WO2022141118A1 - Procédé d'obtention d'informations de respiration, appareil, moniteur et support d'enregistrement lisible par ordinateur - Google Patents

Procédé d'obtention d'informations de respiration, appareil, moniteur et support d'enregistrement lisible par ordinateur Download PDF

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WO2022141118A1
WO2022141118A1 PCT/CN2020/141081 CN2020141081W WO2022141118A1 WO 2022141118 A1 WO2022141118 A1 WO 2022141118A1 CN 2020141081 W CN2020141081 W CN 2020141081W WO 2022141118 A1 WO2022141118 A1 WO 2022141118A1
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patient
signal
information
physiological
physiological signal
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PCT/CN2020/141081
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English (en)
Chinese (zh)
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金星亮
何先梁
张飞
冯一鸣
肖礼飞
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深圳迈瑞生物医疗电子股份有限公司
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Priority to CN202080108004.5A priority Critical patent/CN116600702A/zh
Priority to PCT/CN2020/141081 priority patent/WO2022141118A1/fr
Publication of WO2022141118A1 publication Critical patent/WO2022141118A1/fr

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/053—Measuring electrical impedance or conductance of a portion of the body
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/30—Input circuits therefor
    • A61B5/307—Input circuits therefor specially adapted for particular uses
    • A61B5/308—Input circuits therefor specially adapted for particular uses for electrocardiography [ECG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346—Analysis of electrocardiograms
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/389—Electromyography [EMG]

Definitions

  • the present application relates to the technical field of medical equipment, and in particular, to a method, a device, and a computer-readable storage medium for acquiring respiratory information.
  • Respiration is one of the most basic life activities of the human body. It is the process of gas exchange between the human body and the external environment. For example, the human body can absorb oxygen from the outside world and expel carbon dioxide through breathing, thereby maintaining metabolism.
  • the detection of respiratory information Through the detection of respiratory information, the physiological state and pathological state of the movement of the respiratory tract, alveoli and thorax can be obtained, and the current state of the patient can be obtained indirectly. Therefore, the detection of respiratory information has important clinical significance for medical staff to judge the status of patients. In order to meet the requirements of various current monitoring environments, the acquisition of respiratory information is also developing towards diversification.
  • the methods of acquiring the respiration information may include: acquiring the respiration information based on a sensor in front of the mouth/nose, an electrocardiogram (ECG, Electrocardiogram), and a photoplethysmograph (PPG, Photoplethysmograph).
  • ECG Electrocardiogram
  • PPG Photoplethysmograph
  • the method of obtaining respiratory information based on the sensor in front of the mouth/nose is not suitable for emergency triage or monitoring of ordinary patients, and its applicable scenarios have great limitations.
  • the way to obtain the breathing information based on the change of the thoracic impedance based on the ECG signal because the weak breathing is very sensitive to the patient's position change, the patient's slight movement may distort the breathing information obtained based on the ECG, and it is not suitable for patients with cardiac system diseases.
  • the monitoring of respiratory information also has a greater impact on patients with more than 100 patients, which makes the accuracy of respiratory information detection results low.
  • the method of extracting the breathing signal based on the PPG signal is to extract the relevant breathing information directly from the optical signal obtained by the PPG sensor, which is also greatly affected by the external interference on the measurement results, such as the displacement of the sensor and the finger tip or the change of the peripheral circulation, etc. , which makes the accuracy of respiratory information detection results low.
  • the present application provides a method, device, monitor and computer-readable storage medium for acquiring respiratory information, which can improve the accuracy of acquiring respiratory information.
  • an embodiment of the present application provides a method for acquiring respiratory information, including:
  • Respiration information of the patient is obtained based on the plurality of physiological signals through the detection strategy.
  • an embodiment of the present application provides a physiological signal processing device, including:
  • Acquisition equipment for acquiring physiological signals of patients
  • a detection device including a memory and a processor, for acquiring the breathing state information of the patient based on the physiological signal through a detection strategy
  • the processor is configured to run the computer program stored in the memory, and implement the aforementioned method for acquiring respiratory information when the computer program is executed.
