CN108451532B - Method and system for acquiring respiratory information - Google Patents
Method and system for acquiring respiratory information Download PDFInfo
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- CN108451532B CN108451532B CN201810399008.8A CN201810399008A CN108451532B CN 108451532 B CN108451532 B CN 108451532B CN 201810399008 A CN201810399008 A CN 201810399008A CN 108451532 B CN108451532 B CN 108451532B
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/0816—Measuring devices for examining respiratory frequency
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/22—Ergometry; Measuring muscular strength or the force of a muscular blow
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
- A61B5/6823—Trunk, e.g., chest, back, abdomen, hip
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
Abstract
The invention discloses a method and a system for acquiring respiratory information, which are used for acquiring pressure signals corresponding to a plurality of different body parts of a target human body respectively according to a preset pressure acquisition mode; carrying out signal processing on the acquired pressure signal, and analyzing to obtain a respiration signal corresponding to the target human body; acquiring the corresponding respiration intensity and respiration frequency of the target human body according to the acquired respiration signal; the method has the advantages that more accurate breathing information is acquired by acquiring the body surface pressure signals of multiple parts of the human body, the accuracy and the reliability of acquiring the breathing information are improved, and the acquisition of the breathing information is further enabled to have repeatability; in addition, the technical scheme that the body surface pressure information of the target human body during breathing is collected at multiple points simultaneously and correlation analysis is carried out by matching human anatomy is adopted, and individual breathing information such as the breathing mode of the target human body and the participation degree of organ muscles can be further obtained.
Description
Technical Field
The invention relates to the technical field of biomedicine, in particular to a method and a system for acquiring respiratory information.
Background
Respiration is an important physiological process of a human body, and respiratory parameters are important physiological parameters for clinical monitoring; for example, when the patient is suffocated or even dies, the medical staff can be reminded of the state of the patient in time through the apnea alarm of the monitoring equipment, so that the delay of the optimal treatment time of the patient is avoided; in addition, accurate implementation of medical imaging and Radiotherapy usually requires the utilization of Respiratory information of a patient, such as a four-dimensional CT imaging technology (4D-CT) corresponding to a Respiratory phase, a Respiratory-Gated Radiotherapy technology (Respiratory-Gated Radiotherapy) and the like, and accurate acquisition of the Respiratory information of the patient (such as the Respiratory phase, a Respiratory cycle and the like) is an important factor for determining imaging or treatment effects.
In the clinical medical imaging and radiotherapy at present, the most widely applied method for acquiring the respiratory information of a patient is as follows: the breathing information is acquired by observing the fluctuation of the abdomen (or markers on the abdomen) directly or indirectly (by placing markers) in an optical tracking manner. The main disadvantages of using this method to obtain patient respiratory information are: in the supine position, the muscle and fat of the abdomen of the human body move during breathing, the surface of the abdomen is not smooth, the signal acquisition mode based on the surface of the abdomen is not stable, and meanwhile, the accuracy, reliability and repeatability of the respiratory information acquisition are seriously disturbed by the problems of personal difference and measurement position dependence.
Disclosure of Invention
The invention provides a method and a system for acquiring respiratory information, which are used for acquiring the respiratory information by acquiring the body surface pressure change caused by the muscle movement of a plurality of parts when a human body breathes, and improving the accuracy and the reliability of respiratory information acquisition.
The invention provides a method for acquiring respiratory information, which comprises the following steps:
acquiring pressure signals corresponding to a plurality of different body parts of a target human body according to a preset pressure acquisition mode;
carrying out signal processing on the acquired pressure signal, and analyzing to obtain a respiration signal corresponding to the target human body;
and acquiring the corresponding respiration intensity and respiration frequency of the target human body according to the obtained respiration signal.
Further, the plurality of different body parts includes:
the back, waist and chest of the target human body.
Further, the preset pressure acquisition mode comprises:
for the pressure signal acquisition of the back and the waist, the following acquisition modes can be adopted: arranging a pressure sensor on the back of a target human body, or arranging a wearable pressure sensing device on the target human body, or enabling the target human body to lie on a lying body plate device provided with the pressure sensor;
for the pressure signal acquisition of the chest, the following acquisition modes can be adopted: a pressure sensor is arranged on the chest of the target human body, or a wearable pressure sensing device is arranged on the target human body.
