Method and apparatus for establishing a blood pressure model and method and apparatus for determining a blood pressure
US-2018075209-A1 · Mar 15, 2018 · US
US10925495B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10925495-B2 |
| Application number | US-201715766987-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 4, 2017 |
| Priority date | May 4, 2017 |
| Publication date | Feb 23, 2021 |
| Grant date | Feb 23, 2021 |
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The present application discloses an apparatus for determining a blood pressure of a subject. The apparatus includes one or more sensors configured to measure a first physiological parameter of the subject; a memory; and one or more processors. The memory stores computer-executable instructions for controlling the one or more processors to decompose a first physiological signal corresponding to the first physiological parameter using an empirical mode decomposition algorithm into a sum of a plurality of intrinsic mode functions and a residual; identify one or more first intrinsic mode functions of the plurality of intrinsic mode functions that are associated with a noise signal, thereby obtaining one or more second intrinsic mode functions of the plurality of intrinsic mode functions that are different from the one or more first intrinsic mode functions; and calculate a denoised physiological signal by accumulating the one or more second intrinsic mode functions.
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What is claimed is: 1. An apparatus for determining a blood pressure of a subject, comprising: one or more sensors configured to measure a first physiological parameter of the subject; a memory; and one or more processors; wherein the one or more sensors, the memory and the one or more processors are coupled to each other; the memory stores computer-executable instructions for controlling the one or more processors to: decompose a first physiological signal corresponding to the first physiological parameter using an empirical mode decomposition algorithm into a sum of a plurality of intrinsic mode functions and a residual, wherein the first physiological parameter is a pulse wave; and the first physiological signal is a photoplethysmogram signal; identify one or more first intrinsic mode functions of the plurality of intrinsic mode functions that are associated with a noise signal, thereby obtaining one or more second intrinsic mode functions of the plurality of intrinsic mode functions that are different from the one or more first intrinsic mode functions; calculate a denoised physiological signal by accumulating the one or more second intrinsic mode functions; calculate a ratio of a photoplethysmogram peak intensity to a photoplethysmogram valley intensity in one cardiac cycle; determine a photoplethysmogram intensity ratio based on the ratio of the photoplethysmogram peak intensity to the photoplethysmogram valley intensity in the one cardiac cycle; obtain a first electrocardiography R-wave signal; determine a time interval between an electrocardiography R-wave peak of the first electrocardiography R-wave signal and a peak of a first derivative of the denoised physiological signal in one cardiac cycle; determine a pulse transit time based on the time interval; and determine the blood pressure of the subject using a blood pressure calculation algorithm based on the pulse transit time and the photoplethysmogram intensity ratio, according to equations (1) and (2): DBP - a PIR + b m h 2 + c ; and ( 1 ) SBP = a PIR + b m h 2 + d PTT 2 + e ; ( 2 ) wherein DBP is a diastolic blood pressure of the subject, SBP is a systolic blood pressure of the subject, PTT is the pulse transit time, PIR is the photoplethysmogram intensity ratio, m is a body weight of the subject, h is a height of the subject, and a, b, c, d, and e are constant coefficients. 2. The apparatus of claim 1 , wherein each of the plurality of intrinsic mode functions has a characteristic frequency, values of characteristic frequencies of the plurality of intrinsic mode functions are different from each other. 3. The apparatus of claim 2 , wherein the memory stores computer-executable instructions for controlling the one or more processors to select one or more of the plurality of intrinsic mode functions having characteristic frequencies outside a range of acceptable characteristic frequencies as the one or more first intrinsic mode functions. 4. The apparatus of claim 3 , wherein the one or more first intrinsic mode functions are associated with low frequency baseline drifting. 5. The apparatus of claim 1 , wherein the memory stores computer-executable instructions for controlling the one or more processors to: prior to decompose a first physiological signal, filter a high frequency noise from a second physiological signal to obtain the first physiological signal. 6. The apparatus of claim 1 , wherein the one or more sensors are configured to detect an electrocardiography R-wave of the subject to acquire a second electrocardiography R-wave signal; the memory stores computer-executable instructions for controlling the one or more processors to filter a high frequency noise from a second electrocardiography R-wave signal thereby obtaining the first electrocardiography R-wave signal. 7. The apparatus of claim 1 , wherein the first physiological signal is decomposed into a function according to equation (3): s ( t ) = ∑ k = 1 N IMF k ( t ) + r N ( t ) ; ( 3 )
Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval · CPC title
using photoplethysmograph signals, e.g. generated by infrared radiation (A61B5/14552 takes precedence) · CPC title
Determining signal validity, reliability or quality (preventing, reducing or removing noise induced by motion artefacts A61B5/7207; noise originating from a therapeutic or surgical apparatus A61B5/7217) · CPC title
of pulse wave amplitude (A61B5/02225 takes precedence) · CPC title
Artificial waveform generation or derivation, e.g. synthesizing signals from measured signals · CPC title
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