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US 11,154,222 B2Granted
Method and system for determining data associated with lower limb activity
AssigneeNational Chiao Tung University
InventorsBing-Shiang Yang, Yu-Tang Wen
Life of this patent
Estimating the term…
Abstract
A method includes steps of: measuring a variation in joint angle of a knee of a cyclist to obtain joint angle data; sensing a torque applied on a crank of a cycle or pedaling force applied to a pedal of the cycle to obtain force data; measuring an angular position of the crank to obtain crank angle data; measuring an electrical potential variation of a measured muscle of the cyclist to generate a measured EMG signal; estimating activation data and joint moment data based on aforementioned data and characteristics data; converting the activation data into estimated EMG signals based on the measured EMG signal and the activation data; and computing a coactivation parameter based on the aforementioned EMG signals.
Claims20
A method for determining data associated with lower limb activity of a cyclist to facilitate diagnosing the cyclist, comprising steps of:
- a) measuring, by a joint angle measuring device during a time period having a preset duration, a variation in joint angle of a knee of the cyclist so as to obtain joint angle data that includes a result of measurement of the variation in joint angle of the knee of the cyclist as the cyclist rides a cycle for the preset duration;
- b) sensing, during the time period, by a force sensing device disposed on the cycle, at least one of torque applied on a crank of the cycle or pedaling force applied to a pedal of the cycle so as to obtain force data that is associated with lower limb force of the cyclist;
- c) measuring, by a rotation measuring device, an angular position of the crank with respect to a reference point of the cycle during the time period so as to obtain crank angle data;
- d) measuring, by a surface electromyography (EMG) measuring device during the time period, a variation in an electrical potential of at least one measured muscle selected from a plurality of lower limb muscles of the cyclist so as to generate a measured EMG signal, where the at least one measured muscle is more assessable than the lower limb muscles other than the at least one measured muscle;
- e) digitalizing, by a digitalizing device, the joint angle data, the force data, the crank angle data and the measured EMG signal, and outputting, by the digitalizing device, the joint angle data, the force data, the crank angle data and the measured EMG signal thus digitalized to a signal processing device;
- f) estimating, by the signal processing device which is executing a musculoskeletal simulation module thereof, plural entries of activation data that are associated respectively with the lower limb muscles of the cyclist, and joint moment data that is associated with joint moment of the knee of the cyclist based on the joint angle data, the force data and the crank angle data thus digitalized, and based further on characteristics data that is associated with gender, body weight and body height of the cyclist, the entries of activation data and the joint moment data thus estimated being correlated;
- g) converting, by the signal processing device which is executing the musculoskeletal simulation module, those of the entries of activation data corresponding respectively to the lower limb muscles other than the at least one measured muscle into estimated EMG signals which are estimation of variations in electrical potentials respectively of the lower limb muscles other than the at least one measured muscle based on the measured EMG signal thus digitalized and at least one of the entries of activation data corresponding to the at least one measured muscle;
- h) computing, by the signal processing device which is executing a data analysis module, a coactivation parameter associated with muscle coactivation of the lower limb muscles of the cyclist based on the measured EMG signal thus digitalized and the estimated EMG signals;
- and
- i) generating, by the signal processing device which is executing the data analysis module, a result report based on the joint moment data and the coactivation parameter, the result report for diagnosing sports injuries in the cyclist.
7 more elements
A system for determining data associated with lower limb activity of a cyclist to facilitate diagnosing the cyclist, comprising:
- a cycle disposed on a trainer rack and configured to be ridden by a cyclist for a preset duration, said cycle including a crank and a pedal connected to said crank;
- a joint angle measuring device configured to measure, during a time period which lasts the preset duration and in which the cyclist rides said cycle, a variation in joint angle of a knee of the cyclist so as to obtain joint angle data that includes a result of measurement of the variation in joint angle of the knee of the cyclist as the cyclist rides said cycle for the preset duration;
- a force sensing device disposed on said cycle and configured to sense, during the time period, at least one of torque applied on said crank of said cycle or pedaling force applied to said pedal of said cycle so as to obtain force data that is associated with lower limb force of the cyclist;
- a rotation measuring device configured to measure an angular position of said crank with respect to a reference point of said cycle during the time period so as to obtain crank angle data;
- a surface electromyography (EMG) measuring device configured to measure, during the time period, a variation in an electrical potential of at least one measured muscle selected from a plurality of lower limb muscles of the cyclist so as to generate a measured EMG signal, where the at least one measured muscle is more assessable than the lower limb muscles other than the at least one measured muscle;
- a digitalizing device configured to digitalize the joint angle data, the force data, the crank angle data and the measured EMG signal, and to output the joint angle data, the force data, the crank angle data and the measured EMG signal thus digitalized;
- and
- a signal processing device electrically connected to said digitalizing device so as to receive the joint angle data, the force data, the crank angle data and the measured EMG signal thus digitalized therefrom, and including a musculoskeletal simulation module and a data analysis module,
- wherein said signal processing device is configured to execute said musculoskeletal simulation module thereof so as to estimate plural entries of activation data that are associated respectively with the lower limb muscles of the cyclist, and joint moment data that is associated with joint moment of the knee of the cyclist based on the joint angle data, the force data and the crank angle data thus digitalized, and based further on characteristics data that is associated with gender, body weight and body height of the cyclist, the entries of activation data and the joint moment data thus estimated being correlated, and
- convert those of the entries of activation data corresponding respectively to the lower limb muscles other than the at least one measured muscle into estimated EMG signals which are estimation of variations in electrical potentials respectively of the lower limb muscles other than the at least one measured muscle based on the measured EMG signal thus digitalized and at least one of the entries of activation data corresponding to the at least one measured muscle, and
- wherein said signal processing device is further configured to execute said data analysis module thereof so as to compute a coactivation parameter associated with muscle coactivation of the lower limb muscles of the cyclist based on the measured EMG signal thus digitalized and the estimated EMG signals;
- wherein said signal processing device is further configured to generate a result report based on the joint moment data and the coactivation parameter, the result report for diagnosing sports injuries in the cyclist.
9 more elements
Dependencies are inferred from the claim text.