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. --- ## 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. --- ## 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) --- ## 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"))