Control system for movement reconstruction and/or restoration for a patient

1. A control system for a movement reconstruction and/or restoration system for a patient to support the patient's own natural control loop in determining movement cadence without forcing motion, comprising:

at least one sensor;

at least one controller;

at least one programmer;

at least one stimulation system;

wherein the controller is connected with the at least one sensor, the at least one programmer, and the at least one stimulation system;

wherein the at least one sensor is configured to be a part of or attached to a training entity in order to:

create and/or guide a movement model for a patient; or

adjust stimulation settings based on sensor input;

wherein the at least one stimulation system is configured based on measured sensor data of a minimum of one complete movement cycle of the patient, the movement has a regular and characteristic pattern for a healthy subject.

2. The control system of claim 1 , wherein the training entity is a trainer and/or physiotherapist.

3. The control system of claim 1 , wherein the training entity is or comprises a training apparatus, wherein the apparatus is at least one of an exoskeleton, a robot, a treadmill, a cycling machine and/or a body weight support system.

4. The control system of claim 1 , wherein the controller is configured and arranged for tracking and estimating the training entity movement and for translating it into stimulation data, based on the estimated movement, being provided by the stimulation system to the patient for the patient training for movement reconstruction and/or restoration.

5. The control system of claim 4 , wherein the controller is configured and arranged so that the tracking and estimating is performed online and/or offline.

6. The control system of claim 4 , wherein the controller is configured and arranged that the tracking and estimating is performed online and/or in real-time and/or with time delay.

7. The control system of claim 4 , wherein the controller is configured and arranged so that tracking and estimating is performed from one patient to another patient.

8. The control system of claim 1 , further comprising a sensor network formed from more than one of the at least one sensor, wherein the sensor network is connected to the controller.

9. The control system of claim 1 , further comprising an augmented and/or virtual reality module, which is configured and arranged to provide information related to movement reconstruction and/or restoration, especially information related to the training to be performed or being performed for movement reconstruction and/or restoration.

10. The control system of claim 9 , wherein the augmented and/or virtual reality module is configured and arranged to provide gamification information related to movement reconstruction and/or restoration.

11. The control system of claim 1 , wherein the at least one sensor is or comprises at least one of an inertial measurement unit (IMU), an optical sensor, a camera, a piezo element, a velocity sensor, an accelerometer, a magnetic field sensor, a torque sensor, a pressure sensor, a displacement sensor, an EMG measurement unit, a goniometer, a magnetic position sensor, a hall sensor, a gyroscope and/or motion tracking video cameras, or infra-red cameras.

12. The control system of claim 1 , wherein the training entity is the patient himself or herself.

13. The control system of claim 1 , wherein the control system has a pre-warning module, which is configured and arranged to provide a pre-warning signal indicative of providing an upcoming stimulation event.

14. A method for movement reconstruction, comprising:

responsive to detection of motion by at least one sensor coupled to a training entity:

receiving a signal from the at least one sensor at a controller, the controller coupled to a programmer;

generating stimulation instruction by the programmer based on the signal, the signal includes measurements recorded during at least one complete movement cycle of a patient, the movement has a regular and characteristic pattern for a healthy subject;

commanding generation of stimulation pulses at the controller based on the stimulation instructions provided by the programmer;

receiving the stimulation pulses at a pulse generator;

transmitting the stimulation pulses to the patient through electrical leads connected to the pulse generator to support the patient's own natural control loop in determining movement cadence without forcing motion.

15. The method of claim 14 , wherein detection of motion by at least one sensor includes attaching the at least one sensor to the patient's body and wherein the at least one sensor is included in a sensor network when more than one of the at least one sensor is connected to the controller.

16. The method of claim 14 , wherein further comprising receiving data at the controller from the training entity and wherein the training entity is an entity separate from the patient and configured to define movement of the patient.

17. The method of claim 14 , wherein generating stimulation instructions by the programmer includes receiving the signal from the at least one sensor at the programmer via the controller, adjusting stimulation parameters of a task based on the signal and sending the stimulation instructions to the controller through a communication link and wherein the programmer is a mobile device installed with applications.

18. The method of claim 14 , wherein transmitting the stimulating pulses to the patient includes attaching the electrical leads to regions of the patient where stimulation is desired.

19. The method of claim 18 , wherein the pulse generator is implanted subcutaneously in the patient and wherein transmitting the stimulation pulses to the patient provides epidural electrical stimulation.

20. The method of claim 14 , further comprising updating a movement model implemented at the programmer, wherein the movement model is trained based on data generated from movement reconstruction of more than one patient.