EEG-Holter
EEG-Holter is designed for analysis of long-term EEG - Holter. Java developed, it supports medical and logbook anotations, epileptic events data, graphics and EDF files.
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EEG-Holter is designed for analysis of long-term EEG - Holter. Java developed, it supports medical and logbook anotations, epileptic events data, graphics and EDF files.
A Python function library to extract EEG feature from EEG time series in standard Python and numpy data structure. Features include classical spectral analysis, entropies, fractal dimensions, DFA, inter-channel synchrony and order, etc.
Proteus is a software technology that allows creating clinical executable decision support guidelines with little effort. There is a Proteus Intelligent Processes (PIP) Project Wiki available for the developers of the PIP open source project and others who are interested in learning more about Proteus. Proteus is composed of two sub-projects: Protean (Clinical Workflow Authoring Tool) and GreEd (Rule Authoring Tool).
OpenEMed is a set of distributed healthcare information service components built around the OMG distributed object specifications and the HL7 (and other) data standards and is written in Java for platform portability. We emphasize the interoperable service functionality that this approach provides in reducing the time it takes to build a healthcare related system. It is not intended as a turnkey system but rather a set of components that can be assembled and configured to meet a variety of tasks.
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
ADDIS is a software developed within the Dutch Escher-project for managing and analyzing clinical trial information.
ADDIS is a proof-of-concept system that allows us to simultaneously discover the possibilities of and the requirements on a database of structured clinical trials data. The automated discovery and (meta-)analysis of trial data, as well as benefit-risk assessment is supported.
ADDIS comes with two built-in examples:
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"DataServer is an open source XML gateway, specially tailored for the medical domain. DataServer is middleware, situated between clients and traditional Health Information Systems (HIS), Radiology Information Systems (RIS) and Picture Archive and Communication Systems (PACS). It supports relational (SQL), SOAP, and HTTP data sources out of the box, but is highly extensible for custom types."
The main goal of the Computer Assisted Search for Epidemics (CASE) project is to develop a reliable system that generates warnings when the number of reported cases of a particular infectious disease reaches a level that indicates an unusual or unexpected rate. The system is currently in use at the Swedish Institute for Infectious Disease Control (SMI). It performs daily surveillance using data obtained from the database to which all notifiable diseases are reported in Sweden.
The research project Net4Care's aim is to develop a ecosystem to make it easy for small and medium sized businesses (SMBs) to build telemedical applications for the home.
The main area of support within the present edition is handling clinical observations in the home and ensuring they become available for clinician's work.
The Net4Care framework helps in this by providing:
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