“Personalized Health System, Method And Device Having A Sleep Function” in Patent Application Approval Process (USPTO 20220310229): Patent Application

2022 OCT 13 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- A patent application by the inventors Carlone, Terry (Sacramento, CA, US); Green, John (Burke, VA, US); Kaput, James (Madison, WI, US); Morine, Melissa (Avonport, CA); Priami, Corrado (Follonica, IT), filed on March 25, 2022, was made available online on September 29, 2022, according to news reporting originating from Washington, D.C., by NewsRx correspondents.

This patent application has not been assigned to a company or institution.

The following quote was obtained by the news editors from the background information supplied by the inventors: “Health and disease research over the past one hundred years was largely based on reductionist experimental approaches which tested a single variable while holding all other variables constant. This methodology served science and society well, dramatically improving health and longevity. In spite of these advances, multifactorial diseases like obesity, diabetes, and other chronic diseases have become near-epidemics across the world, indicating that reductionistic strategies provide incomplete solutions. The critical concept overlooked from health research and applications is that health results from interactions of multiple in-the-body molecules and processes and many external factors that include nutrition/diet, physical activity/exercise, social activity, and environment while disease results from dysfunctions of one or more interacting processes among these scales. The interaction of the internal and external processes produces emergent (unexpected) properties of the separate macro and micro systems. However, applying these concepts experimentally or directly to the real world has not happened-economic and other disincentives and challenges have deterred integration of knowledge across these different sectors. In addition, it is only recently that advances in artificial intelligence and machine learning, and increases in “big data” computing capacity, have made it possible to harness the large volumes of data involved in digesting and analyzing immensely complex matrices of information interconnected across multiple scales and multiple morbidities.”

In addition to the background information obtained for this patent application, NewsRx journalists also obtained the inventors’ summary information for this patent application: “A personal health system, method and device that maintains a health knowledge base, inputs user characteristics, generates health scores based on the user characteristics and provides recommendations based on the user characteristics, health scores and knowledge base, wherein the recommendations are indicated by the knowledge base to be likely to improve the user’s health scores.

“A first aspect is directed to a personal health system for promoting healthy choices to one or more users. The personal health system comprises at least one computing device including a processor and a non-transitory computer-readable medium coupled with the processor and storing a personal health platform having a user interface, wherein when executed by the processor the personal health platform is operable to provide a user input module that guides a user to input personal characteristics of the user, the personal characteristics including an average nightly sleep duration and a daytime tiredness value, wherein the daytime tiredness value indicates how tired the user feels during daytime as evaluated by the user, determine a duration score for the user based on the average nightly sleep duration of the user, adjust the duration score based on the daytime tiredness value of the user thereby generating and adjusted duration score and generate a sleep score for the user based on the adjusted duration score.

“In some embodiments, the adjusting of the duration score comprises doubling the duration score if the tiredness value is within a first range indicating that the user is not very tired during the daytime. In some embodiments, the adjusting of the duration score comprises halving the duration score if the tiredness value is within a second range indicating that the user is at least very tired during the daytime. In some embodiments, the personal characteristics include a time to fall asleep, a number of times the user wakes up a night, a daytime nap duration and a sleep medication status. In some embodiments, the time to fall asleep indicates how long the user takes to fall asleep and the sleep medication status indicates whether the user currently uses medication for falling asleep. In some embodiments, the personal health platform is operable to convert: the time to fall asleep to an adjusted time to fall asleep value, the number of times the user wakes up a night to an adjusted number of times the user wakes value, and the daytime nap duration to an adjusted daytime nap value. In some embodiments, the sleep score is further based on a combination of the adjusted time to fall asleep value, the adjusted daytime nap value and the adjusted number of times the user wakes value.

