PhysioWave
importedsoftware/physiowave
[NeurIPS 2025] PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/ForeverBlue816/PhysioWave
- Documentation
- unknown
- Tags
- biosignals · deep-learning · ecg · eeg · emg · foundation-models · neurips-2025
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- brainflowbiosignals · ecg · eeg · emg
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
- neurofusion-emotion-fatigue-detectionbiosignals · ecg · eeg · emg
Multimodal AI framework for emotion and fatigue detection using EEG, fNIRS, ECG, and EMG biosignals with machine learning and deep learning techniques.
- NeuroKitbiosignals · ecg · eeg · emg
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
- NeuroKit.pybiosignals · ecg · eeg · emg
A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
- BioRec-Onebiosignals · ecg · eeg · emg
A DIY single-channel biopotential recorder for ECG/EMG/EEG, built with discrete components.
- BrainFlowAndroidTestecg · eeg · emg
App for BrainFlow developers to test it on Android
- api.github.com/repos/ForeverBlue816/PhysioWaveretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-10-20, 190 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 →
/v1/entries/56.json→ .entries["physiowave"]
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