  • an embodiment of the present application provides a monitor, including:
  • the parameter measurement circuit is used to connect the sensor accessories to obtain the collected physiological parameter signals of the patient;
  • a main control circuit including a memory and a processor, for acquiring the patient's breathing state information based on the physiological signal through a detection strategy
  • the processor is configured to run the computer program stored in the memory, and implement the aforementioned method for acquiring respiratory information when the computer program is executed.
  • an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor implements the foregoing method.
  • Embodiments of the present application provide a method, device, monitor, and computer-readable storage medium for acquiring respiratory information.
  • a detection strategy corresponding to the patient is acquired, and the detection strategy is based on the detection strategy.
  • the various physiological signals are used to obtain the breathing information of the patient.
  • Obtaining respiratory information through multiple physiological signals and adaptive detection strategies can improve the accuracy of respiratory information acquisition compared to determining respiratory information through a single physiological signal.
  • FIG. 1 is a schematic flowchart of a method for acquiring respiratory information provided by an embodiment of the present application
  • FIG. 2 is a schematic block diagram of a physiological signal processing apparatus provided by an embodiment of the present application.
  • FIG. 3 is a schematic block diagram of a monitor provided by an embodiment of the present application.
  • FIG. 1 is a schematic flowchart of a method for acquiring respiratory information provided by an embodiment of the present application.
  • the method for acquiring respiratory information can be applied in a physiological signal processing device for acquiring the breathing information of a patient and other processes; wherein the type of the physiological signal processing device can be flexibly set according to actual needs, for example, the physiological signal processing device can be monitor, etc.
  • the method for acquiring respiratory information in the embodiment of the present application includes: acquiring various physiological signals of a patient; acquiring a detection strategy corresponding to the patient; and acquiring respiratory information of the patient based on the various physiological signals through the detection strategy. Obtaining respiratory information through multiple physiological signals and adaptive detection strategies can improve the accuracy of respiratory information acquisition compared to determining respiratory information through a single physiological signal.
  • the method for acquiring respiratory information in this embodiment of the present application includes steps S110 to S130.
  • the physiological signal of the patient can be acquired in at least one of the following ways: using a photovolume acquisition device to acquire the photovolume signal of the patient; using an electrocardiogram acquisition device to acquire the patient's electrocardiogram signal; A collection device collects the electromyographic signal of the patient.
  • the photovolume signal, the electrocardiographic signal, and the electromyographic signal may be set as various physiological signals of the patient.
  • the photoplethysmographic acquisition device can collect the photoplethysmographic signal of the patient's finger, forehead, ear, wrist or neck through the photovolume sensor, or it can be called photoplethysmograph (PPG).
  • the ECG acquisition device may acquire the ECG signal (ECG, Electrocardiogram) of the patient through an ECG acquisition chip and/or an ECG acquisition circuit.
  • the electromyography acquisition device can collect the patient's electromyography signal (EMG) or surface electromyography signal (SEMG) through needle electrodes or electrode patches.
  • a physiological signal processing apparatus such as a monitor, is equipped with an acquisition device for acquiring the patient's physiological signals, or can be connected in communication with the acquisition device.
  • the acquisition device may include a photoelectric volume acquisition device, an electrocardiogram acquisition device, and an electromyography acquisition device, but of course it is not limited thereto.
  • the detection strategy is used to determine the breathing information of the patient according to various physiological signals. Determining the patient's respiration information through multiple signal fusion can improve the accuracy of respiration information acquisition.
  • a detection strategy suitable for the current patient among various detection strategies By determining a detection strategy suitable for the current patient among various detection strategies, and determining the breathing information of the patient according to various physiological signals, the accuracy of acquiring the breathing information can be improved.
  • a detection strategy corresponding to the patient may be determined according to the patient's condition, posture, etc., and limitations of some detection strategies may be avoided.
  • the patient's level of care may be obtained, and a detection strategy may be determined based on the level of care.
  • patients can be divided into 3 levels of care for different clinical scenarios.
