Wireless automatic ankle-brachial index (AABI) measurement system

• US 20100292586A1
• Filed: 05/13/2009
• Published: 11/18/2010
• Est. Priority Date: 05/13/2009
• Status: Abandoned Application

• Current Assignee: David Liedl, Lieven Cauwenberghs, Thom W. Rooke
• Original Assignee: David Liedl, Lieven Cauwenberghs, Thom W. Rooke
• Inventors: Liedl, David, Cauwenberghs, Lieven, Rooke, Thom W.
• Application Number:
  US12/454,215
• Publication Number:
  US 20100292586A1
• Time in Patent Office: Days
• US Class Current: 600/492
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/02007 Evaluating blood vessel condition, e.g. elasticity, compliance
• CPC Class Codes: A61B 5/02225 using the oscillometric method
• CPC Class Codes: A61B 5/0225 the pressure being controlled by electric signals, e.g. derived from Korotkoff sounds
• CPC Class Codes: A61B 5/7239 using differentiation including higher order derivatives

Abstract

A central processor controlled system and test procedure for independently, contemporaneously and plethysmographically monitoring arterial blood pressure at a subject'"'"'s arms and legs. Micro-controlled occluding and sensing cuffs containing sensors are inflated and deflated at each limb of a supine patient. Sensed AC and DC pressure data is wirelessly linked to the central processor where the DC sensor data is sampled to derive median filtered, fitted and derivative waveforms that are iteratively processed and scored to determine a table of sample indices indicative of lowest pressure point. Second scoring and fittings about the lowest pressure point at the DC sensor data and original occluding cuff pressure data identify each limb'"'"'s systolic pressure. The derived systolic limb pressure values are then processed to determine right and left ABI values.

Claims

1. Apparatus for determining a blood pressure of a subject comprising:

a) a pressure monitor adapted to be coupled to a limb of a test subject, wherein the monitor comprises

     1) first and second inflatable cuffs and first and second pressure sensors respectively coupled to said first and second cuffs,

     2) a compressor,

     3) a deflation valve coupled to said first and second cuffs,

     4) a first processor and wherein said first processor i) controls said compressor to inflate said first cuff to engage said first sensor to the limb and until blood flow through the limb is occluded and, ii) controls said compressor to inflate said second cuff to engage said second sensor to the limb at a location distal to said first cuff, iii) controls said deflation valve to deflate said first cuff in a plurality of steps, iv) stores data from said first sensor defining the pressure of said first cuff at occlusion and at each of said steps, and v) stores blood flow pressure data from said second sensor until termination of the deflation of the first cuff;

b) a wireless communication link;

c) a second processor coupled to said first processor via said communication link to receive data collected from said first and second sensors; and

d) wherein the second processor processes the data received from said first and second sensors by i) sampling the occluding pressure data from said first sensor and the blood flow pressure data from said second sensor in a filtering operation to obtain first and second tables of indexed sample data and whereby the sample data exhibits reduced artifact and noise variances, ii) sampling the blood flow pressure sample data from table two in a derivative function to obtain a third table of sampled derivative data including at least one value identifying at least one slope transition of a waveform defined by the sample data of table two from declining to inclining, iii) arithmetically scoring seriatim groupings of the filtered sample data of table two relative to a plurality of conditions of the waveform of the filtered sample values and relative to the derivative values of said table three to determine an arithmetic score defining a low point sample value where the at least one slope transition of the filtered blood flow pressure sample data changes from declining to inclining, iv) correlating the low point sample value of table two relative to the unfiltered pressure data measured by the sensor one to determine a systolic pressure when blood flow returns to the monitored limb.

2. Apparatus as set forth in claim 1 wherein said first and second sensors are integrated into said first and second cuffs and wherein the occluded first cuff is deflated in a linear fashion with a constant pressure drop at each deflation step.

