Method and device for removing respiratory artefacts from measured blood pressure data

• US 7,887,490 B2
• Filed: 09/28/2006
• Issued: 02/15/2011
• Est. Priority Date: 09/29/2005
• Status: Active Grant

• Current Assignee: Siemens Healthcare GMBH (Siemens AG)
• Original Assignee: Siemens AG
• Inventors: Wikström, Martin, Gustafsson, Fredrik, Danehorn, Kenneth
• Primary Examiner(s): Nasser; Robert L
• Assistant Examiner(s): D'ANGELO, MICHAEL J
• Application Number:
  US11/529,679
• Publication Number:
  US 20070073170A1
• Time in Patent Office: 1,601 Days
• Field of Search: 600/300, 600/301, 600481-486, 600/500, 600508-509, 600/529, 600/532
• US Class Current: 600/485
• 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 5/0215 by means inserted into the body catheters A61M25/00
• CPC Class Codes: A61B 5/0836 Measuring rate of CO2 production
• CPC Class Codes: A61B 5/721 using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured
• CPC Class Codes: A61B 5/726 using Wavelet transforms

Abstract

The invention relates to a method and a device for removing respiratory artefacts in invasive blood pressure measurements. The level of CO2 in the expired air is monitored during blood pressure measurement and used to approximate and remove the respiratory artifacts. In one embodiment, the respiratory frequency from the respiratory signal is extracted by identifying the end-tidal CO2 level for each breath. A model is derived for the respiratory artifacts using the respiratory frequency, and the model is subtracted from the measured blood pressure data.

Claims

1. A method for removing artifacts caused by patient respiration in measured blood pressure data acquired invasively in the heart or an artery of the patient, comprising:

acquiring the level of CO2 in the patient'"'"'s expired air as a respiratory signal during the blood pressure measurement by a sensor;

using the respiratory signal to approximate the artifacts caused by patient respiration by a data processing unit; and

removing the artifacts based on the respiratory signal by the data processing unit.

2. The method according to claim 1, further comprising after the CO₂ acquiring step;

generating a reference signal from the measured respiratory signal, wherein the reference signal has a predetermined function of the same length at the measured respiratory signal;

deriving a model for the respiratory artifacts from the reference signal; and

subtracting the model from the measured blood pressure data.

3. The method according to claim 2, wherein the model deriving step further comprises, deriving a finite impulse response model and, adapting the model using an iterative algorithm.

4. The method according to claim 3, wherein the adapting step comprises, using a Recursive Mean Square Algorithm.

5. The method according to claim 4, wherein the adapting step comprises, adapting the finite impulse response model by choosing only blood pressure data sampled during the diastolic period.

6. The method according to claims 2, wherein the reference signal generating step comprises, analyzing the respiratory signal for generating the reference signal, and wherein the analyzing step comprises calculating the start, stop and maximum data points for each breath.

7. The method according to claim 1, further comprising a step of compensating for Respiratory Sinus Arrhythmia.

8. The method according to claim 7, the compensating step further comprising:

recording an ECG signal during the blood pressure measuring step;

calculating the instantaneous heart rate during the blood pressure measurement from the ECG signal;

calculating a relative heart rate as the difference between the instantaneous heart rate and the mean heart rate;

using the relative heart rate as input to an autoregressive model with exogenous input for modeling the systolic blood pressure of each heart beat;

adapting the model to the variations in the measured systolic blood pressure data; and

subtracting the adapted autoregressive model from the measured systolic blood pressure data.

9. The method according to claim 8, wherein the model subtracting step comprises, subtracting the autoregressive model from the measured systolic blood pressure data in a manner so as to not alter the shape of the blood pressure waveform.