FIELD: medicine.
SUBSTANCE: invention relates to medicine, in particular to an automated system for processing data on angles of lordoses of patients, allowing to solve tasks of analyzing and processing data on angles of lordoses of patients, recognizing the degree of their deviation and taking decisions on the detected degrees of deviation of the sequence of loads on the spine for the procedures of correction of its lordoses. Technical result is achieved by the fact that the system comprises an identification module for basic address of angles of lordoses in the system server database, an identification module for relative address of angles of lumbar lordoses in the system server database, a selection module in the server database of the lumbar lordoses of patients angles address system, a recognition module for lumbar lordosis of patients degree deviation,a selection module in the server database of address system of the sequence of loads on the spinal column for correcting the lumbar lordosis angles, a registration module for lordoses of patients angles, a recognition module for the degree of deviation of cervical lordosis of patients, a selection module in the server database of address system of the sequence of loads on the spinal column for correcting the cervical lordosis angles, a registration module for the sequence of loads on the spinal column for correcting the lumbar lordosis angles, a registration module for the sequence of loads on the spinal column for correcting the cervical lordosis angles, a synchronization module for issuing the sequence of loads on the spinal column for correcting the lordoses of patients angles, a monitoring module for the completion of the procedure for analyzing the array of patients, a registration module for the patients SNILS (Insurance Number of Individual Ledger Account) codes.
EFFECT: faster operation of the system by excluding time spent on analysis and processing of high-information tomograms of lordoses of patients and initialization of data processing of lordoses of patients angles, pre-measured and isolated on the tomograms themselves.
1 cl, 15 dwg, 2 tbl
Authors
Dates
2019-09-24—Published
2018-11-27—Filed