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AI Biotech/Diagnostics: Cardio

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Application US20210050086


Published 2021-02-18

Generating Optimised Workout Plans Using Genetic And Physiological Data

The present invention includes methods and systems for generating an optimised workout plan for an individual based on the individual's genetic, physiological, behavioural and lifestyle data. By taking an individual's genetic and environmental data into account, a workout plan can built from individual exercises and exercise parameters in a way that is optimised for the individual's physiological traits.



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3 Independent Claims

  • 1. A computer-implemented method of generating an optimised workout plan for an individual, the method comprising: receiving genetic data, the genetic data describing a plurality of genetic factors of the individual; receiving environmental data, the environmental data describing a plurality of environmental factors of the individual; calculating a trait score for each of a plurality of traits based on the genetic data and environmental data; defining a trait profile for the individual from the trait scores, said trait profile characterizing the user's physiological response to exercise; generating an optimised workout plan for the individual by: categorising days in a given time period into day types according to a training type and trait profile; for each categorised day, identifying one or more exercises according to the day type and the trait profile; for each identified exercise, determining one of more exercise parameters according to the individual's trait profile; and compiling the categorised days, identified exercises and exercise parameters into an optimised workout plan covering the given time period; and transmitting the optimised workout plan to the individual or a healthcare practitioner.

  • 27. A data-processing system comprising: means for receiving genetic data, the genetic data describing a plurality of genetic factors of the individual; means for receiving environmental data, the environmental data describing a plurality of environmental factors of the individual; means for calculating a trait score for each of a plurality of traits based on the genetic data and environmental data; means for defining a trait profile for the individual from the trait scores, said trait profile characterizing the user's physiological response to exercise; means for generating an optimised workout plan for the individual by: categorising days in a given time period into day types according to a training type and trait profile; for each categorised day, identifying one or more exercises according to the day type and the trait profile; for each identified exercise, determining one of more exercise parameters according to the individual's trait profile; compiling the categorised days, identified exercises and exercise parameters into an optimised workout plan covering the given time period; and means for transmitting the optimised workout plan to the individual or a healthcare practitioner.

  • 28. A non-transitory machine readable medium, having stored thereon instructions for performing a method of generating an optimised workout plan for an individual, comprising machine executable code which when executed by at least one machine, causes the machine to: receive genetic data, the genetic data describing a plurality of genetic factors of the individual; receive environmental data, the environmental data describing a plurality of environmental factors of the individual; calculate a trait score for each of a plurality of traits based on the genetic data and environmental data; define a trait profile for the individual from the trait scores, said trait profile characterizing the user's physiological response to exercise; generate an optimised workout plan for the individual by: categorising days in a given time period into day types according to a training type and trait profile; for each categorised day, identifying one or more exercises according to the day type and the trait profile; for each identified exercise, determining one of more exercise parameters according to the individual's trait profile; and compiling the categorised days, identified exercises and exercise parameters into an optimised workout plan covering the given time period; and transmit the optimised workout plan to the individual or a healthcare practitioner.