CN115300290A - Auxiliary muscle relaxation method - Google Patents
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- 206010021118 Hypotonia Diseases 0.000 title claims abstract description 36
- 230000036640 muscle relaxation Effects 0.000 title claims abstract description 36
- 238000000034 method Methods 0.000 title claims abstract description 35
- 210000003205 muscle Anatomy 0.000 claims abstract description 40
- 210000000988 bone and bone Anatomy 0.000 claims description 27
- 238000012545 processing Methods 0.000 claims description 6
- 230000002040 relaxant effect Effects 0.000 claims 2
- 238000006073 displacement reaction Methods 0.000 claims 1
- 230000000007 visual effect Effects 0.000 claims 1
- 210000003414 extremity Anatomy 0.000 description 53
- 238000001514 detection method Methods 0.000 description 7
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- 230000003183 myoelectrical effect Effects 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 210000000056 organ Anatomy 0.000 description 3
- 206010049816 Muscle tightness Diseases 0.000 description 1
- 206010044565 Tremor Diseases 0.000 description 1
- 230000000747 cardiac effect Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
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- 210000003734 kidney Anatomy 0.000 description 1
- 210000004185 liver Anatomy 0.000 description 1
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- 230000007102 metabolic function Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000035790 physiological processes and functions Effects 0.000 description 1
- 230000012191 relaxation of muscle Effects 0.000 description 1
- 230000003252 repetitive effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 210000001364 upper extremity Anatomy 0.000 description 1
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Abstract
The invention relates to the technical field of medical auxiliary treatment, in particular to a muscle relaxation auxiliary method, which comprises the following steps: the pressure sensor array collects human body pressure data at high frequency; calculating the average pressure and pressure deviation data of each pressure sensor, and calculating a human body pressure distribution image and a human body pressure deviation distribution image; calculating the position of the human joint based on the human pressure distribution image; calculating the three-dimensional angle of the skeleton based on the positions of the joints of the human body and the pressure distribution characteristics among the joints; calculating the offset degree of the limb based on the three-dimensional angle of the skeleton; calculating the part of the muscle which is not fully relaxed based on the human body pressure distribution image, the human body pressure deviation distribution image and the pressure distribution characteristics among the joints; the detected person is prompted to change the position of the limb and the muscle of the corresponding part is relaxed through the video and audio and/or the mechanical arm. The invention assists the muscle relaxation of the detected person in the process of acquiring the electrocardiogram, reduces the influence of the electromyographic interference on the acquisition of the electrocardiogram and improves the recording quality of the electrocardiogram.
Description
Technical Field
The invention relates to the field of medical auxiliary treatment, in particular to a muscle relaxation auxiliary method.
Background
Electrocardiogram is a technique for recording a pattern of changes in electrical activity generated every cardiac cycle of the heart from the body surface using an electrocardiograph.
Electromyographic interference is a common interference problem in the process of acquiring electrocardiosignals. Electromyographic interference refers to a noise signal caused by human muscle tremor. The noise signal is irregular, the frequency of the electromyographic interference signal is between 10-3000Hz, and the voltage is between tens of microvolts and several millivolts. When a person to be detected lies on a detection bed in the process of collecting the electrocardiogram, the muscles of the body and the four limbs can not be fully relaxed, the tension of the muscles of the shoulder, the back and the upper limbs is increased under common conditions, and the vibration which can not be detected by naked eyes occurs; the abduction and the outward rotation of the lower limbs are insufficient, and the muscle tension is increased. The problem that how to relax muscles of detected people at specific parts so as to reduce the influence of myoelectricity interference on electrocardiogram acquisition needs to be solved is caused by the fact that myoelectricity activity is mixed with acquired electrocardio-activity, the recording quality of electrocardiogram is reduced, and even electrocardiogram diagnosis is interfered.
Disclosure of Invention
The invention provides a muscle relaxation assisting method which is used for assisting the relaxation of muscles of a detected person, reducing the influence of myoelectric interference on electrocardiogram acquisition and improving the electrocardiogram recording quality.
