CN107595294B - Method, device, equipment and storage medium for detecting swallowing function - Google Patents
Method, device, equipment and storage medium for detecting swallowing function Download PDFInfo
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Abstract
The invention discloses a method, a device, equipment and a storage medium for detecting swallowing function. The method specifically comprises the following steps: acquiring myooxygen data of set muscles when a target object to be detected executes swallowing action; comparing the myooxygen data with standard myooxygen data in the muscle oxygen model of the swallowing action, and determining whether the swallowing action of the set muscle is normal or not according to the comparison result. By adopting the method, the technical problem that the position of the damaged muscle cannot be detected and determined by the existing swallowing disorder diagnosis means can be solved.
Description
Technical Field
The invention relates to the technical field of biological medical treatment, in particular to a method, a device, equipment and a storage medium for detecting swallowing function.
Background
Swallowing is one of the basic functions of maintaining life health. The human body can complete the food acquisition and the nutrient absorption through the swallowing function. Generally, dysphagia refers to the complete inability or difficulty in delivering food from the mouth to the stomach smoothly through the esophagus. Dysphagia may affect patient ingestion and nutrient absorption, and may also cause aspiration of food into the trachea to cause aspiration pneumonia, and even life-threatening in severe cases. Therefore, the accurate diagnosis and treatment of dysphagia are essential.
The swallowing process involves the coordinated movement of many muscles, the balanced movement of the sensory and motor systems, and the neural activity of the cerebral cortex and some areas under the cortex. Dysphagia may result from damage to one or more stages of swallowing due to central or neurological damage associated with swallowing, possibly caused by a variety of factors. The existing swallowing disorder diagnosis means mainly comprise the following means: barium swallow radiography, laryngoscope detection, pharyngeal manometry, magnetic resonance imaging and the like. However, the above-mentioned means are complicated to operate and often fail to accurately determine the location of the lesion. Therefore, in the subsequent treatment, the rehabilitation therapist can only select the possibly damaged muscle according to experience to stimulate the muscle for rehabilitation training, or stimulate the whole muscle group involved in the swallowing process to stimulate the muscle for rehabilitation training. However, the above-mentioned therapeutic means are not highly targeted, and the therapeutic effect is often not satisfactory.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, an apparatus, a device and a storage medium for detecting a swallowing function, so as to solve the technical problem that the existing swallowing disorder diagnosis means cannot detect and determine the position of the damaged muscle.
In a first aspect, an embodiment of the present invention provides a method for detecting swallowing function, including:
acquiring myooxygen data of set muscles when a target object to be detected executes swallowing action;
and comparing the myooxygen data with standard myooxygen data in a swallowing action myooxygen model, and determining whether the swallowing action of the set muscle is normal or not according to a comparison result.
In a second aspect, an embodiment of the present invention further provides an apparatus for detecting swallowing function, including:
the data acquisition module is used for acquiring myooxygen data of set muscles when the target object to be detected executes swallowing action;
and the result determining module is used for comparing the myooxygen data with standard myooxygen data in a swallowing action myooxygen model and determining whether the swallowing action of the set muscle is normal or not according to the comparison result.
In a third aspect, an embodiment of the present invention further provides an apparatus, including:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a method according to an embodiment of the present invention.
In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the method according to the embodiment of the present invention.
According to the method, the device, the equipment and the storage medium for detecting the swallowing function, provided by the embodiment of the invention, the muscle oxygen data of the set muscle when the obtained target object to be detected executes the swallowing action is compared with the standard muscle oxygen data in the muscle oxygen model of the swallowing action to determine the oxygen metabolism function of the set muscle, so that the technical means of the detection result of the swallowing action of the set muscle is obtained, the swallowing function detection result can be rapidly and accurately determined through the muscle oxygen data of the set muscle, wherein the muscle position and the abnormal muscle oxygen data of the abnormal muscle in the set muscle can be accurately determined through comparing with the standard muscle oxygen data in the muscle oxygen model of the swallowing action, the target direction is provided for the subsequent muscle rehabilitation treatment, and the treatment effect is improved.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments made with reference to the following drawings:
FIG. 1 is a flow chart of a method for detecting swallowing function according to an embodiment of the invention;
FIG. 2 is a flowchart of a method for detecting swallowing function according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an apparatus for detecting a swallowing function according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some but not all of the relevant aspects of the present invention are shown in the drawings.
Example one
Fig. 1 is a flowchart of a method for detecting swallowing function according to an embodiment of the present invention. The method for detecting the swallowing function provided by the embodiment may be performed by a device for detecting the swallowing function, and the device may be implemented by software and/or hardware. Referring to fig. 1, the method provided in this embodiment includes:
s110, muscle oxygen data of the set muscle when the target object to be detected executes swallowing action is obtained.
