Balascopy method for detecting and rapidly evaluating multiple imbalances within multi-parametric systems

• US 4,527,240 A
• Filed: 12/29/1982
• Issued: 07/02/1985
• Est. Priority Date: 12/29/1982
• Status: Expired due to Term

• Current Assignee: Relonix, Inc.
• Original Assignee: Vadim I. Kvitash
• Inventors: Kvitash, Vadim I.
• Primary Examiner(s): RUGGIERO, JOSEPH F
• Application Number:
  US06/454,196
• Time in Patent Office: 916 Days
• Field of Search: 364/413, 364/415, 364/416, 364/518, 364/550, 364/551, 364/552, 364/582, 128/709, 128/710, 128/630, 340/722, 340/741, 346/33 ME
• US Class Current: 702/19
• CPC Class Codes: G01N 33/492 Determining multiple analytes

Abstract

In a system in which multiple related parameters, such blood chemistry data, are to be evaluated, such evaluation is facilitated by converting the data into specially normalized units as a percentage on a scale depicting the maximum and minimum empirical values for such parameter. Then a normal relationship between pairs of such data (FIG. 1--N) is provided and compared with measured relationships between corresponding pairs of data (FIG. 1--CN to FN) and quantitative and qualitative evaluations are made. Also the complete set of data for such a system is plotted on respective radial axes in such normalized units on a circular coordinate system with the respective maximum and minimum for each parameter being marked on its radius (FIG. 2). The maxima and minima are interconnected to form two closed lines (22), thereby to provide an annulus representing the normal range. Then measured parameters for various entitities are similarly plotted and compared with the normal annulus or known abnormal annuli (FIGS. 3 to 7). Also circular point diagrams are provided, with points on a circular path representing respective parameters and respective pairs of points being connected in cases where a normal quantitative relationship exists (FIG. 8A) or where a specified type of qualitative abnormal relationship exists (FIGS. 8B to 8F), thereby to depict more readily the condition of the system. The data or parameters may be plotted with the aid of an EDP system (FIG. 9).

Claims

1. A method of evaluating data in a multi-parametric system, comprising the steps of:

(a) obtaining a plurality of parametric data of such system;

(b) converting each datum obtained to a specially-normalized unit value equal to a percentage based upon the value of each parametric datum within the range between two existing and previously-determined extreme values of said parametric datum;

(c) providing a circular coordinate scale having radial axes corresponding to said respective parametric data of such system, each axis being identically calibrated in said specially-normalized unit values;

(d) plotting said specially-normalized unit values of said data as points on their respective axes of said circular coordinate scale;

(d) creating a pattern by interconnecting points on adjacent ones of said radial axes to form a closed configuration pattern; and

(e) evaluating said multi-parametric system by comparing said closed configuration pattern with at least one reference pattern plotted on a similar circular coordinate scale and representative of a known state in said system.

2. The method of claim 1 wherein said radial axes are calibrated and arranged such that the boundaries limiting a normal range define substantially an annular pattern.

3. The method of claim 1 wherein said reference pattern is formed on a scale identical to that of said scale in which the normalized units are plotted and said evaluating comprises overlaying said normal pattern upon said pattern from obtained data.

4. The method of claim 1 wherein said parametric data are medical laboratory data of a patient and said converting of each datum to a specially-normalized unit value comprises the determination of the percentage of the value of each datum between previously known extreme values of such medical laboratory data.

5. The method of claim 4 wherein said medical laboratory data are data selected from the group consisting of the following blood chemistry parameters:

albumin, calcium ions, phosporus, serum glutamic oxytransaminase, glucose, alkaline phosphatase, lactic dehydrogenose, bilirubin total, blood urea nitrogen, uric acid, cholesterol, and total protein.

6. A method of analyzing and evaluating a multi-parametric system, comprising the steps of:

(a) obtaining a plurality of parametric data of such system;

(b) converting each datum obtained into normalized units by calculating a percentage based upon the value of each parametric datum within the range between two existing extreme values of said parametric datum;

(c) comparing all possible combination pairs of said normalized unit values to obtain a quantitative value for every possible pair of said normalized unit values;

(d) comparing the resultant quantitative combination pair values of step (c) with corresponding known and normal quantitative combination pair values to obtain a qualitative relationship for each combinatory pair,

(e) comparing each quantitative pair value of step (c) to a statistical average quantitative pair value to obtain differential deviation of each quantitative pair value, and

(f) analyzing said system by comparing said qualitative relationships and said differential deviations with at least one reference set of qualitative relationships and differential deviations for a known condition in said system.

7. The method of claim 6 wherein said related parameters are medical laboratory data of a patient and said analyzing comprises the diagnosis of disease in such patient by comparing said qualitative relationships and differential deviations with those for a known disease condition.

8. The method of claim 6 wherein said analyzing of said system comprises the plotting of a diagram in which each of said parameters is assigned a point at a respective location on said diagram and all pairs of points on said diagram which represent a respective pair of parameters which have a qualitative relationship which falls within of a predetermined value range are interconnected.

9. The method of claim 6 wherein said analyzing of said system comprises the plotting of a diagram in which each of said parameters is assigned a point at a respective location on said diagram and all pairs of points on said diagram which represent a respective pair of parameters which have a qualitative relationship which falls outside of a predetermined value range are interconnected.

10. A system for the diagnosis, monitoring, and control of the effectiveness of treatment, comprising:

(a) a data input device,

(b) a central processing unit with a memory, said central processing unit being connected to receive data from said input device,

(b) a normalized scale creator for converting laboratory data from standard units into normalized units by representing such data as percentage values on a scale representing two existing and extreme values of each datum, said scale creator being connected to said central processing unit;

(c) a first resolving unit for determining quantitative criteria for normal relationships and for a plurality of types of abnormal relationships as represented by imbalances of said data, said first resolving unit being connected to said central processing unit and said normalized scale creator;

(d) a second resolving unit for developing quantitative parameters of the degree of imbalance for each type of imbalance of said data, said second resolving unit being connected to said central processing unit and said first resolving unit;

(e) a circular scale plotter for creating circular diagrams with a plurality of radial axes corresponding to said laboratory data parameters and for plotting said laboratory data in said normalized units on said axes, said circular scale plotter being connected to said normalized scale creator and said first resolving unit;

(e) a visual display unit for selectively displaying data from said circular scale plotter, said first resolving unit, and said second resolving unit, said visual display unit being connected to said last three named units;

(f) a printout unit for printing in graphical form data supplied thereto, said printout unit being connected to said circular scale plotter and said first and second resolving units; and

(g) a unit for printing out data in tabular form, said tabular form printout unit being connected to said resolving unit.