WO2021051324A1

WO2021051324A1 - Respiration identification method and apparatus, ventilation device, and storage medium

Info

Publication number: WO2021051324A1
Application number: PCT/CN2019/106522
Authority: WO
Inventors: 艾世明; 田朝阳
Original assignee: 深圳迈瑞生物医疗电子股份有限公司
Priority date: 2019-09-18
Filing date: 2019-09-18
Publication date: 2021-03-25
Also published as: CN114269238A

Abstract

A respiration identification method, comprising: using a respiration detection device to collect a respiration monitoring signal, and using a motion detection device to collect a motion signal (S401); processing the respiration monitoring signal according to the motion signal so as to obtain a respiration identification signal (S402); and identifying the respiration state of a patient according to the respiration identification signal (S403).

Description

Breath recognition method and device, ventilation equipment and storage medium

Technical field

The embodiment of the present invention relates to the technical field of medical devices, and in particular to a method and device for respiration recognition, ventilation equipment, and storage medium.

Background technique

In the process of medical intervention, it is often necessary to monitor the patient's breathing to identify the patient's breathing state, so as to make further targeted treatments.

In one technology, breathing monitoring methods mainly include: chest impedance method, thermal sensitivity method, abdominal breathing monitoring method of carbon dioxide detection, etc. However, these methods usually have the problem of poor resistance to exercise and easily interfere with the respiratory monitoring signal. The accuracy of the respiration state recognized based on the respiration monitoring signal is low.

Summary of the invention

In order to solve the above technical problems, the embodiments of the present invention expect to provide a breathing recognition method and device, a ventilation device, and a storage medium to monitor the patient's respiration and exercise at the same time, so as to determine the respiration recognition signal that is not disturbed by motion for respiration recognition , Improve the accuracy of breathing recognition.

The technical solutions of the embodiments of the present invention can be implemented as follows:

The embodiment of the present invention provides a breathing recognition device, which includes: a breathing detection device, a motion detection device, a processor respectively connected to the breathing detection device and the motion detection device, and a memory;

The respiration detection device collects respiration monitoring signals;

The motion detection device collects motion signals;

The processor is connected to the memory, and is configured to execute the breathing recognition program stored in the memory to implement the following steps:

The respiratory monitoring signal is processed according to the motion signal to obtain a respiratory identification signal; the respiratory state of the patient is identified according to the respiratory identification signal.

In the above respiration recognition device, the processor processes the respiration monitoring signal according to the motion signal, and the step of obtaining a respiration recognition signal includes:

Signal processing is performed on the respiration monitoring signal and the motion signal respectively to obtain a processed respiration monitoring signal and a processed motion signal;

Filter the processed respiration monitoring signal according to the processed motion signal to obtain the respiration identification signal.

In the above breathing recognition device, the breathing detection device includes an air bag, a pressure sensor, and a gas tube connected to the air bag and the pressure sensor.

In the above breathing recognition device, the motion detection device is any one of a pressure detection device, a liquid measurement device, and a motion capture camera device that can be placed in a configurable accessory, or can be attached to the patient's motion Any one of air pressure detection equipment, acceleration detection equipment, and gyroscope at the monitoring site.

In the above breathing recognition device, the configurable accessory is any one of a bed, a mattress, and a thermostat.

In the above-mentioned breathing recognition device, the pressure sensor is connected to the processor through a wire, so as to output the breathing monitoring signal obtained by the pressure sensor to the processor.

An embodiment of the present invention provides a ventilation device including the above-mentioned breathing recognition device, the ventilation device including a gas source interface, a breathing circuit, and a controller;

Provide gas during ventilation through the gas source interface;

The air source interface is connected to the breathing circuit and the controller, and provides ventilation support to the patient under the control of the controller;

The breathing recognition device is connected to the controller.

An embodiment of the present invention provides a medical device including the above-mentioned breathing recognition device, and the medical device further includes a breathing detection unit.

The embodiment of the present invention provides a breathing recognition method, the method includes:

Collect respiratory monitoring signals through respiration detection equipment, and collect motion signals through motion detection equipment;

Processing the respiration monitoring signal according to the motion signal to obtain a respiration recognition signal;

The breathing state of the patient is identified according to the breathing identification signal.