Generally, oxygen required in human metabolism is introduced into the blood of the human body through the respiratory system, and the transport of oxygen is performed by hemoglobin. Hemoglobin is the primary carrier of oxygen, and it consists of oxygenated hemoglobin and deoxygenated hemoglobin. As the aerobic metabolism status of the human body changes, the percentage of the oxygenated hemoglobin in the hemoglobin (i.e., the sum of the oxygenated and deoxygenated hemoglobin concentrations), i.e., the blood oxygen saturation, also changes. During exercise, the blood oxygen content (oxygen-containing hemoglobin concentration) in the muscle changes, and the oxygen metabolism status of local muscle can be reflected according to the blood oxygen content in the muscle, so that the exercise function of the muscle, the supply and utilization of oxygen in the muscle and the like can be confirmed according to the oxygen metabolism status of the muscle. In this embodiment, the muscle oxygen data is the blood oxygen content of the muscle. Further, the myooxygen data can be measured by polarographic electrode measurement, phosphorescence spectroscopy, nuclear magnetic resonance, near infrared detection, and the like. Optionally, in this embodiment, a near-infrared detection method is used to obtain the myooxygen data.
Specifically, the target object to be detected is a user who needs to detect the swallowing function. Wherein, the set muscle can be a muscle or a muscle group used when the target object to be measured performs the swallowing function. In the present embodiment, the setting of muscles is described by taking the swallowing muscle group as an example. Further, myooxygen data of the set muscle is acquired when the target object to be detected performs a swallowing action. Since the swallowing process is not a transient motion, there is a need to obtain myooxygen data of the setting muscle continuously and in real time during the swallowing process. In practical application, the target object to be detected may need to be swallowed for multiple times, and at this time, myooxygen data of muscles set in the multiple swallowing processes of the target object to be detected is continuously and real-timely acquired.
And S120, comparing the myooxygen data with standard myooxygen data in the muscle oxygen model of the swallowing action, and determining whether the swallowing action of the set muscle is normal or not according to the comparison result.
Specifically, the swallowing muscle-oxygen model refers to an oxygen metabolism model when the muscle performs swallowing under normal swallowing function. In general, the swallowing motor myooxygen model may correspond to multiple types of standard myooxygen data. Taking the muscle group performing the swallowing as an example, the standard myooxygen data included in the muscle oxygen model of the swallowing may include: at least one of standard myooxygen data of muscle groups during dry swallowing (i.e. without any swallow), standard myooxygen data at different swallowing capacities, standard myooxygen data at different viscosities of swallows, standard myooxygen data at different swallowing postures and the like. The swallowing detection method has the advantages that the practical situation of the target object to be detected can be considered, a proper swallowing detection scheme can be formulated, and an accurate swallowing detection result can be obtained.
Alternatively, the myooxygen data may be embodied in the form of a two-dimensional myooxygen profile and/or in the form of a myooxygen oxygenation parameter. Wherein, the two-dimensional myooxygen distribution map is used for drawing the dynamic change condition of the myooxygen in the muscle swallowing process according to the blood oxygen content in the myooxygen data. The muscle oxygen quantification parameter is to embody muscle oxygen data in a quantitative parameter form, and the distribution rule and characteristics of muscle oxygen in the muscle swallowing process can be determined according to the quantitative parameter. Specifically, when the myooxygen data is embodied in the form of a myooxygen distribution diagram, the standard myooxygen data in the swallowing myooxygen model is also embodied in the form of the myooxygen distribution diagram, at this time, the myooxygen distribution diagram of the set muscle is compared with the standard myooxygen distribution diagram to obtain a myooxygen difference area, and then the muscle position with myooxygen abnormality and corresponding abnormal data when the set muscle performs the swallowing action are determined according to the myooxygen difference area. When the myooxygen data are embodied in the form of myooxygen oxidation parameters, the standard myooxygen data in the swallowing action myooxygen model are also embodied in the form of myooxygen oxidation parameters, at the moment, the myooxygen oxidation parameters of the set muscle are compared with the standard myooxygen oxidation parameters, the myooxygen abnormal parameters in the process of executing the swallowing action by the set muscle are determined according to the comparison result, and the corresponding muscle abnormal position and the corresponding abnormal data are determined according to the myooxygen abnormal parameters.
Furthermore, after comparing the myooxygen data with the standard myooxygen data in the swallowing action myooxygen model, the oxygen metabolism function detection result of the set muscle can be obtained. The oxygen metabolism function detection result can embody the myooxygen information in the swallowing process of the set muscle, and then the myooxygen abnormal data and the muscle position corresponding to the abnormal myooxygen are determined. And then determining whether the swallowing action of the set muscle of the target object to be detected is normal or not according to the oxygen metabolism function detection result, wherein if the swallowing action is normal, the swallowing function is normal, and otherwise, the swallowing function is abnormal. Optionally, the swallowing function test result may be presented in the form of a statement of health. Wherein, the detection result of each muscle is recorded, the swallowing function is evaluated, and the swallowing disorder is diagnosed, so that the target object to be detected can clearly swallow the detection result.
The technical scheme provided by the embodiment compares the acquired myooxygen data of the set muscle when the target object to be detected executes the swallowing action with the standard myooxygen data in the muscle oxygen model of the swallowing action to determine the oxygen metabolism function of the set muscle, and further obtains the technical means of the detection result of the swallowing action of the set muscle, thereby realizing the rapid and accurate determination of the swallowing function detection result through the myooxygen data of the set muscle, wherein the muscle position and the abnormal myooxygen data of the abnormal myooxygen can be accurately, continuously and timely determined through comparison with the standard myooxygen data in the muscle oxygen model of the swallowing action, a target direction is provided for the follow-up muscle rehabilitation treatment, and the treatment effect is improved.
