Brain state monitoring method, equipment, storage medium and device
The invention discloses a brain state monitoring method and device, and a storage medium. Brain magnetic resonance imaging information is analyzed based on a preset MRI analysis model to obtain an image analysis result, and questionnaire information is analyzed based on a preset sentiment analysis model to obtain a sentiment analysis result; the brain state information of the target object is determined based on the image analysis result, the sentiment analysis result and a preset standard condition, and compared with the prior art that the monitoring mode is single, so that the brain state information of the to-be-monitored object in all aspects cannot be accurately determined, medical resources are wasted, and the monitoring efficiency is high. According to the method, the problem that the monitoring mode is single is solved, the brain state information of the target object is determined by combining the image analysis result and the emotion analysis result, more accurate brain state monitoring and accurate brain state change rules can be achieved, the workload of doctors is reduced, and medical resource waste is reduced..
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Patent| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Europäisches Patentamt - (2023) vom: 21. Juli Zur Gesamtaufnahme - year:2023 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
LIAO XUEJIAO [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: 2023-07-21, Last update posted on www.tib.eu: 2023-11-28, Last updated: 2023-12-01 |
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| Patentnummer: |
CN116469579 |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
EPA018224318 |
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| 500 | |a Source: www.epo.org (no modifications made), First posted: 2023-07-21, Last update posted on www.tib.eu: 2023-11-28, Last updated: 2023-12-01 | ||
| 520 | |a The invention discloses a brain state monitoring method and device, and a storage medium. Brain magnetic resonance imaging information is analyzed based on a preset MRI analysis model to obtain an image analysis result, and questionnaire information is analyzed based on a preset sentiment analysis model to obtain a sentiment analysis result; the brain state information of the target object is determined based on the image analysis result, the sentiment analysis result and a preset standard condition, and compared with the prior art that the monitoring mode is single, so that the brain state information of the to-be-monitored object in all aspects cannot be accurately determined, medical resources are wasted, and the monitoring efficiency is high. According to the method, the problem that the monitoring mode is single is solved, the brain state information of the target object is determined by combining the image analysis result and the emotion analysis result, more accurate brain state monitoring and accurate brain state change rules can be achieved, the workload of doctors is reduced, and medical resource waste is reduced. | ||
| 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 | |
| 650 | 4 | |a inf | |
| 650 | 4 | |a G06T: Image data processing or generation, in general | |
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