Apparatus and method for determining a health parameter of a subject

Patent metadata

Field	Value
Publication number	US-10524676-B2
Application number	US-201715542162-A
Country	US
Kind code	B2
Filing date	Jan 25, 2017
Priority date	Apr 29, 2016
Publication date	Jan 7, 2020
Grant date	Jan 7, 2020

Abstract

The present application discloses an apparatus for determining a health parameter of a subject. The apparatus includes one or more biometric sensors configured to detect one or more biometric signals of the subject; a memory; and at least one processor. The memory stores computer-executable instructions for controlling the at least one processor to receive the one or more biometric signals from the one or more biometric sensors; classify physiological state of the subject as one of a plurality of physiological states comprising at least a first physiological state and a second physiological state based on the one or more biometric signals, the first physiological state being different from the second physiological state; and calculate the health parameter of the subject using one of a plurality of algorithms comprising at least a first algorithm corresponding to the first physiological state and a second algorithm corresponding to the second physiological state.

First claim

What is claimed is:

1. An apparatus for determining a health parameter of a subject, comprising:
one or more biometric sensors configured to detect one or more biometric signals of the subject;
a memory; and
at least one processor;
wherein the one or more biometric sensors, the memory, the at least one processor are communicatively connected with each other;
the one or more biometric signals comprises at least a pulse wave signal of the subject; and
the memory stores computer-executable instructions for controlling the at least one processor to:
receive the one or more biometric signals from the one or more biometric sensors;
classify physiological state of the subject as one of a plurality of physiological states comprising a rest state, a running state, and a walking state based on the one or more biometric signals; and
calculate the health parameter of the subject using one of a plurality of algorithms comprising at least a first algorithm corresponding to the rest state and a second algorithm corresponding to the running state or the walking state, the first algorithm being different from the second algorithm;
wherein the first algorithm comprises calculating a first heart rate based on a first pulse wave signal alone;
wherein calculating the first heart rate based on the first pulse wave signal alone comprises processing the pulse wave signal to obtain an amplitude variation curve having a plurality of peaks, valleys, and intervals; and calculating the heart rate based on the amplitude variation curve;
wherein the second algorithm comprises:
fast Fourier transforming a second pulse wave signal to obtain a frequency spectrum of the second pulse wave signal and fast Fourier transforming at least one body motion signal other than the second pulse wave signal to obtain a frequency spectrum of the at least one body motion signal other than the second pulse wave signal;
processing the frequency spectrum of the second pulse wave signal to generate a first composite signal comprising a first noise component and a pulse wave signal component;
processing the frequency spectrum of the at least one body motion signal to generate a second composite signal comprising a second noise component;
denoising the first composite signal based on the second noise component to generate a denoised signal; and
calculating a second heart rate based on the denoised signal.

2. The apparatus of claim 1 , wherein the one or more biometric sensors comprise at least one of a photoelectric sensor, a pressure sensor, an accelerometer, and barometer, or an image sensor.

3. The apparatus of claim 1 , further comprising an analog-to-digital converter configured to convert the one or more biometric signals into digital data, and transmit the digital data to the processor for analysis; and
a user interface configured to display information and for a user to input data to the apparatus.

4. A wearable apparatus, comprising the apparatus for determining the health parameter of claim 1 .

5. A method of determining a health parameter of a subject, comprising:
detecting one or more biometric signals of the subject comprising at least a pulse wave signal of the subject;
classifying physiological state of the subject as one of a plurality of physiological states comprising a rest state, a running state, and a walking state based on the one or more biometric signals; and
calculating the health parameter of the subject using one of a plurality of algorithms comprising at least a first algorithm corresponding to the rest state and a second algorithm corresponding to the running state or the walking state, the first algorithm being different from the second algorithm;
wherein the first algorithm comprises calculating a first heart rate based on a first pulse wave signal alone;
wherein calculating the first heart rate based on the first pulse wave signal alone comprises processing the pulse wave signal to obtain an amplitude variation curve having a plurality of peaks, valleys, and intervals; and calculating the heart rate based on the amplitude variation curve;
wherein the second algorithm comprises:
fast Fourier transforming a second pulse wave signal to obtain a frequency spectrum of the second pulse wave signal and fast Fourier transforming at least one body motion signal other than the second pulse wave signal to obtain a frequency spectrum of the at least one body motion signal other than the second pulse wave signal;
processing the frequency spectrum of the second pulse wave signal to generate a first composite signal comprising a first noise component and a pulse wave signal component;
processing the frequency spectrum of the at least one body motion signal to generate a second composite signal comprising a second noise component;
denoising the first composite signal based on the second noise component to generate a denoised signal; and
calculating a second heart rate based on the denoised signal.

Assignees

• Boe Technology Group Co Ltd

Inventors

• Chen Ruisi

Classifications

• A61B5/02438 Primary

  with portable devices, e.g. worn by the patient · CPC title

• A61B5/02405

  Determining heart rate variability · CPC title

• A61B5/7257

  using Fourier transforms · CPC title

• A61B2560/0209

  adapted for power saving · CPC title

• A61B5/024

  Measuring pulse rate or heart rate · CPC title