An embodiment of the present specification provides a muscle relaxation assistance method, including:
acquiring pressure data between a detected person and an examination bed at a high frequency through a pressure sensor array arranged on the surface of the examination bed, and acquiring the acquisition time of the pressure data and identification information of a pressure sensor;
processing the pressure data, the acquisition time and the identification information of the pressure sensors, calculating the average pressure and pressure deviation data of each pressure sensor, and constructing a human body pressure distribution image and a human body pressure deviation distribution image;
calculating the positions of human joints based on the human body pressure distribution image, and calculating the projection coordinates of bones on the plane of the examination bed and the pressure distribution characteristics among the human joints based on the positions of the human joints;
calculating the three-dimensional trend of the skeleton according to the projection coordinates of the skeleton and the pressure distribution characteristics among the joints, determining the offset degree of the limb based on the three-dimensional trend of the skeleton, and prompting the detected person to change the position of the limb when the limb is excessively offset;
and calculating the muscle relaxation degree based on the human body pressure distribution image, the human body pressure deviation distribution image and the pressure distribution characteristics among the joints, and prompting the relaxation of the muscles of the corresponding parts of the detected person when the parts with insufficient muscles are relaxed.
Preferably, the processing the pressure data, the collecting time, and the pressure sensor identification information includes:
establishing a pressure data curve of pressure change along with time corresponding to each pressure sensor based on the pressure data, the acquisition time and the pressure sensor identification information;
preferably, the calculating the average pressure and the pressure deviation data of each pressure sensor includes:
calculating the pressure average value of each pressure sensor according to the area under the pressure data curve, and calculating the pressure deviation data of each pressure sensor according to a statistical function;
the pressure deviation data for each pressure sensor includes, but is not limited to: absolute pressure deviation, relative pressure deviation, mean pressure deviation, variance pressure, standard pressure deviation, and standard pressure deviation.
Preferably, the constructing of the human body pressure distribution image and the human body pressure deviation distribution image includes:
establishing a human body pressure distribution image based on the pressure average value of each pressure sensor and the identification information of the pressure sensors;
and establishing a human body pressure deviation distribution image based on the pressure deviation data of each pressure sensor and the identification information of the pressure sensors.
Preferably, the calculating the position of the human joint based on the human pressure distribution image includes:
and carrying out image recognition on the human body pressure distribution image, and calculating the position of the human body joint of the detected person.
Preferably, the calculating of the pressure distribution characteristics of the bones between the projection coordinates of the table plane and the human joints based on the positions of the human joints comprises:
based on the positions of the joints of the human body, calculating the projection coordinates of the bones on the plane of the examination bed by combining virtual human technology;
calculating pressure distribution characteristics between adjacent human joints using body pressure distribution indicators including, but not limited to: maximum pressure, average pressure, maximum pressure gradient, average pressure gradient, asymmetry factor, longitudinal pressure profile, longitudinal moment profile, roll stability factor.
Preferably, the calculating the three-dimensional trend of the bone according to the projection coordinates of the bone on the examination bed plane and the pressure distribution characteristics between the joints comprises the following steps:
and calculating the three-dimensional trend of the skeleton by combining virtual human technology based on the projection coordinates of the skeleton on the plane of the examination bed and the pressure distribution characteristics among the joints.
Preferably, the determining the offset degree of the limb based on the three-dimensional trend of the skeleton comprises:
calculating three-dimensional angles of adjacent bones based on the three-dimensional trends of the bones;
and comparing the three-dimensional angle with a preset angle threshold, and determining the offset degree of the limb according to a comparison result.
Preferably, the prompting the detected person to change the position of the limb comprises:
displaying a three-dimensional human body corresponding to the human body pressure distribution image through a display in a mirror image manner;
highlighting and flashing the excessively deviated limb at the corresponding part of the three-dimensional human body;
the detected person is prompted to change the position of the limb through video and audio, and/or the mechanical arm is driven to correct the position of the limb:
and dynamically displaying the limb adjustment process and the limb position.
