Systems and methods for model-based non-contact physiological data acquisition

• US 9,642,543 B2
• Filed: 11/14/2014
• Issued: 05/09/2017
• Est. Priority Date: 05/23/2013
• Status: Active Grant

• Current Assignee: Arizona Board of Regents (University of Arizona)
• Original Assignee: Arizona Board of Regents (University of Arizona)
• Inventors: Banerjee, Ayan, Gupta, Sandeep K. S.
• Primary Examiner(s): Kahelin, Michael
• Assistant Examiner(s): PHAM, MINH DUC GIA
• Application Number:
  US14/542,172
• Publication Number:
  US 20150087931A1
• Time in Patent Office: 907 Days
• Field of Search: 600515
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/0024 for multiple sensor units attached to the patient, e.g. using a body or personal area network
• 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 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/0245 by using sensing means generating electric signals, i.e. ECG signals
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/352 Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• CPC Class Codes: A61B 5/726 using Wavelet transforms

Abstract

System and method for non-contact acquisition of current physiological data representing a subject. A first electromagnetic wave representing current physiological status of a first subject is modified by a second electromagnetic wave representing current physiological status of a second subject in proximity to the first subject. A parameter of the first electromagnetic wave representing a first physiological status of a first subject is measured with electronic circuitry to extract a parameter of the second electromagnetic wave. Historical physiological data associated with the second subject is acquired. The current physiological data representing current physiological status of the second subject is then derived based on historical physiological data of the second subject and a comparison between the first and second parameters.

Claims

1. A method for non-contact acquisition of current physiological data representing a subject, the method comprising:

detecting an electromagnetic wave at least in part generated by a first subject with electronic circuitry that is associated with said first subject;

said electromagnetic wave including a first electromagnetic wave that has been modified by a second electromagnetic wave,

said first electromagnetic wave representing a first physiological state of said first subject,

wherein said second electromagnetic wave is generated by a second subject and represents a second physiological state of said second subject;

based on a first parameter of said first electromagnetic wave, that has been determined with a programmable processor from the electromagnetic wave at least in part generated by said first subject, determining a second parameter of said second electromagnetic wave;

acquiring a set of historical physiological data associated with the second subject from a tangible, non-transitory data storage medium; and

deriving current physiological data representing current physiological state of the second subject based on said set of historical physiological data and a comparison between the first and second parameters, the deriving further comprising;

a) filtering, with the electronic circuitry, the first electromagnetic wave emitted by the first subject to remove a DC offset thereof;

b) performing a continuous wavelet transform (CWT) of the first electromagnetic wave to form a CWT-transformed first electromagnetic wave;

c) extracting a scale parameter data from the CWT-transformed first electromagnetic wave;

d) setting a duration of a time-gate to detect a plurality of peaks of said CWT-transformed first electromagnetic wave;

e) updating said duration; and

f) repeating steps a) through e) to analyze the first electromagnetic wave.

2. The method of claim 1, further comprising attaching the electronic circuitry to the first subject.

3. The method of claim 1, further comprising determining, with the processor, a plurality of parameters from the second electromagnetic wave generated by the second subject.

4. The method of claim 3, wherein the plurality of parameters include at least one of a mean heart rate, standard deviation of heart rate, and a low-frequency to high-frequency ratio of an electrocardiogram of the second subject.

5. The method of claim 3, wherein said determining the plurality of parameters from the second electromagnetic wave further comprises:

performing a fast fourier transform (FFT) of the second electromagnetic wave to generate a first signal;

determining a plurality of peaks of the first signal;

calculating peak features for each peak of the plurality of peaks; and

generating a feature set including said peak features for each peak of the plurality of peaks of the first signal.

6. The method of claim 1, wherein said performing the CWT of the first electromagnetic wave includes employing a Coiflet-1 wavelet algorithm.

7. The method of claim 1, wherein said first electromagnetic wave includes an electroencephalographic wave, wherein said second electromagnetic wave includes an electrocardiographic (ECG) wave, and wherein said repeating includes repeating steps a) through e) to detect all of P, Q, R, S, and T-peaks present in the ECG wave.

8. The method of claim 1, wherein the first subject and the second subject are at least one of a human subject and a non-human subject.

9. The method of claim 1, further comprising positioning the first subject in close proximity to the second subject.

10. The method of claim 1, wherein said deriving current physiological data includes employing a principle of electricity of touch.

11. The method of claim 1, further including analyzing said set of historical physiological data that represent the second subject and comparing the first and second parameters with the processor to obtain current physiological data representing the first subject.