Method and apparatus for analysis of psychiatric and physical conditions

• US 8,306,610 B2
• Filed: 04/18/2007
• Issued: 11/06/2012
• Est. Priority Date: 04/18/2006
• Status: Active Grant

• Current Assignee: Susan Mirow
• Original Assignee: Susan Mirow
• Inventors: Mirow, Susan
• Primary Examiner(s): Bertram, Eric D.
• Application Number:
  US12/226,285
• Publication Number:
  US 20090292180A1
• Time in Patent Office: 2,029 Days
• Field of Search: 600/301, 600/509, 600/513
• US Class Current: 600/509
• CPC Class Codes: A61B 5/00 Measuring for diagnostic purposes radiation diagnosis A61B6/00; diagnosis by ultrasonic, sonic or infrasonic waves A61B8/00; Identification of persons
• CPC Class Codes: A61B 5/4094 Diagnosing or monitoring seizure diseases, e.g. epilepsy
• CPC Class Codes: A61B 5/726 using Wavelet transforms
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

A method, apparatus and software for diagnosing the state or condition of a human, animal or other living thing, which always generates physiological modulating signals having temporal-spatial organization, the organization having dynamic patterns whose structure is fractal, involving the monitoring of at least one physiological modulating signal and obtaining a set of temporal-spatial values of each of said physiological modulating signals, and processing the respective temporal-spatial values using linear and nonlinear tools to determine the linear and nonlinear characteristics established for known criteria to determine the state or condition of the person, being or living things, and to use this data for diagnosis, tracking, and treatment and developmental issues.

Claims

1. A non-invasive method for diagnosing the state or condition of a human or animal or other living organism, the living organism generating physiological modulating signals, the modulating signals having temporal-spatial organization characterized by dynamic patterns with fractal structure that varies in both frequency and amplitude, said method comprising:

simultaneously recording, as a sequence of temporal-spatial values, the variance of at least one physiological modulating signal over a period that is generally greater than two minutes and generally less than twenty-four hours;

plotting each sequence of temporal-spatial values so as to display amplitude as a function of time;

plotting each sequence of temporal-spatial values so as to display frequency as a function of time;

calculating first and second derivatives of the respective temporal-spatial value sequence plottings in order to determine velocity and acceleration, as a function of time, for each of the plottings of said at least one physiological modulating signal;

converting each data point in each of the temporal-spatial value sequence plottings into normalized units, using linear and nonlinear mathematical tools so that amplitude and frequency patterns of said at least one monitored physiological modulating signal can be directly compared with established sets of amplitude and frequency patterns reflective of particular psychiatric and/or physical disorders; and

diagnosing a psychiatric and/or physical disorder by determining which of said established sets of patterns, with their transitional states, substantially correspond to those of the monitored physiological modulating signals.

2. The non-invasive method of claim 1 wherein:

said step of monitoring at least one physiological modulating signal includes monitoring the heartbeat of the living organism to obtain temporal-spatial values of the heart beat; and

the step of processing the respective temporal-spatial values includes processing said respective temporal-spatial values of the heartbeat in order to obtain a variance of a set of inter-beat intervals and, thereby, establish heart rate variability.

3. The non-invasive method of claim 2 wherein said step of processing said the respective temporal-spatial values of the heartbeat comprises analyzing said heart rate variabilities as linear values in frequency regions selected from the group consisting of VHF, HF, LF, VLF and ULF regions.

4. A non-invasive method for diagnosing the state or condition of a human or animal or other living organism, the living organism generating physiological modulating signals, the modulating signals having temporal-spatial organization characterized by dynamic patterns with fractal structure that varies in both frequency and amplitude, said method comprising:

simultaneously recording, as a sequence of temporal-spatial values, the variances of at least two physiological modulating signals;

plotting each sequence of temporal-spatial values so as to display amplitude as a function of time;

plotting each sequence of temporal-spatial values so as to display frequency as a function of time;

calculating first and second derivatives of the respective temporal-spatial value sequence plottings in order to determine velocity and acceleration, as a function of time, for each of said at least two physiological modulating signals;

converting each data point in each of the temporal-spatial value sequence plottings into synchronized normalized units, using linear and nonlinear mathematical tools so that a set of amplitude and frequency patterns corresponding to said at least two monitored physiological modulating signals can be directly compared with each other and with established sets of amplitude and frequency patterns reflective of particular psychiatric and/or physical disorders; and

diagnosing a psychiatric and/or physical disorder by determining which of said sets of patterns substantially correspond to the set of patterns corresponding to said at least two monitored physiological modulating signals.

5. A method of diagnosing a person according to claim 4 wherein said second physiological-modulating parameter is orthogonal to said first physiological modulating parameter.

6. A method of diagnosing a person according to claim 4 wherein:

said step of monitoring a second physiological-modulating parameter of comprises monitoring the heartbeat of the person to obtain temporal-spatial values of the heartbeat;

said step of monitoring a second physiological-modulating signal of the person simultaneously with the monitoring of the first physiological-modulating signal comprises monitoring the movement of the person to obtain timed values of the movement simultaneously with the monitoring of the heartbeat of the person;

said step of processing said first set of temporal-spatial values to obtain a first-measured set of variances comprises processing said temporal-spatial values of the heartbeat to obtain a variance of a set of interbeat intervals and establish heart rate variability; and

said step of processing said second set of temporal-spatial values to obtain a second set of variances comprises processing said temporal-spatial measurements of movement (acceleration) to obtain a movement variance and establish a movement variability.

7. A method of diagnosing a person according to claim 6 wherein said step of processing said first set of temporal-spatial values of the heartbeat comprises analyzing said heart rate variances as linear values in frequency regions of VHF, HF, LF, VLF and ULF regions, and wherein said step of processing said second set of temporal-spatial measurements of movement variances in VHF, HF, LF, and VLF and ULF regions.

8. A method of diagnosing according to claim 7 wherein the step of analyzing said movement variances in the VHF, HF, LF, VLF and ULF regions comprises calculating the variance in the longitudinal and transverse acceleration, and for certain cases calculated variances are processed and converted into normalized units.