“In some embodiments, the personal health platform is operable to lower the sleep score based on the sleep medication status indicating that the user currently uses medication for falling asleep. In some embodiments, the personal health platform is operable to assign a sleep condition to the user based on the sleep score of the user. In some embodiments, the system further comprises a health knowledge base coupled with the device, stored on a non-transitory computer-readable medium and including a plurality of tuples that each include a tuple condition a user is able to have, a factor that affects the condition, and relationship that defines how the factor affects the condition. In some embodiments, the personal health platform is operable to determine a set of the tuples whose tuple condition matches the sleep condition assigned to the user, and generate a recommendation for the user based on at least one of the set, wherein the recommendation identifies the factors of the at least one of the set and whether to increase or decrease each of the factors.

“A second aspect is directed to a non-transitory computer-readable medium storing a personal health platform for promoting healthy choices to one or more users, wherein when executed by a processor the personal health platform is operable to provide a user input module that guides a user to input personal characteristics of the user, the personal characteristics including an average nightly sleep duration and a daytime tiredness value, wherein the daytime tiredness value indicates how tired the user feels during daytime as evaluated by the user, determine a duration score for the user based on the average nightly sleep duration of the user, adjust the duration score based on the daytime tiredness value of the user thereby generating and adjusted duration score and generate a sleep score for the user based on the adjusted duration score.

“In some embodiments, the adjusting of the duration score comprises doubling the duration score if the tiredness value is within a first range indicating that the user is not very tired during the daytime. In some embodiments, the adjusting of the duration score comprises halving the duration score if the tiredness value is within a second range indicating that the user is at least very tired during the daytime. In some embodiments, the personal characteristics include a time to fall asleep, a number of times the user wakes up a night, a daytime nap duration and a sleep medication status. In some embodiments, the time to fall asleep indicates how long the user takes to fall asleep and the sleep medication status indicates whether the user currently uses medication for falling asleep. In some embodiments, the personal health platform is operable to convert: the time to fall asleep to an adjusted time to fall asleep value, the number of times the user wakes up a night to an adjusted number of times the user wakes value, and the daytime nap duration to an adjusted daytime nap value. In some embodiments, the sleep score is further based on a combination of the adjusted time to fall asleep value, the adjusted daytime nap value and the adjusted number of times the user wakes value.

“In some embodiments, the personal health platform is operable to lower the sleep score based on the sleep medication status indicating that the user currently uses medication for falling asleep. In some embodiments, the personal health platform is operable to assign a sleep condition to the user based on the sleep score of the user. In some embodiments, the medium further comprises a health knowledge base stored on the non-transitory computer-readable medium and including a plurality of tuples that each include a tuple condition a user is able to have, a factor that affects the condition, and relationship that defines how the factor affects the condition. In some embodiments, the personal health platform is operable to determine a set of the tuples whose tuple condition matches the sleep condition assigned to the user, and generate a recommendation for the user based on at least one of the set, wherein the recommendation identifies the factors of the at least one of the set and whether to increase or decrease each of the factors.

“A third aspect is directed to a method of implementing a personal health system for promoting healthy choices to one or more users. The method comprises, with at least one computing device, providing a user input module that guides a user to input personal characteristics of the user, the personal characteristics including an average nightly sleep duration and a daytime tiredness value, wherein the daytime tiredness value indicates how tired the user feels during daytime as evaluated by the user, determining a duration score for the user based on the average nightly sleep duration of the user, adjusting the duration score based on the daytime tiredness value of the user thereby generating and adjusted duration score and generating a sleep score for the user based on the adjusted duration score.

“In some embodiments, the adjusting of the duration score comprises doubling the duration score if the tiredness value is within a first range indicating that the user is not very tired during the daytime. In some embodiments, the adjusting of the duration score comprises halving the duration score if the tiredness value is within a second range indicating that the user is at least very tired during the daytime. In some embodiments, the personal characteristics include a time to fall asleep, a number of times the user wakes up a night, a daytime nap duration and a sleep medication status. In some embodiments, the time to fall asleep indicates how long the user takes to fall asleep and the sleep medication status indicates whether the user currently uses medication for falling asleep. In some embodiments, the method further comprises converting: the time to fall asleep to an adjusted time to fall asleep value, the number of times the user wakes up a night to an adjusted number of times the user wakes value, and the daytime nap duration to an adjusted daytime nap value. In some embodiments, the sleep score is further based on a combination of the adjusted time to fall asleep value, the adjusted daytime nap value and the adjusted number of times the user wakes value.”

