Search International and National Patent Collections
Some content of this application is unavailable at the moment.
If this situation persists, please contact us atFeedback&Contact
1. (WO2017136352) MACHINE LEARNT MODEL TO DETECT REM SLEEP PERIODS USING A SPECTRAL ANALYSIS OF HEART RATE AND MOTION
Latest bibliographic data on file with the International Bureau

Pub. No.: WO/2017/136352 International Application No.: PCT/US2017/015860
Publication Date: 10.08.2017 International Filing Date: 31.01.2017
IPC:
A61B 5/00 (2006.01) ,A61B 5/024 (2006.01) ,A61B 5/04 (2006.01)
A HUMAN NECESSITIES
61
MEDICAL OR VETERINARY SCIENCE; HYGIENE
B
DIAGNOSIS; SURGERY; IDENTIFICATION
5
Measuring for diagnostic purposes; Identification of persons
A HUMAN NECESSITIES
61
MEDICAL OR VETERINARY SCIENCE; HYGIENE
B
DIAGNOSIS; SURGERY; IDENTIFICATION
5
Measuring for diagnostic purposes; Identification of persons
02
Measuring pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography; Heart catheters for measuring blood pressure
024
Measuring pulse rate or heart rate
A HUMAN NECESSITIES
61
MEDICAL OR VETERINARY SCIENCE; HYGIENE
B
DIAGNOSIS; SURGERY; IDENTIFICATION
5
Measuring for diagnostic purposes; Identification of persons
04
Measuring bioelectric signals of the body or parts thereof
Applicants:
VERILY LIFE SCIENCES LLC [US/US]; 1600 Amphitheatre Parkway Mountain View, CA 94043, US
Inventors:
SHIMOL, David Ben; US
SHOEB, Ali; US
Agent:
CHEN, Han-Wei (Harvey); US
Priority Data:
62/289,79601.02.2016US
Title (EN) MACHINE LEARNT MODEL TO DETECT REM SLEEP PERIODS USING A SPECTRAL ANALYSIS OF HEART RATE AND MOTION
(FR) MODÈLE APPRIS PAR MACHINE POUR DÉTECTER LES PÉRIODES DU SOMMEIL PARADOXAL UTILISANT UNE ANALYSE SPECTRALE DE FRÉQUENCE CARDIAQUE ET DE MOUVEMENT
Abstract:
(EN) Systems and methods are provided for probabilistically estimating an individual's sleep stage based on spectral analyses of pulse rate and motion data. The embodiments include receiving signals from sensors worn by the individual, including a photoplethysmographic (PPG) signal and an accelerometer signal. The embodiments may divide the PPG signal into segments and determining a beat interval associated with each segment. The embodiments may resample the set of beat intervals to generate an interval signal. The embodiments may generate signal features based on the interval signal and the accelerometer signal, including a spectrogram of the interval signal. The embodiments may determine a sleep stage for the individual by comparing the signal features to a sleep stage classifier included in a learning library, wherein the sleep stage classifier comprises one or more functions defining a likelihood that the individual is in the sleep stage based on the signal features.
(FR) L'invention concerne des systèmes et procédés pour estimer de manière probabiliste le stade de sommeil d'un individu sur la base d'analyses spectrales des données de pouls et de mouvement. Les modes de réalisation consistent à recevoir des signaux de capteurs portés par l'individu, comprenant un signal photopléthysmographique (PPG) et un signal d'accéléromètre. Les modes de réalisation peuvent diviser le signal PPG en segments et déterminer un intervalle de battement associé à chaque segment. Les modes de réalisation peuvent rééchantillonner l'ensemble d'intervalles de battement pour générer un signal d'intervalle. Les modes de réalisation peuvent générer des caractéristiques de signal sur la base du signal d'intervalle et du signal d'accéléromètre, comprenant un spectrogramme du signal d'intervalle. Les modes de réalisation peuvent déterminer un stade du sommeil de l'individu en comparant les caractéristiques de signal à un classificateur de stades du sommeil inclus dans une bibliothèque d'apprentissage, le classificateur de stades de sommeil comprenant une ou plusieurs fonctions définissant une probabilité que l'individu est en phase de sommeil sur la base des caractéristiques de signal.
Designated States: 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, 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
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Organization (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (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)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: English (EN)
Filing Language: English (EN)
Also published as:
CN108778102EP3410924