作者：
Naumann, TristanSilva, IkaroMIT
Comp Sci & Artificial Intelligence Lab Cambridge MA 02139 USA MIT
Lab Computat Physiol Cambridge MA 02139 USA
The physionetwaveformdatabase (WFDB) toolbox for MATLAB and Octave is a collection of functions for reading, writing, and processing physiologic signals and time series used by PhysioBank databases. Using the WFDB To...
详细信息
ISBN:
(纸本)9781479943463
The physionetwaveformdatabase (WFDB) toolbox for MATLAB and Octave is a collection of functions for reading, writing, and processing physiologic signals and time series used by PhysioBank databases. Using the WFDB toolbox, researchers have access to over 50 PhysioBank databases consisting of over 3TB of physiologic signals. These signals include ECG, EEG, EMG, fetal ECG, PLETH (PPG), ABP, respiration, and others. The WFDB toolbox provides support for local concurrency;however, it does not currently support distributed computing environments. Consequently, researchers are unable to utilize the additional resources afforded by popular distributed frameworks. The present work improves the scalability of the WFDB toolbox by adding support for distributed environments. An example is shown of surrogate data significance testing. The example uses Star-Cluster to launch, within minutes, Hadoop Streaming on a newly created Amazon EC2 cluster with minimum configuration. The results demonstrate up to 30 fold performance increases can be achieved compared to single node processing.
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