1. A group 13 nitride phosphor consisting of group 13 nitride crystallites having a group 13 element dispersed in a matrix of a silica gel solid layer,
wherein a diamine compound is bonded to the surfaces of said group 13 nitride crystallites and said silica gel solid layer and
modified organic molecules are further bonded to the surfaces of said group 13 nitride crystallites.
2. The group 13 nitride phosphor according to claim 1, wherein the material for said modified organic molecules is amine.
3. The group 13 nitride phosphor according to claim 1, wherein said group 13 element is In andor Ga.
4. A method of preparing a group 13 nitride phosphor consisting of group 13 nitride crystallites having a group 13 element dispersed in a matrix of a silica gel solid layer, comprising the steps of:
preparing a mixed solution by mixing a diamine compound, modified organic molecules, a group 13 element-containing compound and a nitrogen element-containing compound with each other or by mixing a diamine compound, modified organic molecules, and a group 13 element-nitrogen element-containing compound with each other;
preparing group 13 nitride crystallites bonded with said diamine compound and said modified organic molecules by heating said mixed solution; and
dispersing said group 13 nitride crystallites in a matrix of a silica gel solid layer.
5. The method of preparing a group 13 nitride phosphor according to claim 4, wherein the material for said modified organic molecules is amine.
6. A group 13 nitride phosphor comprising group 13 nitride crystallites having a group 13 element dispersed in a matrix of a silica gel solid layer,
wherein a diamine compound is bonded to the surfaces of said group 13 nitride crystallites and said silica gel solid layer and
modified organic molecules are further bonded to the surfaces of said group 13 nitride crystallites.
7. A method of preparing a group 13 nitride phosphor comprising group 13 nitride crystallites having a group 13 element dispersed in a matrix of a silica gel solid layer, comprising the steps of:
preparing a mixed solution by mixing a diamine compound, modified organic molecules, a group 13 element-containing compound and a nitrogen element-containing compound with each other or by mixing a diamine compound, modified organic molecules, and a group 13 element-nitrogen element-containing compound with each other;
preparing group 13 nitride crystallites bonded with said diamine compound and said modified organic molecules by heating said mixed solution; and
dispersing said group 13 nitride crystallites in a matrix of a silica gel solid layer.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1-25. (canceled)
26. A method for simulating musculoskeletal strains on a patient for monitoring surgical interventions, the method comprising the steps of:
a. determining individual musculoskeletal parameters of the patient and automatically deriving anthropometric parameters from a system for computer-assisted surgery;
b. automatically determining the individual musculoskeletal strains from the determined musculoskeletal parameters of the patient; and
c. for the automatic determination of the individual musculoskeletal strains, comparing the individual and varied musculoskeletal parameters with musculoskeletal reference parameters filed in a strain database constructed with empirical data, and musculoskeletal reference strains corresponding to the musculoskeletal reference parameters are determined as the individual musculoskeletal strains, the musculoskeletal reference parameters being present as discrete values in the strain database and the musculoskeletal reference parameters being compared with the individual musculoskeletal parameters by means of functional relationships; and
d. evaluating the individual musculoskeletal strains in respect of at least one target criterion.
27. The method as claimed in claim 26, further comprising the steps of:
e. varying at least one musculoskeletal parameter;
f. subsequently automatically determining the individual musculoskeletal strains taking into consideration the at least one varied musculoskeletal parameter; and
g. subsequently evaluating the individual musculoskeletal strains in respect of the at least one target criterion.
28. The method as claimed in claim 27, wherein steps e. to g. are repeated until a specified target value of at least one target criterion is reached.
29. The method as claimed in claim 28, wherein the musculoskeletal parameters corresponding to the target value are output on an output unit, stored in a storage unit andor transferred to a computer-assisted surgery system andor to a surgical navigation system.
30. The method as claimed in claim 28, wherein the individual and varied musculoskeletal parameters corresponding to the target value serve as a basis for planning a surgical intervention, the positioning of components or the decision regarding the removal of temporary implants.
31. The method as claimed in claim 27, wherein the variation of the individual musculoskeletal parameters in step e. is carried out taking into consideration predefinable data for implants.
32. The method as claimed in claim 26, wherein the individual musculoskeletal strains are calculated from the determined individual musculoskeletal parameters.
33. The method as claimed in claim 32, wherein a biomechanical andor a mathematical model is used as a basis for the calculation of the individual musculoskeletal strains.
34. The method as claimed in claim 33, wherein the biomechanical andor mathematical model is adapted to the individual musculoskeletal parameters.
35. The method as claimed in claim 33, wherein the biomechanical andor mathematical model is chosen on the basis of the determined individual musculoskeletal parameters from at least one database.
36. The method as claimed in claim 34, wherein the individual musculoskeletal strains are calculated with the aid of a musculoskeletal model taking into consideration the individual patient anatomy.
37. The method as claimed in claim 26, wherein the individual musculoskeletal strains are visualized for evaluation.
38. The method as claimed in claim 26, wherein the individual musculoskeletal strains are presented on the basis of an anatomical model, particularly in graph form andor numerically.
39. The method as claimed in claim 26, wherein, by evaluation of the individual musculoskeletal strains, a rehabilitation process is evaluated andor managed, particularly by means of Internet access.
40. The method as claimed in claim 26, wherein the individual musculoskeletal parameters of the patient are determined by measurements.
41. The method as claimed in claim 40, wherein at least one of the individual musculoskeletal parameters is measured automatically.
42. The method as claimed in claim 26, wherein individual movement parameters, particularly gait parameters, are determined, and these are used for the automatic determination of individual musculoskeletal strains.
43. The method as claimed in claim 42, wherein the individual gait parameters are determined from personal data stored in a database andor are recorded individually for one person.
44. The method as claimed in claim 26, wherein the position andor orientation of joints are used for a navigation system for computer-assisted surgery andor the data from a navigation system are used for computer-assisted surgery.
45. A device for evaluating musculoskeletal strains on a patient, with means for carrying out the method as claimed in claim 26.
46. A movement analysis system coupled to the device as claimed in claim 45.
47. A navigation system for computer-assisted surgery for carrying out the method as claimed in claim 26.
48. The method as claimed in claim 26, wherein the musculoskeletal parameters are automatically measured anthropometric parameters.
49. The method as claimed in claim 26, wherein the target criterion include contact forces, degree of joint movement, fragment movements of a fracture or any combination thereof.