EEG monitor of fetal health

• US 9,215,999 B2
• Filed: 03/28/2008
• Issued: 12/22/2015
• Est. Priority Date: 03/28/2007
• Status: Active Grant

• Current Assignee: Health Stream Analytics LLC, London Health Sciences Centre Research Incorporated
• Original Assignee: London Health Sciences Centre Research Incorporated
• Inventors: Richardson, Bryan S., Frasch, Martin G.
• Primary Examiner(s): Natnithithadha, Navin
• Assistant Examiner(s): WEARE, MEREDITH H
• Application Number:
  US12/532,874
• Publication Number:
  US 20110152633A1
• Time in Patent Office: 2,825 Days
• Field of Search: 600500-507, 600/509, 600/544, 600/545
• US Class Current: 1/1
• CPC Class Codes: A61B 5/02411 of foetuses
• CPC Class Codes: A61B 5/288 for foetal cardiography, e.g. scalp electrodes
• CPC Class Codes: A61B 5/374 Detecting the frequency distribution of signals, e.g. detecting delta, theta, alpha, beta or gamma waves
• CPC Class Codes: A61B 5/4362 Assessing foetal parameters
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• CPC Class Codes: B63B 29/06 Fastening to floors
• CPC Class Codes: B63C 11/02 Divers' equipment
• CPC Class Codes: B63C 2011/024 Tank racks, i.e. racks or mountings for storing breathing air tanks, e.g. onboard boats
• CPC Class Codes: F16M 11/24 changeable in height or length of legs, also for transport only, e.g. by means of tubes screwed into each otherF16M11/42 takes precedence
• CPC Class Codes: F16M 13/02 for supporting on, or attaching to, an object, e.g. tree, gate, window-frame, cycle

Abstract

A method for predicting health compromise in a fetus comprises acquiring one or more EEG signals and a fetal heart rate (FHR) signal from the surface of the head of a fetus; and determining the spectral edge frequency (SEF) of the one or more EEG signals. A repetitive temporal correlation between the FHR signal and the SEF of the one or more EEG signals is indicative of fetal health compromise. A system for detecting the correlation between FHR signal and the SEF of the one or more EEG signals and predicting fetal health compromise is also described.

Claims

1. A method for the early prediction of fetal health compromise due to fetal hypoxia/asphyxia, comprising:

(a) acquiring and identifying patterns in a Fetal Heart Rate (FHR) signal, wherein identifying patterns in the FHR signal comprises determining minima of the FHR signal and first time intervals between said minima;

(b) acquiring one or more electroencephalogram (EEG) signals from at least one sensor placed on the surface of the head of a fetus and identifying patterns in the one or more EEG signals by performing an analysis based on a spectral edge frequency (SEF) of the one or more EEG signals, wherein identifying patterns in the one or more EEG signals comprises determining maxima of the SEF of the one or more EEG signals and second time intervals between said maxima;

(c) determining a repetitive temporal correlation between the patterns in the FHR signal and the patterns in the one or more EEG signal by determining a correlation value between the first time intervals and the second time intervals; and

(d) predicting the fetal health compromise based on the repetitive temporal correlation.

2. The method of claim 1, wherein the minima of the FHR signal comprise nadirs of FHR deceleration and the maxima of the SEF of the one or more EEG signals comprise peaks of the SEF.

3. The method of claim 1, wherein the correlation value is indicative of fetal health compromise when the correlation value is above 0.4.

4. The method of claim 1, wherein the correlation value is indicative of fetal health compromise when the correlation value is above 0.5.

5. The method of claim 1, wherein the SEF of the one or more EEG signals is determined in a frequency domain below 40 Hz.

6. The method of claim 1, wherein the SEF of the one or more EEG signals is determined in a frequency domain below 30 Hz.

7. The method of claim 1, wherein performing the analysis based on SEF of the one or more EEG signals comprises determining the frequency below which about 90% of the EEG activity occurs.

8. The method of claim 1, wherein performing the analysis based on SEF of the one or more EEG signals comprises determining the frequency below which about 95% of the EEG activity occurs.

9. The method of claim 1, wherein the one or more EEG signals are acquired from one or more electrodes placed on the fetus'"'"' head over the parasagittal region/fronto-parietal-occipital cortex.

10. The method of claim 1, wherein the fetal health compromise is fetal acidosis.

11. The method of claim 1, wherein the fetal health compromise is a cerebral fetal compromise.

12. The method of claim 1, further comprising applying to the fetus a therapy against development of acidosis after the FHR minima becomes temporally correlated with the maxima of the SEF.

13. The method of claim 12, wherein the therapy is expediting the delivery of the fetus.

14. The method of claim 1, wherein the FHR signal is derived from an electro-cardiogram (ECG) signal.

15. The method of claim 1, wherein the one or more EEG signals is an Electrocorticogram (ECoG) signal.

16. The method of claim 1, wherein the fetus is a human fetus.

17. A system for the early prediction of fetal health compromise due to fetal hypoxia/asphyxia, comprising:

(a) means for acquiring and determining patterns in a Fetal Heart Rate (FHR) signal including means for determining minima of the FHR signal and first time intervals between said minima;

(b) means for acquiring and identifying patterns in one or more electroencephalogram (EEG) signals from the surface of the head of the fetus by analyzing one of a spectral edge frequency (SEF) pattern comprising a maxima of the SEF of the one or more EEG signals and an envelope function of the one or more EEG signals including means for determining maxima of the SEF of the one or more EEG signals and second time intervals between said maxima;

(c) means for determining a repetitive temporal correlation between the patterns in the FHR signal and the patterns in the one or more EEG signal by determining a correlation value between the first time intervals and the second time intervals; and

(d) means for predicting the fetal health compromise based on the repetitive temporal correlation.