Method for respiratory tidal volume measurement

• US 5,980,463 A
• Filed: 11/08/1996
• Issued: 11/09/1999
• Est. Priority Date: 09/28/1995
• Status: Expired due to Term

• Current Assignee: Data Sciences U K Limited (International Business Machines Corporation)
• Original Assignee: Data Sciences U K Limited (International Business Machines Corporation)
• Inventors: Brockway, Brian P., Brockway, Robert V.
• Primary Examiner(s): Dvorak, Linda C. M.
• Assistant Examiner(s): YARNELL, BRYAN KEITH
• Application Number:
  US08/746,421
• Time in Patent Office: 1,096 Days
• Field of Search: 600/483-486, 600/490, 600/493, 600/500-502, 600/529, 600/538, 600/543, 600/481
• US Class Current: 600/485
• CPC Class Codes: A61B 5/0031 Implanted circuitry
• CPC Class Codes: A61B 5/0215 by means inserted into the body catheters A61M25/00
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00

Abstract

A method obtains physiologic parameter information of an animal or human, such as respiratory tidal volume, from a blood pressure signal from an implanted blood pressure sensor in the animal or human. Specifically, the blood pressure signal is externally signal processed to develop an amplitude versus time waveform. A sequence of selected blood pressure features derived from individual cardiac cycles of the amplitude versus time waveform over a selected time interval are extracted from the developed amplitude versus time waveform. A mathematical model is fitted to the extracted sequence of selected blood pressure features to yield a fitted mathematical model. Blood pressure information indicative of a magnitude of the change in blood pressure that occurs over a respiratory cycle is computed from the fitted mathematical model. The physiologic parameter respiratory tidal volume, is then computed as a function of a correction factor and the blood pressure information.

Claims

1. A method of obtaining respiratory tidal volume information of an animal or human from a blood pressure signal indicative of sensed variations in blood pressure of the animal or human, the method comprising the steps of:

signal processing, external from the animal or human, the blood pressure signal to develop an amplitude versus time waveform;

extracting from the developed amplitude versus time waveform a sequence of selected blood pressure features derived from individual cardiac cycles of the amplitude versus time waveform over a selected time interval;

fitting a mathematical model to the extracted sequence of selected blood pressure features to yield a fitted mathematical model;

characterizing changes in blood pressure that occur over a respiratory cycle from the fitted mathematical model; and

computing the respiratory tidal volume information as a function of the characterized changes in blood pressure.

2. The method of claim 1 wherein the computing step comprises computing the respiratory tidal volume information as a function of a correction factor and the characterized changes in blood pressure.

3. The method of claim 2 further comprising the step of correlating the blood pressure information to a separate measurement of tidal volume to obtain the correction factor.

4. The method of claim 3 wherein the separate measurement of tidal volume is obtained from a whole body plethysmograph.

5. The method of claim 1 wherein the step of computing the blood pressure information includes the step of integrating the fitted mathematical model over a respiratory cycle.

6. The method of claim 1 wherein the step of computing the blood pressure information includes computing peak-to-peak amplitudes of the fitted mathematical model over a respiratory cycle.

7. The method of claim 1 wherein the mathematical model is an n^th order polynomial curve.

8. The method of claim 7 wherein n is at least equal to 3.

9. The method of claim 1 wherein the selected blood pressure features are selected from a group of blood pressure features including systolic data points, diastolic data points, and mean values of blood pressure for each cardiac cycle.

10. The method of claim 1 wherein the fitted mathematical model comprises curve fit data values substantially equal-spaced in time.

11. The method of claim 10 further comprising the step of surgically implanting a blood pressure sensor and a transmitter in the animal'"'"'s or human'"'"'s vascular system, the sensor sensing the variations in blood pressure from the animal or human and providing the electrical signal indicative of the sensed variations in blood pressure to the transmitter which transmits the electrical signal.

12. The method of claim 1 further comprising the steps of:

sensing variations in blood pressure from the animal or human and providing an electrical signal indicative of the sensed variations in blood pressure;

transmitting the electrical signal; and

receiving, external to the animal or human, the transmitted signal and providing the blood pressure signal which is proportional to the transmitted signal.

13. The method of claim 1 wherein the signal processing step is performed by digitally signal processing the blood pressure signal.