Leveraging stream processing engines in support of physiological data processing
Over the last decade, there has been an exponential growth in unbounded streaming data generated by sensing devices in different settings including the Internet-of-Things. Several frameworks have been developed to facilitate effective monitoring, processing, and analysis of the continuous flow of streams generated in such settings. Real-time data collected from patient monitoring systems, wearable devices etc. can take advantage of stream processing engines in distributed computing environments to provide better care and services to both individuals and medical practitioners. This thesis proposes ...
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