Example two
Fig. 2 is a flowchart of a method for detecting swallowing function according to a second embodiment of the present invention. The method provided by the embodiment is embodied on the basis of the embodiment. Specifically, referring to fig. 2, the method provided in this embodiment specifically includes:
s210, acquiring reference myooxygen data of a set number of standard target objects under different swallowing acquisition schemes.
Specifically, the standard target object refers to an object with normal muscle motor function in the swallowing process, namely, an object with normal swallowing function. The set number can be set according to actual conditions. Alternatively, the standard target objects are classified in advance, for example, into adult females, adult males, children, and the like, and the reference myooxygen data of the standard target objects under different classifications is acquired.
Dysphagia may occur at different sites of swallowing and with different grades of impairment. Generally, corresponding detection plans need to be formulated according to different dysphagia grades. Wherein the detection plan may include: the method comprises at least one detection scheme of muscle group detection during dry swallowing, muscle group detection under different swallowing capacities, muscle group detection during different viscosities of swallows, muscle group detection under different swallowing postures and the like. Different detection schemes correspond to different swallowing acquisition schemes, so in order to establish an accurate swallowing action myooxygen model, the swallowing acquisition schemes need to be determined for the different detection schemes, and reference myooxygen data of a standard target object is acquired according to the swallowing acquisition schemes.
Specifically, the specific acquisition mode of the reference myooxygen data is the same as the acquisition mode of the myooxygen data of the target object to be detected.
Optionally, for each standard target object, under the same acquisition scheme, the reference myooxygen data may be acquired multiple times, the multiple reference myooxygen data are collected, and the reference myooxygen data with a larger error is removed, so as to obtain the reference myooxygen data of the standard target object under the current acquisition scheme.
And S220, determining standard myooxygen data under different swallowing acquisition schemes according to the reference myooxygen data and establishing a swallowing action myooxygen model.
Specifically, standard myooxygen data under different acquisition schemes are determined according to the reference myooxygen data of the standard target objects with set quantity, and corresponding swallowing action myooxygen models are established.
Furthermore, when the standard myooxygen data is determined according to the reference myooxygen data, preprocessing such as filtering and interference elimination is firstly carried out on the reference myooxygen data so as to improve the quality of the reference myooxygen data. The specific way of filtering and removing interference can be set according to actual conditions.
Optionally, the reference myooxygen data is processed by using a digital signal processing method to obtain an effective characteristic value of the reference myooxygen data, where the effective characteristic value may be a root mean square, an energy value, and/or a mean value of the reference myooxygen data. The specific algorithm of the valid eigenvalues is not limited in this embodiment. Further, the effective characteristic values of the same type of standard target objects obtained under the same acquisition scheme are further processed to obtain the effective characteristic values of the muscles in the swallowing muscle group (set muscles) of the specific same type of standard target objects under the same acquisition scheme at all times in the swallowing process. The effective eigenvalues obtained for different muscle positions may be different. When the effective characteristic values are further processed, the effective characteristic values with large differences may be removed and then averaged, or the effective characteristic values may be subjected to weighted average processing, and the like. Further, a mapping color table is preset, and the mapping color table represents a mapping relation between the effective characteristic value and the display color data. The display color data is a color value, which may be a red, blue, green color standard value. And determining display color data corresponding to effective characteristic values of the set muscle at each moment in the swallowing process according to the mapping color table, drawing a two-dimensional myooxygen distribution diagram according to the display color data, recording the two-dimensional myooxygen distribution diagram as a standard myooxygen distribution diagram, and determining the standard myooxygen distribution diagram as standard myooxygen data. The muscular oxygen change condition of each muscle in the deglutition muscle group of the same type of standard target objects can be dynamically reflected according to the standard muscular oxygen distribution map. Optionally, the preprocessed data is analyzed by using a statistical method, for example, the reference myooxygen data is subjected to data inspection, after the data is determined to be complete, the reference myooxygen data is processed by using multi-factor analysis of variance, linear regression, stepwise regression and other manners, so that the distribution rule and characteristics of the myooxygen of the muscles in the swallowing process are set under the same acquisition scheme for the same type of standard target object, the distribution rule and characteristics are expressed in the form of quantitative parameters and recorded as standard myooxygen quantization parameters, and the standard myooxygen quantization parameters are recorded as standard muscle data. The specific algorithms, variables and constants involved in data inspection, multifactor analysis of variance, linear regression and stepwise regression can be set according to actual conditions. In practical application, standard myooxygen data in the muscle oxygen model of the swallowing action can be determined as a standard myooxygen distribution map and/or a standard myooxygen oxidation parameter according to practical conditions.
Furthermore, after standard myooxygen data under each acquisition scheme is determined, a swallowing action myooxygen model can be constructed. Standard myooxygen data for each acquisition protocol was included in the swallowing motor myooxygen model. Namely, the swallowing motor myooxygen model can be considered as a set of standard myooxygen data, and the mapping of the acquisition protocol to the standard myooxygen data is recorded.
