CN110960218A - Human body breathing state monitoring device and method based on images - Google Patents
Human body breathing state monitoring device and method based on images Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/0816—Measuring devices for examining respiratory frequency
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0033—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room
- A61B5/004—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/147—Details of sensors, e.g. sensor lenses
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/08—Feature extraction
- G06F2218/10—Feature extraction by analysing the shape of a waveform, e.g. extracting parameters relating to peaks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/12—Classification; Matching
Abstract
The invention discloses a human body breathing state monitoring device and method based on images, which realize real-time monitoring of the human body breathing state; the device includes: the breathing state detection module is used for detecting a light deviation image of the breathing state of the human body and transmitting the light deviation image to the image processing module; and the image processing module is used for processing the light deviation image of the human body breathing state, generating a breathing signal waveform, calculating the human body breathing frequency, comparing the human body breathing frequency with a set threshold value, and alarming when the human body breathing frequency is abnormal.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to a human body breathing state monitoring device and method based on images.
Background
With the development of science and technology, the image processing technology is applied to various fields, so that not only can the labor be saved, but also the real-time monitoring can be realized, and the early warning can be given out.
The photosensitive sensor is based on an amplifier for detecting light spots and an AD conversion technology, and utilizes a photosensitive diode to perform light and electricity conversion, so that optical information is converted into digital information, and digital image data with high resolution is obtained.
The inventor discovers that the respiratory motion displacement of the tumor target area at the chest and abdomen part can accurately position the radiotherapy target area to form larger adverse effect, and the respiratory motion displacement cannot be monitored in real time when the respiratory state of a human body is controlled by a respiratory controller in the traditional lung cancer radiotherapy process, so that the respiratory state of a patient needs to be manually monitored and judged, and the defects of low efficiency and inaccurate monitoring exist.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a human body breathing state monitoring device and method based on images, which realize real-time monitoring of the human body breathing state.
The technical scheme of the human body breathing state monitoring device based on the image provided by the invention on one hand is as follows:
an image-based human respiratory condition monitoring device, the device comprising:
the breathing state detection module is used for detecting a light deviation image of the breathing state of the human body and transmitting the light deviation image to the image processing module;
and the image processing module is used for processing the light deviation image of the human body breathing state, generating a breathing signal waveform, calculating the human body breathing frequency, comparing the human body breathing frequency with a set threshold value, and alarming when the human body breathing frequency is abnormal.
Furthermore, the respiration state detection module comprises a light emitter, a reflecting plate positioned on the abdomen of the human body, a receiving plate and a photosensitive image sensor arranged on the receiving plate;
the light emitter emits light to the reflecting plate, the light is reflected to the receiving plate through the reflecting plate, a light spot is formed on the surface of the receiving plate, offset signals of the light spot on the receiving plate moving along with breathing are collected in real time through the photosensitive sensor, and the offset signals are sent to the image processing module.
Further, the image processing module comprises an image acquisition card and an upper computer, the image acquisition card receives a light shift signal acquired by the photosensitive image sensor, converts the light shift signal into a digital signal, forms a light shift image and transmits the light shift image to the upper computer, the upper computer processes and analyzes each frame of received light shift image, detects the position of a light spot, forms a light spot position sequence, generates a respiratory signal waveform according to the light spot position sequence, calculates the respiratory frequency of a human body, comprises a single respiratory chest position and a single respiratory duration, sets a respiratory amplitude early warning value and a respiratory cycle early warning value, and warns when the single respiratory chest position is lower than the set respiratory amplitude early warning value; when the length of a single breath is higher than a set breath cycle early warning value, early warning is carried out, otherwise, the breath state is judged to be normal.
The technical scheme of the human body breathing state monitoring method based on the image provided by the invention on the other hand is as follows:
an image-based human respiration state monitoring method comprises the following steps:
acquiring a light shift image of the respiratory state of a human body;
processing the light shift image of the human breathing state to generate a breathing signal waveform, calculating the human breathing frequency, comparing the human breathing frequency with a set threshold value, and alarming when the human breathing frequency is abnormal.
