ВАН ДЕР ХЕЙДЕ Эстер Марьян (NL),ХЕЙНРИХ Адриенне (NL),ФАЛЬК Томас (NL)
申请号：
RU2014118363/14
公开号：
RU2014118363A
申请日:
2012.09.28
申请国别(地区):
RU
年份:
2015
代理人:
摘要：
1. A system (1, 2, 3) for the automatic monitoring of the patient monitoring and detection of delirium in a patient, comprising: - a block (10) for monitoring data (30) in time images of the patient, - a block (12), the image analysis for event detection patient motion from the data (30) of the image, - control unit (14) estimates for the classification of detected motion events typical delirium motion events and atypical delirium motion events, said unit (14) estimates configured to determine large and / or m mated amounts of movement detected motion events, u block (16) for determining delirium determine estimates (32) the duration of delirium large or small amounts of motion and / or duration, intensity, type, location and / or the emergence of delirium typical motion events, and evaluation referred to (32) points to the likelihood of delirium and / or intensity of delirium in patsienta.2. Monitoring system according to Claim. 1, wherein said control unit (16) determining the delirium is configured to indicate a higher probability and / or a higher intensity of delirium in a patient when there are longer, more intense and / or more frequent typical delirium events. 3. according to claim Monitoring System. 1, wherein said control unit (16) determining the delirium is configured to determine the indicator (34) of the type delirium duration large or small amounts of motion and / or duration, intensity, type, location and / or appearance of typical delirium motion events, said type indicator indicates the type of delirium delirium, namely1. Система (1, 2, 3) мониторинга для автоматизированного мониторинга пациента и обнаружения делирия у пациента, содержащая:- блок (10) мониторинга для получения данных (30) изображения пациента во времени,- блок (12) анализа изображения для обнаружения событий движения пациента по полученным данным (30) изображения,- блок (14) оценки для классификации обнаруженных событий движения на типичные для делирия события движения и на нетипич