For example, standard myooxygen data corresponding to muscle group detection at different swallowing capacities is determined by a certain category of standard target objects and a swallowing motor myooxygen model is established. At this time, different swallowing capacity levels can be set, reference myooxygen data of each standard target object under different swallowing capacity levels are collected, the reference myooxygen data are processed to obtain a standard myooxygen distribution map and standard myooxygen oxidation parameters under different swallowing capacity levels, further, a swallowing action myooxygen model is established, and at this time, the standard myooxygen data under the model are the standard myooxygen distribution map and the standard myooxygen oxidation parameters under different swallowing capacity levels.
And S230, acquiring optical information of set muscles when the target object to be detected acquired by the plurality of near-infrared probes executes swallowing action.
In the present embodiment, a near-infrared detection method is used to acquire optical information of a target object to be detected. The near-infrared detection method is a nondestructive diagnosis technology, and mainly utilizes the characteristics of high scattering and low absorption of biological tissues in a near-infrared band (700nm-900nm) to ensure that near-infrared light has good penetrating power on the biological tissues, and simultaneously, the difference exists between the absorption spectra of oxyhemoglobin and oxyhemoglobin in the near-infrared band, so that the change of the concentration of the oxyhemoglobin and deoxyhemoglobin can cause the change of the absorption spectra of the tissues, and therefore, the myooxygen data of set muscles in the swallowing process can be acquired through the near-infrared detection method.
Specifically, when optical information of muscles set in the swallowing process of the target object to be detected is collected through a near-infrared detection method, the number of the near-infrared probes can be set according to actual conditions, and the number of the near-infrared probes corresponding to different target objects to be detected can be different. Generally, the number of the near infrared probes can be set between 30 and 60 according to actual conditions. Further, the near-infrared probe is placed on a muscle or a muscle group used when performing a swallowing function, i.e., a deglutition muscle group. Optionally, the near-infrared probes are arranged on the deglutition muscle group in an array form, wherein the distance between the transverse near-infrared probes, the distance between the longitudinal near-infrared probes and the specific distribution rule of the array can be set according to the actual situation. The above-described lateral and longitudinal directions are relative concepts, not absolute concepts.
Furthermore, an acquisition scheme is formulated according to the actual situation of the target object to be detected, the number of the near-infrared probes is determined according to the acquisition scheme, and the near-infrared probes in the number are placed on the deglutition muscle group in an array mode. Optical information of the set muscle in the swallowing execution process is collected through the near-infrared probe, and the optical information collected by the near-infrared probe is obtained. The optical information may include, among others: light intensity values and/or light density values, etc. Generally, the near-infrared probe can continuously acquire optical information during swallowing, and in this case, the optical information acquired by the near-infrared probe can be continuously acquired, and the optical information can also be acquired according to sampling interval.
And S240, determining muscle oxygen data of the set muscle according to the optical information.
Specifically, the optical density variation is determined according to the optical information, and the specific determination method is not limited in this embodiment, for example, the optical density value is determined according to a ratio of the emergent light intensity to the incident light intensity, and the variation of the optical density value from the reference density value at different times is determined according to the pre-selected reference density value, so as to obtain the optical density variation. Since the concentration changes of oxygenated hemoglobin and deoxygenated hemoglobin can change with the function and metabolic condition of biological tissues during swallowing of the set muscle, and the water and fat concentrations in the set muscle are relatively stable, the change of optical density is mainly caused by the change of the content of the oxygenated hemoglobin and the deoxygenated hemoglobin, and accordingly, the relation between the change of optical density and the change of oxygenated hemoglobin and deoxygenated hemoglobin is determined, a related relation equation is established, and coefficients in the relation equation are determined according to actual conditions. Further, muscle oxygen data of the muscle is determined and set through a relational equation.
And S250, obtaining a swallowing acquisition scheme determining instruction, and calling corresponding standard myooxygen data in the swallowing action myooxygen model based on the determining instruction.
Because the swallowing disorders of different target objects to be detected may be different, the detector needs to determine a corresponding acquisition scheme according to the actual situation of the target object to be detected. The same target object to be detected can correspond to a plurality of acquisition schemes. If a certain target object to be detected corresponds to two detection schemes of muscle group detection under different swallowing capacities and muscle group detection when swallows have different viscosities, at the moment, the acquisition scheme is the acquisition scheme corresponding to the two detection schemes.
Further, when an acquisition scheme determining instruction sent by the examiner is received, the acquisition scheme determining instruction is analyzed to obtain an acquisition scheme contained in the determining instruction, and corresponding standard myooxygen data is called in the swallowing action myooxygen model.
And S260, comparing the myooxygen data with standard myooxygen data in the muscle oxygen model of the swallowing action, and determining whether the swallowing action of the set muscle is normal or not according to the comparison result.