  • primary care corresponds to critically ill patients whose condition tends to be stable
  • secondary care corresponds to patients whose condition is stable and still needs to be bedridden
  • tertiary care corresponds to patients who are fully able to take care of themselves and are in the recovery period.
  • the determined detection strategy may be a detection method with higher accuracy. , such as thoracic impedance detection; if the patient is in tertiary care, since the detection of such patients may be subject to external interference such as exercise, the determined detection strategy may be the detection method that is less affected, or the determined detection strategy may incorporate multiple This kind of physiological signal determines the breathing information of the patient, and improves the accuracy of obtaining the breathing information.
  • the acquiring the level of care of the patient includes: acquiring exercise information of the patient, determining state information of the patient according to the exercise information, and determining the level of care of the patient according to the state information .
  • the patient's state information may include: quiet, moving, sleeping, upright, sitting, supine, lateral, autonomous walking, cart walking, and the like.
  • the level of care a patient needs, and an adaptive testing strategy, can be determined based on the patient's status.
  • the patient's level of care is tertiary care, the patient is fully able to take care of himself and is in the recovery period; when the patient's state information is quiet, the patient's level of care is first-level care, and the patient The patient's condition tends to be stable; when the patient's status information is supine, the patient's nursing level is secondary nursing, the patient's condition is stable, and he still needs to stay in bed.
  • the acquiring the motion information of the patient includes: acquiring an acceleration signal of the patient, and/or acquiring an acceleration signal of a collection device used for collecting various physiological signals, to obtain the motion information of the patient.
  • the monitor can communicate with a patient-worn wearable device, such as a smart watch, and acquire the patient's acceleration signal.
  • a patient-worn wearable device such as a smart watch
  • an acquisition device for acquiring physiological signals can detect acceleration signals of the acquisition device through an accelerometer and/or a gyroscope.
  • the monitor can acquire the acceleration signal of the patient and/or collect the acceleration signal of the device, and determine the motion information of the patient according to the acceleration information. For example, it may be determined that the patient is in a resting state or a sitting state when the acceleration information is zero.
  • the obtaining the level of care of the patient comprises: receiving an input of the level of care of the patient.
  • the level of care of the patient can be input by the medical staff through the display interface of the monitor or by voice.
  • the acquiring the level of care of the patient includes: acquiring health data of the patient, and determining the level of care of the patient according to the health data.
  • the mobile terminal used by the patient such as a mobile phone or a wearable device
  • it is possible to access the mobile terminal used by the patient such as a mobile phone or a wearable device, to obtain the patient's health data, or to access the server based on the patient's identity to obtain the patient's health data, and to determine the patient's level of care based on the health data.
  • the determining the detection strategy according to the level of care includes at least one of the following: when the level of care is level 1 and the conditions for using the direct method for detection are met, the detection strategy is determined to be the direct method detection; when When the nursing level is the first level and the conditions for using the direct method for detection are not met, the detection strategy is determined to be detection by the thoracic impedance method; when the nursing level is the second or third level and the conditions for using the thoracic impedance method for detection are met , the detection strategy is determined as thoracic impedance detection; when the nursing level is second or third, and the conditions for using thoracic impedance detection are not met, the detection strategy is determined as signal extraction detection.
  • the direct method detection is used to instruct the acquisition of breathing information based on the sensor in front of the patient's mouth/nose, and the accuracy is high
  • the thoracic impedance method detection is used to instruct the acquisition of the thoracic impedance change based on the ECG signal to obtain the breathing information
  • the signal extraction method is used for detection.
  • the patient's breathing information is determined by instructing fusion of multiple physiological signals.
  • priorities of different detection strategies may be obtained, and a detection strategy corresponding to the patient is determined according to the priorities.
  • the detection strategy includes direct method detection, thoracic impedance method detection, and signal extraction method detection with priorities ranked from high to low.
  • a detection strategy corresponding to the patient may be determined according to the priorities of different detection strategies.
  • the determining the detection strategy corresponding to the patient according to the priority includes: judging whether the conditions for using the direct method detection are met; if the conditions for using the direct method detection are met, then determining that the detection strategy is the direct method detection. ; If the conditions for using the direct method are not met, then judge whether the conditions for using the thoracic impedance method are met; if the conditions for using the thoracic impedance method are met, the detection strategy is determined to be the thoracic impedance method detection; If the impedance detection conditions are met, the detection strategy is determined as signal extraction detection.