3. Apparatus as set forth in claim 1 wherein during inflation of said first and second cuffs the compressor is gradually slowed as an occlusion pressure for said first cuff and a sensor retention pressure for said second cuff is neared.

4. Apparatus as set forth in claim 1 wherein the sampled derivative data of table three includes a plurality of sample values identifying a plurality of slope transitions from declining to inclining and inclining to declining and which sample values can coincide with motion artifacts, signal or vascular noise.

5. Apparatus as set forth in claim 1 wherein the pressure monitor identifies the limb of the subject to which it is attached and re-learns the limb with each new test.

6. Apparatus as set forth in claim 1 including a DC voltage charging device for recharging a contained power supply of a plurality of said pressure monitors between tests.

7. A method for determining a systolic blood pressure of a subject comprising:

a) coupling a pressure monitoring device to a limb of a test subject, wherein the monitoring device comprises

     1) a first inflatable cuff having a first pressure sensor coupled to the limb and a second inflatable cuff having a second pressure sensor coupled to the limb distal to said first sensor,

     2) a compressor,

     3) a deflation valve coupled to said inflatable cuff,

     4) a first processor and wherein said first processor i) controls said compressor to inflate said first cuff to engage said first sensor to the limb and until blood flow through the associated limb is occluded and to inflate said second cuff to engage said second sensor to the limb, ii) controls said deflation valve to deflate said first cuff in a plurality of deflation steps until blood flow returns to the limb, iii) stores pressure data from said first sensor at occlusion and at each deflation step until a test is terminated, and iv) stores blood flow pressure data from said second sensor until termination of the deflation of said first cuff;

b) enabling a wireless communication link;

c) coupling a second processor to said first processor via said communication link to receive the data collected from said first and second sensors; and

d) processing the received first and second sensor data at said second processor by i) sampling the occluding pressure data from said first sensor and the blood flow pressure data from said second sensor in a filtering operation to obtain first and second tables of indexed sample data and whereby the sample data exhibits reduced artifact and noise variances, ii) sampling the blood flow pressure sample data from table two in a derivative function to obtain a third table of sampled derivative data including at least one value identifying at least one slope transition of a waveform defined by the sample data of table two from declining to inclining, iii) arithmetically scoring seriatim groupings of the filtered sample data of table two relative to a plurality of conditions of the waveform of the filtered sample values and relative to the derivative values of said table three to determine an arithmetic score defining a low point sample value where the at least one slope transition of the filtered blood flow pressure sample data changes from declining to inclining, iv) correlating the low point sample value of table two relative to the unfiltered pressure data measured by the sensor one to determine a systolic pressure when blood flow returns to the monitored limb.

8. A method as set forth in claim 7 wherein a plurality of monitoring devices are mounted to a plurality of limbs, wherein the second processor determines a systolic pressure for each limb and wherein the second processor determines a ratio of the systolic pressure for a limb near a subject'"'"'s heart to a systolic pressure determined for another limb more remote from the subject'"'"'s heart to define an index value representative of the occlusion of the blood vessels contained in the remote limb.

9. A method as set forth in claim 7 wherein the arithmetic score value is computed from a plurality of values obtained from a class of parameters derived from the pressure data measured by the sensor two and the sample data of tables one, two and three and which class of parameters can include:

i) a value correlated to declining slope data of table three immediately prior to the determined low point,

ii) a value correlated to inclining slope data of table three immediately after the determined low point,

iii) a value correlated to inclining slope data of table two immediately after the determined low point and adjusted for the sample value of the low point,

iv) a value correlated to inclining slope data of table two immediately after the determined low point and indicative of the rate of change of the inclining slope,

v) a value correlated to declining slope data of table two immediately before the located low point defining the rate of change of the inclining slope, and

vi) a value correlated to a pressure drop or difference between the maximum and minimum values of the unfiltered pressure data of sensor two.