There is additional summary information. Please visit full patent to read further.”

The claims supplied by the inventors are:

“1. A personal health system for promoting healthy choices to one or more users, the personal health system comprising: at least one computing device including a processor and a non-transitory computer-readable medium coupled with the processor and storing a personal health platform having a user interface, wherein when executed by the processor the personal health platform is operable to: provide a user input module that guides a user to input personal characteristics of the user, the personal characteristics including an average nightly sleep duration and a daytime tiredness value, wherein the daytime tiredness value indicates how tired the user feels during daytime as evaluated by the user; determine a duration score for the user based on the average nightly sleep duration of the user; adjust the duration score based on the daytime tiredness value of the user thereby generating and adjusted duration score; and generate a sleep score for the user based on the adjusted duration score.

“2. The personal health system of claim 1, wherein the adjusting of the duration score comprises doubling the duration score if the tiredness value is within a first range indicating that the user is not very tired during the daytime.

“3. The personal health system of claim 2, wherein the adjusting of the duration score comprises halving the duration score if the tiredness value is within a second range indicating that the user is at least very tired during the daytime.

“4. The personal health system of claim 3, wherein the personal characteristics include a time to fall asleep, a number of times the user wakes up a night, a daytime nap duration and a sleep medication status.

“5. The personal health system of claim 4, wherein the time to fall asleep indicates how long the user takes to fall asleep and the sleep medication status indicates whether the user currently uses medication for falling asleep.

“6. The personal health system of claim 5, wherein the personal health platform is operable to convert: the time to fall asleep to an adjusted time to fall asleep value, the number of times the user wakes up a night to an adjusted number of times the user wakes value, and the daytime nap duration to an adjusted daytime nap value.

“7. The personal health system of claim 6, wherein the sleep score is further based on a combination of the adjusted time to fall asleep value, the adjusted daytime nap value and the adjusted number of times the user wakes value.

“8. The personal health system of claim 7, wherein the personal health platform is operable to lower the sleep score based on the sleep medication status indicating that the user currently uses medication for falling asleep.

“9. The personal health system of claim 8, wherein the personal health platform is operable to assign a sleep condition to the user based on the sleep score of the user.

“10. The personal health system of claim 9, further comprising a health knowledge base coupled with the device, stored on a non-transitory computer-readable medium, and including a plurality of tuples that each include a tuple condition a user is able to have, a factor that affects the condition, and relationship that defines how the factor affects the condition.

“11. The personal health system of claim 10, wherein the personal health platform is operable to determine a set of the tuples whose tuple condition matches the sleep condition assigned to the user, and generate a recommendation for the user based on at least one of the set, wherein the recommendation identifies the factors of the at least one of the set and whether to increase or decrease each of the factors.

“12. A non-transitory computer-readable medium storing a personal health platform for promoting healthy choices to one or more users, wherein when executed by a processor the personal health platform is operable to: provide a user input module that guides a user to input personal characteristics of the user, the personal characteristics including an average nightly sleep duration and a daytime tiredness value, wherein the daytime tiredness value indicates how tired the user feels during daytime as evaluated by the user; determine a duration score for the user based on the average nightly sleep duration of the user; adjust the duration score based on the daytime tiredness value of the user thereby generating and adjusted duration score; and generate a sleep score for the user based on the adjusted duration score.

“13. The medium of claim 12, wherein the adjusting of the duration score comprises doubling the duration score if the tiredness value is within a first range indicating that the user is not very tired during the daytime.

“14. The medium of claim 13, wherein the adjusting of the duration score comprises halving the duration score if the tiredness value is within a second range indicating that the user is at least very tired during the daytime.

“15. The medium of claim 14, wherein the personal characteristics include a time to fall asleep, a number of times the user wakes up a night, a daytime nap duration and a sleep medication status.

