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E. (Elisabeth) Wilhelm, Dr

Assistant Professor in Control of Robotic Systems for Assistance and Rehabilitation

Research interests

My research focuses on robotics for rehabilitation and assistive devices, artificial sensory stimulation, real-time bio-feedback and human-machine interaction. In particular, I use artificial sensory stimulation to help people with neurological diseases and sleep disorders. To achieve this, I combine microtechnology with robotics and artificial intelligence. A key aspect of my research is to combine advanced bio-signal processing with machine learning techniques to develop algorithms that allow robots to react to the physiological state of the human user in closed-loop manner.

Publications

Reviewing the potential of hearables for the assessment of bruxism

Toward Wearables for Bruxism Detection: Voluntary Oral Behaviors Sound Recorded Across the Head Depend on Transducer Placement

Unobtrusive machine learning based leg position detection during seated office work

A Sensing Platform to Monitor Sleep Efficiency

Impact of Ear Occlusion on In-Ear Sounds Generated by Intra-oral Behaviors

Robotic beds for the treatment of positional obstructive sleep apnoea – a randomised cross-over pilot trial

Sleep Position Detection for Closed-Loop Treatment of Sleep-Related Breathing Disorders

A robot for climbing specific finger strength assessment and training with reduction in shoulder load

Effect of Rocking Movements on Afternoon Sleep

Gentle rocking movements during sleep in the elderly

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