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Vivonetics Vivosense Sync und Merge Module
VivoSense Synchronization and Merge module solves the sensor integration problem by streamlining the process of integrating and aligning files from multiple simultaneous sensor recordings. VivoSense Synchronization and Merge module provides tools to visually align data from different data streams, and then synchronize them using either annotations, a simple point and click operation, or automatically, by quickly and accurately analyzing the data content to find the best match.
SYNCHRONIZATION
- Point Synchronization:This is the simplest synchronization method. Allowing for a manual identification of the same point on the different data stream channels. Point synchronization is ideal for synchronize channels with the same type of data (e.g. ECG channels) and with easily identifiable points.
- Annotation Synchronization: This method uses common, existing hardware or software annotations (events) in the data streams as guides for alignment. Annotation Synchronization allows quick and easy identification of the best synchronization points in the separate data streams.
- Intelligent Synchronization: Performs automatic scanning through pairs of channels in order to find the optimal synchronization point. With Intelligent synchronization algorithms, VivoSense searches through each data stream or a specified region of the data stream to find the best time shift for each session. More than two files can be intelligently synchronized at once, saving substantial time and effort when working with more than two simultaneous recordings.
MERGE
Quickly merge only the desired channels across multiple recordings, and then combine them into a single, time-synchronized file. The Merge algorithm checks for and eliminates duplicate channel names to avoid channel overlap and create a seamless single file. Seamlessly merge hardware and software annotations (events) from all data streams into the single file. The resulting merged file may be analyzed, visualized and shared within the VivoSense software as well as synchronized with additional data streams.
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