
authors.forename: Ming-Jang
authors.initials: MJ
authors.lastname: Chiu
authors.forename: Chi-Huang
authors.initials: CH
authors.lastname: Chen
authors.forename: Feipei
authors.initials: F
authors.lastname: Lai
mesh_terms: D000465:Algorithms; D003195:Computer Communication Networks; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000175:diagnosis*; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted