Barkallah Eya, Otis Martin J.-D., Ngomo Suzy et Heraud Michel. Measuring operator’s pain : toward evaluating Musculoskeletal disorder at work. Dans : IEEE International Conference on Systems, Man, and Cybernetics (SMC) , 9-12 Oct. 2015, Kowloon, Hong Kong.
Prévisualisation |
PDF
- Version acceptée
374kB |
Résumé
Musculoskeletal disorders (MSDs) have affected an increasing number of people in the active general population. In this perspective, we developed a measuring tool taking muscle activities in certain regions of the body, standing posture taking the center of pressure under the feet and feet positions. This tool also comprises an instrumented helmet containing an electroencephalogram (EEG) to measure brain activity, and an accelerometer reporting the movements of the head. Then, our tool comprises both non-invasive instrumented insole and safety helmet. Moreover, the same tool measures muscular activities in specific regions of the body using an electromyogram (EMG). The aim is to combine all the data in order to identify consistent patterns between brain activity, postures, movements and muscle activity, and then, understand their connection to the development of MSDs. This paper presents three situations reported to be a risk for MSDs and an analysis of the signals is presented in order to differentiate adequate or abnormal posture.
Type de document: | Matériel de conférence (Non spécifié) |
---|---|
Sujets: | Sciences naturelles et génie > Génie > Génie électrique et génie électronique Sciences naturelles et génie > Génie > Génie informatique et génie logiciel |
Département, module, service et unité de recherche: | Départements et modules > Département des sciences appliquées > Module d'ingénierie |
Mots-clés: | Center of Pressure, Musculoskeletal disoders, posutre recognition, IMU, medical signal processing, acceleration measurement, accelerometers, biomechanics, body sensor networks, electroencephalography, electromyography, medical disorders, mesure d'accélération, accéléromètres, biomécanique, Réseaux de capteurs corporels, électroencéphalographie, électromyographie, troubles médicaux, traitement du signal |
Informations complémentaires: | DOI:10.1109/SMC.2015.414 |
Déposé le: | 31 mai 2017 20:59 |
---|---|
Dernière modification: | 31 mai 2017 20:59 |
Éditer le document (administrateurs uniquement)