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B18-Wearables-Laboratory

imported

software/b18-wearables-laboratory

The B18 Biomedical Modelling and Monitoring (A10589) Wearables Laboratory, Department of Engineering Science, The University of Oxford.

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

B18-Wearables-Laboratory project image
GitHub preview card for apcreagh/B18-Wearables-Laboratory. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
eng.ox.ac.uk/people/andrew-creagh/
Repository
github.com/apcreagh/B18-Wearables-Laboratory
Documentation
unknown
Tags
ecg · eeg · gait · signal-processing
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.

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    GaitPy is an open-source Python package that implements several published algorithms in a modular framework for extracting clinical features of gait from a single accelerometer device mounted on the…

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  • NeuroScopeecg · eeg · signal-processing

    🔍 Visualize and analyze neural network execution in real-time for PyTorch, TensorFlow, and JAX. Enhance model insight with performance profiling and gradient tracking.

  • nnsptecg · eeg · signal-processing

    A Python library for signal processing with PyTorch. Useful for machine learning.

  • sigcleanecg · eeg · signal-processing

    SigClean is a comprehensive Python library for cleaning and preprocessing biomedical signals including ECG, EMG, EEG, and other physiological signals. It provides a complete toolkit for signal…

sources
  1. api.github.com/repos/apcreagh/B18-Wearables-Laboratory
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2023-02-06, 6 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

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/v1/entries/25.json→ .entries["b18-wearables-laboratory"]

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