Procoder for Digital Video (ProcoderDV) was developed at the John F. Kennedy Center at Vanderbilt University to facilitate the collection of different forms of observational data from digital media files. Media files can be any files that contain events of interest on digital video or audio files. Data files can be of two general types: event files or transcription files. Files can be exported into MOOSES (Tapp & Wehby, 1995) format or SALT (Miller & Chapman, 1993) format or can be read directly by many popular statistical or spreadsheet programs. A code file can be used in conjunction with ProcoderDV to guide the coder inmarking events for later quantification and analysis.
The FACT toolsuite assists engineers working with complex aerospace systems to design and implement control systems that can maintain control even when the controlled system "fails." The tool suite uses a model-based approach where the designer creates design models of the plant and its associated control system, and the tools automatically generate code that implements fault-detection, isolation and control reconfiguration functions.
Interval Manager (INTMAN) is a computer-assisted alternative to traditional paper and pencil methods for collecting fixed interval time sampled observational data. The INTMAN data collection software runs on Pocket PC hand held computers and includes a desktop application for Microsoft Windows that is used for data analysis. Standard analysis options include modified frequencies, percent of intervals, conditional probabilities, and Kappa agreement matrices and values.
MOOSES (Multi-Option Observation System for Experimental Studies). This software system makes it easy to collect and analyze data about any type of real time events. Data can be collected using your PC, a laptop, A handheld PC, or a PocketPC and later analyzed on several dimensions. Data collected from digital audio and video files using ProcoderDV can also be analyzed using MOOSES. This type of data can help you make accurate assessment of what is happening in the real time system you are observing. Several analysis options are provided and described at the website.
Robust and accurate sensor fusion algorithm using time of arrival data for acoustic event localization. The fusion algorithm compensates for incorrect measurements including multipath effects. The algorithm is capable of localizing multiple simultaneous sources with a high degree of accuracy.
This technology addresses the problem of designing and implementing online monitoring and diagnosis systems for complex hybrid systems by focusing on faults that occur in plant components and contains models where faults are represented by changes in system parameters. Hybrid systems are common in the avionics, spacecraft, automotive and robotics domains where behavior is characterized by continuous plant dynamics and discrete supervisory control. These hybrid systems require a tool that analyzes and seamlessly integrates multiple system models on a discrete and continuous basis. As a result, tasks like monitoring, fault diagnosis and control require model selection and switching to be performed online as system behavior evolves.
Contextualized feedback intervention and training protocol is a form assessment. It enables behavioral healthcare practitioners to assess and categorize the behavioral health status of patients in a mental health context. It also provides a training protocol for providers.
ListVUe is a software tool that permits the expeditious search of the United States Department of Commerce Export Control with a higher degree of accuracy than is currently available. This product is designed for any company or institution which is required to comply with U.S. export control laws and regulations.
Vanderbilt researchers and clinicians have developed a database and web application that tracks unborn fetuses as a separate patient population. Traditionally unborn fetuses are monitored and tracked for abnormalities and all of their information and documentation is placed within the mother's medical chart. This program creates a separate medical file for the unborn fetus that is linked to the maternal medical file. This system allows clinicians to easily sort and track unborn fetus abnormalities and easily identify treatment options that have shown to be beneficial to that patient population, ultimately improving clinical outcomes.
This program permits the automatic registration (spatial realignment) of 2D and 3D mono- and multi-modal medical images. In its current form it uses Mutual Information as the similarity measure. It supports multi-resolution schemes and transformations up to 12 degrees of freedom.
Simon (Signal Interpretation and Monitoring) is an ongoing research and development effort at Vanderbilt University. Simon's overall goal is to provide effective computerized medical decision support in critical care through novel collection, analysis, and presentation of physiologic data from bedside medical devices.