“16. The medium of claim 15, wherein the time to fall asleep indicates how long the user takes to fall asleep and the sleep medication status indicates whether the user currently uses medication for falling asleep.

“17. The medium of claim 16, wherein the personal health platform is operable to convert: the time to fall asleep to an adjusted time to fall asleep value, the number of times the user wakes up a night to an adjusted number of times the user wakes value, and the daytime nap duration to an adjusted daytime nap value.

“18. The medium of claim 17, wherein the sleep score is further based on a combination of the adjusted time to fall asleep value, the adjusted daytime nap value and the adjusted number of times the user wakes value.

“19. The medium of claim 18, wherein the personal health platform is operable to lower the sleep score based on the sleep medication status indicating that the user currently uses medication for falling asleep.

“20. The medium of claim 19, wherein the personal health platform is operable to assign a sleep condition to the user based on the sleep score of the user.

“21. The medium of claim 20, further comprising a health knowledge base stored on the non-transitory computer-readable medium and including a plurality of tuples that each include a tuple condition a user is able to have, a factor that affects the condition, and relationship that defines how the factor affects the condition.

“22. The medium of claim 21, wherein the personal health platform is operable to determine a set of the tuples whose tuple condition matches the sleep condition assigned to the user, and generate a recommendation for the user based on at least one of the set, wherein the recommendation identifies the factors of the at least one of the set and whether to increase or decrease each of the factors.

“23. A method of implementing a personal health system for promoting healthy choices to one or more users, the method comprising: with at least one computing device: providing a user input module that guides a user to input personal characteristics of the user, the personal characteristics including an average nightly sleep duration and a daytime tiredness value, wherein the daytime tiredness value indicates how tired the user feels during daytime as evaluated by the user; determining a duration score for the user based on the average nightly sleep duration of the user; adjusting the duration score based on the daytime tiredness value of the user thereby generating and adjusted duration score; and generating a sleep score for the user based on the adjusted duration score.

“24. The method of claim 23, wherein the adjusting of the duration score comprises doubling the duration score if the tiredness value is within a first range indicating that the user is not very tired during the daytime.

“25. The method of claim 24, wherein the adjusting of the duration score comprises halving the duration score if the tiredness value is within a second range indicating that the user is at least very tired during the daytime.

“26. The method of claim 25, wherein the personal characteristics include a time to fall asleep, a number of times the user wakes up a night, a daytime nap duration and a sleep medication status.

“27. The method of claim 26, wherein the time to fall asleep indicates how long the user takes to fall asleep and the sleep medication status indicates whether the user currently uses medication for falling asleep.

“28. The method of claim 27, further comprising converting: the time to fall asleep to an adjusted time to fall asleep value, the number of times the user wakes up a night to an adjusted number of times the user wakes value, and the daytime nap duration to an adjusted daytime nap value.

“29. The method of claim 28, wherein the sleep score is further based on a combination of the adjusted time to fall asleep value, the adjusted daytime nap value and the adjusted number of times the user wakes value.

“30. The method of claim 29, further comprising lowering the sleep score based on the sleep medication status indicating that the user currently uses medication for falling asleep.

“31. The method of claim 30, further comprising assigning a sleep condition to the user based on the sleep score of the user.

“32. The method of claim 31, wherein the personal health platform is coupled with a health knowledge base coupled with the device, stored on a non-transitory computer-readable medium and including a plurality of tuples that each include a tuple condition a user is able to have, a factor that affects the condition, and relationship that defines how the factor affects the condition.”

There are additional claims. Please visit full patent to read further.

URL and more information on this patent application, see: Carlone, Terry; Green, John; Kaput, James; Morine, Melissa; Priami, Corrado. Personalized Health System, Method And Device Having A Sleep Function. Filed March 25, 2022 and posted September 29, 2022. Patent URL: https://appft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PG01&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.html&r=1&f=G&l=50&s1=%2220220310229%22.PGNR.&OS=DN/20220310229&RS=DN/20220310229

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