Method and device for determining brachial arterial pressure wave on the basis of nonivasively measured finger blood pressure wave

• US 5,746,698 A
• Filed: 09/30/1996
• Issued: 05/05/1998
• Est. Priority Date: 09/28/1995
• Status: Expired due to Term

• Current Assignee: Nederlandse Organisatie Voor Toegepast-Natuurwetenschappelijk Onderzoek Tno
• Original Assignee: Nederlandse Organisatie Voor Toegepast-Natuurwetenschappelijk Onderzoek Tno
• Inventors: Bos, Willem Jan Wubbo, Wesseling, Karel Hendrik
• Primary Examiner(s): Kamm, William E.
• Assistant Examiner(s): SCHAETZLE, KENNEDY
• Application Number:
  US08/723,119
• Time in Patent Office: 582 Days
• Field of Search: 128/672, 128/687, 128/691, 128/677, 128/680, 128/681, 128/678, 600/485, 600/500, 600/504, 600/490, 600/493, 600/491, 600/494
• US Class Current: 600/493
• CPC Class Codes: A61B 5/022 by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
• 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

Abstract

Method and device for determining a proximal arterial blood pressure waveform in a person, starting from a distally measured arterial pressure waveform, by first applying age-dependent waveform filtering to the distal pressure waveform, in order to obtain the proximal pressure waveform with mutually correct systolic, diastolic and mean pressure levels, and by then shifting the filtered pressure waveform by means of calibration to the correct proximal pressure level, for example by calibration of one level of the filtered systolic, diastolic or mean pressure levels with the corresponding proximal pressure level. This can be a single noninvasively measured systolic or diastolic or mean pressure level. The age for the purpose of the age-dependent waveform filtering is derived from the distally measured pressure waveform, for example by means of a trained neural network. The level shift in the filtered pressure waveform can be obtained by means of a regression equation which has entered in it only the filtered pressure waveform with corresponding systolic and diastolic pressure levels, or the above combined with a noninvasively measured single brachial pressure level.

Claims

1. Method for determining a proximal arterial blood pressure waveform in a person, starting from a distally measured arterial pressure waveform, comprising the steps of:

applying age-dependent waveform filtering to the distal pressure waveform, in order to obtain the proximal pressure waveform with mutually correct systolic, diastolic and mean pressure levels, and calibrating the filtered pressure waveform to the correct proximal pressure level.

2. Method according to claim 1, further comprising the step of calibrating one level of the filtered systolic, diastolic or mean pressure levels with the corresponding proximal pressure level.

3. Method according to claim 2, wherein the step of applying age-dependent waveform filtering converts a pressure waveform measured noninvasively on the finger into an intrabrachial pressure waveform, and wherein the step of calibrating the filtered pressure waveform calibrates the corresponding pressure level by means of a single, noninvasively measured, systolic or diastolic or mean brachial pressure level.

4. Method according to claim 3, wherein the abovementioned corresponding brachial pressure level is the systolic pressure level, and further comprising the steps of measuring the systolic pressure level with a pressure cuff on the upper arm, and of measuring the arterial finger pressure with a pressure cuff on a finger on the same arm for determining a moment of return-to-flow of the blood.

5. Method according to claim 3, wherein the level of shift of the filtered pressure waveform is obtained by means of a regression equation, which has entered in it not only the filtered pressure waveform with corresponding systolic and diastolic pressure levels, but also a noninvasively measured single brachial pressure level.

6. Method according to claim 1, further comprising the step of deriving an age for the age-dependent waveform filtering from the distally measured pressure waveform.

7. Method according to claim 6, wherein the step of deriving the age comprises the step of using a trained neural network.

8. Method according to claim 1, further comprising the step of measuring the abovementioned pressure waveform and pressure levels noninvasively.

9. Method according to claim 1, wherein the level of shift of the filtered pressure waveform is obtained by means of a regression equation, which has entered in it only the filtered pressure waveform with corresponding systolic and diastolic pressure levels.

10. Device for carrying out the method according to claim 1, which device is provided with a finger sphygmomanometer with measuring head and finger pressure cuff, an upper arm pressure cuff with electromanometer, and a control and processing unit, which unit comprises at least an inverse age-dependent filter for filtering the arterial finger pressure waveform, and a calibration circuit for shifting the filtered pressure waveform to the brachial pressure level.