MONITORING SYSTEM FOR MONITORING A PATIENT AND DETECTING DELIRIUM OF THE PATIENT

• US 20140235969A1
• Filed: 09/28/2012
• Published: 08/21/2014
• Est. Priority Date: 10/07/2011
• Status: Active Grant

• Current Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Original Assignee: Koninklijke Philips N.V.
• Inventors: Heinrich, Adrienne, Falck, Thomas, Van Der Heide, Esther Marjan
• Granted Patent: US 10,111,593 B2
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 5/0064 Body surface scanning
• CPC Class Codes: A61B 5/0077 Devices for viewing the surface of the body, e.g. camera, magnifying lens
• CPC Class Codes: A61B 5/053 Measuring electrical impedance or conductance of a portion of the body
• CPC Class Codes: A61B 5/1113 Local tracking of patients, e.g. in a hospital or private home
• CPC Class Codes: A61B 5/1116 Determining posture transitions
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1128 using image analysis A61B5/1127 takes precedence
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/4088 Diagnosing of monitoring cognitive diseases, e.g. Alzheimer, prion diseases or dementia
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: F04C 2270/041 Controlled or regulated

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.

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.

2. The monitoring system as claimed in claim 1, wherein said delirium determination unit is configured to indicate a higher likelihood and/or higher strength of delirium of the patient the longer, more intense and/or more often delirium-typical motion events occur.

3. The monitoring system as claimed in claim 1, wherein said delirium determination unit is configured to determine a delirium type indicator from the duration of high or low movement counts and/or from the duration, intensity, type., location and/or occurrence of delirium-typical motion events, said delirium type indicator indicating the type of delirium including hyperactive delirium, hypoactive delirium and mixed hyperactive and hypoactive delirium.

4. The monitoring system as claimed in claim 3, wherein said delirium determination unit is configured to determine the delirium type indicator to indicate hyperactive delirium if the accumulated duration of hyperactive periods in a first time interval exceeds a first duration threshold and to determine the delirium type indicator to indicate hypoactive delirium if the accumulated duration of hypoactive periods in said first time interval exceeds a second duration threshold.

5. The monitoring system as claimed in claim 1, wherein said delirium determination unit is configured to determine the delirium score to indicate non-delirium if there is a substantial difference of movement counts between day and night time and/or if the movement counts in a predetermined time interval are between a third and fourth movement count threshold.

6. The monitoring system as claimed in claim 1, wherein said monitoring unit is configured to continuously or at regular intervals obtain image data of the patient, in particular to obtain video data of the patient by use of a video camera.

7. The monitoring system as claimed in claim 1,

further comprising an information determination unit for determining additional information about the patient from said image data and/or said detected motion events, said additional information including one or more of a mean activity of the patient in a predetermined time interval, detected motion patterns, motion events of predetermined parts of the patient'"'"'s body and changes and/or trends of the patient'"'"'s activity.

8. The monitoring system as claimed in claim 1, wherein said delirium determination unit is configured to determine said delirium score by additionally using additional physiological information about the patient, in particular EEG data and/or skin conductance data of the patient.

9. The monitoring system as claimed in claim 8, wherein said delirium determination unit is configured to compare said additional physiological information about the patient with reference physiological information indicative for delirium, in particular to compare EEG data and/or skin conductance data of the patient with typical patterns of EEG data and/or skin conductance data indicative for delirium.

10. The monitoring system as claimed in claim 9,

further comprising a storage unit for storing said reference physiological information indicative for delirium, in particular typical patterns of EEG data and/or skin conductance data indicative for delirium.

11. The monitoring system as claimed in claim 8,

further comprising a physiological data acquisition unit for acquiring additional physiological information about the patient, in particular EEG data and/or skin conductance data of the patient.

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.

15. A computer program comprising program code means for causing a computer to carry out the steps of the processing method as claimed in claim 14 when said computer program is carried out on the computer.