Method and device for multimodal neurological evaluation

• US 9,198,587 B2
• Filed: 07/02/2014
• Issued: 12/01/2015
• Est. Priority Date: 01/18/2012
• Status: Active Grant

• Current Assignee: Brainscope SPV LLC
• Original Assignee: Brainscope Company Inc.
• Inventors: Rothman, Neil S.
• Primary Examiner(s): BERHANU, ETSUB D
• Application Number:
  US14/322,355
• Publication Number:
  US 20140316221A1
• Time in Patent Office: 517 Days
• Field of Search: 600/544, 600/545, 382/159, 382/160
• US Class Current: 1/1
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/378 Visual stimuli
• CPC Class Codes: A61B 5/6803 Head-worn items, e.g. helmets, masks, headphones or goggles
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: F04C 2270/041 Controlled or regulated
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A method of building classifiers for multimodal neurological assessment is described. The method comprises the steps of extracting quantitative features from a plurality of physiological and neurocognitive assessments, and selecting a subset of features from the extracted pool of features to construct multimodal classifiers. A device for performing point-of-care multimodal neurological assessment is also described.

Claims

1. A device for multimodal assessment of a subject'"'"'s neurological condition, the device comprising:

a headset comprising one or more neurological electrodes configured to record the subject'"'"'s brain electrical signals;

a base unit operatively coupled to the headset and configured to acquire results of one or more physiological assessments and/or neurocognitive assessments performed on the subject, the base unit further comprising a processor configured to perform the steps of;

extracting quantitative features from the brain electrical signals;

extracting quantitative features from the results of the one or more physiological assessments and/or neurocognitive assessments performed on the subject; and

applying a multimodal classifier to provide a multi-dimensional evaluation of the subject'"'"'s neurological condition, wherein the multimodal classifier is configured to combine the extracted quantitative features from the brain electrical signals and extracted quantitative features from the results of the one or more physiological assessments and/or neurocognitive assessments, and further wherein the multimodal classifier is pre-developed and pre-trained using selectable features from a training dataset comprising brain electrical activity data and one or more physiological assessments and/or neurocognitive assessments data obtained from a plurality of individuals in the presence or absence of brain abnormalities.

2. The device of claim 1, wherein the processor is configured to perform automatic identification and removal of artifacts from the brain electrical signals.

3. The device of claim 1, wherein the base unit is operatively coupled to an input device, and wherein the input device is configured to acquire the results of the one or more physiological assessments and/or neurocognitive assessments.

4. The device of claim 1, wherein the base unit is configured to wirelessly receive the results of the one or more physiological assessments and/or neurocognitive assessments.

5. The device of claim 1, further comprising a memory device for storing interactive instructions for using and operating the device.

6. The device of claim 5, wherein the memory device stores a dynamic questionnaire that provides step-by-step instructions for performing the multimodal assessment.

7. The device of claim 1, further comprising a touch-screen interface to enter user input.

8. The device of claim 1, wherein the base unit is a handheld device.

9. The device of claims 1, wherein the one or more physiological and/or neurocognitive assessments comprise recording of electrocardiographic signals.

10. The device of claim 1, wherein the multimodal classifier comprises one or more discriminant functions.

11. The device of claim 1, wherein the multimodal classifier is a binary classifier.

12. The device of claim 1, wherein the multimodal classifier is a multi-class classifier.

13. The device of claim 1, further comprising a monitor for providing visual stimuli to the subject to elicit visual evoked potentials.

14. The device of claim 1, further comprising a pair of goggles for providing visual stimuli to the subject to elicit visual evoked potentials.

15. The device of claim 1, further comprising one or more earphones to provide auditory stimuli to the subject to elicit auditory evoked potentials.

16. The device of claim 1, wherein the base unit is configured to transmit data to another mobile or stationary device to facilitate more complex data processing or analysis.

17. The device of claim 1, wherein the base unit comprises a display screen to display a result of the multimodal assessment of the subject'"'"'s neurological condition.

18. The device of claim 1, wherein the base unit comprises a wireless transceiver to transmit a result of the multimodal assessment wirelessly to a remote network, computer, or to an external memory device to store the result.