Sökning: "Rehabilitation Engineering"
Visar resultat 16 - 20 av 60 avhandlingar innehållade orden Rehabilitation Engineering.
16. Finite Element and Neuroimaging Techniques toImprove Decision-Making in Clinical Neuroscience
Sammanfattning : Our brain, perhaps the most sophisticated and mysterious part of the human body, to some extent, determines who we are. However, it’s a vulnerable organ. When subjected to an impact, such as a traffic accident or sport, it may lead to traumatic brain injury (TBI) which can have devastating effects for those who suffer the injury. LÄS MER
17. Inertial motion capture for ambulatory analysis of human movement and balance
Sammanfattning : Inertial sensors (accelerometers and gyroscopes) are ubiquitous in today’s society, where they can be found in many of our everyday mobile devices. These sensors are capable of recording the movement of the device, and by extension, the movement of humans carrying or interacting with the device. LÄS MER
18. Human motion prediction using wearable sensors and machine Learning
Sammanfattning : Accurately measuring and predicting human movement is important in many contexts, such as in rehabilitation and the design of assistive devices. Thanks to the development and availability of a wide variety of sensors, scientists study human movement in many settings and capture characteristic properties unique to individuals as well as to larger study populations. LÄS MER
19. Concrete pavements’ repair techniques and numerical assessment of dowel bar load transfer efficiency
Sammanfattning : Concrete pavements are a suitable alternative for high-traffic volume roads, concentrated loads and roads exposed to severe weather conditions. In Sweden, among other reasons, the scarcity of concrete pavements is attributed to the need for more national knowledge and expertise in the field. LÄS MER
20. Vehicle-Pavement Interaction
Sammanfattning : Several aspects of vehicle-pavement interaction have been studied and discussed in this thesis. Initially the pavement response is studied through a quasi-static and a dynamic computationally efficient framework under moving traffic loads. LÄS MER