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Research

AMT uses engineering technologies originally developed for industrial applications and transfers these to medical applications. This leads to new approaches in assisting medical staff during daily acitivties. The foundation of these approaches is a model of the patient and the process of medical care. Partly automation can lead to an increase of efficiency and safety of the treatment.

Reasearch Areas

The research activities of AMT are currently threefold:

 

Robotic Assistance SystemsNeuro-motoric diagnosis and therapy systemsNutrition and physical function in older adults

The Robotic Assistance Systems group develops intelligent, space-based solutions that, through the use of mechatronic systems, provide support for coping with everyday situations through close human-robot interaction.

Firstly, the need for support and the situational context have to be identified. Based on this, the aim is to offer targeted, intuitively controllable and at the same time expectant support actions at the right time in the right place.

The technical challenges lie in situational and environmental awareness, activity recognition and the derivation of cooperation strategies, as well as motion and trajectory planning.

For diagnosis and therapy support, we develop wearable and portable measurement systems for the combined acquisition of motoric, cognitive and sensory abilities. Their differentiation is of great importance in assessing the functionality of older people in order to be able to identify causalities between cognitive and motor deficits and thus enable specific, resource-oriented therapeutic approaches.
For this purpose, measuring methods as well as identification and fusion algorithms are used improve the understanding of normal aging or abnormal individual development (eg using inertial sensors, fNIRS and EEG) which are then prototype-tested and evaluated. Building on this, interventions based on individualized, physical interaction with users to increase motor and cognitive performance are designed.

Especially for elderly and very old people, the detection and assessment of nutritional status and physical function are important components in nutritional and physiotherapy.

Age-related nutritional problems such as malnutrition or obesity, as well as changes in body composition, affect the diet physical performance. In this context, in a continuous process, the need for technology to assess nutritional status, body composition and physical function is identified, subsequently tested and evaluated and, where appropriate, used in the field of risk assessment as well as therapy.

 

 

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