DK2921105T3 - Helbredsrisikoindikatorbestemmelse - Google Patents
Helbredsrisikoindikatorbestemmelse Download PDFInfo
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- DK2921105T3 DK2921105T3 DK14160936.2T DK14160936T DK2921105T3 DK 2921105 T3 DK2921105 T3 DK 2921105T3 DK 14160936 T DK14160936 T DK 14160936T DK 2921105 T3 DK2921105 T3 DK 2921105T3
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- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 8
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Classifications
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
- A61B5/024—Measuring pulse rate or heart rate
- A61B5/02416—Measuring pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
- A61B5/024—Measuring pulse rate or heart rate
- A61B5/02438—Measuring pulse rate or heart rate with portable devices, e.g. worn by the patient
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- A—HUMAN NECESSITIES
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
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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
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- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/12—Healthy persons not otherwise provided for, e.g. subjects of a marketing survey
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/02—Details of sensors specially adapted for in-vivo measurements
- A61B2562/0219—Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
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- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
- A61B5/0024—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system for multiple sensor units attached to the patient, e.g. using a body or personal area network
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- A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
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- A—HUMAN NECESSITIES
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
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- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue
- A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
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- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue
- A61B5/14542—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue for measuring blood gases
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- A—HUMAN NECESSITIES
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- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
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- A—HUMAN NECESSITIES
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- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
- A61B5/6898—Portable consumer electronic devices, e.g. music players, telephones, tablet computers
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- A—HUMAN NECESSITIES
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- A—HUMAN NECESSITIES
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- A61B5/7235—Details of waveform analysis
- A61B5/725—Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Cardiology (AREA)
- General Health & Medical Sciences (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Surgery (AREA)
- Heart & Thoracic Surgery (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- Animal Behavior & Ethology (AREA)
- Physics & Mathematics (AREA)
- Physiology (AREA)
- Veterinary Medicine (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Psychiatry (AREA)
- Signal Processing (AREA)
- Databases & Information Systems (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Data Mining & Analysis (AREA)
- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Claims (14)
1. Fremgangsmåde til behandling af hjertefrekvensdata omfattende: en processor (213, 223, 230), der behandler (421, 422) hjertefrekvensdata, indhentet fra en bruger med en sensorindretning (210) over en overvågningsperiode på mindst én dag, afhængigt af brugerens biometriske data, til at bestemme (120, 423) en samlet hjerteslagsværdi for brugeren over nævnte overvågningsperiode; en processor (213, 223, 230), der bestemmer (431) en helbredsprædikativ-aktivitetsscore fra nævnte samlede hjerteslagsværdi i henhold til en model kalibreret med top-oxygenoptagelse af populationsundersøgelsesindivider; en processor (213, 223, 230), der bestemmer (130, 432) en helbredsrisikoindikator for brugeren afledt fra nævnte helbredsprædikativaktivitetsscore; og en brugerindretning (210, 220), der tilvejebringer (440) nævnte helbredsrisikoindikator til brugeren ved hjælp af et brugerinterface (211, 221).
2. Fremgangsmåden ifølge krav 1, hvor nævnte biometriske data omfatter en hvilehjertefrekvensværdi for brugeren og en en maksimal hjertefrekvensværdi for brugeren.
3. Fremgangsmåden ifølge et hvilket som helst af kravene 1 eller 2, hvor overvågningsperioden er mindst fem dage.
4. Fremgangsmåden ifølge et hvilket som helst af kravene 1 til 3, hvor hjertefrekvensdataet er en serie af pulsmålinger.
5. Fremgangsmåden ifølge krav 4, yderligere omfattende at ekstrapolere nævnte serie af pulsmålinger for at fremstille en jævnt fordelt serie af datapunkter eller en kontinuerlig hjertefrekvensfunktion i løbet af overvågningsperioden.
6. Fremgangsmåden ifølge krav 2, eller ifølge et hvilket som helst af kravene 3 til 5 som afhængigt af krav 2, hvor nævnte behandling omfatter normalisering (421) af hjertefrekvensdataet, en jævnt fordelt serie af datapunkter afledt fra hjertefrekvensdataet eller en kontinuerlig funktion afledt fra hjertefrekvensdataet ved at subtrahere nævnte hvilehjertefrekvensværdi og dividere resultatet med forskellen mellem nævnte ene maksimale hjertefrekvensværdi og h vilehjertefrekvensværd ien.
7. Fremgangsmåden ifølge krav 6, hvor nævnte behandling yderligere omfatter at bestemme (422) en serie af intensitetsscorer zk eller en intensitetsscorefunktion z(t) fra en serie af normaliserede hjertefrekvensværdier yk eller en kontinuerlig normaliseret hjertefrekvensfunktion y(t)), en konstant skaleringsfaktor ci og en konstant vægtningsfaktor a i henhold til: zk = ci(ec2 Yk - 1); z(t) = a(ec2 - 1) hvor ci og a vælges fra en flerhed af muligheder i henhold til et eller flere brugerkarakteristika.
8. Fremgangsmåden ifølge krav 7, hvor nævnte samlede hjerteslagsværdi bestemmes som Euler-integrationssummen eller bestemt integral af intensitetsscorerne eller intensitetsfunktionen i løbet af overvågningsperioden.
9. Fremgangsmåden ifølge krav 8, hvor nævnte bestemmelse af helbredsprædikativ-aktivitetsscoren V er i henhold til: V = C3 + C4(l - e'p), hvor P er den samlede hjertefrekvensværdi og konstanterne C3 og C4 bestemmes fra populationsopmålingsdata.
10. Fremgangsmåden ifølge krav 9, hvor helbredsrisikoindikatoren PAI bestemmes i henhold til: pai = 10°^3> Vthreshold hvor Vthreshoid er en konstant valgt fra en flerhed af muligheder i henhold til et eller flere brugerkarakteristika.
