MONITORING SYSTEM FOR MONITORING A PATIENT AND DETECTING DELIRIUM OF THE PATIENT
First Claim
1. A monitoring system for automated monitoring of a patient and detecting delirium of the patient, comprising:
- a monitoring unit for obtaining image data of the patient over time,an image analysis unit for detecting motion events of the patient from the obtained image data,an evaluation unit for classifying the detected motion events into delirium-typical motion events and non-delirium-typical motion events, wherein said evaluation unit is configured to determine high and/or low movement counts of detected motion events, anda delirium determination unit for determining a delirium score from the duration of high or low movement counts and/or the duration, intensity, type, location and/or occurrence of delirium-typical motion events, said delirium score indicating the likelihood and/or strength of delirium of the patient.
1 Assignment
0 Petitions
Accused Products
Abstract
The present invention relates to a monitoring system (1, 2, 3) and a corresponding monitoring method for monitoring a patient and detecting delirium of the patient in an unobtrusive manner without the need of on-body sensors. The proposed monitoring system comprises a monitoring unit (10) for obtaining image data (30) of the patient over time, an image analysis unit (12) for detecting motion events of the patient from the obtained image data (30), an evaluation unit (14) for classifying the detected motion events into delirium-typical motion events and non-delirium-typical motion events, and a delirium determination unit (16) for determining a delirium score (32) from the duration, intensity, type, location and/or occurrence of delirium-typical motion events, said delirium score (32) indicating the likelihood and/or strength of delirium of the patient.
-
Citations
15 Claims
-
1. A monitoring system for automated monitoring of a patient and detecting delirium of the patient, comprising:
-
a monitoring unit for obtaining image data of the patient over time, an image analysis unit for detecting motion events of the patient from the obtained image data, an evaluation unit for classifying the detected motion events into delirium-typical motion events and non-delirium-typical motion events, wherein said evaluation unit is configured to determine high and/or low movement counts of detected motion events, and a delirium determination unit for determining a delirium score from the duration of high or low movement counts and/or the duration, intensity, type, location and/or occurrence of delirium-typical motion events, said delirium score indicating the likelihood and/or strength of delirium of the patient. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
-
-
12. A method for monitoring of a patient comprising:
-
obtaining image data of the patient over time, detecting motion events of the patient from the obtained image data, Determining high and/or low movement counts of detected motion events, classifying the detected motion events into delirium-typical motion events and non-delirium-typical motion events, and determining a delirium score for the duration of high or low movement counts and/or the duration, intensity, type, location and/or occurrence of delirium-typical motion events, said delirium score indicating the likelihood and/or strength of delirium of the patient.
-
-
13. A processor for use in an automated monitoring system for monitoring a patient, said processor comprising:
-
a first processing unit for detecting motion events of the patient from image data obtained over time from the patient, a second processing unit for classifying the detected motion events into delirium-typical motion events and non-delirium-typical motion events and for determining high or low movement counts of detected motion events, and a third processing unit for determining a delirium score from the duration of high or low movement counts and/or the duration, intensity, type, location and/or occurrence of delirium-typical motion events, said delirium score indicating the likelihood and/or strength of delirium of the patient.
-
-
14. A processing method for use in and automated monitoring system for monitoring a patient, said processing method comprising:
-
a first processing step for detecting motion events of the patient from image data obtained over time from the patient, a second processing step for classifying the detected motion events into delirium-typical motion events and non-delirium-typical motion events and for determining high or low movement counts of detected motion events, and a third processing step for determining a delirium score from the duration of high or low movement counts and/or the duration, intensity, type, location and/or occurrence of delirium-typical motion events, said delirium score indicating the likelihood and/or strength of delirium of the patient. - View Dependent Claims (15)
-
Specification