Data management/Annotation software tools | Electrophysiology analysis
Find and compare the best bioinformatics software tools for navigating, sharing and collaboratively annotating image data sets of biological specimens obtained by electrophysiological devices. Tools are ranked by the biomedical research community.
Uses as a simple graphical application designed to help neurophysiologists manage their experimental recording parameters (e.g., number of channels and sampling rate of the acquisition system) and process their data (data filtering, spike extraction, PCA, etc.). NDManager is a part of the Neurosuite, a package designed to help neurophysiologists process and view recorded data in an efficient and user-friendly manner.
Stores a standard electrocardiogram (ECG) report and the digital source data by archiving both the graphical display and the raw waveform information within the same file. PDF-ECG is available through an online interface. It allows patients to preserve their own copy of the source data, similarly to what already regularly happens with other clinical exams.
Enables clinical data management. mEDC is a web based electronic data capture system offering flexible configuration, detailed reporting and query management. The software provides features such as eCRF creation, running of adaptive trials and implementation of protocol amendments. It can be integrated with third-party systems like IWRS, IVRS, CTMS, ePRO and drug safety systems.
Allows users to inspect and mark multi-channel digitized contents with no constraint concerning marking periods of data in subsets of channels. The EyeBallGUI interface simplifies users the management and the annotation of their experiments. Its flexibility allows the retention of more good quality bio-signal data and it facilitates marking of multi-channel bio-signals for other purposes not readily supported by existing toolboxes.
Allows users to plot multifocal electroretinography (mfERG) signals. mfERG_LAB is able to perform analysis and classify the signals using a neural network with a radial-basis-function (RBF) architecture. This tool includes features assisting researchers to execute diagnostic pathologies manifested through changes in mfERG signals in a single application. Furthermore, this program was utilized for categorizing mfERG signals for the purpose of diagnosing glaucomatous neuropathies.