Preferably, the prompting that the muscle of the corresponding part of the detected person is relaxed comprises:
highlighting and flashing the corresponding part of the three-dimensional human body to display the part of the muscle which is not fully relaxed; the detected person is prompted to fully relax muscles at the corresponding positions through audio and video and/or driving a mechanical arm:
when the detected person can not fully relax the muscles by himself, the mechanical arm is driven to contact the corresponding part of the detected person to prompt that the muscles are fully relaxed.
The invention utilizes the image recognition technology and combines the virtual human technology to mark the corresponding part of the three-dimensional human body in the display for the limb excessive deviation and/or the insufficient muscle relaxation part of the human body of the detected person, and assists the detected person to correct the limb position and/or fully relax the muscle in the process of acquiring the electrocardiogram by means of video and audio and/or driving a mechanical arm, thereby reducing the influence of electromyographic interference on the acquired electrocardiogram and improving the recording quality of the electrocardiogram.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic diagram of a muscle relaxation assistance method provided in an embodiment of the present disclosure;
fig. 2 is a flowchart of a muscle relaxation assistance method provided in an embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present invention will now be described more fully with reference to the accompanying drawings. The exemplary embodiments, however, may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept to those skilled in the art. The same reference numerals denote the same or similar elements, components, or parts in the drawings, and thus their repetitive description will be omitted.
Features, structures, characteristics or other details described in a particular embodiment do not preclude the fact that the features, structures, characteristics or other details may be combined in a suitable manner in one or more other embodiments in accordance with the technical idea of the invention.
In describing particular embodiments, the present invention has been described with reference to features, structures, characteristics or other details that are within the purview of one skilled in the art to provide a thorough understanding of the embodiments. One skilled in the relevant art will recognize, however, that the invention may be practiced without one or more of the specific features, structures, characteristics, or other details.
The diagrams depicted in the figures are exemplary only, and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order depicted. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The term "and/or" and/or "includes all combinations of any one or more of the associated listed items.
Referring to fig. 1, a schematic diagram of a muscle relaxation assistance method provided in an embodiment of the present disclosure includes:
s101: acquiring pressure data between a detected person and an examination bed at a high frequency through a pressure sensor array arranged on the surface of the examination bed, and acquiring the acquisition time of the pressure data and identification information of a pressure sensor;
in the preferred embodiment of the invention, the person to be tested lies on the test bed, and the chest skin is exposed to facilitate the placement of the chest leads. The surface of the detection bed is provided with a pressure sensor array, pressure data between a detected person and the detection bed is acquired at high frequency through the pressure sensor array, the acquisition time of the pressure data is recorded, and the pressure data, the acquisition time and identification information of each sensor are transmitted to a master control program in a one-to-one correspondence manner. By means of the method, the pressure state information of the part, attached to the detected person, of each pressure sensor can be obtained, and subsequent calculation is facilitated.
S102: performing data processing on the pressure data, the acquisition time and the identification information of the pressure sensors, calculating the average pressure and pressure deviation data of each pressure sensor, and constructing a human body pressure distribution image and a human body pressure deviation distribution image;
further, the performing data processing on the pressure data, the acquisition time, and the pressure sensor identification information includes:
and establishing a pressure data curve of the pressure change along with time corresponding to each pressure sensor based on the pressure data, the acquisition time and the pressure sensor identification information.
Further, the calculating the average pressure and the pressure deviation data of each pressure sensor includes:
calculating the pressure average value of each pressure sensor according to the area under the pressure data curve, and calculating the pressure deviation data of each pressure sensor according to a statistical function;
the pressure deviation data for each pressure sensor includes, but is not limited to: absolute pressure deviation, relative pressure deviation, mean pressure deviation, variance pressure, standard pressure deviation, and standard pressure deviation.
