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. 2013:192:817-21.

Electrophysiological signal analysis and visualization using Cloudwave for epilepsy clinical research

Catherine P Jayapandian  1 , Chien-Hung Chen, Alireza Bozorgi, Samden D Lhatoo, Guo-Qiang Zhang, Satya S Sahoo
Affiliations

Electrophysiological signal analysis and visualization using Cloudwave for epilepsy clinical research

Catherine P Jayapandian et al. Stud Health Technol Inform. 2013.

Abstract

Epilepsy is the most common serious neurological disorder affecting 50-60 million persons worldwide. Electrophysiological data recordings, such as electroencephalogram (EEG), are the gold standard for diagnosis and pre-surgical evaluation in epilepsy patients. The increasing trend towards multi-center clinical studies require signal visualization and analysis tools to support real time interaction with signal data in a collaborative environment, which cannot be supported by traditional desktop-based standalone applications. As part of the Prevention and Risk Identification of SUDEP Mortality (PRISM) project, we have developed a Web-based electrophysiology data visualization and analysis platform called Cloudwave using highly scalable open source cloud computing infrastructure. Cloudwave is integrated with the PRISM patient cohort identification tool called MEDCIS (Multi-modality Epilepsy Data Capture and Integration System). The Epilepsy and Seizure Ontology (EpSO) underpins both Cloudwave and MEDCIS to support query composition and result retrieval. Cloudwave is being used by clinicians and research staff at the University Hospital - Case Medical Center (UH-CMC) Epilepsy Monitoring Unit (EMU) and will be progressively deployed at four EMUs in the United States and the United Kingdomas part of the PRISM project.

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Figures

Figure 1
Figure 1
Epilepsy and Seizure Ontology (EpSO)
Figure 2
Figure 2
Cloudwave Components and Workflow
Figure 3
Figure 3
Cloudwave Access through MEDCIS Web Interface
Figure 4
Figure 4
Cloudwave EDF Parser and Preprocessor modules
Figure 5
Figure 5
Cloudwave Query Selection Criteria
Figure 6
Figure 6
Cloudwave Rendering Module
Figure 7
Figure 7
Total time to render signals with increasing number of signals/page for increasing length of EEG recordings
Figure 8
Figure 8
Average Time for loading and rendering 60-min EEG recording for increasing number of signals/page
See this image and copyright information in PMC

References

    1. Cui L, Bozorgi A, Lhatoo SD, Zhang GQ, Sahoo SS. EpiDEA: Extracting Structured Epilepsy and Seizure Information from Patient Discharge Summaries for Cohort Identification; Proceedings of the American Medical Informatics Association (AMIA) Annual Symposium; 2012. - PMC - PubMed
    1. Sahoo SS, Zhao M, Luo L, Bozorgi A, Gupta D, Lhatoo SD, Zhang GQ. OPIC: Ontology-driven Patient Information Capturing System for Epilepsy. Proceedings of the American Medical Informatics Association (AMIA) Annual Symposium; Nov 2012; Chicago, IL. pp. 799–808. - PMC - PubMed
    1. Zhang GQ, Siegler T, Saxman P, Sandberg N, Mueller R, Johnson N, Hunscher D, Arbandi S. VISAGE: A Query Interface for Clinical Research. Proceedings of the 2010 AMIA Clinical Research Informatics Summit; March 12–13; San Francisco. 2010. pp. 76–80. - PMC - PubMed
    1. Fisch B. Chapter 7: Epilepsy and Intensive Care Monitoring: Principles and Practice. 2010
    1. Jain S. MS Thesis. Case Western Reserve University; 2011. Event-Driven Dynamic Query Model for Sleep Study Outcomes Research.

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