In the above breathing identification method, the processing the breathing monitoring signal according to the motion signal to obtain the breathing identification signal includes:

In the above breathing recognition method, the breathing detection device includes an airbag, a pressure sensor, and a gas tube connected to the airbag and the pressure sensor.

In the above breathing recognition method, the motion detection device is any one of a pressure detection device, a liquid measurement device, and a motion capture camera device that can be placed in a configurable accessory, or can be attached to the patient's motion Any one of air pressure detection equipment, acceleration detection equipment, and gyroscope at the monitoring site.

In the above breathing recognition method, the configurable accessory is any one of a bed, a mattress, and a thermostat.

The embodiment of the present invention provides a computer-readable storage medium, the computer-readable storage medium stores a breath recognition program, and the breath recognition program can be executed by a processor to realize the above-mentioned breath recognition method.

The breathing recognition scheme provided by the embodiments of the present invention can reduce the impact of patient movement on breathing monitoring and improve the accuracy of breathing recognition. Especially for neonatal patients, it can greatly reduce the interference caused by exercise on breathing recognition.

Description of the drawings

FIG. 1 is a schematic structural diagram of a breathing recognition device provided by an embodiment of the present invention;

2 is a schematic diagram of an exemplary multi-lumen tube structure provided by an embodiment of the present invention;

Figure 3 (a) is a schematic diagram 1 of an exemplary attachment of a breathing detection device and a motion detection device provided by an embodiment of the present invention;

Figure 3(b) is a second schematic diagram of attachment of an exemplary breathing detection device and motion detection device provided by an embodiment of the present invention;

4 is a schematic flowchart of a breathing recognition method provided by an embodiment of the present invention;

Fig. 5 is a schematic structural diagram of a ventilation device provided by an embodiment of the present invention.

detailed description

In order to understand the features and technical content of the embodiments of the present invention in more detail, the implementation of the embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The accompanying drawings are for reference and explanation purposes only, and are not used to limit the embodiments of the present invention.

The embodiment of the present invention provides a respiration recognition method, which is implemented by a respiration recognition device. Fig. 1 is a schematic structural diagram of a breathing recognition device provided by an embodiment of the present invention. As shown in FIG. 1, the breathing recognition device mainly includes a breathing detection device 101, a motion detection device 102, a processor 103 connected to the breathing detection device 101 and the motion detection device 102 respectively, and a memory 104. The memory 104 is connected to the processor 103.

It should be noted that, in the embodiment of the present invention, the breathing detection device 101 may specifically include an air bag, a pressure sensor, and a gas tube connected to the air bag and the pressure sensor. Since the patient's abdominal movement occurs when breathing, the airbag can be attached to the patient's abdomen, so that the pressure sensor can be used to detect the pressure change of the airbag when the patient breathes to obtain a breathing detection signal. Of course, the breathing detection device 101 may also be other devices that can be used to detect signals related to the patient's breathing state. The specific breathing detection device 101 is not limited in the embodiment of the present invention.

It should be noted that, in the embodiment of the present invention, the motion detection device 102 is used to collect patient-related motion signals. The motion detection device 102 is any one of a pressure detection device, a liquid measurement device, and a motion capture and imaging device that can be placed in a configurable accessory, or, an air pressure detection device, an acceleration device that can be attached to the patient's motion monitoring part Any one of detection equipment and gyroscope. Wherein, the air pressure detection device may actually be the same as the above-mentioned breathing detection device 101, and also obtain the patient's motion signal based on the measured airbag air pressure change. The only difference is that it needs to be placed at a position where the airbag pressure changes due to patient movement. Of course, the motion detection device 102 may also be other devices capable of detecting patient motion signals. The specific motion detection device 102 is not limited in the embodiment of the present invention.

It should be noted that, in the embodiment of the present invention, the configurable accessory is any one of a bed, a mattress, and a thermostat. Configurable accessories are used to place equipment such as pressure detection equipment, liquid measurement equipment, and motion capture and camera equipment. When the patient uses the configurable accessory, for example, when the patient is lying on the bed, the patient's movement state can be detected by the pressure detection device inside the bed.

