Christian Klauer

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Within the European project MUNDUS, an assistive framework was developed for the support of arm and hand functions during daily life activities in severely impaired people. This contribution aims at designing a feedback control system for Neuro-Muscular Electrical Stimulation (NMES) to enable reaching functions in people with no residual voluntary control(More)
MUNDUS is an assistive framework for recovering direct interaction capability of severely motor impaired people based on arm reaching and hand functions. It aims at achieving personalization, modularity and maximization of the user’s direct involvement in assistive systems. To this, MUNDUS exploits any residual control of the end-user and can be adapted to(More)
MUNDUS is an assistive platform for recovering direct interaction capability of severely impaired people based on upper limb motor functions. Its main concept is to exploit any residual control of the end-user, thus being suitable for long term utilization in daily activities. MUNDUS integrates multimodal information (EMG, eye tracking, brain computer(More)
This work aimed at designing a myocontrolled arm neuroprosthesis for both assistive and rehabilitative purposes. The performance of an adaptive linear prediction filter and a high-pass filter to estimate the volitional EMG was evaluated on healthy subjects (N=10) and neurological patients (N=8) during dynamic hybrid biceps contractions. A significant effect(More)
— Motivated by control tasks in neuro-prosthetic systems, a method for the exact discretisation of continuous-time LTI systems in presence of irregular actuation and sampling times is presented. In this approach, sequences for the desired sampling and actuation times form additional inputs to the discrete-time systems. An analytical evaluation for a class(More)
— A novel feedback control method for neuro-pros-thetic systems is presented which linearises the static input non-linearity of muscles that are artificially activated by Functional Electrical Stimulation (FES). The proposed method controls the activation state (sum of recruited motor units by FES) of the paralysed muscle. This muscle recruitment state is(More)
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