Publications by authors named "R Blechschmidt-Trapp"

Remote monitoring of Parkinson's Disease (PD) patients with inertia sensors is a relevant method for a better assessment of symptoms. We present a new approach for symptom quantification based on motion data: the automatic Unified Parkinson Disease Rating Scale (UPDRS) classification in combination with an animated 3D avatar giving the neurologist the impression of having the patient live in front of him. In this study we compared the UPDRS ratings of the pronation-supination task derived from: (a) an examination based on video recordings as a clinical reference; (b) an automatically classified UPDRS; and (c) a UPDRS rating from the assessment of the animated 3D avatar.

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Background: Medical treatment in patients suffering from Parkinson's disease is very difficult as dose-finding is mainly based on selective and subjective impressions by the physician.

Objectives: To allow for the objective evaluation of patients' symptoms required for optimal dosefinding, a telemonitoring system tracks the motion of patients in their surroundings. The system focuses on providing interoperability and usability in order to ensure high acceptance.

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The development of the upper jaw during growth is influenced by the function and position of the tongue and perioral soft tissues, and the pressures exerted by them. Accurate determination of the forces exerted by the tongue would provide relevant information about this influence. To date, our ability to obtain continuous recordings of the tongue pressure during certain functions is limited.

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We described a pressure sensor probe suitable for assessing dynamic rectal pressure profiles. It comprises 10 piezoresistive sensors mounted in low-temperature co-fired ceramic. To protect against corrosion, the sensors are coated with a biocompatible silicone elastomer.

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