Further, the step of acquiring a light shift image of the respiratory state of the human body comprises:
the light emitter emits light to the reflecting plate positioned on the abdomen of a human body, the light is reflected to the receiving plate through the reflecting plate, a light spot is formed on the surface of the receiving plate, and the light spot on the receiving plate collects offset signals of the light spot moving along with respiration through the photosensitive sensor in real time.
Further, the step of processing the light-shift image of the human breathing state includes:
receiving the light deviation signal collected by the photosensitive image sensor through an image collection card, converting the light deviation signal into a digital signal, forming a light deviation image, and transmitting the light deviation image to an upper computer;
the upper computer processes and analyzes each frame of received light shift image, detects the position of a light spot to form a light spot position sequence, generates a respiratory signal waveform according to the light spot position sequence, calculates the respiratory frequency of a human body, comprises a single respiratory chest position and a single respiratory duration, sets a respiratory amplitude early warning value and a respiratory cycle early warning value, and carries out early warning when the single respiratory chest position is lower than the set respiratory amplitude early warning value; when the length of a single breath is higher than a set breath cycle early warning value, early warning is carried out, otherwise, the breath state is judged to be normal.
Through the technical scheme, the invention has the beneficial effects that:
(1) the invention can obtain the accurate respiratory state of the human body, overcomes the defect of artificial respiratory state monitoring, reduces the workload and simultaneously improves the accuracy of human respiratory state monitoring;
(2) the invention can give an alarm, prevents the negligence of monitoring the real-time respiratory state of the human body caused by incomplete manual monitoring, enables a doctor to quickly respond when an emergency occurs, and reduces the harm to the human body.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the application and not to limit the invention.
FIG. 1 is a schematic structural diagram of an apparatus for monitoring a respiratory state of a human body based on an image according to an embodiment;
FIG. 2 is a schematic structural diagram of a respiration status detection module according to an embodiment;
fig. 3 is a schematic structural diagram of an image processing module according to a first embodiment.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
Example one
As background art says, the traditional respiratory state monitoring utilizes a respiratory controller to control the respiratory state of a human body, and real-time monitoring cannot be performed, so that a doctor needs to separate energy to monitor and judge the respiratory state of the human body, the requirements on the experience of the doctor are increased, and the workload of the doctor is also increased.
Therefore, the present embodiment provides an image-based human respiration status monitoring device. Fig. 1 is a schematic structural diagram of a human respiration status monitoring device based on images according to the present embodiment. As shown in fig. 1, the human respiration status monitoring device includes:
the breathing state detection module is used for detecting a light deviation image of the breathing state of the human body and transmitting the light deviation image to the image processing module;
and the image processing module is used for processing the light deviation image of the respiratory state of the human body, generating a respiratory signal waveform by adopting a mode-electricity conversion technology, comparing the generated respiratory signal waveform with a normal respiratory signal waveform, and triggering a warning lamp to give an alarm if the deviation exceeds a normal range.
Fig. 2 is a block diagram of a respiratory state detection module. Referring to fig. 2, the respiration status detection module includes a light emitter, a reflection plate located on the abdomen of the human body, a receiving plate, and a photosensor arranged on the receiving plate, the light emitter emits a focusable light harmless to the human body on the chest and abdomen of the human body, the light is reflected to the receiving plate by the reflection plate on the chest and abdomen of the human body, the receiving plate receives the light emitted and reflected by the light emitter on the chest and abdomen of the human body, and a light spot is formed on the surface of the light spot, a track signal of the light spot moving along with the respiration motion is an amplification of the movement signal of the chest and abdomen, and the photosensor collects a light shift image on the receiving plate in real time and transmits the light shift image to.
