Method and apparatus for the prevention of epileptic seizures

• US 20050107655A1
• Filed: 10/05/2004
• Published: 05/19/2005
• Est. Priority Date: 04/05/2002
• Status: Abandoned Application

• Current Assignee: Oliver Holzner
• Original Assignee: Oliver Holzner
• Inventors: Holzner, Oliver
• Application Number:
  US10/958,842
• Publication Number:
  US 20050107655A1
• Time in Patent Office: Days
• US Class Current: 600/9
• CPC Class Codes: A61B 5/245 specially adapted for magnetoencephalographic [MEG] signals
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/4094 Diagnosing or monitoring seizure diseases, e.g. epilepsy
• CPC Class Codes: A61N 2/006 for magnetic stimulation of nerve tissue

Abstract

A method and an apparatus for automatic non-invasive controlled or regulated, respectively, electromagnetic prevention of epileptic seizures in vivo, based on seizure models is disclosed. Firstly the method comprises (in addition to the ongoing measurement of electromagnetic fields, in particular such corresponding to brain activity) the ongoing calculation of early warning indicators for seizures from measured data, and secondly in case of critical indicator values, the calculation of seizure-preventing interventions (based on a seizure model) and the ongoing implementation of these interventions by extracranial generation of suitable magnetic fields.

Claims

1. Method for non-invasive controlled or regulated electromagnetic prevention of epileptic seizures in vivo, comprising the following steps:

automatic extracranial electromagnetic measurement of brain activity;

automatic calculation of an early warning indicator for epileptic seizures;

automatic calculation of an intervention instruction for preventing an impending seizure, triggured by a seizure warning by the early warning indicator, by means of a seizure model and the brain activity measured; and

automatic intervention according to the intervention instruction, using controlled or regulated extracranial generation of magnetic fields.

2. Method according to claim 1, wherein a seizure model is used, which is based on indicators calculated from the electromagnetic activities of neurons and/or neural populations, and which are relevant for epileptic seizures.

3. Method according to claim 2, wherein a seizure model of the following group is used, comprising an oscillator seizure model, a stochastic oscillator seizure model, a chaos seizure model, a stochastic chaos seizure model, a synergetics seizure model, a stochastic synergetics seizure model.

4. Method according to claim 1, wherein that measurement of brain activity and calculation of early warning indicators is carried out on an ongoing basis.

5. Method according to claim 1, wherein an intervention instruction is carried out by generating extracranial magnetic fields.

6. Method according according to claim 1, wherein brain activity is measured during or immediately after an intervention.

7. Method according to claim 1, wherein by controlled or regulated reduction of the intervention in case of the early warning indicator returning to a normal range and/or in case of exceeding a time limit.

12. Apparatus according to claim 8, wherein a computer, is used, on which a software module for the implementation of the method according to one of the claims 1 to 7 is stored.

8. Apparatus for automatic non-invasive controlled or regulated, respectively, electromagnetic prevention of epileptic seizures in vivo, the apparatus comprising:

a measurement device with at least one sensor to measure electro-magnetic brain activity,

means for determining an early warning indicator for detecting impending epileptic seizures in advance,

means for calculating an intervention instruction based on a seizure model and brain activity measured, and

means for implementing the intervention instruction, using at least one transmitter for generating a magnetic field.

9. Apparatus according to claim 8, wherein the measurement device comprises several sensors, which constitute a sensor grid.

10. Apparatus according to claim 8, wherein the sensors are located on an EEG-cap.

11. Apparatus according to claim 8, wherein the mechanism for the implementation of the intervention device comprises several transmitters, which constitute a transmitter grid.

13. Apparatus according to claim 8, wherein electric and/or magnetic shielding for every sensor and every transmitter is used.

14. Apparatus according to claim 8, wherein the position of the measurement device with respect to the cranium of the patient is fixed, such that, after taking the sensor grid on and off several times, the sensors will resume their previous relative positions.

15. Apparatus according to claim 8, wherein the measurement device is mechanically decoupled from the other parts of the apparatus, such that the patient may carry the measurement device around.

16. Apparatus according to claim 8, wherein the means for carrying out the intervention instruction are planned to be locked to a fixed position with respect to the cranium of the patient.

17. Apparatus according to claim 8, wherein sensors and transmitters are localized on the inside of a helmet which fits the shape of the cranium of respective patient.

18. Apparatus according to claim 9, wherein the sensor grid and transmitter grid are superposed, such that there are transmitters in the vicinity of each sensor, and sensors in the vicinity of each transmitter.

19. Apparatus according to claims 11, wherein fittings in the transmitter grid are provided, such that additional transmitters might be fitted thereto, such that the transmitter density of a transmitter grid may be changed locally and/or the angle of the individual transmitters with respect to the cranium of the patient may be modified.