Cuff algometry is used for quantitative assessment of deep-tissue sensitivity. The main purpose of this PhD dissertation is to provide a novel insight into the intrinsic and extrinsic factors which are involved in mechanically induced pain during cuff pressure algometry. A computational 3D finite element of the lower leg representing the real geometry of the limb and including various soft tissues was developed based on magnetic resonance image data. Due to the technical difficulties of such a simulation and the beneficial aspects of the results, the contribution of this project is substantial to expand the current knowledge on the mechanical influences of cuff algometry on deep-tissue nociceptors. Additionally, this is one of the pioneering projects utilizing the finite element simulation as a computationally reliable method of modelling in pain research field. The present findings are highly relevant to biomechanical studies for defining a valid methodology to appropriately activate deep-tissue nociceptors and hence to develop biomedical devices used for pain sensitivity assessment.
|Navn||Ph.d.-serien for Det Sundhedsvidenskabelige Fakultet, Aalborg Universitet|
Lars Arendt-Nielsen, Hovedvejleder