HAEMODYNAMIC MONITORING DEVICE

• US 20130085357A1
• Filed: 09/27/2012
• Published: 04/04/2013
• Est. Priority Date: 09/30/2011
• Status: Abandoned Application

• Current Assignee: Martin Peterreins, Stephan Joeken, Wolfgang Huber
• Original Assignee: Martin Peterreins, Stephan Joeken, Wolfgang Huber
• Inventors: Joeken, Stephan, Huber, Wolfgang, Peterreins, Martin
• Application Number:
  US13/628,922
• Publication Number:
  US 20130085357A1
• Time in Patent Office: Days
• US Class Current: 600/364
• CPC Class Codes: A61B 2560/0223 of calibration, e.g. protocols for calibrating sensors
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/02 Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/02156 Calibration means
• 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 5/028 by thermo-dilution
• CPC Class Codes: A61B 5/029 Measuring or recording blood output from the heart, e.g. minute volume A61B8/065 takes precedence
• CPC Class Codes: A61B 5/14542 for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence

Abstract

A relation is formed between an n-tuple having n components and formed at a first point in time and at least one other n-tuple having n components formed at at least one corresponding later point in time, wherein n is a natural number equal to or greater than 1, and the components comprise at least one derived parameter and/or one read-in data value. If this relationship satisfies a predetermined calibration criterion, a calibration signal is triggered and is displayed, and/or automatically triggers a recalibration of the haemodynamic monitoring device. For example, the pulse contour cardiac output PCCO is derived from the arterial pressure curve as the constituent component of a 1-tuple. As long as this differs from the reference cardiac output CO_Ref by less than a predefined threshold value, for example 101 or 15% of the reference cardiac output, parameter determination continues without initiating a new calibration. On the other hand, if the deviation exceeds PCCO-CO_ref I, the calibration signal is triggered.

Claims

1. A device for haemodynamic monitoring, wherein the device comprises the following:

reading in means for repeated reading in of data representing at least one physical variable,

calculation means for calculating at least one parameter from the read-in data,

calibrating means for calibrating the device, and

triggering means for triggering a calibration signal depending on the change over time of at least one of the the following;

the read-in data

at least one of the parameters.

2. The device according to claim 1, wherein the triggering means are designed to form a relation between at least one n-tuple with n components determined at a first point in time and at least one n-tuple with n components determined at least one later point in time via a univariate or multivariate analysis procedure, wherein n is a natural number equal to or greater than 1, and the components comprise at least one of the following:

a value of the read-in data

at least one of the parameters.

3. The device according to claim 1, wherein the triggering means are designed to execute at least one mathematical classification method.

4. The device according to claim 1, wherein the triggering means are designed to perform a linear discriminant analysis.

5. The device according to claim 1, wherein the n components comprise at least one parameter selected from the group of heart rate (HR), pulse duration (T), stroke volume (SV), mean arterial pressure (MAP), pulse contour cardiac output (PCCO), thermodilution cardiac output (CO_TD), stroke volume variation (SW), systemic vascular resistance (SVR), pulse pressure variation (PPV), fluid responsiveness index (FRI), ventricular contractility (for example dPmx), atrial pressures, ventricular pressures, EKG section data, EKG intervals, characteristics of the medication that affects haemodynamics and respiratory parameters that affect haemodynamics.

6. The device according to claim 2, wherein the n components comprise at least one value of read-in data selected from the group of arterial pressure (P), central venous pressure (CVP), blood temperature (Tb), peripheral oxygen saturation (SpO2), central venous oxygen saturation (ScvO2).

7. The device according to claim 2, wherein the temporal interval between two consecutive determinations of the n-tuple is not more than 1 hour, preferably not more than 15 minutes.

8. The device according to claim 7, wherein the temporal interval between two consecutive determinations of the n-tuple is predefined as a predefined number of the patient'"'"'s heartbeats.

9. The device according to claim 1, wherein the triggering means are designed to take into account consecutive changes over time, which occur within a predetermined interval, in the respective other direction, of at least one of the following:

the read-in data

at least one of the parameters.

10. The device according to claim 1, which comprises means for indicating the triggering of the calibration signal in at least one of a visual and an acoustic manner.

11. The device according to claim 1, wherein the calibration signal is transmitted to the calibration means for initiating an automatic calibration or recalibration.

12. The device according to claim 1, wherein the calibration comprises a thermodilution measurement.

13. The device according to claim 1, wherein the triggering means are configured to perform a two- or multistage check of the dependency of the change over time in at least one of the following:

the read-in data,

at least one of the parameters,

and the two- or multistage check comprises the hierarchical check of at least two criteria that cause the triggering of the calibration signal and are dependent on the change over time in at least one of the following;

the read-in data,

at least one of the parameters.

14. The device according to claim 1, wherein the device further comprises evaluation means for evaluating at least one of the following:

an arithmetical relation between at least one value;

that is read in immediately before a calibration and at least one value that is determined immediately after this calibration,

an arithmetical relation between at least one parameter that is determined immediately before and at least one parameter that is determined immediately after this calibration.

15. The device according to claim 1, wherein the device further comprises input means for inputting at least one of the following:

biometric information about the patient,

categorising information about the patient.

16. The device according to claim 1, which has adaptation means for adapting a criterion that causes the triggering of the calibration signal depending on the change over time of at least one of the following:

the read-in data,

at least one of the parameters, according to at least one of the fallowing;

the input biometric information about the patient, and

the input categorising information about the patient.

17. A method for calibrating a device for haemodynamic monitoring of a patient, comprising:

(a) reading in of data representing at least one physical variable,

(b) calculating at least, one parameter from the read-in data,

(c) triggering a calibration signal depending on the change over time of at least one of the following;

the read-in data, and

the at least one parameter,

(d) calibrating the device in response to the calibration signal.

18. The method according to claim 17 further comprising:

evaluating at least one of the the following;

an arithmetical relation between at least one value of the read-in data determined immediately before and at least one value determined immediately following this calibration and,

an arithmetical relation between at least one of the parameters determined immediately before and immediately following this calibration.