It can be understood that, in the embodiment of the present invention, for different types of patients, a suitable motion detection device 102 can be selected according to the actual situation to collect motion signals. For example, for neonatal patients, because they are usually in the incubator all the time, a specific motion detection device 102 such as a motion capture camera device can be configured in the incubator used by the newborn to collect the newborn's breathing monitoring in real time. signal.

Exemplarily, in the embodiment of the present invention, a liquid measuring device may be added to the mattress used by the patient, and the specific liquid measuring device is a liquid cushion. When the patient is lying on the bed, through the flow of liquid in the liquid cushion, it can be detected whether the patient is in motion. In addition, a motion capture camera device can also be configured on the mattress to detect changes in the thickness of the mattress through the motion capture camera device. The patient's movement state can be further detected according to the changes in the thickness of the mattress.

It is understandable that in the embodiment of the present invention, as shown in FIG. 2, the respiration detection device 101 and the motion detection device 102 can be designed as a multi-lumen tube structure, with one cavity for air and one for electrical signals. In addition, if both the breathing detection device 101 and the motion detection device 102 are devices that output electrical signals, the two devices can also be designed as a cavity structure. In addition, the wire of the motion detection device 102 can also be arranged on the air cavity wall of the respiration detection device 101, and the specific connection form is not limited in the embodiment of the present invention.

It should be noted that, in the embodiment of the present invention, the pressure sensor of the respiration detection device 101 is connected to the processor 103 through a wire, so as to output the respiration monitoring signal obtained by the pressure sensor to the processor 103. Similarly, the motion detection device 102 is connected to the processor 103 through a wire, so as to output the motion signal obtained by the motion detection device 102 to the processor 103.

In the embodiment of the present invention, after the processor 103 receives the respiration monitoring signal provided by the respiration detection device 101 and the motion signal provided by the motion detection device 102, it can process the respiration monitoring signal according to the motion signal to obtain respiration recognition. signal.

Specifically, in the embodiment of the present invention, the processor 103 respectively performs signal processing on the respiratory monitoring signal provided by the respiratory detection device 101 and the motion signal provided by the motion detection device 102 to obtain the processed respiratory monitoring signal and the processed respiratory signal. Motion signal. The processor 103 screens the processed respiration monitoring signal according to the processed motion signal to obtain a respiration identification signal.

It should be noted that, in the embodiment of the present invention, the respiratory monitoring signal and the motion signal are usually analog signals, and the processor 103 can perform signal conditioning such as amplitude adjustment and filtering for the respiratory monitoring signal and motion signal, or perform analog signal conditioning. Digital conversion processing can also convert respiration monitoring signals and motion signals into digital communication signals. The processor 103 performs signal processing on the respiratory monitoring signal and the motion signal, which can filter out interference such as noise, which is beneficial to subsequent signal analysis. Of course, in specific implementation, the processor 103 may also include a processing module to implement the above-mentioned processing of the respiratory monitoring signal and the motion signal. The specific signal processing manner is not limited in the embodiment of the present invention.

It is understandable that there are some abnormal signals that are disturbed by the movement of the patient in the processed respiratory monitoring signals. If the processor 103 directly uses the processed respiratory monitoring signal to identify the patient's respiratory state, that is, the processed respiratory monitoring signal is interfered by the patient's motion and characterizes the abnormal signal also participates in the respiratory state recognition process, which will result in the recognized respiratory state Inaccurate, even misidentification. In the embodiment of the present invention, after the processor 103 obtains the processed respiration monitoring signal and the processed motion signal, it may select a signal that characterizes normal from the processed respiration monitoring signal according to the processed motion signal. It is a respiration recognition signal, so that the respiration recognition signal can be used to accurately identify the breathing state of the patient.

In the embodiment of the present invention, after the processor 103 obtains the respiration recognition signal, it can recognize the breathing state of the patient according to the respiration recognition signal. The processor 103 can determine the breathing frequency of the patient according to the breathing recognition signal, can also recognize whether the patient is in an apnea state according to the breathing recognition signal, and can also recognize whether the patient is in an exhalation state or an inhalation state according to the breathing recognition signal.

