METHOD AND APPARATUS FOR HEALTH PREDICTION BY ANALYZING BODY BEHAVIOUR PATTERN

摘要

INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (43) International Publication Date 30 August 2018 (30.08.2018) WIP0 I PCT 0111111010 0111 °nolo O II (10) International Publication Number WO 2018/156071 Al 51 Collectlekvensor data 52 Obtaining a first sensor data representing a first primary body behaviour pattern 53 Obtaining a second sensor data representing a second primary body behaviour pattern, the second primary body behavime pattein is associated with the first primary body behaviour pattern W O 20 18/ 15 607 1 Al (51) International Patent Classification: A61B 5/103 (2006.01) GO8B 21/02 (2006.01) A61B 5/11 (2006.01) (21) International Application Number: PCT/SE2018/050164 (22) International Filing Date: 21 February 2018 (21.02.2018) (25) Filing Language: English (26) Publication Language: English (30) Priority Data: 1750192-5 22 February 2017 (22.02.2017) SE (71) Applicant: NEXT STEP DYNAMICS AB [SE/SE]; c/o Minc Anckargripsgatan 3, 211 19 MALMO (SE). (72) Inventors: SRINIVASAN, Karthik; c Minc, Anckar- gripsgatan 3, 211 19 MALMO (SE). DARIAB, Nooria; Serenadgatan 23, 215 73 MALMO (SE). (74) Agent: ZACCO SWEDEN AB; P.O. Box 5581, Val- hallavagen 117N, 114 85 Stockholm (SE). (81) Designated States (unless otherwise indicated, for every kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG). Published: with international search report (Art. 21(3)) — (54) Title: METHOD AND APPARATUS FOR HEALTH PREDICTION BY ANALYZING BODY BEHAVIOUR PATTERN (57) : The disclosure proposes an electronic device and a method performed in the electronic device for collecting a sensor data from the at least one sensor device, obtaining a first sensor data of the sensor data representing a first primary body behaviour pattern of the person, obtaining a second sensor data of the sensor data representing a second primary body behaviour pattern of the person, the second primary body behaviour pattern is associated with the first primary body behaviour pattern of the person and determining a sensor data difference by comparing the first sensor data with the second sensor data followed by determining a health score value based on the determined sensor data difference. 54 Determining a sensor data iii •rence 55 Determining., S6 Obtaining BM. duration time forte • rst primary body behaviour pattern 7E- 57 t Obtaining a second duration time for the second primary body behaviour pattern 513 Determining a duration time difference Determining a health score value based on the determined sensor data difference and/or the determined duration time difference L SIO 6' representation • •••• I • EsokiyiN rezesentation Fig. 2