DK2710503T3 - Optisk dataregistrering af træningsdata for at fremme en sundhedsscoreberegning - Google Patents
Optisk dataregistrering af træningsdata for at fremme en sundhedsscoreberegning Download PDFInfo
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- DK2710503T3 DK2710503T3 DK12724099.2T DK12724099T DK2710503T3 DK 2710503 T3 DK2710503 T3 DK 2710503T3 DK 12724099 T DK12724099 T DK 12724099T DK 2710503 T3 DK2710503 T3 DK 2710503T3
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- parameters
- physical activity
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Classifications
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
- G16Z99/00—Subject matter not provided for in other main groups of this subclass
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/05—Image processing for measuring physical parameters
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/80—Special sensors, transducers or devices therefor
- A63B2220/807—Photo cameras
Claims (12)
1. Computerimplementeret fremgangsmåde til at behandle sundhedsrelaterede data, der omfatter trinene til: at modtage data i en hukommelse, der repræsenterer en flerhed af en brugers fysiske aktivitetsparametre, hvor trinet til at modtage fysiske aktivitetsparametre omfatter: at registrere (300) et eller flere billeder fra en skærm, der er koblet til en træningsmaskine (107); at behandle data, der er indbefattet i de registrerede billeder; at identificere de fysiske aktivitetsparametre fra de behandlede data (320); at lagre de modtagne data i hukommelsen (330); at opdatere en for brugeren specifik profil med tidligere registrerede modtagne data i hukommelsen (340); og at tilvejebringe profilen til brugeren gennem en portal (350).
2. Fremgangsmåde ifølge krav 1, hvor behandlingen omfatter anvendelse af en optisk tegngenkendelsesalgoritme på de registrerede billeder for at udtrække tekst, der anvendes i det identificerende trin (320).
3. Fremgangsmåde ifølge krav 1, hvor behandlingen omfatter anvendelse af en billedsammenligningsalgoritme, der udlæser et resultat, som er brugbart i det identificerende trin.
4. Fremgangsmåde ifølge krav 1, hvor trinet til at identificere de fysiske aktivitetsparametre yderligere omfatter: at identificere sekvenser af tegn i teksten; at kategorisere sekvenserne af tegn i overensstemmelse med en eller flere datatyper; og at etablere rumlige forhold mellem sekvenserne.
5. Fremgangsmåde ifølge krav 1, der yderligere omfatter trinet til at identificere en producents varemærke af træningsmaskinen inden for de registrerede billeder.
6. Fremgangsmåde ifølge krav 5, der yderligere omfatter trinet til at udtrække tekst fra et begrænset område af billedet som pålagt af fabrikatet af træningsmaskinen.
7. Fremgangsmåde ifølge krav 1, der yderligere omfatter trinene til: at modtage en flerhed af brugerens medicinske parametre (1230) i hukommelsen; at lagre vægtningsfaktorer i hukommelsen (1240); at behandle de modtagne data med eksekveringskode i en processor, der konfigurerer processoren til at anvende vægtningsfaktorer, der er lagret i hukommelsen til de medicinske parametre og de fysiske aktivitetsparametre (1250); at transformere de behandlede data, der vedrører de medicinske parametre og de fysiske aktivitetsparametre med eksekveringskode i processoren ind i en maskeret sammensat talværdi, i hvilken koden er operativ for at kombinere de vægtede parametre i overensstemmelse med en algoritme (1260); og automatisk at offentliggøre den maskerede sammensatte talværdi til en nærmere angivet gruppe via portalen ved anvendelse af kodeeksekvering i processoren og fri for menneskelig indgriben, medens den indsamlede information, der vedrører de medicinske parametre og de fysiske aktivitetsparametre, bevares private.
8. Fremgangsmåde ifølge krav 7, hvor vægtningsfaktorerne for de fysiske aktivitetsparametre indbefatter en nedbrydningskomponent, der er indrettet til at reducere den relative vægt af de fysiske aktivitetsparametre for en fysisk aktivitet i afhængighed af i det mindste en faktor, der er forbundet med brugeren.
9. Fremgangsmåde ifølge krav 8, hvor faktoren, der er forbundet med brugeren, er en alder eller et aldersområde af brugeren, således at nedbrydningskomponenten reducerer den relative vægt af de fysiske aktivitetsparametre for en første bruger med en første alder eller aldersområde, der er forskellig fra en anden bruger med en anden alder eller aldersområde.
10. Fremgangsmåde ifølge krav 7, hvor trinene til at behandle, transformere og offentliggøre eksekveres i det væsentlige automatisk ved modtagelse af data på medicinske parametre eller en brugers parametre.
11. Fremgangsmåde ifølge krav 1, der yderligere omfatter trinene til: at kommunikere i det mindste en del af loggen til træningsmaskinen og automatisk oprette et træningsprogram på træningsmaskinen på dette grundlag.
12. Fremgangsmåde ifølge krav 7, hvor trinet til at behandle de modtagne fysiske aktivitetsparametre indbefatter: at opnå et mål for forbrugte kalorier under den fysiske aktivitet i hukommelsen; og at eksekvere yderligere kode i processoren, der konfigurerer processoren til: at transformere de målte kalorier til en metabolisk ækvivalent-, MET, værdi ved at dele med brugerens kropsvægt; at dele MET værdien mellem en sundhedspool og en bonuspool, hvor bonuspoolen har en forudbestemt størrelse, og enhver delt MET værdi, som overstiger bonuspoolstørrelsen, tildeles til sundhedspoolen; og at anvende en daglig nedbrydningskomponent til bonuspoolen; hvor trinet til at transformere de behandlede data omfatter at kombinere de vægtede medicinske parametre og en vægtet sundhedspoolværdi i overensstemmelse med algoritmen.
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201161486658P | 2011-05-16 | 2011-05-16 | |
US13/423,051 US9378336B2 (en) | 2011-05-16 | 2012-03-16 | Optical data capture of exercise data in furtherance of a health score computation |
PCT/EP2012/058946 WO2012156374A1 (en) | 2011-05-16 | 2012-05-14 | Optical data capture of exercise data in furtherance of a health score computation |
Publications (1)
Publication Number | Publication Date |
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DK2710503T3 true DK2710503T3 (da) | 2016-03-07 |
Family
ID=47175527
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
DK12724099.2T DK2710503T3 (da) | 2011-05-16 | 2012-05-14 | Optisk dataregistrering af træningsdata for at fremme en sundhedsscoreberegning |
Country Status (9)
Country | Link |
---|---|
US (3) | US9378336B2 (da) |
EP (1) | EP2710503B1 (da) |
AU (1) | AU2012257754A1 (da) |
BR (1) | BR112013029467B1 (da) |
CA (1) | CA2836381C (da) |
DK (1) | DK2710503T3 (da) |
HK (1) | HK1195961A1 (da) |
RU (1) | RU2607953C2 (da) |
WO (1) | WO2012156374A1 (da) |
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EP2710503A1 (en) | 2014-03-26 |
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