WO2021051324A1 - 一种呼吸识别方法及装置、通气设备、存储介质 - Google Patents
一种呼吸识别方法及装置、通气设备、存储介质 Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
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- 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.
- breathing monitoring methods mainly include: chest impedance method, thermal sensitivity method, abdominal breathing monitoring method of carbon dioxide detection, etc.
- 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.
- 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 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.
- 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;
- 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 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.
- the configurable accessory is any one of a bed, a mattress, and a thermostat.
- 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;
- 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:
- the breathing state of the patient is identified according to the breathing identification signal.
- the processing the breathing monitoring signal according to the motion signal to obtain the breathing identification 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;
- the breathing detection device includes an airbag, a pressure sensor, and a gas tube connected to the airbag and the pressure sensor.
- 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.
- 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.
- FIG. 1 is a schematic structural diagram of a breathing recognition device provided by an embodiment of the present invention
- FIG. 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
- FIG. 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.
- Fig. 1 is a schematic structural diagram of a breathing recognition device provided by an embodiment of the present invention.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- equipment such as pressure detection equipment, liquid measurement equipment, and motion capture and camera equipment.
- a suitable motion detection device 102 can be selected according to the actual situation to collect motion signals.
- 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.
- a liquid measuring device may be added to the mattress used by the patient, and the specific liquid measuring device is a liquid cushion.
- the specific liquid measuring device is a liquid cushion.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- the processor 103 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.
- 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.
- the respiratory monitoring signal and the motion signal are usually analog signals
- 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.
- 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.
- 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.
- the processor 103 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.
- the processor 103 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.
- 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.
- the processor for respiration recognition processing can be integrated with the processor of the medical equipment.
- 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.
- 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.
- the ventilation device may be a ventilator, an anesthesia machine, or other medical devices with ventilation function.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- the processor 103 stores the obtained breathing identification signal and/or the identified breathing state of the patient in the memory 104.
- 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.
- 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.
- 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,
- volatile memory such as a random access memory (Random Access Memory, RAM); or a non-volatile memory (non-volatile memory).
- ROM read only memory
- flash memory flash memory
- HDD Hard Disk Drive
- SSD solid-state drive
- the processor 103 is also provided with a stored breathing recognition program, which is not limited in the embodiment of the present invention.
- 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.
- 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.
- 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.
- the respiratory monitoring signal is actually a related signal that can characterize the patient's respiratory state.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- the processor 103 obtains the processed breathing monitoring signal from the time T1 to the time T2.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- the processor 103 may also output alarm prompt information or ventilation parameter adjustment information when the breathing frequency exceeds the preset normal frequency range.
- 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.
- the ventilation 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.
- 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.
- the processor 103 may also be stored in the memory 104.
- the processor 103 may also store the breath recognition signal in the memory 104 after obtaining the breath recognition signal.
- 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.
- 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.
- the processor 103 processes the respiration monitoring signal according to the motion signal, and the step of obtaining the respiration recognition signal includes:
- the processed respiration monitoring signal is screened to obtain the respiration recognition signal.
- 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.
- 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.
- the configurable accessory is any one of a bed, a mattress, and a thermostat.
- 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.
- 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.
- 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 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.