Further, constructing a human body pressure distribution image and a human body pressure deviation distribution image, comprising:
establishing a human body pressure distribution image based on the pressure average value of each pressure sensor and the identification information of the pressure sensors;
and establishing a human body pressure deviation distribution image based on the pressure deviation data of each pressure sensor and the identification information of the pressure sensor.
In a preferred embodiment of the present invention, the pressure data collected by each pressure sensor at different time points is processed by the main control program, a pressure data curve is established with time as abscissa and pressure data as ordinate, then a pressure average value of each pressure sensor is calculated according to an area under the pressure data curve, and pressure deviation data of each pressure sensor is calculated according to a statistical function, where the pressure deviation data includes absolute pressure deviation, relative pressure deviation, average pressure deviation, variance pressure, standard pressure deviation, and standard pressure deviation. Then, the main control program establishes a human body pressure distribution image based on the pressure average value of each pressure sensor and the pressure sensor identification information, establishes a human body pressure deviation distribution image based on the pressure deviation data of each pressure sensor and the pressure sensor identification information, and then mirrors the human body pressure distribution image to a three-dimensional human body, so that the limb position deviation part and the muscle unrelaxed part of the detected person can be observed conveniently.
S103, calculating the positions of human joints based on the human body pressure distribution image, and calculating the projection coordinates of bones on the plane of the examination bed and the pressure distribution characteristics among the human joints based on the positions of the human joints;
further, the calculating the position of the human joint based on the human pressure distribution image comprises:
and carrying out image recognition on the human body pressure distribution image, and calculating the position of the human body joint of the detected person.
Further, the calculating of the pressure distribution characteristics of the bones between the projection coordinates of the table plane and the human joints based on the positions of the human joints comprises:
based on the positions of the joints of the human body, calculating the projection coordinates of the bones on the plane of the examination bed by combining virtual human technology;
calculating pressure distribution characteristics between adjacent human joints using body pressure distribution indicators including, but not limited to: maximum pressure, average pressure, maximum pressure gradient, average pressure gradient, asymmetry coefficient, longitudinal pressure profile, longitudinal moment profile, roll stability coefficient.
In the preferred embodiment of the invention, the image of the human body pressure distribution image is identified, and the positions of the human body joints of the detected person are calculated, so that the specific states of all the joints of the detected person can be known conveniently. Then, based on the positions of the human body joints, the virtual human technology is utilized to calculate the projection coordinates of the skeleton on the plane of the examination bed, and meanwhile, the pressure distribution characteristics between the adjacent human body joints are calculated by utilizing body pressure distribution indexes, wherein the body pressure distribution indexes comprise maximum pressure, average pressure, maximum pressure gradient, average pressure gradient, asymmetric coefficient, longitudinal pressure distribution curve, longitudinal moment distribution curve, roll stability coefficient and the like. Through the image recognition mode, the virtual human technology is combined to realize the calculation of the projection coordinates of the skeleton on the plane of the examination bed, so that the limb position deviation and insufficient muscle relaxation can be conveniently displayed on the three-dimensional human body in the display in the follow-up process, and the real-time state of the detected person can be favorably observed, wherein the virtual human technology refers to a three-dimensional human body model synthesized by simulating real human organs through the digital technology. The model not only has the appearance of a human body and the appearance of organs such as a liver, a heart, a kidney and the like, but also has the metabolism function of the organs, can more truly display the normal physiological state of the human body and various changes, can more truly display the real condition of a detected person through the virtual human technology, and is convenient for better confirming the offset degree of the limb position of the detected person and the like.
S104: calculating the three-dimensional trend of bones according to the projection coordinates and the pressure distribution characteristics among the joints, determining the offset degree of limbs based on the three-dimensional trend of the bones, and prompting the detected person to change the position of the limbs when the limbs are excessively offset;
further, the step of calculating the three-dimensional trend of the bone according to the projection coordinates and the pressure distribution characteristics between the joints comprises the following steps:
and calculating the three-dimensional trend of the skeleton by combining virtual human technology based on the projection coordinates of the skeleton on the plane of the examination bed and the pressure distribution characteristics among the joints.