  • the obtaining the breathing information of the patient based on the plurality of physiological signals through the detection strategy includes: when determining the patient's breathing information based on the plurality of physiological signals
  • the breathing information is collected through the nasal cannula or the neck patch worn by the patient.
  • a carbon dioxide sensor is arranged in the nasal catheter, and the patient's breathing information can be collected through the carbon dioxide sensor. Through the neck patch, the vibration of the patient's vocal cords can be sensed to determine the patient's breathing information.
  • whether the patient is suitable for wearing a nasal catheter or a neck patch may be determined according to at least one of a photovolume signal, an electrocardiogram signal, and an electromyography signal of the patient.
  • the patient's medical record information may also be acquired, and whether the patient can wear a nasal cannula or a neck patch is determined according to the patient's injury site and/or doctor's order in the medical record information.
  • the acquiring the breathing information of the patient based on the various physiological signals through the detection strategy includes: when determining based on the various physiological signals
  • the respiration information is collected through the ECG acquisition device set in the preset part of the patient.
  • the ECG signal is extracted from the plurality of physiological signals, and the respiration information is determined according to the ECG signal.
  • the respiration rate (ie, respiration information) can be calculated according to Ohm's law in the detection of the thoracic impedance method. For example, there are certain voltages U1 and U2 between the three leads of the ECG signal. Detect the change of thoracic impedance (ie resistance R) in the process of ups and downs, keep U constant, R is changing, then the detected current I is also changing. Therefore, the respiration wave can be determined by detecting the change of the current I, that is, the change of the current I can reflect the respiration signal, for example, the respiration rate can be calculated according to the change of the current I.
  • the respiration wave can be determined by detecting the change of the current I, that is, the change of the current I can reflect the respiration signal, for example, the respiration rate can be calculated according to the change of the current I.
  • the thoracic impedance method may determine respiration information based on the ECG signal after collecting the ECG signal of the patient.
  • acquiring the patient's breathing information based on the plurality of physiological signals through the detection strategy includes: acquiring the signal quality of each physiological signal index; screening out physiological signals that meet preset conditions according to the signal quality index; and acquiring the patient's breathing information according to the screened out physiological signals.
  • the patient's respiration information may be determined according to the various physiological signals, so as to improve the accuracy of respiration information acquisition. .
  • the photoplethysmographic signal PPG signal
  • the electrocardiogram signal ECG signal
  • EMG signal electromyographic signal
  • the acquiring the signal quality index of each physiological signal includes: acquiring characteristic information of each physiological signal, and respectively acquiring the corresponding signal segments of each time window in each physiological signal according to the characteristic information of each physiological signal. signal quality index.
  • characteristic information of the preprocessed physiological signal can be obtained by preprocessing the physiological signal.
  • the preprocessing may include at least one of the following: hardware filtering, signal amplification, analog-to-digital (A/D) conversion, digital filtering by adaptive filters.
  • the peak amplitude, trough amplitude, peak position and/or trough position of the signal can be extracted from the preprocessed physiological signal to obtain characteristic information.
  • the peak position and/or the trough position may be the time corresponding to the peak value and/or the trough value in the signal.
  • time domain analysis and/or frequency domain analysis may be performed on each physiological signal, and each physiological signal may be determined according to the analysis results of the time domain analysis and/or frequency domain analysis.
  • the signal quality index corresponding to the signal segment of each time window in the physiological signal may be performed on each physiological signal, and each physiological signal may be determined according to the analysis results of the time domain analysis and/or frequency domain analysis.
  • the variation of the peak-to-valley difference, the variation of the peak-to-peak interval and/or the variation of the baseline deviation corresponding to the signal segment of each time window in each physiological signal may be obtained separately according to the characteristic information of each physiological signal, And according to the peak-to-valley difference variability, the peak-to-peak interval variability and/or the baseline deviation variability, a signal quality index corresponding to the signal segment of each time window in each physiological signal is determined.