10. A method as set forth in claim 9 wherein the highest score value determines the low point sample value and wherein the second processor upon determining the low point sample value selects a narrowed range of sample values of table two containing the low point sample value, performs a second filtering of the narrowed range and a second arithmetic scoring of the narrowed range to determine a refined low point sample value and the index to which is correlated to the unfiltered data of sensor one to determine the systolic pressure.

11. A method as set forth in claim 10 wherein the second processor during the correlation of the refined low point sample value of table two to the filtered sample data of table one performs a linear fitting operation on a narrowed range of the unfiltered pressure data from sensor one that includes the pressure at the refined low point sample value to determine a final low point index and the corresponding sensor one pressure which is selected as the systolic pressure.

12. A method for determining a blood pressure index of a subject comprising:

a) coupling a plurality of pressure monitoring devices to the arms and at least one leg of a test subject, wherein each monitoring device comprises

     1) first and second inflatable cuffs and first and second pressure sensors respectively coupled to said first and second cuffs,

     2) a compressor,

     3) a deflation valve coupled to said first and second cuffs,

     4) a first processor and wherein said first processor of each pressure monitoring device independently i) controls said compressor to inflate said first cuff to engage the first sensor to the associated limb and until blood flow through the associated limb is occluded, ii) controls said compressor to inflate said second cuff to engage said second sensor to the associated limb at a location distal to said first cuff, iii) controls said deflation valve to deflate said first cuff in a plurality of deflation steps until flow returns to the limb, iv) stores data from said first sensor defining the pressure of said first cuff at occlusion and at each deflation step, and v) stores data from said second sensor defining the blood flow through the limb until termination of the stepped deflation of said occluding cuff;

b) enabling a wireless communication link;

c) coupling a second processor to said first processor of each monitoring device via said communication link to receive the stored data of said first and second sensors of each monitoring device; and

d) processing the received first and second sensor data from each monitoring device at said second processor by respectively i) sampling the occluding pressure data from said first sensor and the blood flow pressure data from said second sensor in a median filtering operation to obtain first and second tables of indexed sample values and whereby the pressure sample data exhibits reduced artifact and noise variances, ii) sampling the blood flow pressure sample data of table two in a derivative function to obtain a third table of derivative values including at least one value identifying at least one slope transition of a waveform defined by the sample data of table two from declining to inclining, iii) arithmetically scoring seriatim groupings of said median sample data of table two relative to a plurality of conditions of the waveform defined by the table two sample values and relative to the derivative values of said table three to determine an arithmetic score defining a low point sample value where the at least one slope transition of the median blood flow pressure sample data of table two changes from declining to inclining, iv) correlating the low point sample value of table two relative to the occluding cuff pressure data of table one and the related pressure measured by the sensor two to determine a systolic pressure for the monitored limb, v) computing a ratio of the of the systolic pressures determined by the second processor from the plurality of monitoring devices wherein the highest systolic pressure determined for the arms is contrasted to the systolic pressure determined for the at least one leg to define an index value representative of the occlusion of the blood vessels contained in the leg.

13. A method as set forth in claim 12 wherein the arithmetic score value is computed from a plurality of values obtained from a class of parameters derived from the pressure data measured by the sensor two and the sample data of tables one, two and three and which class of parameters can include:

i) a value correlated to declining slope data of table three immediately prior to the determined low point,

ii) a value correlated to inclining slope data of table three immediately after the determined low point,

iii) a value correlated to inclining slope data of table two immediately after the determined low point and adjusted for the sample value of the low point,

iv) a value correlated to inclining slope data of table two immediately after the determined low point and indicative of the rate of change of the inclining slope,

v) a value correlated to declining slope data of table two immediately before the located low point defining the rate of change of the inclining slope, and

vi) a value correlated to a pressure drop or difference between the maximum and minimum values of the unfiltered pressure data of sensor two.

14. A method as set forth in claim 12 wherein each pressure monitoring device re-identifies the limb to which it is attached to said second processor with each successive test.