Apparatus for and method of measuring blood pressure

US10405806B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10405806-B2
Application numberUS-201514961145-A
CountryUS
Kind codeB2
Filing dateDec 7, 2015
Priority dateMar 6, 2015
Publication dateSep 10, 2019
Grant dateSep 10, 2019

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

An apparatus for and a method of measuring blood pressure are provided. The apparatus includes a sensor configured to radiate light to a body part, and detect a light signal that is changed due to the body part. The apparatus further includes a signal processor configured to determine a bio signal based on the light signal; and a central processing unit configured to determine a blood pressure based on the bio signal and a blood pressure estimation algorithm.

First claim

Opening claim text (preview).

What is claimed is: 1. An apparatus configured to measure blood pressure, the apparatus comprising: a sensor configured to radiate light to a body part, and detect a light signal that is changed due to the body part to which the light is radiated; a signal processor configured to determine a bio signal, based on the light signal; and a central processing unit configured to: correct the bio signal; extract feature points from the bio signal that is corrected; input the feature points into an artificial neural network algorithm to learn a hidden layer matrix of the artificial neural network algorithm; estimate a plurality of blood pressures as a product between the hidden layer matrix and a vector that is formed from the feature points; extract one cycle of the bio signal that is corrected; extract a systolic upstroke time interval and a diastolic time interval from the one cycle; determine a linear relation equation of a blood pressure, from the plurality of blood pressures over the systolic upstroke time interval and the diastolic time interval; and determine the blood pressure, based on the linear relation equation. 2. The apparatus of claim 1 , wherein the signal processor is further configured to: extract a cycle of the light signal; and sample data from the cycle of the light signal at equidistant time intervals or based on a user input. 3. The apparatus of claim 1 , wherein the signal processor is further configured to: compare power spectrums within a frequency range of bio signals that are determined based on channels; and select a channel having a maximum power spectrum from the channels. 4. The apparatus of claim 3 , wherein, the signal processor is further configured to, in response to the signal processor selecting the channel having the maximum power spectrum or using a single channel, select a part of a bio signal that corresponds to the channel that is selected or the single channel, in which a power spectrum value within the frequency range is greater than a value, as a valid part of the bio signal. 5. The apparatus of claim 1 , further comprising a display configured to display the blood pressure. 6. The apparatus of claim 1 , further comprising a memory configured to store a blood pressure estimation algorithm and information of the bio signal. 7. The apparatus of claim 1 , wherein the sensor comprises a light emitter configured to radiate the light to the body part, and a light receiver configured to detect the light signal that is changed due to the body part, the light receiver comprises a photodiode or an image sensor, and the light emitter comprises a laser diode or a light emitting diode. 8. The apparatus of claim 1 , wherein the sensor comprises a light emitter configured to radiate the light to the body part, and a light receiver configured to detect the light signal that is changed due to the body part, the light emitter comprises a laser diode, and the central processing unit is further configured to determine the blood pressure, based on the bio signal in response to the sensor being spaced apart from a skin of an examinee. 9. The apparatus of claim 1 , wherein the bio signal is periodically obtained at predetermined time intervals. 10. The apparatus of claim 1 , wherein the central processing unit is further configured to correct the blood pressure, based on another blood pressure that is determined by another device. 11. The apparatus of claim 1 , further comprising a body information interface configured to receive body information of at least one among an age, a gender, a weight, and a height of an examinee, wherein the central processing unit is further configured to determine the blood pressure, based on the bio signal and the body information. 12. The apparatus of claim 1 , wherein the apparatus is portable, and is implemented in one among a wrist watch, a mobile smart phone, a tablet computer, an earphone, a headset, and glasses. 13. The apparatus of claim 1 , wherein the apparatus is implemented in a wrist watch, and the sensor is positioned on a back of a main body or a strap of the wrist watch. 14. A method of measuring blood pressure, the method comprising: radiating light to a body part; detecting a light signal that is changed due to the body part to which the light is radiated; determining a bio signal, based on the light signal; correcting the bio signal; extracting feature points from the bio signal that is corrected; inputting the feature points into an artificial neural network algorithm to learn a hidden layer matrix of the artificial neural network algorithm; estimating a plurality of blood pressures as a product between the hidden layer matrix and a vector that is formed from the feature points; extracting one cycle of the bio signal that is corrected; extracting a systolic upstroke time interval and a diastolic time interval from the one cycle; determining a linear relation equation of the blood pressure, from the plurality of blood pressures over the systolic upstroke time interval and a diastolic time interval; and determining the blood pressure, based on the linear relation equation. 15. The method of claim 14 , wherein the extracting comprises: determining a maximum point of the bio signal that is corrected and a minimum point adjacent to the maximum point; and extracting the feature points from the bio signal that is corrected at equidistant time intervals or based on a user input. 16. The method of claim 14 , wherein the correcting comprises: correcting a baseline of a sequence of the bio signal; and removing high frequency noise from the sequence that is corrected.

Assignees

Inventors

Classifications

  • Signal processing specially adapted for physiological signals or for diagnostic purposes · CPC title

  • using photoplethysmograph signals, e.g. generated by infrared radiation (A61B5/14552 takes precedence) · CPC title

  • Details of sensors specially adapted therefor · CPC title

  • Arm or wrist · CPC title

  • Special features of optical sensors or probes classified in A61B5/00 · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US10405806B2 cover?
An apparatus for and a method of measuring blood pressure are provided. The apparatus includes a sensor configured to radiate light to a body part, and detect a light signal that is changed due to the body part. The apparatus further includes a signal processor configured to determine a bio signal based on the light signal; and a central processing unit configured to determine a blood pressure …
Who is the assignee on this patent?
Samsung Electronics Co Ltd
What technology area does this patent fall under?
Primary CPC classification A61B5/021. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Sep 10 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).