IP Library Granted Patent US 10,709,376
Granted Patent B2
US 10,709,376 · App. 15/575,998 · Granted Jul 14, 2020

System for supporting an elderly, frail and/or diseased person

Inventors: Jan Johannes Gerardus De Vries (Leende, NL); Mirela Alina Weffers-Albu (Boukoul, NL)
Assignee: KONINKLIJKE PHILIPS N.V.
A61B5/4082A61B5/048A61B5/0488A61B5/1117A61B5/1123A61B5/1128A61B5/165A61B5/742A61B5/7405A61B5/746A61B5/7455G06F19/3481G16H20/30A61B5/1118A61B2562/0219
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Quick Facts
Patent No.
US 10,709,376
App. No.
15/575,998
Granted
Jul 14, 2020
Kind
B2
Abstract

The present invention relates to a system ( 10 ) for supporting an elderly, frail and/or diseased person ( 12 ), in particular a person suffering from Parkinson's disease, wherein the system ( 10 ) comprises: a detection unit ( 14 ) including (i) a brain activity sensor ( 20 ) for detecting a brain activity signal relating to the brain activity of the person ( 12 ) and (ii) a motion detection unit ( 22 ) for detecting a motion signal relating to a motion of one or more body parts of the person ( 12 ); an analysis unit ( 16 ) for determining, based on the detected brain activity signal and motion signal, an activity level of the person ( 12 ) which is indicative of the motoric and cognitive activity of the person ( 12 ); and a feedback unit ( 18 ) for providing a feedback to the person ( 12 ) if the activity level of the person ( 12 ) exceeds a predetermined threshold.

Claims (42)

1. A system for supporting an elderly, frail and/or diseased person, wherein the system comprises:

a detection unit including

(i) a brain activity sensor configured to detect a brain activity signal relating to brain activity of the person and

(ii) a motion detection unit configured to detect a motion signal relating to a motion of one or more body parts of the person;

an analysis unit configured to

determine, based on the detected brain activity signal and the detected motion signal, an activity level of the person which is indicative of how many different motoric and cognitive tasks the person is performing simultaneously, and

determine, based on the detected brain activity signal and the detected motion signal, whether the person is walking; and

a feedback unit configured to provide a feedback to the person the person is walking and the activity level of the person exceeds a predetermined threshold.

2. The system of claim 1 , wherein the brain activity signal includes a plurality of different signal components each relating to the brain activity in a different region of the brain of the person, and the analysis unit is further configured to

determine the activity level of the person by analyzing the different signal components in order to estimate how many different motoric and cognitive tasks the person is performing simultaneously.

3. The system of claim 2 , wherein the analysis unit is further configured to

consider the activity level of the person as exceeding the predetermined threshold and

steer the feedback unit to provide the feedback after a first one of the different signal components which relates to the brain activity in a first region of the brain of the person indicates a brain activity in said first region above a first predetermined brain activity level.

4. The system of claim 2 , wherein the analysis unit is further configured to consider the activity level of the person as exceeding the predetermined threshold and steer the feedback unit to provide the feedback after a first one of the different signal components which relates to the brain activity in a first region of the brain of the person indicates a brain activity in said first region above a first predetermined brain activity level and after simultaneously a second one of the different signal components which relates to the brain activity in a second region of the brain of the person indicates a brain activity in said second region above a second predetermined brain activity level.

5. The system of claim 1 , wherein the brain activity sensor is an EEG sensor and the brain activity signal is an EEG signal, and wherein the analysis unit is further configured to determine the activity level of the person by analyzing the EEG signal in one or more ranges of the frequency spectrum of the EEG signal in the frequency domain.

6. The system of claim 5 , wherein the analysis unit is further configured to analyze at least one of (i) a signal power in the whole frequency spectrum of the EEG signal, (ii) a signal power in the alpha band of the EEG signal, and (iii) a signal power in the beta band of the EEG signal.

7. The system of claim 6 , wherein the analysis unit is further configured to consider the activity level of the person as exceeding the predetermined threshold and steer the feedback unit to provide the feedback after at least one of (i) the signal power in the whole frequency spectrum of the EEG signal is above a first threshold value, (ii) the signal power in the alpha band of the EEG signal is below a second threshold value, and/or (iii) the signal power in the beta band of the EEG signal is above a third threshold value.

8. The system of claim 1 , wherein the analysis unit is further configured to

consider the activity level of the person as exceeding the predetermined threshold, and

steer the feedback unit to provide the feedback after it is determined, based on the detected brain activity signal and the detected motion signal, that the person is walking and simultaneously performing an additional motoric and/or cognitive task.

9. The system of claim 1 , further comprising:

a memory unit configured to store a reference brain activity signal and/or a reference motion signal, wherein the analysis unit is further configured to

determine the activity level of the person by comparing the detected brain activity signal and the detected motion signal with the reference brain activity signal and/or reference motion signal, respectively.

10. The system of claim 1 , wherein the motion detection unit comprises one or more accelerometers.

11. The system of claim 1 , wherein the motion detection unit comprises an optical motion sensor.

12. The system of claim 1 , wherein the motion detection unit comprises an electromyography sensor.

13. The system of claim 1 , wherein the feedback unit comprises at least one of

(i) a loudspeaker configured to provide audible feedback to the person,

(ii) a display or light actuator configured to provide visual feedback to the person, and

(iii) a tactile actuator configured to provide tactile feedback to the person.

14. A method for supporting an elderly, frail and/or diseased person, wherein the method comprises:

receiving a brain activity signal relating to the brain activity of the person;

receiving a motion signal relating to a motion of one or more body parts of the person;

determining, based on the detected brain activity signal and the detected motion signal, an activity level of the person which is indicative of how many different motoric and cognitive tasks the person is performing simultaneously;

determining, based on the detected brain activity signal and the detected motion signal, whether the person is walking; and

providing a feedback to the person after the person is walking and the activity level of the person exceeds a predetermined threshold.

15. A non-transitory computer-readable medium comprising instructions for causing a computer to carry out a method of providing feedback to a person, the non-transitory computer-readable medium comprising:

instructions for receiving a brain activity signal relating to the brain activity of the person;

instructions for receiving a motion signal relating to a motion of one or more body parts of the person;

instructions for determining, based on the detected brain activity signal and the detected motion signal, an activity level of the person which is indicative of how many different motoric and cognitive tasks the person is performing simultaneously;

instructions for determining, based on the detected brain activity signal and the detected motion signal, whether the person is walking; and

instructions for providing the feedback to the person after the person is walking and the activity level of the person exceeds a predetermined threshold.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 21, 2017
From: DE VRIES, JAN JOHANNES GERARDUS; WEFFERS-ALBU, MIRELA ALINA
To: KONINKLIJKE PHILIPS N.V.
Reel/Frame 044191/0013 →
Priority Claims (1)
EP 15170281 · Jun 2, 2015 · regional
Continuity (1)
Related Publication 20180146910A1 · May 31, 2018
Cited By (1)
US 12,690,821