'rokit' 검색 결과

Helps build and review NeuroKit2 research workflows for physiological recordings such as ECG, respiration, and skin conductance. Covers preprocessing, time alignment, event analysis, heart rate variability, and complexity measures, while recording methods and checking data quality.

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• Inspect physiological recordings before preprocessing
• Analyze ECG and heart rate variability for research
• Plan event windows and baseline correction

Operating Rojo — the filesystem-to-Roblox-Studio sync tool for professional Roblox development in VS Code / Claude Code instead of the Studio editor. Use this skill whenever Rojo is involved: `rojo serve`/`rojo build`, writing or debugging `default.project.json`, rokit/rokit.toml and tool versions (Rojo, Lune, Wally), nested vs. flat path mapping (ReplicatedStorage.Project.shared), connect/port/sync problems, or when a Roblox project skeleton needs to be created. Also trigger on "rojo connect not working", "scripts end up in the wrong place in Studio", "how do I map src/ to Studio", "port 34872 in use", "ModuleScript vs Script in Rojo".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Neurophysiological signal processing for ECG, EEG, EMG, and more

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Python toolkit for neurophysiological signal processing: ECG (HR, HRV, R-peaks), EEG (complexity, PSD), EMG (activation onset), EDA/GSR (SCR decomposition), PPG, and RSP. Includes synthetic signal simulation. Alternatives: BioSPPy (less maintained), MNE (EEG/MEG specialist), heartpy (ECG only), scipy.signal (raw DSP).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.