Fig. 3 is a schematic structural diagram of an image processing module. Referring to fig. 3, the image processing module includes an image acquisition card and an upper computer, the image acquisition card receives a light shift image analog signal acquired by the photosensitive image sensor, converts the light shift image analog signal into a digital signal, and transmits the digital signal to the upper computer, the upper computer receives the light shift image acquired by the photosensitive image sensor, processes and analyzes each frame of light shift image by using an image processing technology, automatically detects a light spot position, generates a respiratory signal waveform according to an acquired light spot position sequence, and automatically calculates a human respiratory frequency including a single respiratory thorax position and a single respiratory duration, predicts a future respiratory signal amplitude by using a respiratory signal amplitude value at a past moment, sets a respiratory amplitude early warning value and a respiratory cycle early warning value, and performs early warning when the single respiratory thorax position is lower than the set respiratory amplitude early warning value; when the length of a single breath is higher than a set breath cycle early warning value, early warning is carried out, otherwise, the breath state is judged to be normal.
In this embodiment, the image acquisition card adopts DH-CG400, the image acquisition Display format of the image acquisition card depends on the Display mode of the VGA Display card of the host, and the corresponding mode should be set by Display in Windows Setup before the image card is used.
In this embodiment, the upper computer uses an image processing technology to automatically detect and continuously track the light spot motion trajectory representing the human respiratory motion on the screen of the photosensitive sensor to indirectly acquire the respiratory state signal of the human body; and comparing the obtained breathing state signal of the human body with the set maximum value and the set minimum value, and triggering an alarm lamp to give an alarm if the breathing signal is lower than the minimum value or higher than the maximum value.
Example two
Fig. 2 is a flowchart of a method for monitoring a respiratory state of a human body based on an image according to the present embodiment. As shown in fig. 2, the method for monitoring the respiratory state of the human body based on the image comprises the following steps:
s101, detecting a light deviation image of the breathing state of the human body.
Specifically, a light emitter emits focusable light harmless to a human body on the chest and abdomen of the human body, the light is reflected to a receiving plate through a reflecting plate of the chest and abdomen of the human body, the receiving plate receives the light emitted and reflected by the light emitter on the chest and abdomen of the human body, a light spot is formed on the surface of the receiving plate, a track signal of the light spot moving along with respiratory motion is the amplification of a chest and abdomen motion signal, and a light displacement image on the receiving plate is collected in real time through a photosensitive image sensor.
S102, processing the light deviation image of the human breathing state, generating a breathing signal waveform by adopting a mode-electricity conversion technology, comparing the generated breathing signal waveform with a normal breathing signal waveform, and alarming if the deviation exceeds a normal range.
Specifically, an image acquisition card receives a light shift image analog signal acquired by a photosensitive image sensor, converts the light shift image analog signal into a digital signal and transmits the digital signal to an upper computer, the upper computer receives the light shift image acquired by the photosensitive image sensor, the image processing technology is adopted to process and analyze each frame of light shift image, the position of a light spot is automatically detected, a respiratory signal waveform is generated according to an acquired light spot position sequence, the respiratory frequency of a human body is automatically calculated and comprises a single respiratory chest position and a single respiratory duration, the respiratory signal amplitude value at the past moment is utilized to predict the future respiratory signal amplitude, a respiratory amplitude early warning value and a respiratory cycle early warning value are set, and when the single respiratory chest position is lower than the set respiratory amplitude early warning value, early warning is carried out; when the length of a single breath is higher than a set breath cycle early warning value, early warning is carried out, otherwise, the breath state is judged to be normal.
From the above description, it can be seen that the above-described embodiments achieve the following technical effects:
(1) the accurate respiratory state of the human body can be obtained, the defect of artificial respiratory state monitoring is overcome, the workload is reduced, and the accuracy of human respiratory state monitoring is improved;
(2) the system can give an alarm, prevents negligence of monitoring the real-time respiratory state of a human body caused by incomplete manual monitoring, enables a doctor to quickly respond when an emergency happens, and reduces injury to the human body.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.