Further, the signal processing is performed on the acquired pressure signal, and a respiration signal corresponding to the target human body is obtained through analysis, including:
performing analog-to-digital conversion on the acquired pressure signals, and converting the acquired dynamic pressure signals into corresponding digital signals;
and carrying out filtering processing on the converted digital signal by using a band-pass filter, eliminating low-frequency and high-frequency noise interference, and obtaining a respiratory signal corresponding to the target human body.
Further, the obtaining of the breathing intensity and the breathing frequency corresponding to the target human body according to the obtained breathing signal includes:
carrying out spectrum analysis on the respiratory signal according to the instantaneous amplitude of the respiratory signal obtained by the obtained respiratory signal to obtain the instantaneous frequency of the respiratory signal;
and respectively carrying out filtering processing on the instantaneous amplitude and the instantaneous frequency to obtain the corresponding breathing intensity and breathing frequency of the target human body.
Corresponding to the method for acquiring respiratory information provided by the above embodiment, an embodiment of the present invention further provides a system for acquiring respiratory information, where the system for acquiring respiratory information includes:
the signal acquisition module is used for acquiring pressure signals corresponding to a plurality of different body parts of a target human body according to a preset pressure acquisition mode;
the signal processing module is used for carrying out signal processing on the acquired pressure signal and analyzing the pressure signal to obtain a respiration signal corresponding to the target human body;
and the information acquisition module is used for acquiring the respiratory intensity and respiratory frequency corresponding to the target human body according to the acquired respiratory signal.
Further, the plurality of different body parts includes:
the back, waist and chest of the target human body.
Further, the preset pressure acquisition mode comprises:
for the pressure signal acquisition of the back and the waist, the following acquisition modes can be adopted: arranging a pressure sensor on the back of a target human body, or arranging a wearable pressure sensing device on the target human body, or enabling the target human body to lie on a lying body plate device provided with the pressure sensor;
for the pressure signal acquisition of the chest, the following acquisition modes can be adopted: a pressure sensor is arranged on the chest of the target human body, or a wearable pressure sensing device is arranged on the target human body.
Further, the signal processing module is configured to:
performing analog-to-digital conversion on the acquired pressure signals, and converting the acquired dynamic pressure signals into corresponding digital signals;
and carrying out filtering processing on the converted digital signal by using a band-pass filter, eliminating low-frequency and high-frequency noise interference, and obtaining a respiratory signal corresponding to the target human body.
Further, the information acquisition module is configured to:
carrying out spectrum analysis on the respiratory signal according to the instantaneous amplitude of the respiratory signal obtained by the obtained respiratory signal to obtain the instantaneous frequency of the respiratory signal;
and respectively carrying out filtering processing on the instantaneous amplitude and the instantaneous frequency to obtain the corresponding breathing intensity and breathing frequency of the target human body.
