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Form factors for the multi-modal physiological assessment of brain health

A health, brain wave technology, applied in the field of diagnosis and analysis of brain health, can solve problems such as bulky equipment

Inactive Publication Date: 2016-05-18
CERORA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, formal laboratory-based EEG methods often require significant operator training, cumbersome equipment, and are primarily used to detect epilepsy

Method used

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  • Form factors for the multi-modal physiological assessment of brain health
  • Form factors for the multi-modal physiological assessment of brain health
  • Form factors for the multi-modal physiological assessment of brain health

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0158] Applying sensory stimuli to the patient enables a more focused and detailed assessment of the multimodality of the biosignal data stream. Multimodal data can be acquired by measuring EEG signals while synchronously acquiring accelerometer-based signals, temperature signals, and other biosignals before, during, and / or after a patient's sensory stimulation or cognitive challenge.

[0159] visual stimulation

[0160] Visual stimuli may be utilized independently or through a data capture microprocessor device (MCU), such as light stimulation when the subject's eyes are closed or through the presentation of certain types of expressive photographic images. (MCU) (computer, tablet PC, mobile phone, or other dedicated custom-made device with a microprocessor and wireless connectivity) used to collect wireless biosignal data from various REM units on the head, hand / wrist, or foot / ankle . Various graphical assessments are displayed on the data capture display, where the patie...

Embodiment 1

[0218] Example 1. Creation of Remote Calibration Cable Assemblies for Remote Quality Control Purposes

[0219] Calibration and quality control cables were constructed using a soldering iron, resistors, stereojackpins, wires, and alligator clips. The voltage divider consists of an upper 1 / 4 watt resistor (wattresistor) of 100 ohms (Ω) and a lower 1 / 4 watt resistor of 1,000,000 ohms or 1 MΩ, divided by a factor of 10 4 The reference signal was scaled down from 1 volt to 100 μV and from 50 mV to 5 μV. These buck signals are thus in the typical physiological range of 1 μV to 100 μV and thus can be used for evaluation and calibration of the EEG system. Metal film resistors with tighter tolerances can also be used if desired. This cable can be attached to the REM output and wired directly to the REM input to calibrate and confirm that the system is working. Alternatively, this same design could be adapted to sit on an internal printed circuit board and verify system calibration i...

Embodiment 2

[0220] Example 2. Use of stand-alone accelerometers to confirm balance and posture.

[0221] A pair of USB accelerometer model X6-1A electronic REM modules were purchased from GulfCoast Data Concepts. Experiments were performed with these 3-axis accelerometers and used in the evaluation of human motion and stability. Data acquisition and display software was installed on a Dell Latitude E6520 notebook computer. Analysis was performed in JMPProv10 from SAS. Features of these accelerometers include the fact that they transmit data through any USB port on a notebook computer; they have a user-selectable + / - 2g acceleration range; 160 Hz user selectable sampling frequency, and 12-bit or 16-bit REM internal resolution. Experiments were performed with the REM attached to an elastic wrist or ankle strap for simultaneous human motion data capture and stability analysis in two positions.

[0222] In order to calibrate the accelerometer on-site before each use, the inventor devised a ...

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Abstract

A multi-modal physiological assessment device and method enables the simultaneous recording and then subsequent analysis of multiple data streams of biological signal measurements to assess the health and function of the brain. The multi-modal assessment system includes at least one channel of EEG brainwave data in combination with cognitive information that provide a two-dimensional data stream of (x(t), y(t)) of cognitive information; voice recordings; motion, position, and stability data; galvanic skin conductance; temperature of the subject; pulse-oximetry data, cerebral blood perfusion data, vaso-motor reactivity data, and the like. The collected data is processed to construct candidate features extracted from multiple biological sensor data streams and correlated with multi-modal signatures to identify data indicative of brain health, disease and injury.

Description

[0001] Cross References to Related Applications [0002] This application claims the benefit of Provisional Patent Application No. 61 / 773,428, filed March 6, 2013. The content of this patent application is incorporated by reference in its entirety into the present application. technical field [0003] The present invention relates to the diagnosis and analysis of brain health by using activated tasks and stimuli in a system to dynamically assess an individual's brain state and function. Background technique [0004] The proper functioning of the brain and central nervous system is essential to a healthy, enjoyable and productive life. Disorders of the brain and central nervous system are among the most dreadful diseases. Many neurological disorders such as stroke, Alzheimer's disease and Parkinson's disease are insidious and progressive, becoming more common with age. Other conditions such as schizophrenia, depression, multiple sclerosis, and epilepsy occur at a younger a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0484
CPCA61B5/11A61B5/0002A61B5/02416A61B5/0533A61B5/14552A61B5/6803A61B5/744A61B5/01A61B5/1103A61B5/1124A61B5/14551A61B5/4094A61B5/681A61B5/6826A61B5/7275A61B2562/0204A61B5/0006A61B5/02055A61B5/162A61B5/6898A61B5/7246A61B5/7264A61B2560/0443A61B2562/0219A61B5/163G16H20/70G16H15/00G16H40/63G16H40/67G16H50/20A61B5/381A61B5/38A61B5/378A61B5/291A61B5/377A61B3/113A61B3/145A61B5/0057A61B5/026A61B5/024A61B5/0531G16H50/30A61B5/316A61B5/4041A61B5/7203A61B7/04A61B2560/0475
Inventor 亚当·J·西蒙加雷·S·凯斯
Owner CERORA
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