SKILL EVALUATION USING SPHERICAL MOTION MECHANISM
First Claim
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1. A system for evaluating a relative performance of a manipulative task by a subject, comprising:
- (a) data receiver for receiving subject performance data corresponding to performance of the manipulative task by the subject;
(b) a database including a plurality of models, each particular model in a one to one relationship with a particular proficiency level selected from a plurality of proficiency levels, wherein each model corresponds to performance of the manipulative task at a particular proficiency level;
(c) a feedback component, the feedback component enabling the system to output feedback relating the performance of the manipulative task by the subject; and
(d) a processor coupled to the database and the data receiver, the processor being configured to;
(i) generate a specimen model corresponding to the subject performance data;
(ii) select a proficiency level for the subject based on proximity between the specimen model and each of the plurality of models; and
(iii) output feedback via the feedback component to the subject when the proficiency level for the subject performance is below a predetermined proficiency level.
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Abstract
Software tools, methods and apparatus for objectively assessing surgical and medical procedural skills are described. Data corresponding to performance of a manipulative task by a subject is modeled using Markov modeling techniques and compared with stored models corresponding to each of a plurality of proficiency levels. A particular proficiency level is selected based on proximity of the subject data relative to each of the stored models.
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Citations
21 Claims
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1. A system for evaluating a relative performance of a manipulative task by a subject, comprising:
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(a) data receiver for receiving subject performance data corresponding to performance of the manipulative task by the subject; (b) a database including a plurality of models, each particular model in a one to one relationship with a particular proficiency level selected from a plurality of proficiency levels, wherein each model corresponds to performance of the manipulative task at a particular proficiency level; (c) a feedback component, the feedback component enabling the system to output feedback relating the performance of the manipulative task by the subject; and (d) a processor coupled to the database and the data receiver, the processor being configured to; (i) generate a specimen model corresponding to the subject performance data; (ii) select a proficiency level for the subject based on proximity between the specimen model and each of the plurality of models; and (iii) output feedback via the feedback component to the subject when the proficiency level for the subject performance is below a predetermined proficiency level. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method for evaluating a relative performance of a manipulative task by a subject, comprising the steps of:
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(a) receiving subject performance data corresponding to performance of a manipulative task by the subject; (b) accessing a database including a plurality of models, each particular model in one to one relation with a particular proficiency level of a plurality of proficiency levels, wherein each model corresponds to performance of the manipulative task at a particular proficiency level; (c) generating a specimen model corresponding to the subject performance data; (d) selecting a proficiency level for the subject based on proximity between the specimen model and each of the plurality of models; and (e) whenever the selected proficiency level deviates from a predetermined proficiency level, providing feedback to the subject that the subject'"'"'s relative performance of the manipulative task is deficient. - View Dependent Claims (11, 12, 13, 14, 15, 16)
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17. A system for evaluating a relative performance of a manipulative task by a subject, comprising:
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(a) at least one joint movably supporting a tool used to perform the manipulative task; (b) at least one sensor for receiving subject performance data corresponding to performance of the manipulative task by the subject, such that at least one sensor is disposed on a joint movably supporting the tool; (c) a database including a plurality of models, each particular model in one to one relation with a particular proficiency level of a plurality of proficiency levels, wherein each model corresponds to performance of the manipulative task at a particular proficiency level; and (d) a processor coupled to the database and at least one sensor and configured to; (i) generate a specimen model corresponding to the subject performance data; and (ii) select a proficiency level for the subject based on proximity between the specimen model and each of the plurality of models. - View Dependent Claims (18, 19, 20, 21)
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Specification