Method and system for real time interactive dynamic alignment of prosthetics
First Claim
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1. A computer-based system for dynamic alignment of a prosthetic limb for a human subject configured therewith, the computer-based system comprising:
- a measurement system for obtaining a patient human motion capture record of a prosthesis-equipped human subject in motion;
a motion database comprising a plurality of reference human motion capture records that correspond with a plurality of known prosthetic alignment errors;
a motion blending engine configured for blending said reference human motion capture records, said blending including at least one of weighting and combining said reference capture records, to produce a predicted human motion capture record; and
a computer configured for comparing the predicted human motion capture record with the patient human motion capture record, said computer being configured to calculate from the comparison a prosthesis alignment error correction for the prosthesis-equipped subject.
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Abstract
An objective method and system for dynamic analysis of prosthesis-bound subjects for determining optimal prosthesis alignment adjustments consists of a motion detection system, motion database, blending engine and algorithms, and a graphical user interface with suitable program controls whereby manual, semi-automatic, or fully automated analysis of a prosthesis-equipped subject'"'"'s motion performance can be done in real time to determine objectively the optimal adjustments for the subject'"'"'s prosthesis in a precise clinical protocol context.
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Citations
20 Claims
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1. A computer-based system for dynamic alignment of a prosthetic limb for a human subject configured therewith, the computer-based system comprising:
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a measurement system for obtaining a patient human motion capture record of a prosthesis-equipped human subject in motion; a motion database comprising a plurality of reference human motion capture records that correspond with a plurality of known prosthetic alignment errors; a motion blending engine configured for blending said reference human motion capture records, said blending including at least one of weighting and combining said reference capture records, to produce a predicted human motion capture record; and a computer configured for comparing the predicted human motion capture record with the patient human motion capture record, said computer being configured to calculate from the comparison a prosthesis alignment error correction for the prosthesis-equipped subject. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for computing a prosthetic alignment error correction in real time for a prosthesis-equipped human subject, said method comprising:
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collecting a patient human motion capture record from the prosthesis-equipped human subject in motion; comparing in real time the patient human motion capture record with a plurality of reference human motion capture records that correspond with known prosthetic alignment errors to determine matching records; blending said reference human motion capture records into blended data that approximates the patent human motion capture record, said blending including at least one of weighting and combining a plurality of said reference human motion capture records; and computing in real time from said blended data a computed prosthesis alignment error correction. - View Dependent Claims (12, 13, 14, 15, 16, 17)
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18. A computer system for dynamic alignment of prosthetic limbs for a prosthesis-equipped human subject, the computer system comprising:
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a human motion detection system for monitoring the prosthesis-equipped human subject while in motion, the output of which is real time patient human motion data; a human motion database configured for comparing the real time patient human motion data with a database of reference human motion capture records corresponding with known prosthetic alignment errors, and selecting reference human motion capture records from the database based on matching prosthetic alignment errors; a human motion blending engine configured for blending the selected reference human motion capture records in real time into blended data that approximates the real time patient human motion data, said blending including at least one of weighting and combining a plurality of said reference human motion capture records; and a computer receiving the blended data from the blending engine, said computer being configured to calculate in real time a dynamic prosthesis alignment error for the prosthesis-equipped subject from the blended data and to visually display in real time the dynamic prosthesis alignment error on a graphic user interface.
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19. A method for determining alignment adjustments for the prosthesis of a prosthesis-equipped human subject, said method comprising:
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collecting patient human motion data from the prosthesis-equipped human subject in motion; comparing the patient human motion data to a database of reference human motion capture records corresponding with known prosthetic alignment errors to identify related capture records; blending the related capture records to create blended data that approximates the patient human motion data, said blending including at least one of weighting and combining a plurality of said related capture records; computing from the blended data the prosthetic alignment error of the subject in motion; and utilizing the computed prosthetic alignment error of the subject in motion for determining a corrective adjustment to the prosthesis. - View Dependent Claims (20)
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Specification