18 Limited Gracel Series .avi
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Diagnosing, quantifying, and treating sleep disorders is one of the most difficult challenges for sleep medicine. S, PS, and PSMATRIX programs are tools for the quantitative analysis of polysomnographic data. These programs read in a time-stamped event file, which is either a standard EEG file or a file generated by a digital polysomnograph. PS and PSMATRIX are similar in that they both use the same core of algorithms. PSMATRIX is slightly more general than PS. The S program implements a fully automated analysis of sleep-to-wake transitions. PS and PSMATRIX read in a single file containing the sleep stages (NREM, SWS, REM), scored by expert computer analysis, and all the events that occur during the sleep period. In PS, PSMATRIX, and S, the file may be any of the following: (1) a standard EEG file, which is then analyzed in stages; (2) a file created by a digital polysomnograph, which is then analyzed in stages; or (3) a customized file containing the results of the automated scoring of the file in stages, in addition to the results of the automated scoring of the sleep stages. S, PS, and PSMATRIX automatically identify stages, epochs, and events during the sleep period, and generate reports which provide descriptive statistics, graphics, and thresholds for making conclusions about the data. S, PS, and PSMATRIX are written in C. A series of UNIX shell scripts which interface the S, PS, and PSMATRIX programs to a polysomnograph, EEG, or custom file are included with the S and PS programs. The PSMATRIX program is written in C. PS, PSMATRIX, and S are available to the public free of charge in the PostScript format. The standard distribution medium for these programs is one.25 inch streaming magnetic tape cartridge in UNIX tar format. PS, PSMATRIX, and S require a main memory of at least 48K. S requires at least 64K of main memory.
A template of the TSDS data model is available at ( http://www.ndbc.noaa.gov/tsds/TSDS_NcML_Template.nc ). The data model defines a set of variables that are predefined and can be used by the server or the client, or by both. It is built around the NetCDF Network Common Data Model (NCOMM) (NCOMM,,). Each variable in the data model is defined by its name, type, and format. The naming and type are assumed to be self-explanatory. The format defines the data content of the variable and is further limited by the data types that the toolkit supports. For instance, NcML requires that all variables used in a time series be a type of sequence. The TSDS server is therefore limited to data in this format. In addition, the server is limited by the fact that it was designed to access NetCDF files.
The TSDS server is available in a variety of components, including the TSDS application server, a manual and web documentation of use. The TSDS application server provides all of the functionality that a user might require to manage a time series data server. In addition, it provides code that generates the NcML toolkit from a set of input files. 827ec27edc