In an embodiment of the present invention, obtaining the respiration intensity and the respiration frequency corresponding to the target human body may further be implemented as:
acquiring pressure signals corresponding to a plurality of different body parts of a target human body according to a preset pressure acquisition mode;
carrying out signal processing on the acquired pressure signal, and analyzing to obtain a respiration signal corresponding to the target human body;
and acquiring the corresponding respiration intensity and respiration frequency of the target human body according to the obtained respiration signal. The method and the system for acquiring the respiratory information can achieve the following beneficial effects:
acquiring pressure signals corresponding to a plurality of different body parts of a target human body respectively according to a preset pressure acquisition mode; carrying out signal processing on the acquired pressure signal, and analyzing to obtain a respiration signal corresponding to the target human body; acquiring the corresponding respiration intensity and respiration frequency of the target human body according to the acquired respiration signal; the method has the advantages that more accurate breathing information is acquired by acquiring the body surface pressure signals of multiple parts of the human body, the accuracy and the reliability of acquiring the breathing information are improved, and the acquisition of the breathing information is further enabled to have repeatability; in addition, the technical scheme that the body surface pressure information of the target human body during breathing is collected at multiple points simultaneously and correlation analysis is carried out by matching human anatomy is adopted, and individual breathing information such as the breathing mode of the target human body and the participation degree of organ muscles can be further obtained.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described below by means of the accompanying drawings and examples.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic flow chart diagram illustrating one embodiment of a method for obtaining respiratory information in accordance with the present invention;
FIG. 2 is a schematic flow chart diagram illustrating one embodiment of step S20 in the embodiment of FIG. 1 of a method for obtaining respiratory information according to the present invention;
FIG. 3 is a schematic flow chart diagram illustrating one embodiment of step S30 in the embodiment of FIG. 1 of a method for obtaining respiratory information according to the present invention;
fig. 4 is a functional block diagram of an embodiment of a respiratory information acquisition system according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The invention provides a method and a system for acquiring respiratory information, wherein when a human body breathes, the contraction and the relaxation of a lung are mainly realized by the cooperative motion of a plurality of muscles around the lung, particularly muscle groups at two sides of a spine (such as intercostal muscles, upper back saw muscles and lower back saw muscles), back muscle groups, abdomen muscle groups, chest muscle groups and the like, the motion of the muscles can cause the change of body surface pressure, and the pressure change can be related to the respiratory information of the human body after being processed and analyzed. Based on the thought, the method and the system for acquiring the respiratory information acquire the respiratory information corresponding to the human body by acquiring the change information of the body surface pressure caused by the muscle movement of a plurality of parts (such as the back, the chest and the waist) when the human body breathes, so that the accuracy and the reliability of the acquisition of the respiratory information are improved; in addition, the technical scheme that the body surface pressure information of the target human body during breathing is collected at multiple points simultaneously and correlation analysis is carried out by matching human anatomy is adopted, and individual breathing information such as the breathing mode of the target human body and the participation degree of organ muscles can be further obtained.
As shown in fig. 1, fig. 1 is a schematic flow chart of an embodiment of a method for acquiring respiratory information according to the present invention; a method of acquiring respiratory information of the present invention may be implemented as steps S10-S30 described as follows:
step S10, collecting pressure signals corresponding to a plurality of different body parts of a target human body according to a preset pressure collecting mode;
in the embodiment of the present invention, a system for acquiring respiratory information (hereinafter, referred to as "system") acquires pressure signals from a plurality of different body parts of a target human body according to a preset pressure acquisition mode according to the type of a pressure sensor. For example, pressure signals are acquired from the back, waist and chest of the subject person. In the embodiment of the present invention, the pressure sensor configured for the target human body includes, but is not limited to: patch type pressure sensor, namely: the patch type pressure sensor can be attached to a corresponding part of a target human body, and meanwhile, fixing equipment such as a net body and a bridle can be used for fixing the patch type pressure sensor in a matching manner; alternatively, a wearable pressure sensing device; alternatively, a recumbent board device (such as a board or bed, etc.) with a pressure sensor.
In a preferred embodiment of the present invention, the system can acquire the pressure signals of different body parts of the target human body by adopting the following pressure acquisition modes:
for the pressure signal acquisition of the back and the waist, the following acquisition modes can be adopted: arranging a pressure sensor on the back of a target human body, or arranging a wearable pressure sensing device on the target human body, or enabling the target human body to lie on a lying body plate device (such as a plate body, a bed and the like) provided with the pressure sensor;
for the pressure signal acquisition of the chest, the following acquisition modes can be adopted: arranging a pressure sensor on the chest of a target human body, for example, attaching the pressure sensor on the chest of the target human body and fixing the patch type pressure sensor at a corresponding position of the human body by matching with a fixing device such as a net body, a bridle and the like; or, the wearable pressure sensing device is configured on the target human body; such as a vest provided with pressure sensors, etc.