Specifically, the standard myooxygen data set forth in S220 may be: a standard myooxygen profile and/or a standard myooxygenation parameter. Then, after acquiring the myooxygen data, the myooxygen data may likewise be determined as a myooxygen profile and/or a myooxygen quantification parameter. Specifically, the type of the myooxygen data may be determined in advance, and the corresponding standard myooxygen data in the swallowing myooxygen model may be retrieved, or the type of the myooxygen data may be determined according to the type of the standard myooxygen data in the swallowing myooxygen model. In either way, it is only necessary to ensure that the myooxygen data type is the same as the standard myooxygen data type. In view of this, the step may include at least one of the following:
and in the first scheme, a myooxygen distribution map of the set muscle is constructed according to the myooxygen data, the myooxygen distribution map is compared with a standard myooxygen distribution map in a muscle oxygen model of the swallowing action to obtain a myooxygen difference region, and whether the swallowing action of the set muscle is normal or not is determined according to the myooxygen difference region.
Specifically, the method for constructing the myooxygen profile of the deglutition muscle group according to the myooxygen data is the same as the method for constructing the standard myooxygen profile, and may specifically include: extracting effective characteristic values of the myooxygen data; searching display color data corresponding to the effective characteristic value in a preset mapping color table; a muscle oxygen profile of the set muscle is constructed based on the display color data.
And after preprocessing operations such as filtering, interference elimination and the like are carried out on the collected myooxygen data, determining the effective characteristic value of the myooxygen data by using a digital signal processing method. Wherein the effective characteristic value can be selected from the root mean square, the energy value and/or the mean value of the reference myooxygen data. The specific algorithm of the valid eigenvalue is the same as that of the reference myooxygen data. And after the effective characteristic value of each muscle in the swallowing muscle group is determined, determining the mapping relation between the effective characteristic value and the display color data through a mapping color table. Wherein, the mapping color table is the same as the mapping color table adopted when the standard myooxygen distribution diagram is established. Further, display color data corresponding to each effective characteristic value is determined according to the mapping color table, and a two-dimensional myooxygen distribution map is drawn according to the display color data. The myooxygen change condition of each muscle in the swallowing muscle group of the target object to be detected can be dynamically reflected according to the myooxygen distribution map.
Further, the myooxygen profile is compared to a standard myooxygen profile. Since the muscle profile and the standard muscle oxygen profile are both dynamic, it is ensured that the same muscle position is compared when performing the same exercise. During the comparison, the region of muscle oxygen difference between the myooxygen profile during swallowing and the standard myooxygen profile can be determined, which can be determined by displaying color data. Specifically, a color difference error range may be set, and when the color difference of the display color data of a certain region in the two distribution maps is within the color difference error range, it is determined that the muscle oxygen of the muscle in the region is normal, and if the color difference is not within the color difference error range, it is determined that the muscle oxygen of the muscle in the region is abnormal, so as to obtain a muscle oxygen difference region. The number of different myooxygen regions that can be obtained for a given swallowing test procedure is not unique.
Furthermore, the abnormal position of the muscle is determined according to the muscle oxygen difference area, the damage degree of the muscle is determined according to the color difference degree, so that the swallowing action detection result of the swallowing muscle group is obtained, and whether the swallowing function is normal is further determined. Specifically, determining whether the swallowing action of the set muscle is normal according to the muscle-oxygen difference region includes: determining a region quantization parameter of a muscle oxygen difference region to obtain a muscle position corresponding to the muscle oxygen difference region; whether the swallowing action of the set muscle is normal is determined based on the region quantization parameter and the muscle position.
Wherein the region quantization parameter includes: relative area, width ratio, aspect ratio, and the like. The relative area refers to the ratio of the area of the myooxygen high concentration region to the area of the near-infrared probe distribution region in the myooxygen difference region. The width ratio refers to the ratio of the width of a myooxygen high concentration region in a myooxygen difference region to the area width of a near-infrared probe distribution region. In general, the width is a horizontal distance between a leftmost point and a rightmost point in a horizontal direction of a certain region, and may be a relative distance between the leftmost point and the rightmost point in the horizontal direction. The aspect ratio is the quotient of the ratio of the width to the height of the region of high concentration of myooxygen in the region of myooxygen difference and the ratio of the area width to the height of the region of near-infrared probe distribution. The height is the distance between the topmost point and the bottommost point in a direction perpendicular to the width plane.
Specifically, the myooxygen differential area is analyzed to determine the corresponding area quantification parameter. Meanwhile, the muscle position of the myooxygen abnormality is determined according to the position of the myooxygen difference area in the myooxygen distribution map. Furthermore, analyzing the regional quantitative parameters and determining the oxygen metabolism function detection result in the muscle movement process. At this time, the oxygen metabolism function detection result in the process of muscle movement can be determined according to all regional quantitative parameters obtained in the process of swallowing. For example, the total myooxygen differential area during swallowing is obtained from comparison of the myooxygen profile during a certain swallowing process with the standard myooxygen profile. Further, the relative area and width ratio of the muscular oxygen difference region is determined, and the abnormal muscle and the specific position are determined according to the muscular oxygen difference region. The relative area and width ratio are analyzed to know that the myooxygen high concentration area in the current myooxygen difference area is larger, and at the moment, the muscle corresponding to the myooxygen difference area can be determined not to execute the corresponding swallowing action in the swallowing process according to the obtained oxygen metabolism function detection result.