Further, the determining the offset degree of the limb position based on the three-dimensional trend of the skeleton comprises:
calculating three-dimensional angles of adjacent bones based on the three-dimensional trend of the bones;
and comparing the three-dimensional angle with a preset angle threshold, and determining the deviation degree of the limb position according to a comparison result.
Further, the prompting the detected person to change the position of the limb includes:
displaying a three-dimensional human body corresponding to the human body pressure distribution image through a display in a mirror image manner;
highlighting and flashing the excessively deviated limb position at the corresponding part of the three-dimensional human body;
the detected person is prompted to change the position of the limb through video and audio, and/or the mechanical arm is driven to correct the position of the limb:
and dynamically displaying the limb adjustment process and the limb position.
In a preferred embodiment of the invention, based on projection coordinates of bones on an examination bed plane and pressure distribution characteristics among joints, calculating three-dimensional trend of the bones by combining virtual human technology, calculating three-dimensional angles of adjacent bones based on the three-dimensional trend of the bones, comparing the three-dimensional angles with a preset angle threshold value, and when the three-dimensional angles are within a preset angle threshold value range, showing that the limb positions of a detected person are within a reasonable range at the moment without changing the limb positions; when the three-dimensional angle is not within the preset angle threshold value range, the situation that the position of the limb of the detected person is excessively deviated at the moment is indicated. Displays are arranged on the upper side and the side wall of the detection bed, the three-dimensional human body corresponding to the human body pressure distribution image is displayed by utilizing the display in a mirror image mode, and the excessive offset limb position is displayed in a highlight and flicker mode at the corresponding position of the three-dimensional human body. Make things convenient for medical personnel or observed by the detection personnel, the mode suggestion through audio and video carries out the limbs change by the monitoring personnel, also can correct the adjustment through the limb position that the robotic arm excessively squinted to the appearance that is detected personnel, and simultaneously, the display can dynamic display limb regulation's process and limb position, more audio-visual show is detected people's limb situation, improve limb position control's efficiency, wherein, it is the three-dimensional angle of the adjacent skeleton of human body that carries out the heart electrograph collection under the standard condition to predetermine the angle threshold value scope of setting for as the basis. Specifically, can carry out the small-amplitude adjustment to predetermineeing the angle threshold value according to the sex, fat thin, the height etc. that are detected personnel to whether more accurate carry out the detection that the limbs position has excessive skew to being detected personnel, thereby reduce the influence of flesh electricity interference to gathering the heart electrograph, improve heart electrograph recording quality.
S105: and calculating the muscle relaxation degree based on the human body pressure distribution image, the human body pressure deviation distribution image and the pressure distribution characteristics among the joints, and prompting the relaxation of the muscles of the corresponding parts of the detected person when the parts with insufficient muscles are relaxed.
Further, the prompting of the detected person to relax muscles of corresponding parts comprises:
highlighting and flashing the corresponding part of the three-dimensional human body to display the part of the muscle which is not fully relaxed; the detected person is prompted to fully relax muscles at corresponding positions through audio and video and/or driving a mechanical arm:
when the detected person can not fully relax muscles by himself, the mechanical arm is driven to contact the corresponding part of the detected person to fully relax muscles.
In the preferred embodiment of the invention, the muscle relaxation degree is calculated based on the human body pressure distribution image, the human body pressure deviation distribution image and the pressure distribution characteristics among joints, when the muscle relaxation degree is in the muscle relaxation degree range acquired by electrocardiogram in a standard state, the detected person is in the muscle relaxation state, and corresponding muscle relaxation adjustment is not needed; when the muscle relaxation degree is not in the range of the muscle relaxation degree acquired by electrocardiogram under the standard state, the corresponding part of the three-dimensional human body is highlighted and flickered to display the part of the muscle which is not fully relaxed, and the detected person is prompted to fully relax the muscle at the corresponding position through video and audio and/or a driving mechanical arm until the muscle is fully relaxed. When the detected person can not fully relax muscles by oneself, the mechanical arm is driven to contact the corresponding part of the detected person to fully relax muscles, the muscle relaxation of the detected person is assisted by the mode, the influence of myoelectric interference on acquisition of electrocardiogram is reduced, and the electrocardiogram recording quality is improved.