Step S20, processing the collected pressure signals, and analyzing to obtain breathing signals corresponding to the target human body;
according to the acquired pressure signal, the system performs analog-to-digital conversion on the pressure signal, for example, performs analog-to-digital conversion on an analog-to-digital signal by using a multi-bit analog-to-digital converter with at least 16 bits, that is, converts the acquired analog pressure signal into a digital signal, and performs signal processing on the converted digital signal, for example, performs smoothing filtering processing on the digital signal to remove noise influence, thereby analyzing and obtaining a respiratory signal corresponding to the target human body.
And step S30, acquiring the corresponding respiration intensity and respiration frequency of the target human body according to the obtained respiration signal.
And aiming at the obtained respiratory signal, the system performs signal processing on the respiratory signal to obtain waveform data corresponding to the respiratory signal, and obtains the respiratory intensity and respiratory frequency corresponding to the target human body according to the waveform data of the respiratory signal. For example, the peak value and the trough value of the waveform of the respiration signal are acquired according to the waveform data of the respiration signal, and the corresponding respiration frequency is calculated according to the peak value and the trough value.
In a preferred embodiment of the present invention, as shown in fig. 2, fig. 2 is a schematic flow chart of an implementation of step S20 in the embodiment of fig. 1 in a respiratory information acquisition method according to the present invention; in the embodiment of fig. 1, "step S20, performing signal processing on the acquired pressure signal, and analyzing to obtain the respiration signal corresponding to the target human body", may be further implemented as steps S21-S22 described in fig. 2:
step S21, carrying out analog-to-digital conversion on the collected pressure signals, and converting the collected dynamic pressure signals into corresponding digital signals;
and step S22, filtering the converted digital signal by using a band-pass filter, eliminating low-frequency and high-frequency noise interference, and obtaining a respiratory signal corresponding to the target human body.
In the embodiment of the invention, the digital signal obtained by converting the acquired pressure signal is filtered by a band-pass filter, and the low-frequency and high-frequency noise interference is eliminated, so that the processed respiratory signal is obtained. The passband range of the bandpass filter may be configured according to clinical or specific application scenarios, which is not specifically limited in the embodiment of the present invention. Further, the bandpass filter used in the embodiment of the present invention is a digital bandpass filter.
In a preferred embodiment of the present invention, as shown in fig. 3, fig. 3 is a schematic flow chart of an implementation of step S30 in the embodiment of fig. 1 in a respiratory information acquisition method according to the present invention; in the embodiment of fig. 1, "step S30, obtaining the respiration intensity and the respiration frequency corresponding to the target human body according to the obtained respiration signal", may be further implemented as steps S31-S32 described in fig. 3:
step S31, carrying out spectrum analysis on the respiratory signal according to the instantaneous amplitude of the respiratory signal obtained by the obtained respiratory signal to obtain the instantaneous frequency of the respiratory signal;
and S32, respectively filtering the instantaneous amplitude and the instantaneous frequency to obtain the respiratory intensity and the respiratory frequency corresponding to the target human body. In the embodiment of the invention, aiming at the respiratory signal obtained after the noise reduction treatment, a system acquires a time domain signal of the respiratory signal and performs spectrum analysis on the time domain signal to obtain an instantaneous amplitude and an instantaneous frequency corresponding to the respiratory signal; as corresponding instantaneous breathing intensity and instantaneous breathing frequency; and respectively carrying out digital low-pass filtering processing on the obtained instantaneous respiration intensity and instantaneous respiration frequency to obtain average respiration intensity and average respiration frequency, and taking the obtained average respiration intensity and average respiration frequency as the respiration intensity and respiration frequency corresponding to the target human body.
In the embodiment of the invention, when the obtained instantaneous respiration intensity and instantaneous respiration frequency are subjected to digital low-pass filtering, a signal average filtering technology or an equivalent infinite impulse response low-pass filter is adopted; those skilled in the art will appreciate that the filtering process may also employ a median average filtering technique or a weighted median filtering technique, or a general low-pass filtering technique.
