What is claimed is:

1. A method, in a data processing system (100) comprising a processor and a memory, for determining rehabilitation treatment of a joint that has been operated on, the method comprising: communicatively connecting, by a computing device (102), to a sleeve comprising a plurality of inwoven sensors (104) positioned to be attached to an individual at the beginning and ending of one or more muscle structures at both sides of the joint, the plurality of sensors (104) transmitting electrical signals generated by the muscle to the computing device (102); receiving, by the computing device (102), the electrical signals from the plurality of sensors (104); generating, by the computing device (102), initial measurement data by evaluating strength and activity level of the muscles based on the electrical signals; comparing, by the computing device (106), the initial measurement data with reference data (122), the reference data including measurements of healthy people with normal muscle function and preoperative measurement data of the joint generated in a manner substantially similar to the initial measurement data; and generating, by the computing device (106), a training plan based on the comparison.

2. The method of claim 1 further comprising measuring electrical signals generated by muscle cell activation.

3. The method of claim 1 wherein the plurality of sensors (104) include sleeves with inwoven electromyographic sensors.

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4. The method of claim 3 wherein the plurality of sensors (104) include gyrosensors that are placed at a beginning and at an end of the sleeve.

5. The method of claim 1 wherein the plurality of sensors (104) are placed according to a beginning and an end of defined muscles in a joint area.

6. The method of claim 1 wherein comparing the initial measurement data with reference data (122) further comprises determining a target zone associated with the training plan.

7. The method of claim 1 wherein the training plan includes training procedures including progress and exercises to be performed along with explanations or descriptions.

8. The method of claim 1 wherein the training plan includes an exercise list and a target zone based on average data of a healthy cohort.

9. The method of claim 1 further comprising continuously adapting the training plan according to individual joint progress and abilities.

10. The method of claim 1 further comprising executing calibration procedures with the plurality of sensors (104) by instructing through a user interface (116), a user to perform operations including at least one of moving forward and backward, flexing and extending a joint attached to the plurality of sensors (104), and rotating the joint.

11. A system (100) for determining rehabilitation treatment of a joint that has been operated on, the system comprising: a processor; and a memory having executable instructions stored thereon that when executed by the processor cause the processor to:

AMENDED SHEET (ARTICLE 19) communicatively connect to a sleeve comprising a plurality of inwoven sensors

(104) positioned to be attached to an individual at the beginning and ending of one or more muscle structures at both sides of the joint; receive electrical signals generated by the muscle from the plurality of sensors (104); generate initial measurement data by evaluating strength and activity level of the muscles based on the electrical signals; compare the initial measurement data with reference data (122), the reference data including measurements of healthy people with normal muscle function and preoperative measurement data of the joint generated in a manner substantially similar to the initial measurement data; and generate a training plan based on the comparison.

12. The system of claim 11 wherein the plurality of sensors (104) measure electrical signals generated by muscle cell activation.

13. The system of claim 11 wherein the plurality of sensors (104) include sleeves with inwoven electromyographic sensors.

14. The system of claim 13 wherein the plurality of sensors (104) include gyrosensors that are placed at a beginning and at an end of the sleeve.

15. The system of claim 11 wherein the plurality of sensors (104) are placed according to a beginning and an end of defined muscles in a joint area.

16. The system of claim 11 wherein the processor is further configured to determine a target zone associated with the training plan.

17. The system of claim 11 wherein the processor is further configured to execute calibration procedures with the plurality of sensors (104) by instructing through a user interface

AMENDED SHEET (ARTICLE 19) (116), a user to perform operations including at least one of moving forward and backward, flexing and extending a joint attached to the plurality of sensors (104), and rotating the joint.

18. The system of claim 11 wherein the training plan includes an exercise list and a target zone based on average data of a healthy cohort.

19. The system of claim 11 wherein the processor is further configured to continuously adapting the training plan according to individual joint progress and abilities.

20. Non-transitory computer-readable media comprising program code that when executed by a programmable processor causes execution of a method for determining rehabilitation treatment of a joint that has been operated on, the computer-readable media comprising: computer program code for communicatively connecting a computing device to a sleeve comprising a plurality of inwoven sensors (104) positioned to be attached to an individual at the beginning and ending of one or more muscle structures at both sides of the joint, the plurality of sensors (104) transmitting electrical signals generated by the muscle to the computing device; computer program code for receiving the electrical signals from the plurality of sensors (104); computer program code for generating initial measurement data by evaluating strength and activity level of the muscles based on the electrical signals; computer program code for comparing the initial measurement data with reference data (122), the reference data including measurements of healthy people with normal muscle function and preoperative measurement data of the joint generated in a manner substantially similar to the initial measurement data; and

AMENDED SHEET (ARTICLE 19) computer program code for generating a training plan based on the comparison.

AMENDED SHEET (ARTICLE 19)