EMG Dataset and Processing Scripts for the Impriming Study (Pre-Publication Archive)

# EMG Preprocessing and Visualization – Impriming Study

This repository contains raw and preprocessed electromyography (EMG) data, as well as scripts used for signal preprocessing and graphical illustration for the *IMPRIMING* project.

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## Repository Contents

### 1. `***_raw.zip`- Contains the original `.csv` files recorded during the study, for the different tasks (1RM, 5RM, endurance)- Each file corresponds to a single acquisition for one subject, including 3 muscle channels:  - **Vastus Medialis**  - **Vastus Lateralis**  - **Semi Tendinosus**

### 2. `data_processed.csv`

- Performance measures indexed from resistance training exercises

- A single `.csv` file with processed EMG data:  - Filtered signals (20–300 Hz)  - Full-wave rectified signals  - Envelope signals (60-point moving average)  - Time vector (in seconds)  - Signals expressed in **millivolts (mV)**

### 3. `scripts_R.zip`- Contains R scripts to reproduce the entire analysis pipeline:  - `emg_preproc.R`: filters, rectifies, and extracts envelope  - `emg_graph.R`: generates ggplot2-based illustrations of raw and processed signals

### 4. `biosignalemg_citation.bib`- BibTeX citation for the **biosignalEMG** R package used for signal processing.

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## Signal Processing Workflow

The preprocessing follows this sequence:1. **DC bias removal**2. **Band-pass filtering**: 20 Hz (high-pass) and 300 Hz (low-pass)3. **Full-wave rectification**4. **Envelope extraction** using moving average (`window = 60` samples @1926 Hz)

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## Dependencies

R (≥ 4.0) with the following packages:- [`biosignalEMG`](https://cran.r-project.org/package=biosignalEMG)- `ggplot2`- `gridExtra`

To install:```rinstall.packages(c("biosignalEMG", "ggplot2", "gridExtra"))