Since the person may affect the breathing when speaking, it is necessary to remove this part of the signal so as to make the detection of the breathing signal more accurate, in an embodiment of the present invention, the pressure signal is further processed in the following manner to obtain the breathing signal corresponding to the target human body:
identifying a pressure signal period of a target human utterance contained in a pressure signal;
removing the signal of the pressure signal time period of the speaking of the target human body from the pressure signal to obtain the pressure signal of the target human body when the target human body is quiet;
processing the pressure signal when the target human body is quiet to obtain a breathing signal corresponding to the target human body;
the identification of the pressure signal time interval of the target human speaking contained in the pressure signal specifically comprises the following steps:
selecting the pressure signals of a plurality of individuals during silence and the pressure signals during speaking to perform spectrum analysis, and taking the frequency spectrums of the pressure signals during silence and the frequency spectrums of the pressure signals during speaking as training set training support vector machines;
and performing time-frequency analysis on the pressure signal of the target human body to obtain the change relation of the frequency along with the time, identifying the result of the time-frequency analysis on the pressure signal through a support vector machine, and taking the time period as the speaking pressure signal time period of the target human body when the pressure signal of a certain time period is identified as the speaking pressure signal.
Since different individuals, especially individual sizes, have an influence on acquiring the respiratory data by the pressure data, in order to reduce the influence and improve the accuracy of the acquired respiratory data, in an embodiment of the present invention, the pressure signal when the target human body is quiet is processed to obtain the respiratory signal corresponding to the target human body, specifically:
selecting pressure signals of a plurality of individuals in quiet and corresponding respiratory signals obtained by measuring the individuals;
carrying out spectrum analysis on the pressure signal of each individual in the quiet state to obtain the spectrum data of the pressure signal of each individual in the quiet state;
performing cluster analysis on the relationship (such as the ratio of pressure to breathing intensity) between the spectral data of the pressure signal at rest and the corresponding breathing signal of each individual to obtain a cluster result of the relationship between the spectral data of the pressure signal at rest and the corresponding breathing signal;
for each classification of the clustering results, obtaining the body type (height, waist length, fat rate and the like) of each individual in the classification, and taking the average value of body type data as a body type representative value of the corresponding classification;
determining the classification of the target human body according to the similarity (such as the minimum weighted average of the height difference, the waist circumference difference and the fat rate difference) between the body type of the target human body and the body type representative value of each classification;
carrying out spectrum analysis on the pressure signal of the target human body in the quiet state to obtain the spectrum data of the pressure signal of the target human body, and then obtaining the breathing intensity of the target human body according to the relation between the spectrum data of the classified pressure signal of the target human body in the quiet state and the corresponding breathing signal;
and taking the frequency corresponding to the amplitude peak value in the frequency spectrum data of the pressure signal of the target human body as the respiratory frequency of the target human body.
The method for acquiring the respiratory information of the invention adopts the sampling according to the preset pressure
The method comprises the steps of collecting pressure signals corresponding to a plurality of different body parts of a target human body respectively; carrying out signal processing on the acquired pressure signal, and analyzing to obtain a respiration signal corresponding to the target human body; acquiring the corresponding respiration intensity and respiration frequency of the target human body according to the acquired respiration signal; the method has the advantages that more accurate breathing information is acquired by acquiring the body surface pressure signals of multiple parts of the human body, the accuracy and the reliability of acquiring the breathing information are improved, and the acquisition of the breathing information is further enabled to have repeatability; in addition, the technical scheme that the body surface pressure information of the target human body during breathing is collected at multiple points simultaneously and correlation analysis is carried out by matching human anatomy is adopted, and individual breathing information such as the breathing mode of the target human body and the participation degree of organ muscles can be further obtained.
Based on the method for acquiring the respiratory information described in fig. 1, fig. 2 and fig. 3, the invention also provides a system for acquiring the respiratory information; the respiratory information acquisition system can implement the respiratory information acquisition method described in fig. 1, fig. 2 and fig. 3, so as to achieve the purpose of acquiring respiratory information by acquiring the way that the body surface pressure changes are caused by the muscle movements of a plurality of parts when a human body breathes; as shown in fig. 4, a respiratory information acquisition system of the present invention includes:
the signal acquisition module 100 is configured to acquire pressure signals corresponding to a plurality of different body parts of a target human body according to a preset pressure acquisition mode;
the signal processing module 200 is configured to perform signal processing on the acquired pressure signal, and analyze the pressure signal to obtain a respiration signal corresponding to the target human body;
and the information acquisition module 300 is configured to acquire the respiratory intensity and respiratory frequency corresponding to the target human body according to the acquired respiratory signal.
