PainMotion: Multimodal Biosignal Datasets from Upper-arm DOMS vs Musculoskeletal Disorders Pain during Industrial Tasks

Martins, Diogo; Cerqueira, Sara; Vieira, Pinhão, Tiago; Rocha, Ana Maria A. C.; Ferreira da Silva, Alexandre; Edelman, Elazer; Balcells, Mercedes; Santos, Cristina; University of Minho

doi:10.5281/zenodo.17704417

PainMotion: Multimodal Biosignal Datasets from Upper-arm DOMS vs Musculoskeletal Disorders Pain during Industrial Tasks

Martins, Diogo; Cerqueira, Sara; Vieira, Pinhão, Tiago; Rocha, Ana Maria A. C.; Ferreira da Silva, Alexandre; Edelman, Elazer; Balcells, Mercedes; Santos, Cristina; University of Minho

Publisher: Zenodo
DOI: 10.5281/zenodo.17704417
Repository: zenodo.org
Language: en

Abstract

This dataset for musculoskeletal pain research contains 6 h and 4 min of biosignals acquired from 17 healthy participants with delayed-onset muscle soreness (DOMS) and 1 h 6 min from 6 participants with shoulder musculoskeletal disorders (MSDs), performing industrial tasks, where certain movements trigger musculoskeletal pain in the shoulder/upper arm. In each trial, several biosignals were recorded: Electrocardiogram (ECG), sampled at 1259.26 Hz, using the Trigno EKG Biofeedback Sensor (Delsys Incorporated); Surface electromyography (sEMG) from the sore upper-arm muscles biceps brachii, deltoid anterior, deltoid medius, and deltoid posterior, sampled at 2148.15 Hz, using the Trigno Avanti (Delsys Incorporated); Inertial data from the upper limbs, sampled at 60 Hz, using the Xsens MTw Awinda + Xsens MVN Analyze (Movella Inc.); Participants’ self-reported pain level, which was defined as binary (0 - no pain, 1 - pain; 2 - samples to discard), sampled at 100 Hz. Database structure: Protocol: step-by-step description of the acquisition protocol. Code: Arduino file to acquire the labels (labelling_buttons.ino), Jupyter Notebook files containing the base code to read and compute physiological features (feature_extraction_ECG.ipynb, feature_extraction_EMG.ipynb, feature_extraction_IMU.ipynb), and Jupyter Notebook file to perform a statistical analysis (analysis_features.ipynb). DOMS dataset.zip: includes data (biosignals and pain labels acquired in each trial for each participant, stored in .csv and .xlsx files) and metadata (participants' anthropometric data, cardiac conditions, anti-inflammatories, caffeine, alcohol and nicotine intake, and exercise habits); MSD dataset.zip: includes data (biosignals, pain labels and task labels acquired in each trial for each participant, stored in .csv and .xlsx files) and metadata (participants' anthropometric data, cardiac conditions, anti-inflammatories, caffeine, alcohol and nicotine intake, exercise habits, musculoskeletal disorder description, and physiotherapy info). This dataset may contribute to the development and testing of new pain detection algorithms and analysis of the underlying mechanisms. For any questions, please contact Diogo R. Martins at [email protected], Sara M. Cerqueira at [email protected] or Cristina P. Santos at [email protected].

Full text

Acquisition Protocol Baseline T1, T2 and T3 Tasks (duration for healthy participants with DOMS / MSD participants): 1. Walking back and forth for 30 / 40 seconds; 2. With the sore (injured) arm, picking up from a table and carrying a 5 kg bag for 15 / 20 seconds; 3. Holding still, with the bag in the hand, in front of a shelving unit, for 15 / 20 seconds; 4. Placing the bag on the bottom shelf; 5. Placing the bag on the shelf above; 6. Placing the bag on the shelf above; 7. Placing the bag on the shelf above (top); 8. Placing the bag on the bottom shelf; 9. Typing on a tablet for 30 / 40 seconds; 10. Tightening screw 1 of the top shelf for a variable duration / 20 seconds; 11. Tightening screw 2 of the top shelf for a variable duration / 20 seconds; 12. Tightening screw 3 of the top shelf for a variable duration / 20 seconds; 13. Tightening screw 4 of the top shelf for a variable duration / 20 seconds; 14. Tightening screw 5 of the shelf below for a variable duration / 20 seconds; 15. Tightening screw 6 for a variable duration / 20 seconds; 16. Tightening screw 7 for a variable duration / 20 seconds; 17. Tightening screw 8 for a variable duration / 20 seconds; 18. Cleaning the top shelf with a cloth for 10 / 15 seconds; 19. Cleaning the shelf below for 10 / 15 seconds; 20. Cleaning the shelf below for 10 / 15 seconds; 21. Taking a saw and a metal bar and sawing it to a certain depth landmark / 40 seconds; 22. Cleaning the table surface again with a cloth for 30 / 40 seconds.