It should be noted that, in the embodiment of the present invention, the processor 103 may actually include two independent processors, one of which is placed in the sensor transfer box, and monitors the collected respiratory signals and motions. The signal is preprocessed, and the other processor is used for respiration recognition processing to obtain the patient’s breathing state. For medical equipment that includes a breathing recognition device, the processor for respiration recognition processing can be integrated with the processor of the medical equipment. Here, the medical equipment can be an anesthesia machine, a ventilator, a patient monitor, and other equipment that has a breathing detection function and provides medical services to patients.

It should be noted that, in the embodiment of the present invention, the sensor adapter box can supply power to the breathing detection device 101 and/or the motion detection device 102, and its built-in processor can perform some signal processing on the signals collected by the detection device. For example, the above-mentioned signal processing and analog-to-digital conversion. The built-in processor of the ventilator uses the signal after signal processing to perform breathing recognition processing.

It should be noted that, in the embodiment of the present invention, the ventilation device may be a ventilator, an anesthesia machine, or other medical devices with ventilation function. In addition, the ventilation mode of the ventilation device can be any one of invasive ventilation, non-invasive ventilation, oxygen therapy, and oxygen inhalation through a nasal catheter. The specific ventilation device and the ventilation mode of the ventilation device are not limited in the embodiment of the present invention.

It should be noted that, in the embodiment of the present invention, the processor 103 can be divided into two independent processors for configuration as described above. Of course, it can also be an integrated processor that can simultaneously realize signal processing and breath recognition. Built into the ventilation device. The breathing detection device 101 and/or the motion detection device 102 may be directly connected to the processor 103 through a wire, which is not limited in the embodiment of the present invention.

Fig. 3(a) is a first schematic diagram of attaching an exemplary breathing detection device and a motion detection device provided by an embodiment of the present invention. As shown in Fig. 3(a), the motion detection device 102 such as an acceleration sensor or a gyroscope can be directly attached to the patient's body with the breathing detection device 101. Figure 3(b) is a second schematic diagram of attaching an exemplary breathing detection device and motion detection device provided by an embodiment of the present invention. As shown in FIG. 3(b), the motion detection device 102 such as a pressure detection device or a liquid measurement device can be set on a bed, and the breathing detection device 101 is attached to the patient. In addition, as shown in Figures 3(a) and 3(b), the breathing detection device 101 and the motion detection device 102 can be connected to the sensor transfer box through wires, so that the signals obtained by each can be processed by the built-in signal of the sensor transfer box After signal processing, it is transmitted to the built-in processor of the ventilation device for subsequent respiration recognition processing. Among them, the built-in processor of the sensor transfer box and the built-in processor of the ventilation device actually correspond to the processor 103 of the present invention.

Further, in an embodiment, the processor 103 stores the obtained breathing identification signal and/or the identified breathing state of the patient in the memory 104. When medical personnel perform medical diagnosis on a patient or determine a medical plan, they can view the historical respiration data stored in the memory 104, that is, the respiration identification signal and/or the respiration state of the patient, as auxiliary reference information.

The breathing monitoring device provided in this embodiment assists in recognizing respiration by detecting the movement of the patient, which can improve the accuracy of respiration recognition. Especially for neonatal patients, because the patients themselves are mobile and uncontrolled, and doctors cannot stay by the patient's bed at all times, the significance of improving the accuracy of breathing recognition is even more significant. Further, only if the accuracy of breathing recognition is ensured, the patient's historical breathing information provided by the medical device has clinical use value.

It should be noted that, in the embodiment of the present invention, the processor 103 may be an application specific integrated circuit (ASIC), a digital signal processor (Digital Signal Processor, DSP), or a digital signal processing device (Digital Signal Processor). Processing Device, DSPD), Programmable Logic Device (PLD), Field Programmable Gate Array (Field Programmable Gate Array, FPGA), Central Processing Unit (CPU), Controller, Microcontroller, At least one of the microprocessors is not limited in the embodiment of the present invention.

It should be noted that, in the embodiment of the present invention, the memory 104 may be a volatile memory (volatile memory), such as a random access memory (Random Access Memory, RAM); or a non-volatile memory (non-volatile memory). ), such as read only memory (Read Only Memory, ROM), flash memory (flash memory), hard disk (Hard Disk Drive, HDD) or solid-state drive (Solid-State Drive, SSD); or a combination of the above types of memory, The processor 103 is also provided with a stored breathing recognition program, which is not limited in the embodiment of the present invention.

