Device for Detecting and Warning of Medical Condition

• US 20080319281A1
• Filed: 12/19/2006
• Published: 12/25/2008
• Est. Priority Date: 12/20/2005
• Status: Abandoned Application

• Current Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Original Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Inventors: Aarts, Ronaldus M.
• Application Number:
  US12/158,375
• Publication Number:
  US 20080319281A1
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/02455 provided with high/low alarm devices
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/372 Analysis of electroencephalograms
• CPC Class Codes: A61B 5/4094 Diagnosing or monitoring seizure diseases, e.g. epilepsy
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/6814 Head
• CPC Class Codes: A61B 5/721 using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured

Abstract

A portable device detects a medical condition, such as an epileptic seizure. The device is implemented on a wrist band, possibly together with a watch, or in a helmet. The device may use heart rate detection to identify characteristic patterns associated with epileptic seizure. The device optionally combines more than one measurement to eliminate false positives. In the case of epileptic seizures, heart rate related measurements may be combined with body motion related measurements to ensure greater accuracy.

Claims

1. A portable device for predicting epileptic seizures comprising:

at least one sensor (203, 204, 206-1, 206-2, 206-3, 207) for sensing a physical phenomenon in a patient'"'"'s body, which phenomenon is known to be able to predict epileptic seizures, and for supplying signals characteristic of that phenomenon;

at least one processor (201), coupled with the sensor (203, 204, 206-1, 206-2, 206-3, 207), for performing operations, the operations comprising processing the signals to determine whether they meet at least one criterion characteristic of epileptic seizures;

at least one output device (205, 501, 903, 904, 905) adapted to supply an alarm indication, when the criterion is met; and

at least one fastening apparatus for affixing the device to a patient'"'"'s body.

2. The device of claim 1, wherein the fastening apparatus comprises a wrist band (101) carrying at least the processor (CE) and the output device (CE).

3. The device of claim 1, wherein the means for affixing comprises headgear (401) carrying the sensor, the processor and the output device.

4. The device of claim 1, wherein

the phenomenon comprises a heart beat pattern (FIG. 3);

the at least one criterion comprises at least one stored heartbeat pattern known to be predictive of epileptic seizures; and

the processing means uses an artificial intelligence algorithm to determine whether the signals match the stored pattern.

5. The device of claim 4, wherein

the sensor further comprises at least one motion detection device (204, 206-1, 206-2, 206-3) suitable for detecting movement artifacts, acceleration, or both;

the signals supplied by the sensor comprise signals relating to heartbeat pattern and one or more of movement artifacts and acceleration in at least one direction;

the means for processing analyzes the signals in accordance with at least two criteria, one for each of the types of signals supplied by the sensors to create a combined analysis result; and

the alarm indication is supplied or not supplied responsive to the combined result.

6. The device of claim 1, wherein

the sensor comprises a plurality of sensors including a heart beat detector 204, at least three accelerometers (206-1, 206-2, 206-3) for detecting motion in three dimensions, and an EEG device (207);

the criterion comprises a plurality of criteria, including;

at least one heart beat pattern associated with epileptic seizure;

at least one first motion criterion designed to distinguish normal motion from seizure motion;

at least one second motion criterion designed to correct heart beat measurements for movement artifacts; and

at least one EEG criterion associated with epileptic seizure; and

the operations comprise considering signals from the plurality of sensors in view of the plurality of criteria in order to determine the presence or absence of epileptic seizure.

7. The device of claim 1 wherein the processing device is adapted to use the signals from the sensor for a second purpose separate from detecting seizures.

8. The device of claim 6 wherein processing comprises weighting (w_H, w_E, and w_A) and adding (901) normalized signals from the sensors.

9. The device of claim 1, wherein the sensor comprises at least one movement artifact detector (203) and the operations include correcting signals from at least one other detector responsive to at least one movement artifact.

10. The device of claim 1, wherein the sensor comprises at least one accelerometer (206-1, 206-2, 206-3).

11. The device of claim 1, further comprising an input (205) for receiving data and/or programming updates.

12. The device of claim 1, wherein the alarm indication is provided locally (502, 903, 904) to the device.

13. The device of claim 1, wherein the alarm indication is transmitted wirelessly (905) to a monitoring station.

14. A method for detecting seizures comprising performing the following operations in at least one portable electronic device affixed to a patient'"'"'s body:

sensing a physical phenomenon in the patient'"'"'s body, which phenomenon is known to be able to predict epileptic seizures, and for supplying signals characteristic of that phenomenon;

performing operations in at least one processor, the operations comprising processing the signals to determine whether they meet at least one criterion characteristic of epileptic seizures; and

supplying an alarm indication when the criterion is met.

15. The method of claim 14, wherein the phenomenon comprises heart beat and the criterion comprises a known heart beat pattern.

16. The method of claim 14, wherein the phenomenon comprises motion and the criterion comprises a known motion pattern.

17. The method of claim 14, wherein

the phenomenon comprises a plurality of phenomena including heart beat and motion;

the criterion comprises a plurality of criteria including;

a known heart beat pattern associated with seizure; and

a known motion pattern associated with seizure; and

the processing comprises correcting the signals for movement artifacts and comparing the signals with the criteria.

18. A medium readable by at least one data processing device and comprising code for causing the device to implement the method of claim 14.

19. A device for detecting a medical condition, comprising:

a portable apparatus (101, 501) suitable for attachment to and wearing on a patient'"'"'s body;

at least one sensor (203, 204, 206-1, 206-2, 206-3, 207) coupled with the apparatus and adapted to measure at least first and second physical properties of the patient'"'"'s body and to supply signals indicative of those properties; and

at least one processor (201) disposed within the apparatus and adapted to perform operations, the operations comprising;

analyzing the signals using at least first and second criteria relating to the first and second properties, respectively, to determine whether both the first and second properties taken together indicate the medical condition; and

if the medical condition is indicated, supplying an alarm indication.

20. The device of claim 19, wherein the at least one sensor comprises at least a single sensor (206-1) making a single measurement which is used in determining at least two physical properties of the patient'"'"'s body.