Method and system for training athletes based on athletic signatures and prescription

Abstract

A method for training athletes is disclosed. The method comprises: calculating an athletic signature for an athlete comprising normalized values for the concentric net vertical impulse (CON-IMP), the average eccentric rate of force development (ECC-RFD), and the average vertical concentric force (CON-VF) for the athlete; analyzing the athletic signature; and assigning at least one training block to the athlete based on the analysis of the athletic signature.

1 - 20 . (canceled) 
     
     
         21 . A system for determining an injury risk of a user, the system comprising:
 one or more processors;   a memory coupled to the one or more processors, the memory storing instructions that, when executed by the one or more processors, causes the one or more processors to:
 generate, by a sensing sub-system, force-time data in response to an athletic movement of a user; 
 determine, by an analytical sub-system, a plurality of force-time metrics based on the generated force-time data, the plurality of force-time metrics comprising:
 a concentric net vertical impulse (CON-IMP) metric, 
 an average eccentric rate of force development (CON-VF) metric, and 
 an average vertical concentric force (CON-VF) metric; 
 
 normalize the plurality of force-time metrics; 
 determine, by the analytical sub-system, based on one or more relative differences between the plurality of force-time metrics, an injury risk; and 
 output, by an output sub-system, a graphical representation to a display, wherein the graphical representation comprises:
 a bar chart comprising a plurality of bars, wherein each bar is indicative of a corresponding normalized force-time metric, and 
 an injury risk indicator based on the injury risk. 
 
   
     
     
         22 . The system of  claim 21 , wherein the plurality of bars includes a first bar corresponding to a normalized CON-IMP metric. 
     
     
         23 . The system of  claim 22 , wherein the plurality of bars includes a second bar corresponding to a normalized ECC-RFD metric. 
     
     
         24 . The system of  claim 23 , wherein the plurality of bars includes a third bar corresponding to a normalized CON-VF metric. 
     
     
         25 . The system of  claim 21 , wherein the stored instructions, when executed by the one or more processors, further cause the one or more processors to determine whether the one or more relative differences between the plurality of normalized force-time metrics exceed one or more predetermined thresholds. 
     
     
         26 . The system of  claim 25 , wherein the stored instructions, when executed by the one or more processors, further cause the one or more processors to determine whether a normalized CON-IMP metric is greater than or less than a normalized ECC-RFD metric or a normalized CON-VF metric by a first predetermined threshold. 
     
     
         27 . The system of  claim 26 , wherein the stored instructions, when executed by the one or more processors, further cause the one or more processors to determine whether the normalized ECC-RFD metric is greater than or less than the normalized CON-IMP metric or the normalized CON-VF metric by a second predetermined threshold. 
     
     
         28 . The system of  claim 27 , wherein the stored instructions, when executed by the one or more processors, further cause the one or more processors to determine whether the normalized CON-VF metric is greater than or less than the normalized ECC-RFD metric or the normalized CON-IMP metric by a third predetermined threshold. 
     
     
         29 . The system of  claim 21 , wherein the plurality of force-time metrics is normalized using force-time data of a population. 
     
     
         30 . The system of  claim 29 , wherein the force-time data of the population includes force-time data of a population of athletes that play a same sport as the user. 
     
     
         31 . The system of  claim 29 , wherein the force-time data of the population includes force-time data of a population of athletes that play a same role within a same sport as the user. 
     
     
         32 . The system of  claim 21 , wherein the generated force-time data comprises force-time data of the user generated in response to the user repeating the athletic movement at different times. 
     
     
         33 . The system of  claim 21 , wherein the graphical representation further comprises an exercise protocol indicator based on the injury risk.