The following describes in detail the breathing recognition method provided by the embodiment of the present invention based on the above-mentioned breathing recognition device.

FIG. 4 is a schematic flowchart of a breathing recognition method provided by an embodiment of the present invention. As shown in Figure 4, the breathing recognition method includes the following steps:

S401. Collect a respiration monitoring signal through a respiration detection device, and collect a motion signal through the motion detection device.

In the embodiment of the present invention, the respiration recognition device may first collect the respiration monitoring signal through the respiration detection device 101, and collect the motion signal through the motion detection device 102.

It should be noted that, in the embodiment of the present invention, the respiratory detection device 101 and the motion detection device 102 can continuously collect the corresponding respiratory monitoring signal and motion signal for the patient in real time. Of course, they can also be based on a certain period or within a certain period of time. Perform signal acquisition. The specific breathing monitoring signal and motion signal are not limited in the embodiment of the present invention.

It is understandable that in the embodiment of the present invention, the respiratory monitoring signal is actually a related signal that can characterize the patient's respiratory state. However, due to the interference of interference factors, the respiratory monitoring signal is actually mixed with some interference signals. Affect the accuracy of recognizing the patient's breathing state. Therefore, the breathing recognition device collects the patient's corresponding motion signal through the motion detection device 102 at the same time, so as to identify the patient's breathing state together with the breathing monitoring signal in the subsequent recognition process.

S402: Process the respiration monitoring signal according to the motion signal to obtain a respiration recognition signal.

In the embodiment of the present invention, after the breathing recognition device collects the breathing monitoring signal through the breathing detection device 101 and the motion signal through the motion detection device 102, the processor 103 can process the breathing monitoring signal according to the motion signal to obtain Respiration recognition signal used to recognize the breathing state of the patient.

Specifically, in the embodiment of the present invention, the processor 103 processes the respiration monitoring signal according to the motion signal to obtain the respiration identification signal, including: separately performing signal processing on the respiration monitoring signal and the motion signal to obtain the processed respiration monitoring signal And the processed respiratory motion signal; the processed respiratory monitoring signal is screened according to the processed motion signal to obtain the respiratory identification signal.

It should be noted that, in the embodiment of the present invention, the breathing monitoring signal collected by the breathing detection device 101 and the motion signal collected by the motion detection device 102 are usually analog signals. The processor 103 may perform signal processing on the respiratory monitoring signal and motion signal distribution, such as signal conditioning and analog-to-digital conversion. Specific signal conditioning includes, but is not limited to, amplitude adjustment and filtering. The specific signal processing manner is not limited in the embodiment of the present invention.

Specifically, in the embodiment of the present invention, the processor 103 screens the processed respiration monitoring signal according to the processed motion signal to obtain the respiration recognition signal, including: monitoring the processed respiration according to the processed motion signal Among the signals, the normal signal is used as the respiration recognition signal.

It should be noted that, in the embodiment of the present invention, the processor 103 may use some signal recognition algorithms to identify a normal signal from the processed respiration monitoring signal according to the processed motion signal, as a respiration recognition signal . Specifically, the processor 103 may first filter out signals that characterize abnormalities from the processed respiration monitoring signals according to the processed motion signals, and then use the remaining signals as respiration recognition signals.

It is understandable that, in the embodiment of the present invention, the patient moves during breathing, which will affect the respiratory monitoring signal accordingly. Therefore, the processor 103 can perform the processed motion signal according to the processed motion signal generated by the motion. Respiration monitoring signals can be used to screen undisturbed respiration recognition signals that can be used to identify the patient’s respiration status.

Exemplarily, in the embodiment of the present invention, the processor 103 obtains the processed breathing monitoring signal from the time T1 to the time T2. Correspondingly, the processor 103 can filter the respiratory monitoring signal according to the motion signal from time T1 to time T2. If at a certain time between time T1 and time T2, the strength of the exercise signal is relatively high, the processor 103 will screen out the respiration monitoring signal processed at this time, and the remaining signals are normal signals, which are regarded as respiration Identify the signal.