And determining a myooxygen change parameter of the set muscle according to the myooxygen data, comparing the myooxygen change parameter with a standard myooxygen change parameter in the muscle oxygen model of the swallowing action to obtain a quantitative parameter difference value, and determining an oxygen metabolism function detection result of the set muscle according to the quantitative parameter difference value.
The determination method of the muscle oxygen oxidation parameter is the same as the determination method of the standard muscle oxygen oxidation parameter, and specifically may be: and carrying out statistical analysis on the muscle oxygen data by using a statistical method to obtain the muscle oxygen oxidation parameters of the set muscles. The statistical methods involved may include data testing, analysis of variance using multiple factors, linear regression, stepwise regression, and the like. The distribution rule and characteristics of the muscle oxygen of the swallowing muscle group of the target object to be detected in the swallowing process can be determined according to the muscle oxygen oxidation parameters.
Furthermore, comparing the myooxygen quantification parameter with the standard myooxygen quantification parameter to determine the difference value of each quantification parameter, wherein the myooxygen difference range of different quantification parameters can be set, and the difference value exceeding the myooxygen difference range is taken as the quantification parameter difference value. And analyzing the quantitative parameter difference value to determine the distribution rule and characteristics of abnormal muscle oxygen in the swallowing process of the target object to be detected, and further determining the corresponding muscle position and abnormal amplitude.
It should be noted that, when the two protocols are used together, the muscular oxygen evolution parameter and the muscular oxygen distribution map can be combined to determine the detection result of the swallowing action of the set muscle. For example, when determining the muscle oxygen oxidation parameter, the muscle oxygen distribution map can be combined to obtain more accurate muscle oxygen distribution rule and specificity.
Optionally, the reference myooxygen data may also be trained by using a machine learning method to obtain a swallowing motor muscle model. Furthermore, the acquired myooxygen data are input into the swallowing action muscle model to obtain a corresponding output result, wherein the output result can correct the position of the myooxygen abnormality and determine the myooxygen abnormality parameter.
Specifically, after comparing the myooxygen data with the standard myooxygen data, if the oxygen metabolism function detection result is that the myooxygen data are all in the range of the standard myooxygen data or abnormal myooxygen data (myooxygen difference region and/or quantitative parameter difference value) are not obtained, determining that the swallowing function of the target object to be detected is normal, otherwise, determining that the swallowing function of the target object to be detected is abnormal.
The technical scheme provided by the embodiment determines the standard myooxygen data corresponding to different swallowing acquisition schemes and establishes a swallowing action muscle model by acquiring the reference myooxygen data of a set number of standard target objects under different swallowing acquisition schemes, determining the muscular oxygen data of the deglutition muscle group through the optical information of the target object to be detected acquired by the near infrared probe, and determines the instruction according to the swallowing collection scheme to call the corresponding standard myooxygen data in the swallowing action muscle model so as to compare the myooxygen data with the standard myooxygen data, the technical proposal of determining the swallowing function detection result of the swallowing muscle group according to the comparison result avoids the problems of invasiveness and radiation during the swallowing disorder detection, reduces the detection cost, meanwhile, the abnormal positions and abnormal conditions of the muscles can be rapidly and accurately determined, the follow-up targeted rehabilitation is facilitated, and the treatment effect is improved.
EXAMPLE III
Fig. 3 is a schematic structural diagram of an apparatus for detecting a swallowing function according to a third embodiment of the present invention. Referring to fig. 3, the apparatus provided in this embodiment specifically includes: a data acquisition module 301 and a result determination module 302.
The data acquisition module 301 is configured to acquire myooxygen data of set muscles when a target object to be detected executes a swallowing action; and a result determining module 302, configured to compare the myooxygen data with standard myooxygen data in the muscle oxygen model of the swallowing action, and determine whether the swallowing action of the setting muscle is normal according to a comparison result.
According to the technical scheme, the acquired myooxygen data of the set muscle when the target object to be detected executes the swallowing action is compared with the standard myooxygen data in the muscle oxygen model of the swallowing action to determine the oxygen metabolism function of the set muscle, and then the technical means of the detection result of the swallowing action of the set muscle is obtained, the swallowing function detection result can be rapidly and accurately determined through the myooxygen data of the set muscle, wherein the muscle position and the abnormal myooxygen data of the abnormal myooxygen in the set muscle can be accurately determined through comparison with the standard myooxygen data in the muscle oxygen model of the swallowing action, the target direction is provided for follow-up muscle rehabilitation treatment, and the treatment effect is improved.
On the basis of the above embodiment, the data acquisition module 301 includes: the data acquisition unit is used for acquiring optical information of set muscles when a target object to be detected acquired by the plurality of near-infrared probes executes swallowing; and the data determining unit is used for determining the myooxygen data of the set muscle according to the optical information.
On the basis of the above embodiment, the method further includes: the standard data acquisition module is used for acquiring reference myooxygen data of a set number of standard target objects under different swallowing acquisition schemes before acquiring myooxygen data of set muscles when a target object to be detected executes swallowing; and the model establishing module is used for determining standard myooxygen data under different swallowing acquisition schemes according to the reference myooxygen data and establishing a swallowing action myooxygen model.
