Movement reconstruction control system
The present invention relates to a control system for a movement reconstruction and/or restoration system for a patient, comprising a movement model generation module to generate movement model data information, an analysis module receiving and processing data provided at least by the movement model generation module, wherein the control system is configured and arranged to prepare and provide on the basis of data received by the movement model generation module and the analysis module a movement model describing the movement of a patient and providing, on the basis of the movement model, stimulation data for movement reconstruction and/or restoration.
1. A control system for a movement reconstruction and/or restoration system for a patient, comprising:
a movement model generation module to generate movement model data information; and
an analysis module receiving and processing data provided at least by the movement model generation module;
wherein the control system is configured and arranged to prepare and provide on the basis of data received by the movement model generation module and the analysis module a movement model describing a movement of a patient and providing, on the basis of the movement model, stimulation data for movement reconstruction and/or restoration; and
wherein the movement model generation module comprises a filter to establish an estimate for a true value of the movement model from a set of observations on the movement model.
2. The control system according to claim 1 , wherein the analysis module is a real-time analysis module.
3. The control system according to claim 2 , wherein the control system further comprises an input module for receiving sensor input data, the sensor input data describing a phase of the movement.
4. The control system of claim 3 , wherein the control system further comprises a preprocessing module for preprocessing sensor input data received by the input module.
5. The control system of claim 3 , wherein the filter is at least one of a Kalman filter, a histogram filter, a particle filter, or a stochastic filter.
6. The control system of claim 3 , wherein the movement model generation module is configured and arranged to prepare and provide the movement model, wherein the movement model generation module is a learning system.
7. The control system of claim 6 , wherein the control system is configured and arranged to prepare and provide the movement model on the basis of a fusion of sensor input data and movement model.
8. The control system of claim 3 , wherein the control system comprises at least one sensor data buffer.
9. The control system of claim 3 , wherein the control system comprises at least one offline expert system.
10. The control system of claim 3 , wherein the control system comprises at least one movement event library.
11. The control system of claim 3 , wherein the control system comprises at least one model training module.
12. The control system of claim 3 , wherein the control system is configured and arranged to extract at least one base frequency out of sensor input data, wherein the base frequency is indicative of a cadence of the movement.
13. The control system of claim 3 , wherein the control system comprises a pre- warning module, which is configured and arranged to provide a pre-warning signal indicative of providing an upcoming stimulation event.
14. The control system of claim 3 , wherein the filter is a non-linear digital filter that estimates a joint probability distribution over a set of unknown variables for each of a set of timeframes using a series of measurements observed over time.
15. The control system of claim 14 , wherein the filter is a Kalman filter.