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Abstract
一种呼吸识别方法,通过呼吸检测设备采集呼吸监测信号,并通过运动检测设备采集运动信号(S401);根据运动信号对呼吸监测信号进行处理,获得呼吸识别信号(S402);根据呼吸识别信号识别患者的呼吸状态(S403)。
Description
本发明实施例涉及医疗器械技术领域,尤其涉及一种呼吸识别方法及装置、通气设备、存储介质。
在医疗干预过程中,经常需要对患者的呼吸进行监测,以识别患者的呼吸状态,从而做出进一步的针对性医治。
在一种技术中,呼吸监测方法主要包括:胸阻抗法、热敏法、二氧化碳检测法腹部呼吸监测法等,然而,这些方法通常存在抗运动性差的问题,容易对呼吸监测信号产生干扰,从而根据呼吸监测信号识别出的呼吸状态的准确性较低。
发明内容
为解决上述技术问题,本发明实施例期望提供一种呼吸识别方法及装置、通气设备、存储介质,对患者同时进行呼吸和运动监测,从而确定出未受到运动干扰的呼吸识别信号以进行呼吸识别,提高了呼吸识别的准确性。
本发明实施例的技术方案可以如下实现:
本发明实施例提供了一种呼吸识别装置,所述装置包括:呼吸检测设备、运动检测设备、分别与所述呼吸检测设备和所述运动检测设备连接的处理器,以及存储器;
所述呼吸检测设备,采集呼吸监测信号;
所述运动检测设备,采集运动信号;
所述处理器与所述存储器连接,用于执行所述存储器中存储的呼吸 识别程序,以实现以下步骤:
根据所述运动信号对所述呼吸监测信号进行处理,获得呼吸识别信号;根据所述呼吸识别信号识别患者的呼吸状态。
在上述呼吸识别装置中,所述处理器根据所述运动信号对所述呼吸监测信号进行处理,获得呼吸识别信号的步骤包括:
分别对所述呼吸监测信号和所述运动信号进行信号处理,获得处理后的呼吸监测信号和处理后的运动信号;
根据所述处理后的运动信号对所述处理后的呼吸监测信号进行筛选,获得所述呼吸识别信号。
在上述呼吸识别装置中,所述呼吸检测设备包括气囊、压力传感器,以及与所述气囊和所述压力传感器连接的气体导管。
在上述呼吸识别装置中,所述运动检测设备为可置于可配置附件中的压力检测设备、液体测量设备,以及运动抓取摄像设备中的任意一种,或者,可贴附在患者的运动监测部位的气压检测设备、加速度检测设备,以及陀螺仪中的任意一种。
在上述呼吸识别装置中,所述可配置附件为床、床垫、温箱中的任意一种。
在上述呼吸识别装置中,所述压力传感器通过导线与所述处理器连接,以将所述压力传感器获得的所述呼吸监测信号输出至所述处理器。
本发明实施例提供了一种包含上述呼吸识别装置的通气设备,所述通气设备包括气源接口、呼吸回路和控制器;
通过所述气源接口,在通气过程中提供气体;
所述气源接口与所述呼吸回路和所述控制器连接,在所述控制器的控制下向患者提供通气支持;
所述呼吸识别装置与所述控制器连接。
本发明实施例提供了一种包含上述呼吸识别装置的医疗设备,所述医 疗设备还包括呼吸检测单元。
本发明实施例提供了一种呼吸识别方法,所述方法包括:
通过呼吸检测设备采集呼吸监测信号,并通过运动检测设备采集运动信号;
根据所述运动信号对所述呼吸监测信号进行处理,获得呼吸识别信号;
根据所述呼吸识别信号识别患者的呼吸状态。
在上述呼吸识别方法中,所述根据所述运动信号对所述呼吸监测信号进行处理,获得呼吸识别信号,包括:
分别对所述呼吸监测信号和所述运动信号进行信号处理,获得处理后的呼吸监测信号和处理后的运动信号;
根据所述处理后的运动信号对所述处理后的呼吸监测信号进行筛选,获得所述呼吸识别信号。
在上述呼吸识别方法中,所述呼吸检测设备包括气囊、压力传感器,以及与所述气囊和所述压力传感器连接的气体导管。
在上述呼吸识别方法中,所述运动检测设备为可置于可配置附件中的压力检测设备、液体测量设备,以及运动抓取摄像设备中的任意一种,或者,可贴附在患者的运动监测部位的气压检测设备、加速度检测设备,以及陀螺仪中的任意一种。
在上述呼吸识别方法中,所述可配置附件为床、床垫、温箱中的任意一种。
本发明实施例提供了一种计算机可读存储介质,所述计算机可读存储介质存储有呼吸识别程序,所述呼吸识别程序可以被处理器执行,以实现上述呼吸识别方法。