Correspondingly, the method also comprises the following steps: and the scheme determining module is used for acquiring a swallowing acquisition scheme determining instruction before comparing the myooxygen data with the standard myooxygen data in the swallowing action myooxygen model, and calling the corresponding standard myooxygen data in the swallowing action myooxygen model based on the determining instruction.
On the basis of the foregoing embodiment, the result determining module 302 is specifically configured to: constructing a myooxygen distribution map of the set muscle according to the myooxygen data, comparing the myooxygen distribution map with a standard myooxygen distribution map in a muscle oxygen model of the swallowing action to obtain a myooxygen difference region, and determining whether the swallowing action of the set muscle is normal or not according to the myooxygen difference region; and/or determining a myooxygen change parameter of the set muscle according to the myooxygen data, comparing the myooxygen change parameter with a standard myooxygen change parameter in a muscle oxygen model of the swallowing action to obtain a quantitative parameter difference value, and determining whether the swallowing action of the set muscle is normal or not according to the quantitative parameter difference value.
On the basis of the foregoing embodiment, the result determining module 302 is specifically configured to: extracting effective characteristic values of the myooxygen data; searching display color data corresponding to the effective characteristic value in a preset mapping color table; constructing a myotonus distribution map of the set muscle based on the display color data; comparing the myooxygen distribution graph with a standard myooxygen distribution graph in a swallowing action myooxygen model to obtain a myooxygen difference area, and determining whether the swallowing action of the set muscle is normal according to the myooxygen difference area.
On the basis of the foregoing embodiment, the result determining module 302 is specifically configured to: constructing a myooxygen distribution map of the set muscle according to the myooxygen data, comparing the myooxygen distribution map with a standard myooxygen distribution map in a swallowing action myooxygen model to obtain a myooxygen difference region, and determining a region quantization parameter of the myooxygen difference region and a muscle position corresponding to the myooxygen difference region; whether the swallowing action of the set muscle is normal is determined based on the region quantization parameter and the muscle position.
On the basis of the foregoing embodiment, the result determining module 302 is specifically configured to: and carrying out statistical analysis on the myooxygen data by using a statistical method to obtain a myooxygen quantification parameter of the set muscle, comparing the myooxygen quantification parameter with a standard myooxygen quantification parameter in a muscle oxygen model of the swallowing action to obtain a quantitative parameter difference value, and determining whether the swallowing action of the set muscle is normal or not according to the quantitative parameter difference value.
The device for detecting the swallowing function provided by the embodiment of the invention is suitable for the method for detecting the swallowing function provided by any embodiment, and has corresponding functions and beneficial effects.
Example four
Fig. 4 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention, as shown in fig. 4, the apparatus includes a processor 40, a memory 41, an input device 42, and an output device 43; the number of processors 40 in the device may be one or more, and one processor 40 is taken as an example in fig. 4; the processor 40, the memory 41, the input device 42 and the output device 43 of the apparatus may be connected by a bus or other means, as exemplified by the bus connection in fig. 4.
The memory 41, as a computer-readable storage medium, may be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the method for detecting a swallowing function in the embodiment of the present invention (for example, the data acquisition module 301 and the result determination module 302 in the apparatus for detecting a swallowing function). The processor 40 executes various functional applications of the robot and data processing, i.e., the method of detecting a swallowing function described above, by executing software programs, instructions, and modules stored in the memory 41.
The memory 41 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the robot, and the like. Further, the memory 41 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 41 may further include memory located remotely from processor 40, which may be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 42 is operable to receive input numeric or character information and generate key signal inputs relating to user settings and function controls of the apparatus, and is also operable to be connected proximate the infrared probe to acquire optical information collected by the near infrared probe via the input device. The output device 43 may include a display device such as a display screen.
The device provided by the embodiment can be used for executing the method for detecting the swallowing function provided by any embodiment, and has corresponding functions and beneficial effects.
EXAMPLE five
An embodiment of the present invention also provides a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a method of detecting a swallowing function, the method of detecting a swallowing function including:
acquiring myooxygen data of set muscles when a target object to be detected executes a swallowing function;
comparing the myooxygen data with standard myooxygen data in the muscle oxygen model of the swallowing action, and determining whether the swallowing action of the set muscle is normal or not according to the comparison result.
Of course, the storage medium containing the computer-executable instructions provided by the embodiments of the present invention is not limited to the operations of the method for detecting a swallowing function described above, and may also perform related operations in the method for detecting a swallowing function provided by any embodiment of the present invention, and has corresponding functions and advantages.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a robot, a personal computer, a server, or a network device) to execute the method for detecting a swallowing function according to the embodiments of the present invention.
