SYSTEM, SENSOR AND METHOD FOR MONITORING HEALTH RELATED ASPECTS OF A PATIENT
A method is provided for detecting an undesirable event or condition in a patient. The method may comprise receiving a first input signal from an UWB radar configured to monitor an environment occupied by the patient and including information representative of the patient's motion. Data derived from the first input signal is processed using a pattern recognition model to detect and classify patterns in the data derived from the first input signal as indicative or predictive of an undesirable event or condition involving the patient. When a pattern is classified as indicative or predictive of an undesirable event or condition in the patient an alarm is issued. A log of data derived from the first input signal and associated with a detection of a pattern classified as indicative or predictive of an undesirable event enables further machine learning in order to create an updated pattern recognition model based on individual patient behavior..
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Patent| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Europäisches Patentamt - (2020) vom: 30. Sept. Zur Gesamtaufnahme - year:2020 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
SIVERTSEN REINERT [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| Themen: |
Sonstige Themen: |
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| Anmerkungen: |
Source: www.epo.org (no modifications made), First posted: 2020-09-30, Last update posted on www.tib.eu: 2024-04-09, Last updated: 2024-04-15 |
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| Patentnummer: |
EP3714465 |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
EPA003059693 |
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| 520 | |a A method is provided for detecting an undesirable event or condition in a patient. The method may comprise receiving a first input signal from an UWB radar configured to monitor an environment occupied by the patient and including information representative of the patient's motion. Data derived from the first input signal is processed using a pattern recognition model to detect and classify patterns in the data derived from the first input signal as indicative or predictive of an undesirable event or condition involving the patient. When a pattern is classified as indicative or predictive of an undesirable event or condition in the patient an alarm is issued. A log of data derived from the first input signal and associated with a detection of a pattern classified as indicative or predictive of an undesirable event enables further machine learning in order to create an updated pattern recognition model based on individual patient behavior. | ||
| 650 | 4 | |a G16H: Healthcare informatics, i.e. information and communication technology [ict] specially adapted for the handling or processing of medical or healthcare data | |
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