本发明实施例提供的呼吸识别方案,能降低患者运动对呼吸监测产生的影响,提高了呼吸识别的准确性,特别对于新生儿患者,能大大降低由于运动对呼吸识别造成的干扰。
图1为本发明实施例提供的一种呼吸识别装置的结构示意图;
图2为本发明实施例提供的一种示例性的多腔管结构示意图;
图3(a)为本发明实施例提供的一种示例性的呼吸检测设备和运动检测设备的贴附示意图一;
图3(b)为本发明实施例提供的一种示例性的呼吸检测设备和运动检测设备的贴附示意图二;
图4为本发明实施例提供的一种呼吸识别方法的流程示意图;
图5为本发明实施例提供的一种通气设备的结构示意图。
为了能够更加详尽地了解本发明实施例的特点与技术内容,下面结合附图对本发明实施例的实现进行详细阐述,所附附图仅供参考说明之用,并非用来限定本发明实施例。
本发明实施例提供了一种呼吸识别方法,该呼吸识别方法通过呼吸识别装置实现。图1为本发明实施例提供的一种呼吸识别装置的结构示意图。如图1所示,呼吸识别装置主要包括呼吸检测设备101、运动检测设备102、分别与呼吸检测设备101和运动检测设备102连接处理器103,以及存储器104。存储器104与处理器103连接。
需要说明的是,在本发明的实施例中,呼吸检测设备101具体可以包括气囊、压力传感器,以及与气囊和压力传感器连接的气体导管。由于患者呼吸时会产生腹部运动,因此,可以将气囊贴附在患者的腹部,从而在患者呼吸时利用压力传感器检测气囊压力变化情况,获得呼吸检测信号。当然,呼吸检测设备101还可以为其它能够用于检测患者呼吸状态相关信号的设备。具体的呼吸检测设备101本发明实施例不作限定。
需要说明的是,在本发明的实施例中,运动检测设备102用于采集患 者相关的运动信号。运动检测设备102为可置于可配置附件中的压力检测设备、液体测量设备,以及运动抓取摄像设备中的任意一种,或者,可贴附在患者的运动监测部位的气压检测设备、加速度检测设备,以及陀螺仪中的任意一种。其中,气压检测设备实际上可以与上述呼吸检测设备101相同,也是根据测量到的气囊气压变化得到患者的运动信号,区别仅在于需要将其置于由于患者运动引起气囊压力变化的位置。当然,运动检测设备102还可以为其它能够检测患者运动信号的设备。具体的运动检测设备102本发明实施例不作限定。
需要说明的是,在本发明的实施例中,可配置附件为床、床垫、温箱中的任意一种。可配置附件用于放置例如压力检测设备、液体测量设备,以及运动抓取摄像设备等设备。在患者使用可配置附件时,例如,患者躺在床上时,即可通过床内部的压力检测设备检测患者的运动状态。
可以理解的是,在本发明的实施例中,对于不同类型的患者,可根据实际情况选择合适的运动检测设备102采集运动信号。例如,对于新生儿患者,由于其通常情况下一直处于温箱中,因此,可以在新生儿使用的温箱内配置特定的运动检测设备102如运动抓取摄像设备以实时采集新生儿的呼吸监测信号。
示例性的,在本发明的实施例中,可以在患者使用的床垫上加液体测量设备,具体的液体测量设备为液体垫子。在患者躺在床上时,通过液体垫子内液体的流动,即可检测出患者是否处于运动状态。此外,还可以在床垫上配置运动抓取摄像设备,以通过运动抓取摄像设备检测床垫厚度的变化情况。根据床垫厚度的变化情况可以进一步检测出患者的运动状态。
可以理解的是,在本发明的实施例中,如图2所示,呼吸检测设备101和运动检测设备102可以设计为多腔管的结构,一个腔走气,一个腔走电信号。此外,如果呼吸检测设备101和运动检测设备102均为输出电信号的设备,还可以将两个设备设计为一个腔的结构。此外,还可以将运动检 测设备102的导线设置在呼吸检测设备101的气腔壁上,具体的连接形式本发明实施例不作限定。
需要说明的是,在本发明的实施例中,呼吸检测设备101的压力传感器通过导线与处理器103连接,以将压力传感器获得的呼吸监测信号输出至处理器103。同样的,运动检测设备102通过导线与处理器103连接,以将运动检测设备102获得的运动信号输出至处理器103。
在本发明的实施例中,处理器103在接收到呼吸检测设备101提供的呼吸监测信号,以及运动检测设备102提供的运动信号之后,即可根据运动信号对呼吸监测信号进行处理,获得呼吸识别信号。