Claims (6)
1. A human breathing state monitoring devices based on image, characterized by includes:
the breathing state detection module is used for detecting a light deviation image of the breathing state of the human body and transmitting the light deviation image to the image processing module;
and the image processing module is used for processing the light deviation image of the human body breathing state, generating a breathing signal waveform, calculating the human body breathing frequency, comparing the human body breathing frequency with a set threshold value, and alarming when the human body breathing frequency is abnormal.
2. The image-based human respiration status monitoring device according to claim 1, wherein the respiration status detecting module comprises a light emitter, a reflecting plate positioned on the abdomen of the human body, a receiving plate and a photosensitive image sensor arranged on the receiving plate;
the light emitter emits light to the reflecting plate, the light is reflected to the receiving plate through the reflecting plate, a light spot is formed on the surface of the receiving plate, offset signals of the light spot on the receiving plate moving along with breathing are collected in real time through the photosensitive sensor, and the offset signals are sent to the image processing module.
3. The image-based human body respiration state monitoring device according to claim 1, wherein the image processing module comprises an image acquisition card and an upper computer, the image acquisition card receives the light shift signal acquired by the photosensitive image sensor, converts the light shift signal into a digital signal, forms a light shift image, transmits the light shift image to the upper computer, the upper computer processes and analyzes each frame of received light shift image, detects the position of a light point, forms a light point position sequence, generates a respiration signal waveform according to the light point position sequence, calculates the human body respiration frequency, comprises a single respiration chest position and a single respiration duration, sets a respiration amplitude early warning value and a respiration period early warning value, and warns when the single respiration chest position is lower than the set respiration amplitude early warning value; when the length of a single breath is higher than a set breath cycle early warning value, early warning is carried out, otherwise, the breath state is judged to be normal.
4. A human body breathing state monitoring method based on images is characterized by comprising the following steps:
acquiring a light shift image of the respiratory state of a human body;
processing the light shift image of the human breathing state to generate a breathing signal waveform, calculating the human breathing frequency, comparing the human breathing frequency with a set threshold value, and alarming when the human breathing frequency is abnormal.
5. The image-based human respiration status monitoring method of claim 4, wherein the step of acquiring a light-shifted image of the human respiration status comprises:
the light emitter emits light to the reflecting plate positioned on the abdomen of a human body, the light is reflected to the receiving plate through the reflecting plate, a light spot is formed on the surface of the receiving plate, and the light spot on the receiving plate collects offset signals of the light spot moving along with respiration through the photosensitive sensor in real time.
6. The image-based human respiration status monitoring method of claim 4, wherein the step of processing the light-shifted image of the human respiration status comprises:
receiving the light deviation signal collected by the photosensitive image sensor through an image collection card, converting the light deviation signal into a digital signal, forming a light deviation image, and transmitting the light deviation image to an upper computer;
the upper computer processes and analyzes each frame of received light shift image, detects the position of a light spot to form a light spot position sequence, generates a respiratory signal waveform according to the light spot position sequence, calculates the respiratory frequency of a human body, comprises a single respiratory chest position and a single respiratory duration, sets a respiratory amplitude early warning value and a respiratory cycle early warning value, and carries out early warning when the single respiratory chest position is lower than the set respiratory amplitude early warning value; when the length of a single breath is higher than a set breath cycle early warning value, early warning is carried out, otherwise, the breath state is judged to be normal.
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|---|---|---|---|
| CN201911053630.4A CN110960218A (en) | 2019-10-31 | 2019-10-31 | Human body breathing state monitoring device and method based on images |
| LU101688A LU101688B1 (en) | 2019-10-31 | 2020-03-19 | Device and method monitoring human breathing state based on image |
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| CN201911053630.4A CN110960218A (en) | 2019-10-31 | 2019-10-31 | Human body breathing state monitoring device and method based on images |
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| CN117593308B (en) * | 2024-01-19 | 2024-04-26 | 科普云医疗软件(深圳)有限公司 | Respiration monitoring and early warning method for critically ill respiratory patient |
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