openmedical/registry
← registry

LowLatencyEEGFiltering

imported

software/lowlatencyeegfiltering

Classical and neural network-based real-time filtering algorithms of EEG data

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

LowLatencyEEGFiltering project image
GitHub preview card for ivsemenkov/LowLatencyEEGFiltering. 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
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
eeg · neural-networks · signal-processing · time-series
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.

  • Analyzing_Neural_Time_Serieseeg · signal-processing · time-series

    python implementations of Analyzing Neural Time Series Textbook

  • EEG_real_time_seizure_detectioneeg · signal-processing · time-series

    Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)

  • NeuroScopeeeg · neural-networks · 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.

  • false.alarmsignal-processing · time-series

    PhD Programme in Health Data Science - detecting life-threatening ECG patterns using low-end devices

  • DDALABeeg · time-series

    DDALAB is a software platform for analyzing physiological time-series data using Delay Differential Analysis (DDA).

  • DETRtimeeeg · time-series

    DETRtime, a framework for time-series segmentation

sources
  1. api.github.com/repos/ivsemenkov/LowLatencyEEGFiltering
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-05-07, 24 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/30.json→ .entries["lowlatencyeegfiltering"]

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