Method for analysis of biological voltage signals

• US 6,370,423 B1
• Filed: 09/24/1999
• Issued: 04/09/2002
• Est. Priority Date: 10/05/1998
• Status: Expired due to Term

• Current Assignee: Juan C. Guerrero, Juan R. Guerrero
• Original Assignee: Juan C. Guerrero, Juan R. Guerrero
• Inventors: Guerrero, Juan C., Guerrero, Juan R.
• Primary Examiner(s): Sykes, Angela D.
• Assistant Examiner(s): Oropeza, Frances P.
• Application Number:
  US09/405,233
• Time in Patent Office: 928 Days
• Field of Search: 600/509, 600/513, 600/515, 600/516, 600/517, 600/518, 600/519, 600/523, 600/524, 600/528, 600/544, 600/546, 600/521
• US Class Current: 600/513
• CPC Class Codes: A61B 5/339 Displays specially adapted therefor
• CPC Class Codes: A61B 5/35 by template matching
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/7232 involving compression of the physiological signal, e.g. to extend the signal recording period
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/7445 Display arrangements, e.g. multiple display units
• CPC Class Codes: A61B 7/003 Detecting lung or respiration noise
• CPC Class Codes: A61B 7/04 Electric stethoscopes microphones, acoustic transducers therefor H04R
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

Method of analyzing biological signals representative of voltage changes, including obtaining an analog biological signal representative of voltage changes, using digital processing software to digitize the biological signal, displaying the processed biological signal in analog form on a display in a time compressed format, wherein an amount of compression for the time compressed formal is selected such that graphical patterns are made perceivable on the display that signify an abnormality in the biological signal, and visually analyzing the biological signal on the display to characterize the abnormality.

Claims

1. Method of analyzing biological signals representative of voltage changes, comprising obtaining an analog biological signal representative of voltage changes, using digital processing software to digitize said biological signals, displaying said processed biological signal in analog form on a display in a time compressed format, wherein an amount of compression for said time compressed format is selected such that graphical patterns are made perceivable on the display that signify an abnormality in the biological signal, and visually analyzing said biological signal on said display to characterize said abnormality.

2. Method of claim 1, wherein said biological signal is an electrocardiogram.

3. Method of claim 1, further including performing independent channel enhancement of the dynamic range of said analog biological signal prior to said digitizing.

4. Method of claim 1, wherein visually analyzing includes attempting to match patterns in said biological signal with a given library of patterns.

5. Method of claim 1, wherein electronic independent optimization of the dynamic range in each channel is done prior to said digitizing.

6. Method of claim 1, wherein said digitizing is performed by sampling said biological signal at at least approximately 44,100 Hz per second per channel.

7. Method of claim 6, wherein said digitizing is performed using quantization of at least 16-bits per sample per channel.

8. Method of claim 1, wherein said digital processing software is digital audio processing software.

9. Method of claim 1, further including the step of using time intervals in the biological signal to assess internal functional harmony of the biological signal.

10. Method of claim 1, wherein digitizing includes using computer sound cards to digitize the biological signal.

11. Method of claim 1, wherein visually analyzing said displayed signal includes looking for abnormalities from the group consisting of:

myocardial ischemia, arrhythmia, repolarization, depolarization heterogeneity, and pacemaker malfunction.

12. Method of claim 1, wherein said displaying includes magnifying said displayed biological signal in a Y axis to enable at least microsecond levels of said biological signal to be viewed.

13. Method of claim 1, wherein said displaying includes magnifying said displayed biological signal in an X axis to enable at least microvolt levels of said biological signal to be viewed.

14. Method of claim 1, further including using said method for mass screening of the human population for abnormalities.

15. Method of claim 1, wherein said magnetic recording media is a cassette tape and said digitization includes using a slow playback speed for said cassette tape.

16. Method of claim 15, wherein said slow playback speed is selected to be approximately 40 mm per second.

17. Method of claim 7, wherein said magnetic recording media is a cassette tape and said digitization includes using a slow playback speed for said cassette tape.

18. Method of claim 1, wherein said biological signal is an electroencephalogram.

19. Method of claim 1, wherein said biological signal is a myogram.