In a preferred embodiment of the invention, the bed tail of the detection bed is provided with a left foot pedal and a right foot pedal, after the feet of the detected person contact the corresponding foot pedals, the mechanical arms fix the feet from the side surfaces of the feet in multiple directions, and the distance and the outward rotation angle of the feet are adjusted according to the human body contour, so that the limb posture of the detected person is corrected, and the part with insufficient muscle is subsequently fully relaxed. The device assists the muscle of the detected person to relax, reduces the influence of myoelectric interference on the acquisition of the electrocardiogram and improves the recording quality of the electrocardiogram.
Referring to fig. 2, a flowchart of a muscle relaxation assistance method provided in an embodiment of the present specification is shown, where in performing muscle relaxation assistance, pressure data of a human body of a detected person is collected first, then a pressure average value and pressure deviation data are calculated, a human body pressure distribution image is constructed according to an average pressure, and a human body pressure deviation distribution image is constructed according to pressure deviation data; then, calculating the positions of human joints according to the human body pressure distribution image, calculating the projection coordinates of bones on the plane of the examination bed and the pressure distribution characteristics among the human joints based on the positions of the human joints, calculating the three-dimensional angles of the bones according to the projection coordinates and the pressure distribution characteristics among the joints, and judging whether the positions of limbs need to be adjusted according to the three-dimensional angles; when the position of the limb is required to be adjusted, the corresponding part of the three-dimensional human body on the display is highlighted and flickered to display the position of the limb which excessively shifts, the monitored person is prompted to change the limb in an audio-video mode, the position of the limb which excessively shifts of the monitored person can be corrected and adjusted through the mechanical arm, and the process is circulated until the position of the limb is adjusted to a proper position. When the limb position is corrected and adjusted, the display can dynamically display the limb adjusting process and the limb position, so that the limb condition of the detected person can be displayed more visually, and the efficiency of adjusting the limb position is improved.
After limb position correction and adjustment are completed, muscle relaxation degree is calculated based on the human body pressure distribution image, the human body pressure deviation distribution image and the pressure distribution characteristics among joints, when the muscle relaxation degree is not within the muscle relaxation degree range acquired by electrocardiogram under a standard state, the part of the three-dimensional human body where the muscle is not fully relaxed is displayed in a highlight and flickering mode at the corresponding part, the detected person is prompted to fully relax the muscle at the corresponding position through video and audio and/or a driving mechanical arm, and the process is circulated until the muscle is fully relaxed. By the aid of the method, the limb position adjusting efficiency of the detected person is improved, muscle relaxation of the detected person is assisted, influence of myoelectric interference on electrocardiogram acquisition is reduced, and electrocardiogram recording quality is improved.
Claims (10)
1. A muscle relaxation assistance method, comprising:
acquiring pressure data between a detected person and an examination bed at a high frequency through a pressure sensor array arranged on the surface of the examination bed, and acquiring the acquisition time of the pressure data and identification information of the pressure sensor;
performing data processing on the pressure data, the acquisition time and the identification information of the pressure sensors, calculating the average pressure and pressure deviation data of each pressure sensor, and constructing a human body pressure distribution image and a human body pressure deviation distribution image;
calculating the positions of human joints based on the human body pressure distribution image, and calculating the projection coordinates of bones on the plane of the examination bed and the pressure distribution characteristics among the human joints based on the positions of the human joints;
calculating the three-dimensional trend of the skeleton according to the projection coordinates of the skeleton and the pressure distribution characteristics among the joints, determining the offset degree of the limb based on the three-dimensional trend of the skeleton, and prompting the detected person to change the position of the limb when the limb is excessively offset;
and calculating the muscle relaxation degree based on the human body pressure distribution image, the human body pressure deviation distribution image and the pressure distribution characteristics among the joints, and prompting the relaxation of the muscles of the corresponding parts of the detected person when the parts with insufficient muscles are relaxed.
