Verify data movement
File-integrity checks make transfer verification an explicit part of the workflow.
Project case study
From a finished recording to reviewable multimodal data.
A private Python workflow by Raquel Sandoval Ortega for verified recording transfers, physiological signal processing, sleep scoring and manual review.
My roleDeveloper
AvailabilityPrivate repository
Built withPython · Desktop workflows · Physiological signals
A desktop workflow connecting recording storage, electrophysiology processing and sleep-state review. This overview describes the project while its source code remains private.
- 01
Transfer
Check file integrity when moving sessions to storage.
- 02
Process
Prepare neural and cardiac signals.
- 03
Score
Use assisted sleep-state classification.
- 04
Review
Inspect results, adjust scoring and save the review.
The problem
Make the workflow usable.
A multimodal session continues long after acquisition ends. Files must reach storage intact, physiological signals need preparation, and automated analysis must lead to outputs a researcher can inspect and review.
My contribution
Connect science and software.
I developed an integrated workflow for session transfer, signal processing and assisted sleep scoring. Its design connects processing progress with interactive inspection so researchers can follow a session from recording files to reviewed outputs.
Design decisions
Built around the work researchers do.
Keep processing observable
Progress tracking helps researchers follow the steps applied to a session.
Keep human review in the loop
Assisted scoring is paired with manual review and visualisation, rather than treating automated labels as final.
Evidence
What is available to inspect.
The implemented workflow covers verified session transfers, neural and cardiac signal processing, assisted sleep scoring and manual review. The public portfolio describes these capabilities at a high level; repository access and source code are not publicly available.
Scope & limitations
What to check before using it.
Scoring and signal-processing outputs require review for the recording protocol, signal quality and biological question. No clinical-use claim, independent accuracy benchmark or general performance guarantee is made here.
For hiring teams
Experience behind the project.
Scientific data workflows, signal processing, task progress reporting and interfaces for reviewing automated analysis.