Matlab scripts for "An Automated On-the-Go Unloading System Reduces Harvest Operator Stress Relative to Manual Operation"

<p> **Script information**</p> <p>-EDAwristband.m</p> <p>-importEDAfile.m</p> <p>-run_automated_EDAQA.m</p> <p>These files are used to take raw data from an Empatica E4 wristband and calculate stressful events. See also Burgers and Vanderwerff (2022).</p> <p>EDAwristband.m is the main processing script. File names and processing inputs need to be input in the first section. It outputs a .csv file with information about stressful events.</p> <p>importEDAfile.m is a function EDAwristband.m calls to import the data .csv files</p> <p>run_automated_EDAQA.m is a function EDAwristband.m calls to process the EDA data and assess the quality of the data. See Kleckner et al., 2017 for more details.</p> <p>**Dataset information**</p> <p>-A03CE6EDA20231018.csv</p> <p>-A036A2EDA2023101916.csv</p> <p>These are example raw EDA data files from the Empatica E4 wristband. </p> <p>The data includes information about the time and EDA measurements. </p> <p>**Dataset information**</p> <p>-A03CE6EDA20231018p.csv</p> <p>-A036A2EDA2023101916p.csv</p> <p>These are example outputs of processed EDA from the two input csv files. </p> <p>The table includes the following variables:</p> <p>wristband ID, time of event, EDA and filtered EDA values, invalid points, valley, peak, stressful event magnitude (uS), stressful event duration (s), area under curve of stressful event (uS-s)</p>