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onset-aligned-merged-parquet

Define semantic structure for onset-aligned merged parquet datasets at 1000 Hz.

Updated Aug 27, 2026
Search Tags:#time series#data processing#emg#force plate#perturbation task#step analysis
One-click install
npx skills add https://github.com/Rukkha1024/muscle_synergy_analysis --skill onset-aligned-merged-parquet
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: onset-aligned-merged-parquet
Source: https://github.com/Rukkha1024/muscle_synergy_analysis/tree/main/.agents/skills/onset-aligned-merged-parquet
Command: npx skills add https://github.com/Rukkha1024/muscle_synergy_analysis --skill onset-aligned-merged-parquet

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a standardized technical specification for processed time-series data from perturbation tasks, enabling consistent step vs. non-step analyses.

Core Features & Use Cases

  • Data Semantics: Defines keys, time axes, and nullability for onset-aligned merged parquet datasets.
  • Analysis Ready: Ensures data is structured for direct use in comparing step and non-step conditions.
  • Use Case: Researchers can use this specification to ensure their EMG and force plate data is correctly formatted and aligned to platform onset, facilitating reproducible scientific comparisons.

Quick Start

Use the onset-aligned-merged-parquet skill to understand the data structure for step vs non-step analysis.

Frequently Asked Questions about onset-aligned-merged-parquet

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure perturbation task data for step vs non-step analysis?▼

Perturbation task data for step vs non-step analysis requires an onset-aligned merged parquet dataset specifying keys, time axes, and nullability for identifiers, force plate, COP, COM, and EMG signals.

What is an onset-aligned merged parquet dataset for time series processing?▼

An onset-aligned merged parquet dataset is a standardized semantic structure for processed time-series data, typically sampled at 1000 Hz, ensuring alignment to platform onset for reproducible scientific comparisons.

Can I use this specification to format EMG and force plate data for reproducible comparisons?▼

Yes, this specification defines the EMG meta semantics and force plate column groups required to ensure your data is correctly formatted and aligned to platform onset for reproducible comparisons.

How do I ensure data integrity and consistency when aligning time series to perturbation onset?▼

Ensuring data integrity when aligning time series to perturbation onset requires detailing column groups for identifiers, force plate, COP, COM, and EMG signals within a merged parquet dataset.

What are the limitations of using a 1000 Hz onset-aligned parquet structure for step analysis?▼

The specification targets perturbation-task onset-aligned merged parquet datasets at 1000 Hz, meaning it is limited to data already structured for step versus non-step analyses and requires pre-processed time-series inputs.

Do I need specific column groups for COP and COM signals in a perturbation task parquet dataset?▼

Yes, the perturbation task parquet dataset requires specific column groups for COP and COM signals alongside identifiers, force plate, and EMG signals to maintain data integrity for downstream processing.

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