In a preferred embodiment of the present invention, the plurality of different body parts comprises:
the back, waist and chest of the target human body.
In a preferred embodiment of the present invention, the preset pressure collecting manner includes:
for the pressure signal acquisition of the back and the waist, the following acquisition modes can be adopted: arranging a pressure sensor on the back of a target human body, or arranging a wearable pressure sensing device on the target human body, or enabling the target human body to lie on a lying body plate device provided with the pressure sensor;
for the pressure signal acquisition of the chest, the following acquisition modes can be adopted: a pressure sensor is arranged on the chest of the target human body, or a wearable pressure sensing device is arranged on the target human body.
In a preferred embodiment of the present invention, the signal processing module 200 is configured to:
performing analog-to-digital conversion on the acquired pressure signals, and converting the acquired dynamic pressure signals into corresponding digital signals;
and carrying out filtering processing on the converted digital signal by using a band-pass filter, eliminating low-frequency and high-frequency noise interference, and obtaining a respiratory signal corresponding to the target human body.
In a preferred embodiment of the present invention, the information obtaining module 300 is configured to:
carrying out spectrum analysis on the respiratory signal according to the instantaneous amplitude of the respiratory signal obtained by the obtained respiratory signal to obtain the instantaneous frequency of the respiratory signal;
and respectively carrying out filtering processing on the instantaneous amplitude and the instantaneous frequency to obtain the corresponding breathing intensity and breathing frequency of the target human body.
The system for acquiring the respiratory information acquires pressure signals corresponding to a plurality of different body parts of a target human body respectively according to a preset pressure acquisition mode; carrying out signal processing on the acquired pressure signal, and analyzing to obtain a respiration signal corresponding to the target human body; acquiring the corresponding respiration intensity and respiration frequency of the target human body according to the acquired respiration signal; the method has the advantages that more accurate breathing information is acquired by acquiring the body surface pressure signals of multiple parts of the human body, the accuracy and the reliability of acquiring the breathing information are improved, and the acquisition of the breathing information is further enabled to have repeatability; in addition, the technical scheme that the body surface pressure information of the target human body during breathing is collected at multiple points simultaneously and correlation analysis is carried out by matching human anatomy is adopted, and individual breathing information such as the breathing mode of the target human body and the participation degree of organ muscles can be further obtained.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. A method for acquiring respiratory information, the method comprising:
acquiring pressure signals corresponding to a plurality of different body parts of a target human body according to a preset pressure acquisition mode;
carrying out signal processing on the acquired pressure signal, and analyzing to obtain a respiration signal corresponding to the target human body;
acquiring the corresponding respiration intensity and respiration frequency of the target human body according to the acquired respiration signal;
according to the obtained respiratory signal, acquiring the respiratory intensity and respiratory frequency corresponding to the target human body, and the method comprises the following steps:
carrying out spectrum analysis on the respiratory signal according to the instantaneous amplitude of the respiratory signal obtained by the obtained respiratory signal to obtain the instantaneous frequency of the respiratory signal;
respectively filtering the instantaneous amplitude and the instantaneous frequency to obtain the respiratory intensity and the respiratory frequency corresponding to the target human body;
the method comprises the following steps of collecting pressure signals, carrying out signal processing on the collected pressure signals to obtain breathing signals corresponding to a target human body, and specifically comprising the following steps:
identifying a pressure signal period of a target human utterance contained in a pressure signal;