  • the mean value of the peak value and the mean value of the valley value corresponding to the signal segment of each time window in each physiological signal can be obtained respectively, so as to obtain the peak-to-valley difference variability.
  • the peak-valley difference variability is determined according to the difference between the mean value of the peaks and the mean value of the valleys.
  • the mean value of the interval between adjacent wave peaks corresponding to the signal segments of each time window in each physiological signal can be obtained to obtain the peak-to-peak interval variability.
  • the reference baseline in each physiological signal can be obtained, and the mean value of the amplitude values of the discrete points corresponding to the signal segment of each time window in each physiological signal can be obtained to obtain the target baseline; the reference in each physiological signal can be obtained.
  • the deviation between the baseline and the target baseline, the baseline deviation variability is obtained.
  • the reference baseline may be determined from a stable value of the physiological signal of a healthy person.
  • determining the signal quality index corresponding to the signal segment of each time window in each physiological signal according to the peak-to-valley difference variability, the peak-to-peak interval variability and/or the baseline deviation variability including: Obtain the weight value of the variation of the peak-valley difference, the variation of the peak-to-peak interval, and the variation of the baseline deviation corresponding to each physiological signal; according to the weight value, and the variation of the peak-to-valley difference, the peak-to-peak interval
  • the variability, and the baseline deviation variability determine the signal quality index corresponding to the signal segment of each time window in each physiological signal. For example, according to a preset weight value, the signal quality index is obtained by weighting and summing the peak-to-valley difference variability, the peak-to-peak interval variability, and/or the baseline deviation variability.
  • the frequency domain analysis is performed on each physiological signal according to the characteristic information of each physiological signal, and the corresponding signal segment of each time window in each physiological signal is determined according to the analysis result of the frequency domain analysis.
  • the correlation analysis between different frequency bands is performed on the signal segments of each time window in each physiological signal; according to the correlation analysis results between different frequency bands, determine each physiological signal The signal quality index corresponding to the signal segment of each time window in the signal.
  • a pre-stored mapping table of the correlation analysis result and the signal quality index is obtained, and the corresponding signal quality index is determined according to the correlation analysis result between different frequency bands of each of the physiological signals.
  • acquiring the signal quality index of each physiological signal includes: acquiring breathing information based on each physiological signal; acquiring difference information between the breathing information corresponding to each physiological signal; when the difference information When the preset threshold is met, the signal quality index of each physiological signal is obtained.
  • the respiratory rate is calculated for each of the collected physiological signals, and the difference in the respiratory rate is used as the standard for judging the quality of the physiological signals.
  • the difference between the respiration information corresponding to each of the three physiological signals is smaller than the preset threshold, it means that the reliability of the three physiological signals is relatively high, and the signal quality of each physiological signal can be determined. index.
  • the screening of physiological signals that meet the preset conditions according to the signal quality index includes: screening out physiological signals whose signal quality index is greater than or equal to a quality threshold; or screening out one or more physiological signals with the largest signal quality index Signal.
  • the screened physiological signals include one or more.
  • the acquiring the breathing information of the patient according to the selected physiological signals includes: The physiological signal is subjected to interpolation processing to reconstruct a respiration waveform from which respiration information is determined.
  • the physiological signal is subjected to interpolation processing to reconstruct a respiration waveform from which respiration information is determined.
  • acquiring the patient's breathing information according to the screened out physiological signals includes: based on each type of physiological signal The physiological signal obtains the breathing information of the patient respectively, and obtains a plurality of breathing information; obtains the weight value of each physiological signal; and determines the breathing information of the patient according to the weight value of each physiological signal and the breathing information corresponding to each physiological signal information.
  • the respiration information can be determined by integrating the various physiological signals, and the obtained respiration information is more accurate.
  • the sum of the weights of the selected physiological signals is 1.
  • the patient's respiration information may also be obtained separately based on each physiological signal, to obtain multiple pieces of respiratory information, and to combine the multiple pieces of respiratory information
  • the mean of is set to the patient's breathing information.