具体的,在本发明的实施例中,处理器103分别对呼吸检测设备101提供的呼吸监测信号,以及运动检测设备102提供的运动信号进行信号处理,从而获得处理后的呼吸监测信号和处理后的运动信号。处理器103根据处理后的运动信号对处理后的呼吸监测信号进行筛选,获得呼吸识别信号。
需要说明的是,在本发明的实施例中,呼吸监测信号和运动信号通常为模拟信号,处理器103可以针对呼吸监测信号和运动信号进行如调整幅值、滤波等信号调理,也可以进行模数转换处理,还可以将呼吸监测信号和运动信号转换为数字通讯信号。处理器103对呼吸监测信号和运动信号进行信号处理,可以滤除噪声等干扰,有利于后续进行信号分析。当然,具体实现时,处理器103也可以包括一个处理模块来实现上述对呼吸监测信号和运动信号的处理。具体的信号处理方式本发明实施例不作限定。
可以理解的是,处理后的呼吸监测信号中存在某些受到患者运动干扰而表征异常的信号。如果处理器103直接利用处理后的呼吸监测信号识别患者的呼吸状态,即处理后的呼吸监测信号中受到患者运动干扰而表征异常的信号也参与了呼吸状态识别过程,将导致识别出的呼吸状态不准确,甚至是误识别。而在本发明的实施例中,处理器103在获得处理后的呼吸 监测信号和处理后的运动信号之后,可以根据处理后的运动信号从处理后的呼吸监测信号中选取出表征正常的信号确定为呼吸识别信号,从而利用呼吸识别信号可以准确的识别出患者的呼吸状态。
在本发明的实施例中,处理器103在获得呼吸识别信号之后,即可根据呼吸识别信号识别患者的呼吸状态。其中,处理器103可以根据呼吸识别信号确定患者的呼吸频率,也可以根据呼吸识别信号识别患者是否存在呼吸暂停的状态,还可以根据呼吸识别信号识别患者是处于呼气状态还是吸气状态。
需要说明的是,在本发明的实施例中,处理器103实际上还可以具体包括两个独立的处理器,其中一个处理器置于传感器转接盒中,对采集到的呼吸监测信号和运动信号做预处理,另一个处理器做呼吸识别处理,得到患者的呼吸状态。对于包括呼吸识别装置的医疗设备,做呼吸识别处理的这个处理器可以与医疗设备的处理器集成到一起。这里,医疗设备可以为麻醉机、呼吸机、病人监护仪等具有呼吸检测功能的为患者提供医疗服务的设备。
需要说明的是,在本发明的实施例中,传感器转接盒可以对呼吸检测设备101和/运动检测设备102进行供电,并且其内置的处理器可以对检测设备采集的信号进行一些信号处理,例如,上述信号处理和模数转换等。通气设备内置的处理器利用信号处理后的信号进行呼吸识别处理。
需要说明的是,在本发明的实施例中,通气设备可以为呼吸机、麻醉机等具备通气功能的医疗设备。此外,通气设备的通气方式可以为有创通气、无创通气、氧疗,以及鼻导管吸氧中的任意一种。具体的通气设备和通气设备的通气方式本发明实施例不作限定。
需要说明的是,在本发明的实施例中,处理器103可以按照上述划分为两个独立的处理器进行配置,当然,也可以为可同时实现信号处理和呼吸识别的一个集成的处理器,内置于通气设备中。呼吸检测设备101和/或 运动检测设备102可以直接通过导线与处理器103连接,本发明实施例不作限定。
图3(a)为本发明实施例提供的一种示例性的呼吸检测设备和运动检测设备的贴附示意图一。如图3(a)所示,对于加速度传感器或者陀螺仪等运动检测设备102,可以与呼吸检测设备101直接贴附在患者的身上。图3(b)为本发明实施例提供的一种示例性的呼吸检测设备和运动检测设备的贴附示意图二。如图3(b)所示,对于压力检测设备或者液体测量设备等运动检测设备102,可以设置在床上,而呼吸检测设备101贴附在患者身上。此外,如图3(a)和3(b)所示,呼吸检测设备101和运动检测设备102可以通过导线与传感器转接盒连接,从而将各自获得的信号通过传感器转接盒信号的内置处理器信号处理后,传输给通气设备的内置处理器以进行后续呼吸识别处理。其中,传感器转接盒的内置处理器和通气设备的内置处理器两部分传感器实际上对应的就是本发明的处理器103。
进一步地,在一实施例中,处理器103将获得的呼吸识别信号和/或识别出的患者的呼吸状态存储到存储器104。医护人员在对患者进行医疗诊断或者确定医疗方案时,可以查看存储器104中存储的历史呼吸数据,也就是呼吸识别信号和/或患者的呼吸状态,作为辅助参考信息。