removing the signal of the pressure signal time period of the speaking of the target human body from the pressure signal to obtain the pressure signal of the target human body when the target human body is quiet;
processing the pressure signal when the target human body is quiet to obtain a breathing signal corresponding to the target human body;
the identification of the pressure signal time interval of the target human speaking contained in the pressure signal specifically comprises the following steps:
selecting the pressure signals of a plurality of individuals during silence and the pressure signals during speaking to perform spectrum analysis, and taking the frequency spectrums of the pressure signals during silence and the frequency spectrums of the pressure signals during speaking as training set training support vector machines;
performing time-frequency analysis on the pressure signal of the target human body to obtain the change relation of frequency along with time, identifying the result of the time-frequency analysis on the pressure signal through a support vector machine, and when the pressure signal in a certain time period is identified as the pressure signal in the speaking process, taking the time period as the speaking pressure signal time period of the target human body;
the method comprises the following steps of processing a pressure signal when a target human body is quiet to obtain a respiratory signal corresponding to the target human body, and specifically comprises the following steps:
selecting pressure signals of a plurality of individuals in quiet and corresponding respiratory signals obtained by measuring the individuals;
carrying out spectrum analysis on the pressure signal of each individual in the quiet state to obtain the spectrum data of the pressure signal of each individual in the quiet state;
clustering analysis is carried out on the relation between the frequency spectrum data of the pressure signal of each individual in the quiet state and the corresponding breathing signal, and a clustering result of the relation between the frequency spectrum data of the pressure signal in the quiet state and the corresponding breathing signal is obtained;
obtaining the body type of each individual in the classification for each classification of the clustering results, and taking the average value of body type data as a body type representative value of the corresponding classification;
determining the classification of the target human body according to the similarity of the body type of the target human body and the body type representative value of each classification;
carrying out spectrum analysis on the pressure signal of the target human body in the quiet state to obtain the spectrum data of the pressure signal of the target human body, and then obtaining the breathing intensity of the target human body according to the relation between the spectrum data of the classified pressure signal of the target human body in the quiet state and the corresponding breathing signal;
and taking the frequency corresponding to the amplitude peak value in the frequency spectrum data of the pressure signal of the target human body as the respiratory frequency of the target human body.
2. The method of acquiring respiratory information of claim 1, wherein the plurality of different body parts comprises:
the back, waist and chest of the target human body.
3. The method for acquiring respiratory information according to claim 1 or 2, wherein the preset pressure acquisition mode comprises:
for the pressure signal acquisition of the back and the waist, the following acquisition modes can be adopted: arranging a pressure sensor on the back of a target human body, or arranging a wearable pressure sensing device on the target human body, or enabling the target human body to lie on a lying body plate device provided with the pressure sensor;
for the pressure signal acquisition of the chest, the following acquisition modes can be adopted: a pressure sensor is arranged on the chest of the target human body, or a wearable pressure sensing device is arranged on the target human body.
4. The method for acquiring respiratory information according to claim 1 or 2, wherein the signal processing of the acquired pressure signal and the analysis of the acquired pressure signal to obtain the respiratory signal corresponding to the target human body comprise:
performing analog-to-digital conversion on the acquired pressure signals, and converting the acquired dynamic pressure signals into corresponding digital signals;
and carrying out filtering processing on the converted digital signal by using a band-pass filter, eliminating low-frequency and high-frequency noise interference, and obtaining a respiratory signal corresponding to the target human body.
