Method and apparatus for detecting artifact signals in the electrocardiogram of a patient caused by CPR and/or patient motion using patient impedance

• US 7,822,471 B2
• Filed: 07/29/2005
• Issued: 10/26/2010
• Est. Priority Date: 07/30/2004
• Status: Expired due to Fees

• Current Assignee: Scion Medical Ltd. (Siemens AG)
• Original Assignee: Access Cardiosystems Incorporated
• Inventors: Bowers, Kyle R.
• Primary Examiner(s): Layno; Carl H
• Assistant Examiner(s): PATEL, NATASHA
• Application Number:
  US11/192,781
• Publication Number:
  US 20060025825A1
• Time in Patent Office: 1,915 Days
• Field of Search: 600/513, 600/527, 600/534
• US Class Current: 600/513
• CPC Class Codes: A61B 5/0809 by impedance pneumography
• CPC Class Codes: A61B 5/361 Detecting fibrillation
• CPC Class Codes: A61B 5/7207 of noise induced by motion artifacts
• 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 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61N 1/39044 in combination with cardiopulmonary resuscitation [CPR] therapy

Abstract

Medical apparatus for detecting the presence of artifact signals generated in the electrocardiogram of a patient by CPR and/or other patient motion. The presence of artifact signals is determined by analyzing variations in a measured electrical signal that represents the patient'"'"'s transthoracic impedance. Such detection is important because the presence of CPR and/or motion artifacts can disrupt a patient'"'"'s electrocardiogram (ECG) signal. The patient'"'"'s impedance signal data is stored in the apparatus and analyzed to determine if the characteristics are indicative of the presence of CPR and/or motion artifacts. This analysis is performed independently of ECG data and may be used as an indicator of the underlying ECG rhythm classification. In essence, if the impedance exceeds some threshold amount, so as to indicate the presence of CPR or patient motion which can render the ECG data unreliable, the normal interpretation of the ECG data is interrupted. Applications of the invention include, but are not limited to, advising or not advising, defibrillation therapy, CPR or intravenous medicinal therapy.

Claims

1. A method for detecting in an electrocardiogram of a patient artifact signals caused by CPR and patient motion, independently of the patient'"'"'s electrocardiogram signal, the method comprising:

obtaining samples of transthoracic impedance signals of the patient independently of the patient'"'"'s electrocardiogram signal by acquiring and monitoring and measuring impedance signal data from the patient for a given time period by application to the patient of a constant current input signal to produce an output voltage in proportion to the patient'"'"'s impedance, and using such samples as an indicator of underlying ECG rhythm classification;

simultaneously tracking the patient'"'"'s electrocardiogram signals and changes in the output voltage proportionate to the transthoracic impedance;

sensing the condition of the patient'"'"'s heart by an ECG sensing current;

dividing the transthoracic impedance samples into equal three-second segments of time, each segment of time comprising impedance signal data for the segment of time, and

dividing each of the three-second segments into 0.5-second samples of impedence and classifying the impedance signal data in each 0.5-second segment of time as a segment containing non-shockable artifact signals or not containing artifact signals and therefore shockable; and

evaluating the three-second segments to detect the presence of CPR and for characteristics indicative of artifact signals caused by CPR and patient motion;

whereby to detect the presence of CPR and motion defects in the ECG signal and thereby improve determinations of shockable conditions.

2. A method according to claim 1 wherein classifying the impedance signal data comprises comparing the impedance signal data to a predetermined threshold.

3. A method according to claim 2 wherein the predetermined threshold comprises a 10.5 ohm threshold.

4. Apparatus for detecting in an electrocardiogram of a patient artifact signals caused by CPR and patient motion by analyzing variations in a patient'"'"'s transthoracic impedance;

the apparatus comprising;

electrodes for passing an impedance-sensing signal through a patient in order to obtain a sample of an impedance signal of the patient, wherein the sample comprises impedance signal data for a selected time period with no compacitive reactance from the impedance of the patient;

an impedance measuring circuit connected to said electrodes for measuring the sample of the impedance signal of the patient independently of the patient'"'"'s electrocardiogram signal;

a conversion circuit for digitizing the sample of the impedance signal of the patient; and

a microprocessor for (i) dividing the sample of the impedance signal into three-second segments of time, each segment of time comprising impedance signal data for a segment of the given time period;

(ii) classifying said impedance signal data in each segment of time as one of (1) a segment containing artifact signals or (2) a segment not containing artifact signals; and

(iii) evaluating the segments for characteristics indicative of CPR and patient motion, to determine whether the patient'"'"'s electrocardiogram signal is distorted due to presence of CPR or motion artifacts.

5. Apparatus according to claim 4 wherein classifying said impedance signal data comprises comparing said impedance signal data to a predetermined threshold.

6. Apparatus according to claim 5 wherein the predetermined threshold comprises a 10.5 ohm threshold.

7. Apparatus according to claim 5 wherein the predetermined threshold is varied dependent on the operating mode of the device.

8. Apparatus according to claim 4 wherein the sample is stored in memory prior to evaluating the segments.