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Sahoo, S. S., Jayapandian, C., Garg, G., Kaffashi, F., Chung, S., Bozorgi, A., ... & Zhang, G. Q. (2014). Heart beats in the cloud: distributed analysis of electrophysiological ‘Big Data’using cloud computing for epilepsy clinical research. Journal of the American Medical Informatics Association, 21(2), 263-271.
Sahoo, Satya S., et al. "Heart beats in the cloud: distributed analysis of electrophysiological ‘Big Data’using cloud computing for epilepsy clinical research." Journal of the American Medical Informatics Association 21.2 (2014): 263-271.
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SS Sahoo, C Jayapandian, G Garg… - … Medical Informatics …, 2014 - academic.oup.com

Heart beats in the cloud: distributed analysis of electrophysiological 'Big Data' using cloud computing for epilepsy clinical research.

Computer and Information Science and Engineering Minority-Serving Institutions Research Expansion Program AND Program Evaluation

Garg, Sahoo

GSID: y_BKZZT1nHYJ

Excerpt

Objective The rapidly growing volume of multimodal electrophysiological signal data is playing a critical role in patient care and clinical research across multiple disease domains, such as epilepsy and sleep medicine. To facilitate secondary use of these data, there is an urgent need to develop novel algorithms and informatics approaches using new cloud computing technologies as well as ontologies for collaborative multicenter studies. Materials and methods We present the Cloudwave platform, which (a) defines parallelized algorithms …

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