  • the respiration information can be determined by integrating various physiological signals, and the obtained respiration information is more accurate.
  • one physiological signal may be selected from the plurality of physiological signals as the target physiological signal, and based on the target physiological signal, the patient's physiological signal may be determined. breathing information.
  • the reliability of the screened physiological signals is relatively high, and accurate breathing information can also be obtained by determining the breathing information of the patient according to one of the physiological signals.
  • the method for obtaining respiratory information further includes: when the signal quality index of each physiological signal obtained within a preset time period does not meet the preset condition and output prompt information to prompt the patient to adjust the posture and/or adjust the position of the collecting device for collecting the physiological signal.
  • the physiological signal of the patient after adjusting the posture can be obtained through the acquisition device, or the physiological signal of the patient after the posture can be obtained through the collecting device after adjusting the position, or the patient's physiological signal can be obtained through the collecting device after adjusting the position. a physiological signal, so as to obtain the breathing information of the patient based on the physiological signal obtained after adjustment.
  • the signal quality corresponding to multiple time windows continuously collected within ten seconds is poor.
  • an alarm message is output to prompt the patient or medical staff to adjust the patient's posture and the way of wearing the collection device.
  • the adjustment is completed.
  • re-collect physiological signals to obtain respiratory information.
  • the accuracy of the respiration information determined according to the physiological signals is improved.
  • the outputting prompt information includes: detecting the current state of the patient; if the current state does not meet a preset state, outputting prompt information for adjusting the state, so as to adjust the patient based on the prompt information status.
  • prompt information for adjusting the state is output, for example, prompting the patient to keep still, or adjusting the position of the clipping finger of the acquisition device.
  • the detecting the current state of the patient may include: collecting motion information of the patient, and determining the current state of the patient according to the motion information; or, collecting an image including the patient, and determining the patient according to the image.
  • the current status of the patient may include: collecting motion information of the patient, and determining the current state of the patient according to the motion information; or, collecting an image including the patient, and determining the patient according to the image.
  • the current state of the patient in the image is determined by machine learning methods. If the current state of the patient is not conducive to accurate acquisition of physiological signals, prompt information can be output.
  • the outputting prompt information includes: detecting the position of the collection device; if the position does not meet a preset position condition, outputting prompt information for adjusting the position, so as to adjust the position based on the prompt information The location of the acquisition device.
  • whether it is accurately connected to the corresponding position of the patient can be detected according to the in-situ detection structure of the acquisition device, such as whether the detection probe is clamped on the patient's fingertip, or whether the detection patch is stably attached to the corresponding position of the patient, etc.
  • the monitor may switch to a multi-signal fusion mode or a non-fusion mode.
  • a multi-signal fusion mode multiple physiological signals of the patient are obtained; a detection strategy corresponding to the patient is obtained; and the breathing information of the patient is obtained based on the multiple physiological signals through the detection strategy.
  • a user such as a medical staff, may choose to determine the patient's breathing information according to one of the physiological signals.
  • the method for obtaining respiratory information further includes: detecting whether the multi-signal fusion mode is turned on; if the multi-signal fusion mode is turned on, performing an operation of obtaining various physiological signals of the patient; if the multi-signal fusion mode is not turned on, obtaining The patient's single-channel physiological signal, and the patient's breathing information is obtained based on the single-channel physiological signal.
  • the method for acquiring respiratory information further includes: sending a control instruction carrying the respiratory information to a display device through wired or wireless transmission, so that the display device can display the respiratory information and/or store the respiratory information. breathing information.
  • a control instruction carrying the breathing information is sent to the display device through wired or wireless transmission, so that the display device can display the information.
  • the respiration information and/or the respiration information is stored.
  • the breathing information can be obtained by the patient and/or medical staff.
  • the breathing information acquisition method includes the following steps:
  • step 1 the patient's motion signals and various physiological signals such as ECG, PPG, and EMG are collected.
  • step 2 the motion signal and the physiological signal are preprocessed respectively.
  • step 3 the preprocessed motion signal is analyzed to obtain the patient's posture and motion state information, such as being in bed for a long time.