本实施例提供的呼吸监测设备,通过对患者的运动检测来辅助识别呼吸,能提高呼吸识别的准确性。特别对于新生儿患者,由于患者本身易动、不受控,且医生不能时时守在患者床旁,提高呼吸识别准确性的意义更为重大。进一步地,只有在保证呼吸识别准确性的情况下,医疗设备提供的患者的历史呼吸信息才有临床使用价值。
需要说明的是,在本发明的实施例中,处理器103可以为特定用途集成电路(Application Specific Integrated Circuit,ASIC)、数字信号处理器(Digital Signal Processor,DSP)、数字信号处理装置(Digital Signal Processing Device,DSPD)、可编程逻辑装置(Programmable Logic Device, PLD)、现场可编程门阵列(Field Programmable Gate Array,FPGA)、中央处理器(Central Processing Unit,CPU)、控制器、微控制器、微处理器中的至少一种,本发明实施例不作限定。
需要说明的是,在本发明的实施例中,存储器104可以是易失性存储器(volatile memory),例如随机存取存储器(Random Access Memory,RAM);或者非易失性存储器(non-volatile memory),例如只读存储器(Read Only Memory,ROM),快闪存储器(flash memory),硬盘(Hard Disk Drive,HDD)或固态硬盘(Solid-State Drive,SSD);或者以上种类的存储器的组合,并向处理器103提供存储的呼吸识别程序,本发明实施例不作限定。
以下基于上述呼吸识别装置详细说明本发明实施例提供的呼吸识别方法。
图4为本发明实施例提供的一种呼吸识别方法的流程示意图。如图4所示,呼吸识别方法包括以下步骤:
S401、通过呼吸检测设备采集呼吸监测信号,并通过运动检测设备采集运动信号。
在本发明的实施例中,呼吸识别装置可以先通过呼吸检测设备101采集呼吸监测信号,并通过运动检测设备102采集运动信号。
需要说明的是,在本发明的实施例中,呼吸检测设备101和运动检测设备102可以针对患者持续实时采集对应的呼吸监测信号和运动信号,当然,也可以按照一定周期或者在特定时间段内进行信号采集。具体的呼吸监测信号和运动信号本发明实施例不作限定。
可以理解的是,在本发明的实施例中,呼吸监测信号实际上就是可以表征患者呼吸状态的相关信号,但是,由于干扰因素的干扰,呼吸监测信号中实际上也夹杂了一些干扰信号,将影响识别患者呼吸状态的准确性。因此,呼吸识别装置同时通过运动检测设备102采集患者相应的运动信号,从而在后续识别过程中与呼吸监测信号共同用于识别患者的呼吸状态。
S402、根据运动信号对呼吸监测信号进行处理,获得呼吸识别信号。
在本发明的实施例中,呼吸识别装置通过呼吸检测设备101采集到呼吸监测信号,并通过运动检测设备102采集到运动信号之后,处理器103即可根据运动信号对呼吸监测信号进行处理,获得用于进行患者呼吸状态识别的呼吸识别信号。
具体的,在本发明的实施例中,处理器103根据运动信号对呼吸监测信号进行处理,获得呼吸识别信号,包括:分别对呼吸监测信号和运动信号进行信号处理,获得处理后的呼吸监测信号和处理后的呼吸运动信号;根据处理后的运动信号对处理后的呼吸监测信号进行筛选,获得呼吸识别信号。
需要说明的是,在本发明的实施例中,呼吸检测设备101采集到的呼吸监测信号,以及运动检测设备102采集到的运动信号通常为模拟信号。处理器103可以对呼吸监测信号和运动信号分布进行信号处理,比如进行信号调理和模数转换。具体的信号调理包括但不限于调整幅值和滤波等处理。具体的信号处理方式本发明实施例不作限定。
具体的,在本发明的实施例中,处理器103根据处理后的运动信号对处理后的呼吸监测信号进行筛选,获得呼吸识别信号,包括:根据处理后的运动信号,将处理后的呼吸监测信号中表征正常的信号作为呼吸识别信号。
需要说明的是,在本发明的实施例中,处理器103可以利用一些信号识别算法,根据处理后的运动信号,从处理后的呼吸监测信号中识别出表征正常的信号,以作为呼吸识别信号。具体的,处理器103可以根据处理后的运动信号,先从处理后的呼吸监测信号中筛选出表征异常的信号,再将剩余的信号作为呼吸识别信号。