S403: Identify the breathing state of the patient according to the breathing identification signal.

In the embodiment of the present invention, the processor 103 of the breathing identification device can identify the breathing state of the patient according to the breathing identification signal after obtaining the breathing identification signal.

It can be understood that, in the embodiment of the present invention, the respiration identification signal is based on the processed motion signal, a signal that is not interfered by motion is selected from the processed respiration monitoring signal. The processor 103 can accurately identify the breathing state of the patient according to the breathing identification signal.

It should be noted that, in the embodiment of the present invention, the processor 103 can identify the breathing state of the patient according to the breathing recognition signal. Specifically, it can determine the breathing frequency of the patient according to the breathing identification signal, or it can identify whether the patient is based on the breathing identification signal. The presence of an apnea state can also be used to identify whether the patient is in an exhalation state or an inhalation state according to the breathing recognition signal.

It should be noted that, in the embodiment of the present invention, the processor 103 may identify the breathing state of the patient according to the breathing identification signal according to a preset determination rule. The specific determination rule is not limited in the embodiment of the present invention.

Specifically, in the embodiment of the present invention, the breathing recognition signal can be obtained by the air pressure value of the airbag attached to the patient. If the air pressure value gradually increases, the processor 103 recognizes that the patient's breathing state is an inhalation state. Correspondingly, if the air pressure value gradually decreases, the processor 103 recognizes that the patient's breathing state is the exhalation state. In addition, the processor 103 may also perform ventilation control after recognizing the breathing state of the patient, that is, switch the ventilation state. Specifically, the processor 103 may control the ventilation device to switch from the inhalation mode to the exhalation mode after recognizing that the patient is in the inhalation state for a preset period of time, or, after recognizing that the patient is in the exhalation state for the preset period of time, Control the ventilation device to switch from the exhalation mode to the inhalation mode to meet the patient's ventilation needs.

Specifically, in the embodiment of the present invention, the processor 103 may obtain the patient's breathing identification signal within a period of time, and thereby calculate the patient's breathing frequency based on it. In addition, the processor 103 may also output alarm prompt information or ventilation parameter adjustment information when the breathing frequency exceeds the preset normal frequency range. When the medical staff sees the alarm information, they can take corresponding medical measures to the patient in time, or adjust the ventilation parameters of the ventilation equipment to meet the ventilation needs of the patient. Of course, for the case where the ventilation device is connected to the breathing recognition device, or the ventilation device includes the breathing recognition device, after receiving the ventilation parameter adjustment information output by the breathing recognition device, the ventilation device can automatically adjust the ventilation according to the received ventilation parameter adjustment information Parameters to improve the safety of ventilation equipment and reduce the workload of medical staff.

Specifically, in the embodiment of the present invention, if the breathing recognition signal remains unchanged for a period of time, the processor 103 may determine that the patient is in an apnea state. Apnea often brings a lot of unpredictable harm to the patient. Therefore, when the processor 103 recognizes that the patient is in an apnea state, it can promptly output alarm prompt information or ventilation parameter adjustment information to remind medical staff to perform corresponding medical treatment. Measures, or automatically adjust the ventilation parameters through the ventilation equipment to improve the safety of the ventilation equipment and reduce the workload of the medical staff.

It should be noted that, in the embodiment of the present invention, after the processor 103 recognizes the breathing state of the patient, it may also be stored in the memory 104. In addition, the processor 103 may also store the breath recognition signal in the memory 104 after obtaining the breath recognition signal. When medical personnel perform medical diagnosis on a patient or determine a medical plan, they can view the historical respiration data stored in the memory 104, that is, the respiration identification signal and/or the respiration state of the patient, as auxiliary reference information.

The embodiment of the present invention provides a method for respiration recognition. Respiration monitoring signals are collected by a respiration detection device, and motion signals are collected by a motion detection device; the respiration monitoring signals are processed according to the motion signals to obtain a respiration recognition signal; and recognition is based on the respiration recognition signal The patient's breathing state. The technical solution provided by the embodiment of the present invention monitors the patient's breathing and motion at the same time, thereby determining the breathing recognition signal that is not disturbed by the motion to perform the breathing recognition, thereby improving the accuracy of the breathing recognition.