11. Fremgangsmåden ifølge et hvilket som helst af de foregående krav, gentaget periodisk, med en gentagelsesperiode: lig med overvågningsperioden således at fremgangsmåden gentages konsekutivt; eller mindre end overvågningsperioden således at fremgangsmåden udføres i et glidende vindue ("sliding window").
12. Fremgangsmåden ifølge et hvilket som helst af de foregående krav, yderligere omfattende at estimere brugerens top aerobe kapacitet under anvendelse af et lavpasfilter på den samlede hjerteslagsværdi eller en værdi afledt derfra og biometrisk data for brugeren.
13. Computerprogramprodukt omfattende computerudførlige instruktioner til udførelse af fremgangsmåden ifølge et hvilket som helst af de foregående krav.
14. System til behandling af hjertefrekvensdata, hvor nævnte system omfatter: en processor (213, 223, 230) konfigureret til at behandle (421, 422) hjertefrekvensdata, indhentet fra en bruger med en sensorindretning (210) over en overvågningsperiode på mindst én dag, afhængigt af brugerens biometriske data, til at bestemme (120, 423) en samlet hjerteslagsværdi for brugeren over nævnte overvågningsperiode; en processor (213, 223, 230) konfigureret til at bestemme (431) en helbredsprædikativ-aktivitetsscore fra nævnte samlede hjerteslagsværdi i henhold til en model kalibreret med top-oxygenoptagelse af populationsundersøgelsesindivider; en processor (213, 223, 230) konfigureret til at bestemme (130, 432) en helbredsrisikoindikator for brugeren afledt fra nævnte helbredsprædikativaktivitetsscore; og en brugerindretning (210, 220), der har et brugerinterface (211, 221), hvor brugerindretningen er konfigureret til at tilvejebringe (440) nævnte helbredsrisikoindikator til brugeren ved hjælp af brugerinterfacet.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP14160936.2A EP2921105B1 (en) | 2014-03-20 | 2014-03-20 | Health risk indicator determination |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| DK2921105T3 true DK2921105T3 (da) | 2018-05-22 |
Family
ID=50345863
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| DK14160936.2T DK2921105T3 (da) | 2014-03-20 | 2014-03-20 | Helbredsrisikoindikatorbestemmelse |
Country Status (11)
| Country | Link |
|---|---|
| US (2) | US10973421B2 (da) |
| EP (2) | EP3348186A1 (da) |
| JP (1) | JP6531161B2 (da) |
| CN (1) | CN107077523B (da) |
| AU (1) | AU2015233337B2 (da) |
| BR (1) | BR112016021493B1 (da) |
| CA (1) | CA2943260C (da) |
| DK (1) | DK2921105T3 (da) |
| MX (1) | MX373784B (da) |
| NO (1) | NO2921105T3 (da) |
| WO (1) | WO2015140338A1 (da) |
Families Citing this family (28)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FI4071581T3 (fi) | 2013-11-29 | 2025-11-19 | Ouraring Inc | Päälle puettava laskentalaite |
| NO2921105T3 (da) | 2014-03-20 | 2018-07-28 | ||
| US9724042B1 (en) * | 2014-12-18 | 2017-08-08 | Hoyos Vsn Corp. | Device, system, and method for adjusting biometric sensing rate based on available energy |
| FI127926B (en) | 2015-12-21 | 2019-05-31 | Suunto Oy | Sensor based context management |
| WO2017171876A1 (en) * | 2016-04-01 | 2017-10-05 | Intel Corporation | Iot sensor fusion |
| US11419509B1 (en) | 2016-08-18 | 2022-08-23 | Verily Life Sciences Llc | Portable monitor for heart rate detection |
| US10311977B2 (en) * | 2017-02-16 | 2019-06-04 | Huff & Enterprises, LLC | Proactive disease state management system |
| US10987006B2 (en) * | 2017-06-02 | 2021-04-27 | Apple Inc. | Wearable computer with fitness machine connectivity for improved activity monitoring using caloric expenditure models |
| WO2019113562A1 (en) | 2017-12-08 | 2019-06-13 | The United States Of America As Represented By The Secretary Of The Army | Systems and methods for monitoring subjects in potential hypoxic distress |
| JP7131073B2 (ja) | 2018-05-22 | 2022-09-06 | オムロンヘルスケア株式会社 | リスク管理装置、リスク管理方法及びリスク管理プログラム |
| CN110600130A (zh) * | 2018-06-13 | 2019-12-20 | 皇家飞利浦有限公司 | 触发针对对象的警报 |
| CN110782991B (zh) * | 2019-10-23 | 2022-06-10 | 吉林大学 | 一种辅助心脏病患者康复运动的实时评价方法 |
| CN111227817A (zh) * | 2020-01-13 | 2020-06-05 | 拉卡拉支付股份有限公司 | 心率监测方法、装置和存储介质 |
| CN113838575A (zh) * | 2020-06-24 | 2021-12-24 | 安徽华米健康科技有限公司 | 基于健康风险评估的预警方法、装置和终端设备 |
| CN114073508B (zh) * | 2020-08-19 | 2026-02-06 | 苏州大学 | 一种评估心血管疾病风险的系统 |
| US12502099B2 (en) | 2020-09-08 | 2025-12-23 | Medtronic, Inc. | Detection of changes in patient health based on peak and non-peak patient activity data |
| JPWO2022080347A1 (da) * | 2020-10-12 | 2022-04-21 | ||
| CN114388128A (zh) * | 2020-10-16 | 2022-04-22 | 安徽华米健康科技有限公司 | 个人运动智能pai指数的检测方法、装置、设备和介质 |
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