MC (muscle contraction) sensor is based on a novel principle whereby muscle tension is measured during muscle contractions. During the measurement, the sensor is fixed on the skin surface above the muscle, while the sensor tip applies pressure and causes an indentation of the skin and intermediate layer directly above the muscle and muscle itself. The force on the sensor tip is then measured. This force is roughly proportional to the tension of the muscle. The measurement is non-invasive and selective. The sensor is relatively small and light so that the measurements can be performed while the measured subject performs different activities. The sensor will be used in sport trainings, rehabilitation after injuries, and also in diagnostics.
F.08 Development and manufacture of a prototype
COBISS.SI-ID: 8712276Development of the algorithm for measuring systolic, diastolic and mean pressure and pulse (acquired with an oscilometric method) on the three extremities on the human body (arm, left and right ankle) for the calculation of the ankle index. The algorithm is implemented in the device ABPIMD of the MESI d.o.o. company. Development of the methodology based on the data mining statistical methods and the machine learning methods, for the analysis and efficiency monitoring of the health-care financing model under the target research program “KONKURENČNOST SLOVENIJE 2006-2013”, project V5-1050 SUMOFIN.
F.04 Increase of the technological level
There are some important socially economic results in connection with the invited paper of dr. Arpad Buermen, presented in Italy. The circuit designer community has shown an interest in our simulator independent optimization tool which is based on a Python library. So we have set up a respective webpage named PyOPUS which is freely available at http://fides.fe.uni-lj.si/pyopus/. A few months after its introduction we have already had significant feedback. In future we will certainly improve this platform.
F.11 Development of a new service
COBISS.SI-ID: 8093780