可以理解的是,在本发明的实施例中,患者在呼吸过程中出现运动,相应的将影响到呼吸监测信号,因此,处理器103可以根据运动产生的处 理后的运动信号,去处理后的呼吸监测信号中筛选可用于识别患者呼吸状态的未经干扰的呼吸识别信号。
示例性的,在本发明的实施例中,处理器103获得了从时刻T1到时刻T2的处理后的呼吸监测信号。相应的,处理器103可以根据时刻T1到时刻T2的运动信号对呼吸监测信号进行筛选。若在时刻T1到时刻T2之间的某一时刻,运动信号强度较大,处理器103则将这一时刻的处理后的呼吸监测信号筛除,其余的信号为表征正常的信号,则作为呼吸识别信号。
S403、根据呼吸识别信号识别患者的呼吸状态。
在本发明的实施例中,呼吸识别装置的处理器103在获得呼吸识别信号之后,即可根据呼吸识别信号识别患者的呼吸状态。
可以理解的是,在本发明的实施例中,呼吸识别信号为根据处理后的运动信号,从处理后的呼吸监测信号中选取出未受到运动干扰的信号。处理器103根据呼吸识别信号可以准确地识别患者的呼吸状态。
需要说明的是,在本发明的实施例中,处理器103可以根据呼吸识别信号识别患者的呼吸状态,具体可以为根据呼吸识别信号确定患者的呼吸频率,也可以为根据呼吸识别信号识别患者是否存在呼吸暂停的状态,还可以为根据呼吸识别信号识别患者具体是处于呼气状态还是吸气状态。
需要说明的是,在本发明的实施例中,处理器103可以按照预设判定规则,根据呼吸识别信号识别患者的呼吸状态。具体的判定规则本发明实施例不作限定。
具体的,在本发明的实施例中,呼吸识别信号可以通过贴附在患者身上的气囊的气压值获得。若气压值逐渐增大,处理器103即识别出患者的呼吸状态为吸气状态。相应的,若气压值逐渐减小,处理器103即识别出患者的呼吸状态为呼气状态。此外,处理器103还可以在识别出患者的呼吸状态后做通气控制,即切换通气状态。具体地,处理器103可以在识别出患者处于吸气状态达到预设时长后,控制通气设备由吸气模式切换到呼 气模式,或者,在识别出患者处于呼气状态达到预设时长后,控制通气设备由呼气模式切换到吸气模式,以满足患者的通气需求。
具体的,在本发明的实施例中,处理器103可以获取一段时间内患者的呼吸识别信号,从而根据其计算出患者的呼吸频率。此外,处理器103还可以在呼吸频率超出预设正常频率范围的情况下,输出报警提示信息或通气参数调节信息。医护人员在查看到报警提示信息的情况下,可以及时对患者进行相应的医疗措施,或者,调整通气设备的通气参数,以满足患者的通气需求。当然,对于通气设备与呼吸识别装置连接,或者通气设备包括呼吸识别装置的情况,通气设备在接收到呼吸识别装置输出的通气参数调节信息后,可以根据接收到的通气参数调节信息进行自动调节通气参数,以提高通气设备的安全性,降低医护人员的工作量。
具体的,在本发明的实施例中,如果呼吸识别信号在一段时间内持续不变,处理器103则可以判断患者处于呼吸暂停状态。呼吸暂停往往会对患者带来很多不可预估的危害,因此,处理器103在识别出患者处于呼吸暂停状态时,可以及时输出报警提示信息或通气参数调节信息,以提醒医护人员进行相应的医疗措施,或通过通气设备自动调节通气参数,以提高通气设备的安全性,降低医护人员的工作量。
需要说明的是,在本发明的实施例中,处理器103在识别出患者的呼吸状态之后,还可以将其存储在存储器104中。此外,处理器103在获得呼吸识别信号之后,也可以将呼吸识别信号存储在存储器104中。医护人员在对患者进行医疗诊断或者确定医疗方案时,可以查看存储器104中存储的历史呼吸数据,也就是呼吸识别信号和/或患者的呼吸状态,作为辅助参考信息。
本发明实施例提供了一种呼吸识别方法,通过呼吸检测设备采集呼吸监测信号,并通过运动检测设备采集运动信号;根据运动信号对呼吸监测信号进行处理,获得呼吸识别信号;根据呼吸识别信号识别患者的呼吸状 态。本发明实施例提供的技术方案,对患者同时进行呼吸和运动监测,从而确定出未受到运动干扰的呼吸识别信号以进行呼吸识别,提高了呼吸识别的准确性。
本发明实施例提供了一种呼吸识别装置,如图1所示,呼吸识别装置包括:呼吸检测设备101、运动检测设备102、分别与呼吸检测设备101和运动检测设备102连接的处理器103,以及存储器104;
