SYSTEM AND METHODS FOR NEUROLOGICAL MONITORING AND ASSISTED DIAGNOSIS

• US 20170188932A1
• Filed: 11/21/2016
• Published: 07/06/2017
• Est. Priority Date: 12/31/2015
• Status: Abandoned Application

• Current Assignee: Brainscope SPV LLC
• Original Assignee: Brainscope Company Inc.
• Inventors: SINGER, Michael E., MAHOWALD, Gregory M., GHOSH DASTIDAR, Samanwoy, PRICHEP, Leslie S.
• Application Number:
  US15/357,139
• Publication Number:
  US 20170188932A1
• Time in Patent Office: Days
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/4064 Evaluating the brain A61B5/031, A61B5/369, A61B5/14553 take precedence
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: G09B 7/00 Electrically-operated teaching apparatus or devices working with questions and answers mechanically operated G09B3/00; computing arrangements G06F
• CPC Class Codes: G09B 7/02 of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 20/40 relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

Methods and systems for assessing brain activity and collecting information related to a subject'"'"'s condition and brain electrical activity are provided. The methods and systems include collecting and transferring data related to the neurological state of a subject. The systems and methods further include performing a first assessment of the collected data using an assessment device and performing a second assessment of the collected data using a computer. The methods further include comparing the first assessment and the second assessment and recording whether the first assessment and second assessment are consistent.

Claims

1. An apparatus for monitoring for evaluating a neurologic state of a subject by a user, comprising:

one or more electrodes disposable on the subject and configured to detect brain electrical signals of the subject;

an assessment device having a processor and a memory, the assessment device configured to receive the brain electrical signals and the processor configured to perform a first assessment of the brain electrical signals;

a computing device, separate from the assessment device, having a processor and a memory; and

a first communications channel between the assessment device and the computing device, wherein brain electrical signals can be communicated from the assessment device to the computing device when the first communications channel is open;

wherein the computing device processor performs a second assessment of the brain electrical signals.

2. The apparatus of claim 1, wherein:

the assessment device is configured to transmit data representative of the results of the first assessment to the computing device;

the computing device compares the first assessment and the second assessment with the processor; and

the computing device records to memory consistency data representing whether the results of the first assessment and second assessment are consistent.

3. The apparatus of claim 2, wherein the computing device is configured to transfer consistency data to the assessment device indicative of the comparison of the first assessment and the second assessment.

4. The apparatus of claim 3, wherein the first assessment and the second assessment employ substantially the same assessment redundantly.

5. The apparatus of claim 3, wherein the consistency data is transferred from the computing device to the assessment device via the first communications channel.

6. The apparatus of claim 3, wherein the consistency data is transferred from the computing device to the user via a second communications channel.

7. The apparatus of claim 6, wherein the computing device is configured to ascertain whether the first communications channel is open.

8. The apparatus of claim 2, wherein:

the assessment device is located a first location;

the computing device is located a second location; and

the first location is different from the first location.

9. The apparatus of claim 1, wherein the assessment device is further configured to receive neurocognitive assessments and/or clinical symptoms assessments.

10. The apparatus of claim 9, wherein the neurocognitive assessments and/or clinical symptoms assessments are input to the assessment device by the user.

11. The apparatus of claim 9, wherein the neurocognitive assessments and/or clinical symptoms assessments are transferred to the assessment device from the computing device on the first communications channel.

12. The apparatus of claim 1, wherein the assessment device is further configured to receive longitudinal information of the subject'"'"'s neurological state.

13. The apparatus of claim 1, wherein the computing device is further configured to provide a treatment recommendation based data stored in the database and a classification of the neurologic state of the subject.

14. The apparatus of claim 13, wherein the computing device is configured to transmit the treatment recommendation to the assessment device on a first communications channel.

15. The apparatus of claim 13, wherein the computing device is configured to transmit the treatment recommendation to the user on a second communications channel.

16. The apparatus of claim 1, wherein:

the assessment device is configured to extract features from the subjects brain electrical activity, neurocognitive assessments and/or clinical symptoms assessment;

the assessment device is configured to determine whether values of the extracted feature fall within or outside their normal ranges, wherein the normal ranges are defined by a reference database comprising data collected from a control population group exhibiting normal brain function.

17. The apparatus of claim 16, wherein the assessment device is configured to calculate a summary index score using normal and abnormal features;

and

the assessment device is configured to generate a brain function index using the index score, wherein the brain function index expresses the neurologic state of the subject as a percentile relative to normal brain function exhibit by the control population group.

18. The apparatus of claim 1, wherein:

the computing device is configured to extract features from the subjects brain electrical activity, neurocognitive assessments and/or clinical symptoms assessment;

the computing device is configured to determine whether values of the extracted feature fall within or outside their normal ranges, wherein the normal ranges are defined by a reference database comprising data collected from a control population group exhibiting normal brain function.

19. The apparatus of claim 18, wherein the computing device is configured to calculate a summary index score using abnormal features;

and

the computing device is configured to generate a brain function index using the summary index score, wherein the brain function index expresses the neurologic state of the subject as a percentile relative to normal brain function exhibit by the control population group.

20. The apparatus of claim 18, wherein the reference database comprises one or more of brain electrical activity data, neurocognitive assessments data and clinical symptoms data.