Clarke Rate Error Grid Analysis (REGA)

Performs Clarke Rate Error Grid Analysis (REGA)

clarke_REGA Performs Clarke Rate Error Grid Analysis (REGA)

The Clarke rate error grid approach is used to assess the clinical

significance of differences between the glucose measurement technique

under test and the venous blood glucose reference measurements.

Zone A (acceptable) represents the glucose rates that deviate from the

reference rate by +-10%. The values within this range are considered as

clinically accurate. B (benign errors) is located above and below zone A;

this zone represents those rates that deviate from the reference rates,

by +-20%. The values that fall within zones A and B are clinically

acceptable, whereas the rates included in areas C (over correction), D

(failure to detect) and E (erroneous readings) are potentially dangerous,

and there is a possibility of making clinically significant mistakes.

SYNTAX:

[total, percentage, indZone, h] = clarke_REGA(y, yp, flagFig, threshold)

INPUTS:

y Reference rates

yp Predicted/estimtated rates

flagFig [OPTIONAL] Flag for plotting the Clarke error grid figure:

1 : with figure

0 : without figure (default)

threshold [OPTIONAL] The threshold used to define zone A in the REGA;

the default is 1 mg/dl/min.

OUTPUTS:

total Total points per zone:

total(1) = zone A,

total(2) = zone B, and so on

percentage Percentage of data which fell in certain region:

percentage(1) = zone A,

percentage(2) = zone B, and so on.

indZone Indicators of zones for each sample

h [OPTIONAL] Handle of the figure (if plotted)

EXAMPLE:

y = randn(1000, 1) *2;

yp = randn(1000, 1) *2;

[tot, per, ind, h] = clarke_REGA(y,yp,1,1);

Modified from the codes by Edgar Guevara

https://www.mathworks.com/matlabcentral/fileexchange/20545-clarke-error-grid-analysis

MATLAB Version: 9.9.0.1538559 (R2020b) Update 3