2. A muscle relaxation assistance method as claimed in claim 1, wherein said data processing of said pressure data, said acquisition time, and said pressure sensor identification information comprises:
and establishing a pressure data curve of the pressure change along with time corresponding to each pressure sensor based on the pressure data, the acquisition time and the pressure sensor identification information.
3. A method for assisting in relaxing muscles according to claim 2, wherein said calculating the average pressure and pressure deviation data for each pressure sensor comprises:
calculating the pressure average value of each pressure sensor according to the area under the pressure data curve, and calculating the pressure deviation data of each pressure sensor according to a statistical function;
the pressure deviation data for each pressure sensor includes, but is not limited to: absolute pressure deviation, relative pressure deviation, mean pressure deviation, variance pressure, standard pressure deviation, and standard pressure deviation.
4. The muscle relaxation assistance method as claimed in claim 1, wherein constructing the human body pressure distribution image, the human body pressure deviation distribution image, comprises:
establishing a human body pressure distribution image based on the pressure average value of each pressure sensor and the identification information of the pressure sensors;
and establishing a human body pressure deviation distribution image based on the pressure deviation data of each pressure sensor and the identification information of the pressure sensor.
5. The muscle relaxation assistance method as claimed in claim 1, wherein the calculating of the position of the human joint based on the human pressure distribution image includes:
and carrying out image recognition on the human body pressure distribution image, and calculating the position of the human body joint of the detected person.
6. The method for assisting muscle relaxation according to claim 1, wherein the calculating of the projection coordinates of the bones on the bed plane and the pressure distribution characteristics between the joints of the human body based on the positions of the joints of the human body comprises:
based on the positions of the joints of the human body, calculating the projection coordinates of the bones on the plane of the examination bed by combining virtual human technology;
calculating pressure distribution characteristics between adjacent human joints using body pressure distribution indicators including, but not limited to: maximum pressure, average pressure, maximum pressure gradient, average pressure gradient, asymmetry coefficient, longitudinal pressure profile, longitudinal moment profile, roll stability coefficient.
7. The method for assisting muscle relaxation according to claim 1, wherein the calculating of the three-dimensional trend of the bone from the projection coordinates and the pressure distribution characteristics between the joints comprises:
and calculating the three-dimensional trend of the skeleton by combining virtual human technology based on the projection coordinates of the skeleton on the plane of the examination bed and the pressure distribution characteristics among the joints.
8. The method of assisting in relaxing muscles according to claim 1, wherein said determining the degree of displacement of the limb based on the three-dimensional orientation of said skeleton comprises:
calculating three-dimensional angles of adjacent bones based on the three-dimensional trend of the bones;
and comparing the three-dimensional angle with a preset angle threshold, and determining the offset degree of the limb according to a comparison result.
9. A muscle relaxation assistance method as claimed in claim 1, wherein said prompting the detected person to change the position of the limb comprises:
displaying a three-dimensional human body corresponding to the human body pressure distribution image through a display in a mirror image manner;
highlighting and flashing the excessively deviated limb at the corresponding part of the three-dimensional human body;
the detected person is prompted to change the position of the limb through visual and audio frequency, and/or the mechanical arm is driven to correct the position of the limb:
and dynamically displaying the limb adjustment process and the limb position.
10. The method as claimed in claim 1, wherein the prompting the muscle of the corresponding part of the detected person to relax comprises:
highlighting and flashing corresponding parts of the three-dimensional human body to display parts with insufficiently relaxed muscles; the detected person is prompted through audio and video and/or a driving mechanical arm that muscles at corresponding positions are sufficiently relaxed:
when the detected person can not fully relax the muscles by himself, the mechanical arm is driven to contact the corresponding part of the detected person to prompt that the muscles are fully relaxed.
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