METHOD AND SYSTEM FOR DETECTING AND ASSESSING BRAIN INJURIES USING VARIABILITY ANALYSIS OF CEREBRAL BLOOD FLOW VELOCITY

• US 20140163379A1
• Filed: 12/10/2012
• Published: 06/12/2014
• Est. Priority Date: 03/09/2012
• Status: Abandoned Application

• Current Assignee: NeuroChaos Solutions, Inc.
• Original Assignee: NeuroChaos Solutions, Inc.
• Inventors: Bukhman, Vladislav
• Application Number:
  US13/709,602
• Publication Number:
  US 20140163379A1
• Time in Patent Office: Days
• US Class Current: 600/454
• CPC Class Codes: A61B 8/06 Measuring blood flow measuring volume flow in general G01F, e.g. G01F1/66, G01F1/72; measuring speed of fluids in general G01P5/00
• CPC Class Codes: A61B 8/0808 for diagnosis of the brain
• CPC Class Codes: A61B 8/488 involving Doppler signals
• CPC Class Codes: A61B 8/5223 for extracting a diagnostic or physiological parameter from medical diagnostic data for algorithms to analyse biomedical images G06T7/0012
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

Disclosed herein are method and system for detecting and assessing brain injuries and conditions. The medical system is capable of detecting and assessing the severity of TBI is present. The determination is performed by multiscale analysis of complexity of cerebral blood flow velocity oscillations.

Claims

1. A method of detecting and assessing a brain injury and condition in a patient, comprising:

receiving data relating to cerebral blood flow velocity of patient'"'"'s brain;

determining at least one NCI parameter wherein NCI is a chaos theory complexity parameter associated with variability of cerebral blood flow velocity of patient'"'"'s brain;

comparing the at least one complexity parameter with thresholds;

providing an output indicative of a brain injury, indicative of severity of the brain injury, or other conditions based on the comparison.

2. The method of claim 1, wherein is the at least one complexity parameter is the density of tale distribution.

3. The method of claim 2, wherein the tale distribution is the probability that the random variable X takes on a value more than x.

4. The method of claim 3, wherein the random variable X belongs to the time series of differences of successive points {d₁,d₂,d₃, . . . d_i,d_i+1, . . . d_n-1} where d_i is the absolute difference, |v_i+1−

v_i| between successive points v_i+1 and v_i of CBFv measurements.

5. The method of claim 4 wherein the x is variable from 0 to maximal value d_i from the time series {d₁,d₂,d₃, . . . d_i,d_i+1, . . . d_n-1}.

6. A medical system for detecting and assessing TBI and conditions comprising:

an ultrasound probe, a generator of ultrasound waves, CBF data processing unit.

7. The medical system of claim 6, wherein the generator emits a high-pitched sound wave through the ultrasound probe which then bounces off of various materials to be measured by the same probe.

8. The medical system of claim 6, wherein ultrasound waves are transmitted through thin temporal bone and reflected from red blood cells moving in the basal arteries of the brain.

9. The medical system of claim 6, wherein reflected waves are processed in the processing unit.

10. The medical system of claim 6, wherein, processing module has sound waves processing unit for calculation of CBFv and CBFv analysis unit.

11. The medical system of claim 6, wherein CBFv analysis unit perform multiscale complexity analysis of CBFv.

12. The medical system of claim 6, wherein processing unit perform TBI detection and assessment analysis using results of multiscale complexity analysis of CBFv.