BIOMETRIC PARAMETER DATA EXTRACTION FROM A PATIENT SURFACE BY AIR PRESSURE SENSING

• US 20170035360A1
• Filed: 07/28/2016
• Published: 02/09/2017
• Est. Priority Date: 08/05/2015
• Status: Abandoned Application

• Current Assignee: Hill-Rom Services Incorporated (Baxter International Inc.)
• Original Assignee: Hill-Rom Services Incorporated (Baxter International Inc.)
• Inventors: Shannon, Gregory John, Goewert, John, Seim, Douglas A., Monson, Gavin M., Christie, John D., Byers, John G., Tallent, Dan R.
• Application Number:
  US15/221,681
• Publication Number:
  US 20170035360A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2562/0247 Pressure sensors
• CPC Class Codes: A61B 2562/028 Microscale sensors, e.g. electromechanical sensors [MEMS]
• CPC Class Codes: A61B 2562/168 Fluid filled sensor housings
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/113 occurring during breathing
• CPC Class Codes: A61B 5/6892 Mats
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/725 using specific filters therefor, e.g. Kalman or adaptive filters A61B5/316 take precedence
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• CPC Class Codes: A61B 5/726 using Wavelet transforms
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

In a method or system for obtaining patient biometric parameter data from a patient support surface comprising at least one air pressure bladder inflated by air pressure through an air supply line from an air pump reservoir controlled by a bladder air controller receiving an air pressure signal from a pressure sensor in the air supply line, signal processing a variation of the air pressure signal from the pressure sensor to extract the patient biometric parameter data.

Claims

1. A method for obtaining patient biometric parameter data from a patient support surface comprising at least one air pressure bladder inflated by air pressure through an air supply line from an air pump reservoir controlled by a bladder air controller receiving an air pressure signal from a pressure sensor in the air supply line, comprising the step of:

signal processing a variation of the air pressure signal from the pressure sensor to extract the patient biometric parameter data.

2. The method of claim 1 wherein a head bladder, a midsection bladder, and a foot section bladder are provided in said patient support surface, and respective pressure sensors being connected in supply lines to each of the bladders from the bladder air controller, and wherein a respective pressure signal is provided by each of the three pressure sensors for the signal processing.

3. The method of claim 1 wherein the pressure sensor has at least a 1 kHz bandwidth.

4. The method of claim 1 wherein the pressure sensor comprises a micro electro-mechanical system piezo load beam type sensor.

5. The method of claim 1 wherein the biometric patient parameter data comprises data at least for patient parameters heart rate and respiration.

6. The method of claim 1 wherein a respective control valve is provided connected in series with the pressure sensor between the bladder air controller and the bladder.

7. The method of claim 1 wherein a user interface display is used to display the patient biometric parameter data.

8. The method of claim 1 wherein the pressure sensor pre-exists at the patient surface prior to connecting a patient biometric parameter data extraction processor to the pressure sensor for the signal processing of the variation of the air pressure signal.

9. The method of claim 1 wherein the signal processing comprises a detrending to at least one of remove offset, remove gain and errors, and detrend artifacts.

10. The method of claim 9 wherein after the detrending a blind source separation operation is performed using an independent component analysis transform.

11. The method of claim 10 wherein after utilizing the independent component analysis transform an artifact suppression operation is performed.

12. The method of claim 11 wherein after the artifact suppression at least one of a discrete fourier transform, a discrete wavelet transform, and a signal statistics extraction operation is performed.

13. The method of claim 12 wherein after at least one of the discrete fourier transform, discrete wavelet transform, and signal statistics extraction operation is performed a bandpass/moving average or Kalman filtering operation smoothes a signal followed by a power spectral density analysis operation and normalization operation.

14. The method of claim 13 wherein following the normalization a biometric signal statistics parameter amalgamation operation is performed resulting in a biometric signal statistics parameter estimation operation and outputting of a biometric statistics estimate factor.

15. A method for obtaining patient biometric parameter data from a pre-existing patient support surface comprising at least one air pressure bladder inflated by air pressure through an air supply line from a pre-existing air pump reservoir controlled by a bladder air controller receiving an air pressure signal from a pressure sensor in the air supply line, comprising the step of:

connecting a signal processor to receive said air pressure signal from the pressure sensor; and

signal processing a variation of the air pressure signal from the pressure sensor by use of the signal processor to extract the patient biometric parameter data.

16. A system for obtaining patient biometric parameter data, comprising:

a patient support surface comprising at least one air pressure bladder inflated by air pressure through an air supply line from an air pump reservoir controlled by a bladder air controller receiving an air pressure signal from a pressure sensor in said air supply line; and

a patient biometric parameter data extraction processor also receiving said air pressure signal and determining the patient biometric parameter data based on a signal processing of a variation of the air pressure signal from the pressure sensor.

17. The system of claim 16 wherein the patient support surface comprises a head bladder, a midsection bladder, and a foot section bladder, and wherein respective pressure signals are connected by supply lines to each of the bladders from the bladder air controller, and a respective pressure signal is provided by each of respective pressure sensors in the respective supply lines to the data extraction processor.

18. The system of claim 16 wherein the pressure sensor has at least a 1 kHz bandwith.

19. The system of claim 16 wherein the pressure sensor comprises a micro electro-mechanical system piezo load beam type sensor.

20. The system of claim 16 wherein the biometric patient parameter data comprises data at least for patient parameters heart rate and respiration.

21. The system of claim 16 wherein a respective control valve is connected in series with the pressure sensor between the bladder air controller and the bladder.

22. The system of claim 16 wherein a user interface display is associated with the patient biometric parameter data extraction processor.

23. The system of claim 16 wherein the patient biometric parameter data extraction processor comprises detrending, artifact suppression, and at least one of discrete fourier transform, discrete wavelet transform, and signal statistics extraction operations.

24. The system of claim 23 wherein the patient biometric parameter extraction processor following at least one of the discrete fourier transform, discrete wavelet transform, and signal statistics extraction operations performs a bandpass/moving average or Kalman filtering operation followed by a power spectral density analysis, followed by a normalization operation, a biometric signal statistics parameter amalgamation operation, and a biometric signal statistics parameter estimation operation creating biometric statistics estimate vectors.