OpenElectrophy
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An OpenElectrophy is a Clinical Data Management System that is a Python module for electrophysiology data analysis (intra- and extra-cellular).
- Example(s):
- …
- Counter-Example(s):
- EEGBase,
- LORIS,
- NeuroMat NES,
- XNAT.
- See: Patient Recruitment, Clinical Trial, Case Report Form, Patient Registry, Electronic Data Capture, Electronic Common Technical Document (eCTD), Drug Development, Clinical Quality Management System, Clinical Trial Management System.
References
2021a
- (Wikipedia, 2021) ⇒ https://en.wikipedia.org/wiki/Clinical_data_management_system Retrieved:2021-10-31.
- A clinical data management system or CDMS is a tool used in clinical research to manage the data of a clinical trial. The clinical trial data gathered at the investigator site in the case report form are stored in the CDMS. To reduce the possibility of errors due to human entry, the systems employ various means to verify the data. Systems for clinical data management can be self-contained or part of the functionality of a CTMS. A CTMS with clinical data management functionality can help with the validation of clinical data as well as helps the site employ for other important activities like building patient registries and assist in patient recruitment efforts.
2021b
- (NeuralEnsemble, 2021) ⇒ http://neuralensemble.org/OpenElectrophy/ Retrieved:2021-11-07.
- QUOTE: The OpenElectrophy project aims to simplify data- and analysis-sharing for intra- and extra-cellular recordings. In short with OpenElectrophy you will be able to play with neural signals, spikes and oscillations.
OpenElectrophy is a Python module for electrophysiology data analysis (intra- and extra-cellular). OpenElectrophy is built on top of Neo:
- It includes the powerful Neo IO that can read a large number of data formats (Plexon, NeuroExplorer, Spike2, TDT, Axon, BlackRock, ...)
- Neo objects ready for analyses (AnalogSIgnal, SpikeTrain, RecordingChannel, Segment, Block ...)
- QUOTE: The OpenElectrophy project aims to simplify data- and analysis-sharing for intra- and extra-cellular recordings. In short with OpenElectrophy you will be able to play with neural signals, spikes and oscillations.
- But OpenElectrophy also provides:
- A GUI for exploring datasets
- A complete offline spikesorting tool chain = GUI and/or command line.
- A timefrequency toolbox = fast wavelet scalogram plotting + transient oscillation in LFP detection.
- Viewers for Neo objects.
- A database for storage.
- But OpenElectrophy also provides: