Search for dissertations about: "wearable sensors"
Showing result 11 - 15 of 37 swedish dissertations containing the words wearable sensors.
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11. Characterisation and modelling of graphene FET detectors for flexible terahertz electronics
Abstract : Low-cost electronics for future high-speed wireless communication and non-invasive inspection at terahertz frequencies require new materials with advanced mechanical and electronic properties. Graphene, with its unique combination of flexibility and high carrier velocity, can provide new opportunities for terahertz electronics. READ MORE
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12. Graphene FET terahertz detectors on flexible substrates
Abstract : Terahertz (THz) science and technology have developed rapidly over the past decades, extending the THz application areas from spectroscopy and earth and space sciences to communications, biomedicine and security sensing. Many of these emerging applications require shape-conforming, light-weight and low-cost detectors rather than existing solid-state detection technology. READ MORE
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13. Wearable systems and sensors for the assessment of motor control : Development and validation of methods for clinical assessment of idiopathic normal pressure hydrocephalus
Abstract : Human gait and balance are controlled by automatic processes in the central nervous system, and in sensory and proprioceptive systems. If a disturbance occurs in any of these complex structures, it may lead to balance and gait problems. READ MORE
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14. Hybrid Materials for Wearable Electronics and Electrochemical Systems
Abstract : Flexible electronic systems such as wearable devices, sensors and electronic skin require power sources and sensing units that are mechanically robust, operational at low bending radius, and environmentally friendly. Recently, there has been an enormous interest in active materials such as thin film semiconductors, conductive polymers, and ion-electron conductors. READ MORE
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15. Biomechanical Parameter Estimation for Wearable Exoskeleton System Design
Abstract : Exoskeletons are increasingly used in rehabilitation and daily life in persons with motor disorders after neurological injuries. The overall objective of this thesis is to study how to robustly and accurately predict joint torque using inputs from sensors that would technically be feasible to equip on an assistive exoskeleton, and to develop a framework that could be used to evaluate the user-exoskeleton interface. READ MORE