An embodiment of the present invention provides a breathing recognition device. As shown in FIG. 1, the breathing recognition device includes: a breathing detection device 101, a motion detection device 102, and a processor 103 connected to the breathing detection device 101 and the motion detection device 102, respectively, And memory 104;

Respiration detection equipment 101, which collects respiration monitoring signals;

The motion detection device 102 collects motion signals;

The processor 103 is connected to the memory 104, and is configured to execute the breathing recognition program stored in the memory 104 to implement the following steps:

The respiratory monitoring signal is processed according to the motion signal to obtain the respiratory identification signal; the respiratory state of the patient is identified according to the respiratory identification signal.

Optionally, the processor 103 processes the respiration monitoring signal according to the motion signal, and the step of obtaining the respiration recognition signal includes:

Respectively perform signal processing on the respiratory monitoring signal and the motion signal to obtain the processed respiratory monitoring signal and the processed motion signal;

According to the processed motion signal, the processed respiration monitoring signal is screened to obtain the respiration recognition signal.

Optionally, the breathing detection device 101 includes an air bag, a pressure sensor, and a gas tube connected to the air bag and the pressure sensor.

Optionally, the motion detection device 102 is any one of a pressure detection device, a liquid measurement device, and a motion capture camera device that can be placed in a configurable accessory, or can be attached to the air pressure of the patient's motion monitoring site Any one of detection equipment, acceleration detection equipment, and gyroscope.

Optionally, the configurable accessory is any one of a bed, a mattress, and a thermostat.

Optionally, the pressure sensor is connected to the processor through a wire to output the breathing monitoring signal obtained by the pressure sensor to the processor 103.

The embodiment of the present invention provides a breathing recognition device, which collects a breathing monitoring signal through a breathing detection device, and collects a motion signal through a motion detection device; processes the breathing monitoring signal according to the motion signal to obtain a breathing recognition signal; recognizes according to the breathing recognition signal The patient's breathing state. The breathing recognition device provided by the embodiment of the present invention monitors the patient's breathing and motion at the same time, thereby determining a breathing recognition signal that is not disturbed by motion to perform breathing recognition, which improves the accuracy of breathing recognition.

The embodiment of the present invention also provides a ventilation device including the above-mentioned breathing recognition device. Fig. 5 is a schematic structural diagram of a ventilation device provided by an embodiment of the present invention. As shown in FIG. 5, the ventilation equipment not only includes a breathing recognition device 501, but also includes an air source interface 502, a breathing circuit 503, and a controller 504;

The gas source interface 502 is connected to an external gas source, and the gas source interface 502 provides gas during ventilation;

The air source interface 502 is connected to the breathing circuit 503 and the controller 504, and provides ventilation support to the patient under the control of the controller 504;

The breathing recognition device 501 is connected to the controller 504.

The embodiment of the present invention also provides a medical device including the above-mentioned breathing recognition device. The medical device includes a breathing detection unit, and the medical device may be a patient monitor or the like.

The embodiment of the present disclosure also provides a computer-readable storage medium, and the computer-readable storage medium stores a breathing recognition program, which can be executed by a processor to realize the above-mentioned breathing recognition method. The computer-readable storage medium may be a volatile memory (volatile memory), such as random-access memory (Random-Access Memory, RAM); or a non-volatile memory (non-volatile memory), such as read-only memory (Read Only Memory). -Only Memory, ROM), flash memory, Hard Disk Drive (HDD) or Solid-State Drive (SSD); it can also be a variety of devices including one or any combination of the above-mentioned memories , Such as mobile phones, computers, tablet devices, personal digital assistants, etc.

Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention may adopt the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may be in the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, optical storage, etc.) containing computer-usable program codes.

The present invention is described with reference to flowcharts and/or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and/or block in the flowchart and/or block diagram, and the combination of processes and/or blocks in the flowchart and/or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable signal processing equipment to generate a machine, so that the instructions executed by the processor of the computer or other programmable signal processing equipment are generated It is a device that realizes the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.

These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable signal processing equipment to work in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including the instruction device. The device implements the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.

These computer program instructions can also be loaded on a computer or other programmable signal processing equipment, so that a series of operation steps are executed on the computer or other programmable equipment to produce computer-implemented processing, so as to execute on the computer or other programmable equipment. The instructions provide steps for implementing the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.

