Invasive pressure measuring of arterial blood pressure and central venous pressure is a standard procedure in critical neuro surgery or heart surgery. Altitude of the blood pressure sensor is the same as the reference point, which might be the right auricle with patient in supine position. Permanent changes in position of the patient during minimally invasive procedures or changes of height during radiologic interventions require permanent manual adjustment due to incorrect display of blood pressure.
Automatic correction of the intravasal measured blood pressure related to the position of the patient is crucial. This is done by adapting the reference point and the pressure transducer with accuracy of +/- 1cm. A 2-sensor-system (reference point patient and pressure transducer) is preferred. Therefore it is planned to compare various methods for position determination based on a Body-Area-Network (BAN = wireless sensor network). Moreover, goals of this project are to combine, prototypically implement and evaluate the various methods.
Multisensor and application-optimized measurement setups are based on orientation sensors to measure 3D angles in space and 3D localization e.g. by using ultra-wide-band (UWB) systems. Involving additional sensor technology in the table or patient is leading to an adaptive, intelligent and reliable system. This project benefits from the complement of the expertizes of the areas wireless sensors (FHL, ITM), positioning and navigation (FHL, ITM) and monitoring in anesthesia (UK S-H).