Biosignal data platform
Turn scattered experiment data into a research asset.
A cloud research platform that stores biosignal data in a standard structure and lets you search, manage, analyze, and share it by experiment.
03Store
One data flow, from collection to sharing
Experiment data is managed consistently so that structure and analytical context survive a change of researcher
- 01
Collect
Upload data from measurement devices and existing files.
- 02
Standardize
Organize experiment, participant, and signal information into a common structure.
- 03
Search
Find the datasets you need by condition and metadata.
- 04
Analyze
Review data characteristics with event-based descriptive statistics.
- 05
Share
Research teams and partner organizations work from the same data context.
Only the screens you need to find and understand data
Search results and data summaries are kept separate, so you can judge what matters even in large datasets
Three steps and your first experiment is up
Sign up, create an experiment, upload the files — the summary is built for you
Keep the research context, not just the files
Structure who was measured, under which conditions and with which signals so the dataset remains understandable when team members change
- Experiment
- Research objective, protocol, recording date and owner
- Participant
- Participant attributes and coded identifiers required for analysis
- Signal
- Signal type, channels, units, sampling conditions and equipment
- Conditions
- Cohort, session, stimulus and events used to interpret results
If your research gets harder as the data piles up
See the data structure and collaboration flow for yourself in Biosignal Datahub.
Go to the platform