呼吸检测设备101,采集呼吸监测信号;
运动检测设备102,采集运动信号;
处理器103与存储器104连接,用于执行存储器104中存储的呼吸识别程序,以实现以下步骤:
根据运动信号对呼吸监测信号进行处理,获得呼吸识别信号;根据呼吸识别信号识别患者的呼吸状态。
可选的,处理器103根据所述运动信号对呼吸监测信号进行处理,获得呼吸识别信号的步骤包括:
分别对呼吸监测信号和运动信号进行信号处理,获得处理后的呼吸监测信号和处理后的运动信号;
根据处理后的运动信号对处理后的呼吸监测信号进行筛选,获得呼吸识别信号。
可选的,呼吸检测设备101包括气囊、压力传感器,以及与气囊和压力传感器连接的气体导管。
可选的,运动检测设备102为可置于可配置附件中的压力检测设备、液体测量设备,以及运动抓取摄像设备中的任意一种,或者,可贴附在患者的运动监测部位的气压检测设备、加速度检测设备,以及陀螺仪中的任意一种。
可选的,可配置附件为床、床垫、温箱中的任意一种。
可选的,压力传感器通过导线与处理器连接,以将压力传感器获得的 呼吸监测信号输出至处理器103。
本发明实施例提供了一种呼吸识别装置,通过呼吸检测设备采集呼吸监测信号,并通过运动检测设备采集运动信号;根据运动信号对呼吸监测信号进行处理,获得呼吸识别信号;根据呼吸识别信号识别患者的呼吸状态。本发明实施例提供的呼吸识别装置,对患者同时进行呼吸和运动监测,从而确定出未受到运动干扰的呼吸识别信号以进行呼吸识别,提高了呼吸识别的准确性。
本发明实施例还提供了一种包含上述呼吸识别装置的通气设备。图5为本发明实施例提供的一种通气设备的结构示意图。如图5所示,通气设备不仅包括呼吸识别装置501,还包括气源接口502、呼吸回路503和控制器504;
气源接口502与外部气源连接,通过气源接口502,在通气过程中提供气体;
气源接口502与呼吸回路503和控制器504连接,在控制器504的控制下向患者提供通气支持;
呼吸识别装置501与控制器504连接。
本发明实施例还提供了一种包含上述呼吸识别装置的医疗设备,医疗设备包括呼吸检测单元,医疗设备可以为病人监护仪等。
本公开实施例还提供了一种计算机可读存储介质,计算机可读存储介质存储有呼吸识别程序,呼吸识别程序可以被处理器执行,以实现上述呼吸识别方法。计算机可读存储介质可以是是易失性存储器(volatile memory),例如随机存取存储器(Random-Access Memory,RAM);或者非易失性存储器(non-volatile memory),例如只读存储器(Read-Only Memory,ROM),快闪存储器(flash memory),硬盘(Hard Disk Drive,HDD)或固态硬盘(Solid-State Drive,SSD);也可以是包括上述存储器之一或任意组合的各种设备,如移动电话、计算机、平板设备、个人数字助理等。
本领域内的技术人员应明白,本发明的实施例可提供为方法、***、或计算机程序产品。因此,本发明可采用硬件实施例、软件实施例、或结合软件和硬件方面的实施例的形式。而且,本发明可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器和光学存储器等)上实施的计算机程序产品的形式。
本发明是参照根据本发明实施例的方法、设备(***)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程信号处理设备的处理器以产生一个机器,使得通过计算机或其他可编程信号处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程信号处理设备以特定方式工作的计算机可读存储器中,使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品,该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程信号处理设备上,使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理,从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
