scientific-biosignal-processing
CommunityTurn biosignals into actionable insights.
Authornahisaho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This pipeline enables engineers and researchers to preprocess, extract features, and visualize biosignals such as ECG, EEG, EMG, and respiratory signals, reducing manual analysis time and enabling reproducible workflows.
Core Features & Use Cases
- ECG: detect R-peaks, compute HRV in time and frequency domains, and generate Poincaré plots.
- EEG: multi-channel band power, spectrograms, and ERP analysis.
- EMG: burst detection and envelope estimation.
- Respiratory signals: RSA analysis and respiration metrics.
- Use Case: rapid prototyping of a cardiac study, sleep EEG analysis, or gait EMG experiments with reusable pipelines.
Quick Start
Run the biosignal pipeline on a sample dataset to generate ECG HRV metrics, EEG band powers, and ERP/EMG analyses.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: scientific-biosignal-processing Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-biosignal-processing Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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