  • Step 4 Determine the nursing level of the patient according to the patient's posture and motion state information.
  • Step 5 Determine a detection strategy corresponding to the patient according to the patient's level of care.
  • the CO2 method is preferred to obtain the patient's breathing information
  • the nursing level is the second
  • the patient's breathing information can be obtained by the thoracic impedance method, or the patient's breathing information can be obtained by the thoracic impedance method based on the ECG signal.
  • Respiratory information when the nursing level is level 3, the patient's ECG, PPG, EMG and other physiological signals are evaluated for quality, and the respiratory information is determined based on a good-quality physiological signal, or based on multiple good-quality physiological signals.
  • the respiration information corresponding to the multiple physiological signals is weighted or averaged to obtain the patient's respiration information.
  • the breathing information acquisition method provided by the embodiment of the present application acquires a detection strategy corresponding to the patient by acquiring various physiological signals of the patient, and acquires the breathing information of the patient based on the various physiological signals through the detection strategy. Obtaining respiratory information through multiple physiological signals and adaptive detection strategies can improve the accuracy of respiratory information acquisition compared to determining respiratory information through a single physiological signal.
  • FIG. 2 is a schematic block diagram of a physiological signal processing apparatus 600 provided by an embodiment of the present application.
  • the physiological signal processing apparatus 600 includes: a collection device 610 , a display 620 , a memory 630 and a processor 640 .
  • the collecting device 610 is used for collecting physiological signals of the patient, and the display 620 is used for displaying the breathing information of the patient.
  • the memory 630 stores a computer program, and the processor 640 is configured to run the computer program stored in the memory 630, and implement the steps of the aforementioned method for acquiring respiratory information when the computer program is executed.
  • the processor 640 and the memory 430 are connected through a bus 601, and the bus 601 is, for example, an I2C (Inter-integrated Circuit) bus.
  • I2C Inter-integrated Circuit
  • the processor 640 may be a micro-controller unit (Micro-controller Unit, MCU), a central processing unit (Central Processing Unit, CPU), or a digital signal processor (Digital Signal Processor, DSP) or the like.
  • MCU Micro-controller Unit
  • CPU Central Processing Unit
  • DSP Digital Signal Processor
  • the memory 630 may be a Flash chip, a read-only memory (ROM, Read-Only Memory) magnetic disk, an optical disk, a U disk, a mobile hard disk, and the like.
  • ROM Read-Only Memory
  • the memory 630 may be a Flash chip, a read-only memory (ROM, Read-Only Memory) magnetic disk, an optical disk, a U disk, a mobile hard disk, and the like.
  • the processor 640 is configured to run the computer program stored in the memory 630, and implement the following steps when executing the computer program:
  • Respiration information of the patient is obtained based on the plurality of physiological signals through the detection strategy.
  • FIG. 3 is a schematic block diagram of a monitor 700 provided by an embodiment of the present application.
  • the monitor 700 includes: a parameter measurement circuit 710 , a display 720 , a memory 730 and a processor 740 .
  • the parameter measurement circuit 710 is used to collect the physiological signals of the patient.
  • the monitor 700 further includes a sensor attachment 10 , and the parameter measurement circuit 710 is used for connecting the sensor attachment 10 to obtain the physiological parameter signals of the patient collected by the sensor attachment 10 .
  • the parameter measurement circuit 710 can be connected to a variety of sensor accessories 10, for example, for obtaining a variety of physiological signals of a patient through a variety of sensor accessories 10, such as a photovolume signal (PPG signal), the electrocardiogram signal (ECG signal) ), and the electromyographic signal (EMG signal), etc.
  • PPG signal photovolume signal
  • ECG signal electrocardiogram signal
  • EMG signal electromyographic signal
  • Display 720 is used to display the patient's breathing information.
  • the memory 730 stores a computer program
  • the processor 740 is configured to run the computer program stored in the memory 730, and implement the steps of the aforementioned method for acquiring respiratory information when the computer program is executed.
  • the processor 740 and the memory 430 are connected through a bus 701, and the bus 701 is, for example, an I2C (Inter-integrated Circuit) bus.