以上所述,仅为本发明的较佳实施例而已,并非用于限定本发明的保护范围。
在本发明实施例的技术方案中,通过呼吸检测设备采集呼吸监测信号,并通过运动检测设备采集运动信号;根据运动信号对呼吸监测信号进行处理,获得呼吸识别信号;根据呼吸识别信号识别患者的呼吸状态。本发明实施例提供的技术方案,对患者同时进行呼吸和运动监测,从而确定出未受到运动干扰的呼吸识别信号以进行呼吸识别,提高了呼吸识别的准确性。
Claims (14)
- 一种呼吸识别装置,其特征在于,所述装置包括:呼吸检测设备、运动检测设备、分别与所述呼吸检测设备和所述运动检测设备连接的处理器,以及存储器;所述呼吸检测设备,采集呼吸监测信号;所述运动检测设备,采集运动信号;所述处理器与所述存储器连接,用于执行所述存储器中存储的呼吸识别程序,以实现以下步骤:根据所述运动信号对所述呼吸监测信号进行处理,获得呼吸识别信号;根据所述呼吸识别信号识别患者的呼吸状态。
- 根据权利要求1所述的装置,其特征在于,所述处理器根据所述运动信号对所述呼吸监测信号进行处理,获得呼吸识别信号的步骤包括:分别对所述呼吸监测信号和所述运动信号进行信号处理,获得处理后的呼吸监测信号和处理后的运动信号;根据所述处理后的运动信号对所述处理后的呼吸监测信号进行筛选,获得所述呼吸识别信号。
- 根据权利要求1所述的装置,其特征在于,所述呼吸检测设备包括气囊、压力传感器,以及与所述气囊和所述压力传感器连接的气体导管。
- 根据权利要求1所述的装置,其特征在于,所述运动检测设备为可置于可配置附件中的压力检测设备、液体测量设备,以及运动抓取摄像设备中的任意一种,或者,可贴附在患者的运动监测部位的气压检测设备、加速度检测设备,以及陀螺仪中的任意一种。
- 根据权利要求4所述的装置,其特征在于,所述可配置附件为床、床垫、温箱中的任意一种。
- 根据权利要求3所述的装置,其特征在于,所述压力传感器通过导线与所述处理器连接,以将所述压力传感器获得的所述呼吸监测信号输出至所述处理器。
- 一种包含权利要求1-6任一项所述的呼吸识别装置的通气设备,所述通气设备包括气源接口、呼吸回路和控制器;通过所述气源接口,在通气过程中提供气体;所述气源接口与所述呼吸回路和所述控制器连接,在所述控制器的控制下向患者提供通气支持;所述呼吸识别装置与所述控制器连接。
- 一种包含权利要求1-6任一项所述的呼吸识别装置的医疗设备,其特征在于,所述医疗设备包括呼吸检测单元。
- 一种呼吸识别方法,其特征在于,所述方法包括:通过呼吸检测设备采集呼吸监测信号,并通过运动检测设备采集运动信号;根据所述运动信号对所述呼吸监测信号进行处理,获得呼吸识别信号;根据所述呼吸识别信号识别患者的呼吸状态。
- 根据权利要求9所述的方法,其特征在于,所述根据所述运动信号对所述呼吸监测信号进行处理,获得呼吸识别信号,包括:分别对所述呼吸监测信号和所述运动信号进行信号处理,获得处理后的呼吸监测信号和处理后的运动信号;根据所述处理后的运动信号对所述处理后的呼吸监测信号进行筛选,获得所述呼吸识别信号。
- 根据权利要求9所述的方法,其特征在于,所述呼吸检测设备包括气囊、压力传感器,以及与所述气囊和所述压力传感器连接的气体导管。
- 根据权利要求10所述的方法,其特征在于,所述运动检测设备为可置于可配置附件中的压力检测设备、液体测量设备,以及运动抓取 摄像设备中的任意一种,或者,可贴附在患者的运动监测部位的气压检测设备、加速度检测设备,以及陀螺仪中的任意一种。
- 根据权利要求12所述的方法,其特征在于,所述可配置附件为床、床垫、温箱中的任意一种。
- 一种计算机可读存储介质,其特征在于,所述计算机可读存储介质存储有呼吸识别程序,所述呼吸识别程序可以被处理器执行,以实现权利要求9-13任一项所述的呼吸识别方法。
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2019
- 2019-09-18 CN CN201980099538.3A patent/CN114269238A/zh active Pending
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