openmedical/registry
← registry

biomedical-signal-forensics-lab

imported

software/biomedical-signal-forensics-lab

An open-source toolkit for auditing wearable physiological signals: signal quality, algorithmic fairness, causal sensitivity, and downstream-task impact.

Machine-generated from the listed sources and not yet reviewed by a human.

biomedical-signal-forensics-lab project image
GitHub preview card for ceyhunolcan/biomedical-signal-forensics-lab. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
algorithmic-fairness · causal-inference · digital-health · ecg · hrv · methodology-audit · ppg · reproducible-research · signal-quality · wearable-sensors · wesad
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • fecgsynecg · signal-quality

    FECGSYN toolbox for ECG and fetal ECG simulation

  • vitallens.jshrv · ppg

    JavaScript package for estimation of vital signs such as heart rate, HRV, and respiratory rate from face video.

  • systoleecg · hrv · ppg

    Systole: A python package for cardiac signal synchrony and analysis

  • Temporary Tattoo Electrodes Devicewearable-sensors · ecg

    The repository contains the HW, FW and SW needed to build and operate stand-alone magnetically docking devices for Temporary Tattoo Electrodes interface. All material is available as open source…

  • cardio-rsecg · hrv

    HRV metrics from PPG/ECG Rust Crate

  • physiodspecg · hrv

    A comprehensive Python library for processing and analyzing physiological sensor data

sources
  1. api.github.com/repos/ceyhunolcan/biomedical-signal-forensics-lab
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-06-02, 3 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as MIT, because GitHub's detector does not recognise open hardware licences.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/2.json→ .entries["biomedical-signal-forensics-lab"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.