Apparatus and Method of Diagnosing Health Using Cumulative Data Pattern Analysis Via Fast Fourier Transformation of Brain Wave Data Measured From Frontal Lobe

• US 20080200826A1
• Filed: 09/05/2006
• Published: 08/21/2008
• Est. Priority Date: 09/14/2005
• Status: Active Grant

• Current Assignee: Braintech Corporation, Korea Research Institute of Jungshin Science
• Original Assignee: Braintech Corporation, Korea Research Institute of Jungshin Science
• Inventors: Park, Pyong-Woon
• Granted Patent: US 7,756,575 B2
• Time in Patent Office: Days
• US Class Current: 600/544
• 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 5/7257 using Fourier transforms
• 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

Abstract

Provided is a health diagnosis apparatus and method in which brain waves are sequentially measured from the frontal lobe of a human body that is to be diagnosed when the eyes are in an eyes-open and eyes-closed state, the measured brain waves are fast Fourier transformed to then be accumulated, and then the health conditions of the respective portions of the human body can be determined according to the patterns with respective frequencies. The health condition diagnosis method includes measuring brain waves; performing a fast-Fourier-transform on the measured brain waves; classifying the frequency-based brain wave data into opened and closed eye state brain waves to thus accumulate the classified result; finding a specific frequency and a pattern thereof which repeats from the accumulated brain wave data; correspondingly connecting the frequency and the respective portions of the human body based on the specific frequency pattern; and determining the health condition of the human body. The frequency-based health condition determination is based on clinic test results.

Claims

1. A health diagnosis apparatus using brain wave pattern analysis from brain wave signals measured in a brain wave measuring unit that measures brain waves via brain wave measuring sensors attached to the frontal lobe of a human body that is to be diagnosed, the health diagnosis apparatus comprising a brain wave analysis computer that receives and fast-Fourier-transforms the measured brain waves, accumulates brain wave data for a predetermined time, analyzes a pattern of a signal that occurs at respective frequencies, and sets the analyzed frequency pattern to correspond to the respective portions of the human body, to thereby determine the health condition of the human body.

2. The health diagnosis apparatus according to claim 1, wherein the brain wave analysis computer accumulates the measured brain wave data for the predetermined time to thereby find a point of inflection to discover a curve changing point occurring hourly according to the respective frequencies and to extract the repetitively occurring point-of-inflection frequency, and then determines the health condition of the human body from the extracted inflection frequency using a database storing frequency data of the respective portions of the human body in a one-to-one correspondence relationship with the respective frequencies which are discovered from clinical test results.

3. A health condition diagnosis method using brain wave pattern analysis, the health condition diagnosis method comprising:

adhering a two-channels brain wave measuring sensor to the frontal lobe of the human body to thus measure brain waves in which an ear-clip is a base electrode and the forehead center is a reference electrode;

fast-Fourier-transforming the measured brain waves;

accumulating the fast-Fourier-transformed data for a predetermined time;

analyzing a pattern of a signal with respective frequencies; and

setting the analyzed frequency pattern to be in a one-to-one correspondence relationship with the respective portions of the human body, to thereby determine the health condition of the human body.

4. The health condition diagnosis method of claim 3, wherein the pattern analysis operation comprises discovering an inflection point hourly according to the respective frequencies, and extracting a repetitively occurring inflection frequency.

5. The health condition diagnosis method of claim 4, wherein the health condition determination is performed using a health condition determination equation of human bodies in which a relative severity of a disease at the corresponding portion of the human body corresponding to a certain frequency is proportional to the number of inflections and amplitude of the brain wave signal and is inversely proportional to a full width at half maximum (FWHM) value of the brain wave signal, according to the number of inflections and amplitude of the brain wave signal, and the FWHM value of the brain wave signal.