5. A system for acquiring respiratory information, the system comprising:
the signal acquisition module is used for acquiring pressure signals corresponding to a plurality of different body parts of a target human body according to a preset pressure acquisition mode;
the signal processing module is used for carrying out signal processing on the acquired pressure signal and analyzing the pressure signal to obtain a respiration signal corresponding to the target human body;
the information acquisition module is used for acquiring the respiratory intensity and respiratory frequency corresponding to the target human body according to the acquired respiratory signal;
the information acquisition module is used for:
carrying out spectrum analysis on the respiratory signal according to the instantaneous amplitude of the respiratory signal obtained by the obtained respiratory signal to obtain the instantaneous frequency of the respiratory signal;
respectively filtering the instantaneous amplitude and the instantaneous frequency to obtain the respiratory intensity and the respiratory frequency corresponding to the target human body;
the method comprises the following steps of collecting pressure signals, carrying out signal processing on the collected pressure signals to obtain breathing signals corresponding to a target human body, and specifically comprising the following steps:
identifying a pressure signal period of a target human utterance contained in a pressure signal;
removing the signal of the pressure signal time period of the speaking of the target human body from the pressure signal to obtain the pressure signal of the target human body when the target human body is quiet;
processing the pressure signal when the target human body is quiet to obtain a breathing signal corresponding to the target human body;
the identification of the pressure signal time interval of the target human speaking contained in the pressure signal specifically comprises the following steps:
selecting the pressure signals of a plurality of individuals during silence and the pressure signals during speaking to perform spectrum analysis, and taking the frequency spectrums of the pressure signals during silence and the frequency spectrums of the pressure signals during speaking as training set training support vector machines;
performing time-frequency analysis on the pressure signal of the target human body to obtain the change relation of frequency along with time, identifying the result of the time-frequency analysis on the pressure signal through a support vector machine, and when the pressure signal in a certain time period is identified as the pressure signal in the speaking process, taking the time period as the speaking pressure signal time period of the target human body;
the method comprises the following steps of processing a pressure signal when a target human body is quiet to obtain a respiratory signal corresponding to the target human body, and specifically comprises the following steps:
selecting pressure signals of a plurality of individuals in quiet and corresponding respiratory signals obtained by measuring the individuals;
carrying out spectrum analysis on the pressure signal of each individual in the quiet state to obtain the spectrum data of the pressure signal of each individual in the quiet state;
clustering analysis is carried out on the relation between the frequency spectrum data of the pressure signal of each individual in the quiet state and the corresponding breathing signal, and a clustering result of the relation between the frequency spectrum data of the pressure signal in the quiet state and the corresponding breathing signal is obtained;
obtaining the body type of each individual in the classification for each classification of the clustering results, and taking the average value of body type data as a body type representative value of the corresponding classification;
determining the classification of the target human body according to the similarity of the body type of the target human body and the body type representative value of each classification;
carrying out spectrum analysis on the pressure signal of the target human body in the quiet state to obtain the spectrum data of the pressure signal of the target human body, and then obtaining the breathing intensity of the target human body according to the relation between the spectrum data of the classified pressure signal of the target human body in the quiet state and the corresponding breathing signal;
and taking the frequency corresponding to the amplitude peak value in the frequency spectrum data of the pressure signal of the target human body as the respiratory frequency of the target human body.
6. The respiratory information acquisition system as claimed in claim 5, wherein said plurality of different body parts comprises:
the back, waist and chest of the target human body.
7. The system for acquiring respiratory information according to claim 5 or 6, wherein the preset pressure acquisition mode comprises:
for the pressure signal acquisition of the back and the waist, the following acquisition modes can be adopted: arranging a pressure sensor on the back of a target human body, or arranging a wearable pressure sensing device on the target human body, or enabling the target human body to lie on a lying body plate device provided with the pressure sensor;
for the pressure signal acquisition of the chest, the following acquisition modes can be adopted: a pressure sensor is arranged on the chest of the target human body, or a wearable pressure sensing device is arranged on the target human body.
8. The system for acquiring respiratory information according to claim 5 or 6, wherein the signal processing module is configured to:
performing analog-to-digital conversion on the acquired pressure signals, and converting the acquired dynamic pressure signals into corresponding digital signals;
and carrying out filtering processing on the converted digital signal by using a band-pass filter, eliminating low-frequency and high-frequency noise interference, and obtaining a respiratory signal corresponding to the target human body.
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| CN110192862B (en) * | 2019-05-31 | 2023-10-31 | 长沙军民先进技术研究有限公司 | Radar-based non-contact human body respiration detection method and device |
| CN110946588B (en) * | 2019-11-29 | 2023-01-24 | 天津大学 | Wearable scoliosis breathing monitoring and correcting device and method |
| CN112598033B (en) * | 2020-12-09 | 2022-08-30 | 兰州大学 | Physiological signal processing method, device, equipment and storage medium |
| CN113082555A (en) * | 2021-05-07 | 2021-07-09 | 北京肿瘤医院(北京大学肿瘤医院) | Human body chest and abdomen compression monitoring system, method and application thereof |
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