ECG signal processor and method
Chest compressions are measured and prompted to facilitate the effective administration of CPR. A displacement detector determines a displacement indicative signal indicative of the displacement of the CPR recipient's chest toward the recipient's spine. A signaling mechanism provides chest compression indication signals directing a chest compression force being applied to the chest and a frequency of such compressions. An automated controller and an automated constricting device may be provided for applying CPR to the recipient in an automated fashion. The automated controller receives the chest compression indication signals from the signaling mechanism, and, in accordance with the chest compression indication signals, controls the force and frequency of constrictions. The system may be provided with a tilt compensator comprising a tilt sensor mechanism outputting a tilt compensation signal indicative of the extent of tilt of the device, and may be further provided with an adjuster for adjusting the distance value in accordance with the tilt compensation signal. An ECG signal processor may be provided which removes the CPR-induced artifact from a measured ECG signal_obtained during the administration of CPR.
1. An ECG signal processing system for processing a measured ECG signal from a patient undergoing CPR, said patient having a chest, said processing system comprising:
accelerometer means for measuring acceleration values of CPR induced accelerations of the chest and providing a corresponding signal;
means for measuring an ECG signal of the patient;
a processor for receiving a first input and a second input, wherein said first input comprises a signal that is a function of the measured acceleration values of the chest and wherein said second input comprises the measured ECG signal;
wherein the processor processes the first input and the second input to produce an estimated true ECG signal.
2. The ECG signal processing system of claim 1 wherein the processor processes the first and second inputs with a non-linear method.
3. The ECG signal processing system of claim 1 wherein the processor processes the first and second inputs using linear predictive filtering.
4. The ECG signal processing system of claim 1 wherein the processor processes the first and second inputs using the method of recursive least squares.
5. An ECG signal processing system for processing a measured ECG signal from a patient undergoing CPR, said processor comprising:
accelerometer means for measuring acceleration values of CPR induced accelerations of the chest
means for providing a first signal indicative of a CPR induced artifact as a function of said measured acceleration values;
means for measuring an ECG signal of the patient;
a processor for receiving a first input and a second input, wherein said first input comprises at least one signal indicative of the CPR induced artifact and wherein said second input comprises the measured ECG signal;
wherein the processor processes the first input and the second input to produce an estimated true ECG signal.
6. The ECG signal processing system of claim 5 wherein the processor processes the first and second inputs with a non-linear method.
7. The ECG signal processing system of claim 5 wherein the processor processes the first and second inputs using linear predictive filtering.
8. A method of calculating an estimated true ECG signal from a patient undergoing CPR, said patient having a chest, said method comprising the steps of:
applying CPR to the chest of a patient and measuring the acceleration of the chest
providing a first input to a processor, said first input comprising a signal corresponding to the measured CPR induced accelerations of the chest;
providing a second input to the processor, said second input comprising a measured ECG signal; and
processing the first input and the second inputs with the processor to produce an estimated true ECG signal.
9. The method of claim 8 wherein the step of processing the first and second inputs is performed using a non-linear method.
10. The method of claim 8 wherein the step of processing the first and second inputs is performed using linear predictive filtering.
11. The method of claim 8 wherein the step of processing the first and second inputs is performed using the method of recursive least squares.
12. The method of claim 8 wherein the signal indicative of a CPR induced motion of the chest is derived from an event during CPR, said event selected from the group consisting of a force associated with CPR, acceleration of the chest, distance the chest displaces, velocity of the chest and motion of a CPR device administering CPR to the patient.