It should be noted that, in the embodiment of the apparatus for detecting a swallowing function, the included units and modules are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (8)
1. A method of detecting swallowing function, comprising:
acquiring myooxygen data of set muscles when a target object to be detected executes swallowing action;
comparing the myooxygen data with standard myooxygen data in a swallowing action myooxygen model, and determining whether the swallowing action of the set muscle is normal or not according to a comparison result;
wherein the myooxygen data is embodied in the form of a two-dimensional myooxygen distribution map and/or in the form of a myooxygen oxidation parameter;
wherein, the comparing the myooxygen data with the standard myooxygen data in the muscle oxygen model of the swallowing action and determining whether the swallowing action of the set muscle is normal according to the comparison result comprises:
constructing a myooxygen distribution map of the set muscle according to the myooxygen data, comparing the myooxygen distribution map with a standard myooxygen distribution map in a muscle oxygen model of swallowing action to obtain a myooxygen difference region, and determining whether the swallowing action of the set muscle is normal according to the myooxygen difference region; and/or the presence of a gas in the gas,
determining a myooxygen quantification parameter of the set muscle according to the myooxygen data, comparing the myooxygen quantification parameter with a standard myooxygen quantification parameter in a muscle oxygen model of swallowing action to obtain a quantitative parameter difference value, and determining whether the swallowing action of the set muscle is normal or not according to the quantitative parameter difference value;
wherein the determining whether the swallowing action of the set muscle is normal according to the muscle-oxygen difference region comprises:
determining a region quantization parameter of the muscle oxygen difference region and a muscle position corresponding to the muscle oxygen difference region; wherein the region quantization parameter comprises: at least one of a relative area, a width ratio, and a height-to-width ratio;
determining whether swallowing activity of the set muscle is normal based on the region quantification parameter and the muscle position.
2. The method of claim 1, wherein the acquiring myooxygen data of a muscle set when the target object to be detected performs a swallowing action comprises:
acquiring optical information of set muscles when a target object to be detected, which is acquired by a plurality of near-infrared probes, executes swallowing;
and determining the myooxygen data of the set muscle according to the optical information.
3. The method according to claim 1, wherein before acquiring myooxygen data of a muscle set when the target object to be detected performs a swallowing action, the method further comprises:
acquiring reference myooxygen data of a set number of standard target objects under different swallowing acquisition schemes;
determining standard myooxygen data under different swallowing acquisition schemes according to the reference myooxygen data and establishing a swallowing action myooxygen model;
correspondingly, before comparing the myooxygen data with the standard myooxygen data in the swallowing action myooxygen model, the method further comprises the following steps:
obtaining swallowing acquisition scheme determination instructions, and calling corresponding standard myooxygen data in the swallowing action myooxygen model based on the determination instructions.
4. The method of claim 1, wherein said constructing a myotonal profile of said set muscle from said myotonal data comprises:
extracting effective characteristic values of the myooxygen data;
searching display color data corresponding to the effective characteristic value in a preset mapping color table;
constructing a myotonus profile of the set muscle based on the display color data.
5. The method of claim 1, wherein determining the myooxygenation parameters for the set muscle from the myooxygenation data comprises:
and carrying out statistical analysis on the muscle oxygen data by using a statistical method to obtain the muscle oxygen oxidation parameters of the set muscle.
6. An apparatus for detecting swallowing function, comprising:
the data acquisition module is used for acquiring myooxygen data of set muscles when the target object to be detected executes swallowing action;
the result determining module is used for comparing the myooxygen data with standard myooxygen data in a swallowing action myooxygen model and determining whether the swallowing action of the set muscle is normal or not according to the comparison result;
wherein the myooxygen data is embodied in the form of a two-dimensional myooxygen distribution map and/or in the form of a myooxygen oxidation parameter;
wherein the result determining module is further specifically configured to: constructing a myooxygen distribution map of the set muscle according to the myooxygen data, comparing the myooxygen distribution map with a standard myooxygen distribution map in a muscle oxygen model of swallowing action to obtain a myooxygen difference region, and determining whether the swallowing action of the set muscle is normal according to the myooxygen difference region; and/or determining a myooxygen quantification parameter of the set muscle according to the myooxygen data, comparing the myooxygen quantification parameter with a standard myooxygen quantification parameter in a muscle oxygen model of swallowing action to obtain a quantitative parameter difference value, and determining whether the swallowing action of the set muscle is normal or not according to the quantitative parameter difference value;
wherein the result determining module is further specifically configured to: constructing a myooxygen distribution map of the set muscle according to the myooxygen data, comparing the myooxygen distribution map with a standard myooxygen distribution map in a swallowing action myooxygen model to obtain a myooxygen difference region, and determining a region quantization parameter of the myooxygen difference region and a muscle position corresponding to the myooxygen difference region; wherein the region quantization parameter comprises: at least one of a relative area, a width ratio, and a height-to-width ratio; determining whether swallowing activity of the set muscle is normal based on the region quantification parameter and the muscle position.
7. An apparatus, comprising:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-5.
8. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-5.
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| WO2022193073A1 (en) * | 2021-03-15 | 2022-09-22 | 中国科学院深圳先进技术研究院 | Lesion detection system and method |
| CN113143297B (en) * | 2021-03-15 | 2022-12-23 | 中国科学院深圳先进技术研究院 | Focus detection system and method |
| TWI780949B (en) * | 2021-10-14 | 2022-10-11 | 弘光科技大學 | Blood flow assessment method and system therefor |
| CN113925465B (en) * | 2021-10-20 | 2023-06-27 | 佛山科学技术学院 | Rehabilitation training evaluation method and system based on myooxygen feedback information |
| CN116153501B (en) * | 2023-02-23 | 2023-08-18 | 广州医科大学附属第一医院（广州呼吸中心） | Method and apparatus for swallowing impairment detection |
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