  • I2C Inter-integrated Circuit
  • the processor 740 may be a micro-controller unit (Micro-controller Unit, MCU), a central processing unit (Central Processing Unit, CPU) or a digital signal processor (Digital Signal Processor, DSP) or the like.
  • MCU Micro-controller Unit
  • CPU Central Processing Unit
  • DSP Digital Signal Processor
  • the memory 730 may be a Flash chip, a read-only memory (ROM, Read-Only Memory) magnetic disk, an optical disk, a U disk, a mobile hard disk, and the like.
  • ROM Read-Only Memory
  • the memory 730 may be a Flash chip, a read-only memory (ROM, Read-Only Memory) magnetic disk, an optical disk, a U disk, a mobile hard disk, and the like.
  • the processor 740 is configured to run the computer program stored in the memory 730, and implement the following steps when executing the computer program:
  • Respiration information of the patient is obtained based on the plurality of physiological signals through the detection strategy.
  • Embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the processor enables the processor to implement the respiratory information acquisition method provided by the foregoing embodiments A step of.
  • the computer-readable storage medium may be the physiological signal processing apparatus described in any of the foregoing embodiments, such as an internal storage unit of a monitor, such as a hard disk or memory of the monitor.
  • the computer-readable storage medium can also be an external storage device of the physiological signal processing device, such as a plug-in hard disk equipped on the monitor, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital) , SD) card, flash memory card (Flash Card), etc.

Abstract

L'invention concerne un procédé d'obtention d'informations de respiration, consistant à : obtenir de multiples signaux physiologiques d'un patient (S110) ; obtenir une stratégie de test correspondant au patient (S120) ; et obtenir des informations de respiration du patient sur la base des multiples signaux physiologiques au moyen de la stratégie de test (S130). La précision de l'obtention d'informations de respiration de patients peut ainsi être améliorée. La présente invention concerne en outre un appareil de traitement de signal physiologique, un moniteur et un support d'enregistrement lisible par ordinateur.
PCT/CN2020/141081 2020-12-29 2020-12-29 Procédé d'obtention d'informations de respiration, appareil, moniteur et support d'enregistrement lisible par ordinateur WO2022141118A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202080108004.5A CN116600702A (zh) 2020-12-29 2020-12-29 呼吸信息获取方法、装置、监护仪及计算机可读存储介质
PCT/CN2020/141081 WO2022141118A1 (fr) 2020-12-29 2020-12-29 Procédé d'obtention d'informations de respiration, appareil, moniteur et support d'enregistrement lisible par ordinateur

Applications Claiming Priority (1)

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PCT/CN2020/141081 WO2022141118A1 (fr) 2020-12-29 2020-12-29 Procédé d'obtention d'informations de respiration, appareil, moniteur et support d'enregistrement lisible par ordinateur

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US20130116520A1 (en) * 2011-09-01 2013-05-09 Masoud Roham Single and multi node, semi-disposable wearable medical electronic patches for bio-signal monitoring and robust feature extraction
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JP2017038673A (ja) * 2015-08-18 2017-02-23 ノーリツプレシジョン株式会社 呼吸検知装置、呼吸検知方法、及び呼吸検知プログラム
CN106580290A (zh) * 2016-12-13 2017-04-26 广州视源电子科技股份有限公司 一种病理信息采集方法和系统
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110066062A1 (en) * 2009-09-14 2011-03-17 Matt Banet Body-worn monitor for measuring respiration rate
US20160051205A1 (en) * 2009-10-15 2016-02-25 Masimo Corporation System for determining confidence in respiratory rate measurements
US20130116520A1 (en) * 2011-09-01 2013-05-09 Masoud Roham Single and multi node, semi-disposable wearable medical electronic patches for bio-signal monitoring and robust feature extraction
US20160007935A1 (en) * 2014-03-19 2016-01-14 Massachusetts Institute Of Technology Methods and apparatus for measuring physiological parameters
JP2017038673A (ja) * 2015-08-18 2017-02-23 ノーリツプレシジョン株式会社 呼吸検知装置、呼吸検知方法、及び呼吸検知プログラム
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