METHOD TO OBTAIN AND VALIDATE PHYSIOLOGICAL DATA

• US 20170224285A1
• Filed: 09/12/2016
• Published: 08/10/2017
• Est. Priority Date: 09/12/2016
• Status: Active Grant

• Current Assignee: Genomi-K S.A.P.I. De C.V.
• Original Assignee: Genomi-K S.A.P.I. De C.V.
• Inventors: TOUSSAINT NASTA, Francisco Xavier, CRUZ CAMINO, Hector, GUERRERO MARQUEZ, Hector Daniel, GOMEZ GUTIERREZ, Rene Daniel, MENDOZA GONZALEZ, Ricardo, ARRIAGA SOSA, Roberto Carlos, MERCADO HERNANDEZ, Roberto
• Granted Patent: US 10,206,628 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/0261 using optical means, e.g. infrared light
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/7221 Determining signal validity, reliability or quality A61B5/7207 and A61B5/7217 take precedence

Abstract

A method for the validation of physiological data, acquired in two or more parts of the human body by sensors connected to a medical device, for the statistical validation of the relationship among the signals retrieved by the medical devices, in order to select information that increases the accuracy of the study being carried out, with a high statistical certainty. The purpose of the actual invention is to make this statistically validated data available for use by protocols or reference values, according to the field of application, which increase accuracy of the studies being carried out.

Claims

1. A method for the validation of physiological data, acquired in two or more parts of the human body by sensors connected to a medical device, for the statistical validation of the relationship among the data of the signals retrieved by said medical devices, said method comprising the steps of:

a) verifying that sensors are connected to the medical device by information processing means, and that physiological data, consistent with the parameters sought to be measured, is recorded;

b) defining the elapsed time of the study (Tt;

starting at 0 seconds);

the maximum time of the study (Tmax=specific time constant);

the sampling time (Tm=specific time constant) during which the physiological data, needed for the statistical study, is collected;

the reading time (TL=specific time constant), said reading time being the interval at which physiological data is retrieved from the communication port;

the validation time (Tv), which defines the time at which statistical analysis is carried out, said validation time comprising one or more preset time values greater than Tm;

c) retrieving physiological data separately from each of said two or more sensors by said information processing means within a preset reading time interval (TL);

d) repeating step c) every TL until the following condition is met;

Tt=Tv, and if this condition is met, proceeding to the next step;

e) making a statistical validation of the physiological data retrieved from said two or more sensors, defined based on the volume and characteristics thereof, by the use of the information processing means;

f) if physiological data, acquired in this manner, does not approve the statistical validation made in step e) and Tt<

Tmax, repeating steps c), d) and e);

g) if physiological data, acquired in this manner, does not approve the statistical validation made in step e), and Tt>

=Tmax, concluding the method;

h) if physiological data, acquired in this manner, does approve the statistical validation made in step e), classifying said acquired data as being suitable for use and concluding the method.

2. The method for the acquisition and validation of physiological data in accordance with claim 1, wherein TL=1 second and Tm=60 seconds.

3. The method for the acquisition and validation of physiological data in accordance with claim 1, wherein said statistical validation comprises the compliance of two conditions and a parametric statistical test applied to the retrieved physiological data, wherein said statistical validation comprises the steps of:

I. calculating the absolute differences for each record of physiological data comprised within the time interval under analysis;

II. obtaining two or more random samples of the absolute differences previously calculated, wherein each sample includes 10% of the population of retrieved physiological data (n);

III. calculating the following statistics for each physiological data sample;

(1) mean difference average (d_m), (2) standard deviation (s_d), and (3) t value of the statistical test known as t-Student for each sample (τ

) taken in sub-step ii, in accordance with the following formulas;

4. The method for the acquisition and validation of physiological data in accordance with claim 1, including the additional step of applying existing medical protocols/reference values to the physiological data that approved the statistical validation

5. A method for the acquisition and validation of physiological data for use thereof with a physiological monitor for simultaneously taking oxygen saturation values in a human patient'"'"'s preductal and postductal blood flow, wherein said physiological monitor comprises:

two LED light-emitting/receiving sensors connected to a corresponding pulse oximeter to be placed on two or more parts of the patient'"'"'s body, wherein each pulse oximeter is connected to information processing means, wherein the method for the acquisition and validation of physiological data comprises;

a) verifying that;

sensors are connected to the medical device, that sensor receptor captures the light signal emitted by the sensor, and that the recorded physiological data is consistent with the heart rate readings;

b) upon successful conclusion of step a), beginning the study and establishing the following variables;

elapsed time of the study (Tt;

starting at 0 seconds);

maximum time of the study (Tmax=specific time constant);

sampling time (Tm=specific time constant) during which the physiological data, needed for the statistical study, is collected;

reading time (TL=specific time constant), said reading time being the interval at which physiological data is retrieved from the communication port;

validation time (Tv), which defines the time at which statistical analysis is carried out, said validation time comprising one or more preset time values greater than Tm;

c) retrieving physiological data (heart rate, oxygen saturation in preductal and postductal blood flow, as well as the values needed to generate a plethysmographic curve) separately and simultaneously from each of said two sensors and stored in the pulse oximeters by said information processing means within a preset reading time interval (TL);

d) repeating step c) every TL until the following condition is met;

Tt=Tv, and if this condition is met, proceeding to the next step;

e) making a statistical validation of the heart rate values retrieved from said two sensors—

where said information is stored in the pulse oximeters and retrieved by the information processing means—

defined based on the volume and characteristics thereof, and comprising the following sub-steps;

i. calculating the absolute differences for each record of heart rates comprised within the time interval under analysis;

ii. obtaining two or more random samples of the maximum absolute differences previously calculated, wherein each sample includes 10% of the population of retrieved heart rate data (n);

iii. calculating the following statistics for each heart rate data samples;

(1) mean difference average (d_m), (2) standard deviation (s_d), and (3) t value (of the statistical test known as t-Student) for each sample (τ

) taken in sub-step ii, in accordance with the following formulas;

6. The method for the acquisition and validation of physiological data in accordance with claim 5, wherein statistically validated measurement values may be automatically stored in the information processing means memory and hosted in an external server for further consultation thereof.

7. The method for the acquisition and validation of physiological data in accordance with claim 5, wherein statistically validated measurement values may be assessed by information procession means in accordance with a critical congenital heart defects screening protocol.