The above are only preferred embodiments of the present invention, and are not used to limit the protection scope of the present invention.

Industrial applicability

In the technical solution of the embodiment of the present invention, the respiratory monitoring signal is collected by the respiratory detection device, and the motion signal is collected by the motion detection device; the respiratory monitoring signal is processed according to the motion signal to obtain the respiratory identification signal; the patient’s condition is identified according to the respiratory identification signal Breathing state. The technical solution provided by the embodiment of the present invention monitors the patient's breathing and motion at the same time, thereby determining the breathing recognition signal that is not disturbed by the motion to perform the breathing recognition, thereby improving the accuracy of the breathing recognition.

Claims

A breathing recognition device, characterized in that the device comprises: a breathing detection device, a motion detection device, a processor respectively connected to the breathing detection device and the motion detection device, and a memory;

The respiration detection device collects respiration monitoring signals;

The motion detection device collects motion signals;

The processor is connected to the memory, and is used to execute the breathing recognition program stored in the memory to implement the following steps:

The respiratory monitoring signal is processed according to the motion signal to obtain a respiratory identification signal; the respiratory state of the patient is identified according to the respiratory identification signal.
The device according to claim 1, wherein the processor processes the respiration monitoring signal according to the motion signal, and the step of obtaining a respiration recognition signal comprises:

Signal processing is performed on the respiration monitoring signal and the motion signal respectively to obtain a processed respiration monitoring signal and a processed motion signal;

Filter the processed respiration monitoring signal according to the processed motion signal to obtain the respiration identification signal.
The device according to claim 1, wherein the breathing detection device comprises an air bag, a pressure sensor, and a gas tube connected to the air bag and the pressure sensor.
The apparatus according to claim 1, wherein the motion detection device is any one of a pressure detection device, a liquid measurement device, and a motion capture camera device that can be placed in a configurable accessory, or Any one of air pressure detection equipment, acceleration detection equipment, and gyroscope attached to the patient's motion monitoring part.
The device according to claim 4, wherein the configurable accessory is any one of a bed, a mattress, and a thermostat.
The device of claim 3, wherein:

The pressure sensor is connected to the processor through a wire, so as to output the breathing monitoring signal obtained by the pressure sensor to the processor.
A ventilation device comprising the breathing recognition device according to any one of claims 1-6, the ventilation device comprising a gas source interface, a breathing circuit and a controller;

Provide gas during ventilation through the gas source interface;

The air source interface is connected to the breathing circuit and the controller, and provides ventilation support to the patient under the control of the controller;

The breathing recognition device is connected to the controller.
A medical equipment comprising the breathing recognition device according to any one of claims 1 to 6, characterized in that the medical equipment comprises a breathing detection unit.
A breathing recognition method, characterized in that the method includes:

Collect respiratory monitoring signals through respiration detection equipment, and collect motion signals through motion detection equipment;

Processing the respiration monitoring signal according to the motion signal to obtain a respiration recognition signal;

The breathing state of the patient is identified according to the breathing identification signal.
The method according to claim 9, wherein the processing the respiration monitoring signal according to the motion signal to obtain a respiration recognition signal comprises:

Signal processing is performed on the respiration monitoring signal and the motion signal respectively to obtain a processed respiration monitoring signal and a processed motion signal;

Filter the processed respiration monitoring signal according to the processed motion signal to obtain the respiration identification signal.
The method of claim 9, wherein:

The breathing detection device includes an air bag, a pressure sensor, and a gas tube connected to the air bag and the pressure sensor.
The method according to claim 10, wherein the motion detection device is any one of a pressure detection device, a liquid measurement device, and a motion capture camera device that can be placed in a configurable accessory, or Any one of air pressure detection equipment, acceleration detection equipment, and gyroscope attached to the patient's motion monitoring part.
The method according to claim 12, wherein the configurable accessory is any one of a bed, a mattress, and a thermostat.
A computer-readable storage medium, wherein the computer-readable storage medium stores a breathing recognition program, and the breathing recognition program can be executed by a processor to realize the breathing according to any one of claims 9-13. recognition methods.