CN212438635U - Physical examination all-in-one machine - Google Patents

Physical examination all-in-one machine Download PDF

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CN212438635U
CN212438635U CN201922448145.9U CN201922448145U CN212438635U CN 212438635 U CN212438635 U CN 212438635U CN 201922448145 U CN201922448145 U CN 201922448145U CN 212438635 U CN212438635 U CN 212438635U
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user
information
blood oxygen
physical examination
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王一夫
徐朋秋
陈立洋
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Xinhexin Technology Beijing Co ltd
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Xinhexin Technology Beijing Co ltd
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Abstract

The utility model relates to a medical health apparatus technical field provides a physical examination all-in-one, include: the blood oxygen detection module is used for acquiring blood oxygen information of a user; the electrocardio detection module is connected with the blood oxygen detection module and is used for acquiring electrocardio information of a user; the posture analysis module is used for acquiring posture information of the user; the body composition module is used for measuring the body composition information of the user; the main control module is connected with the electrocardio detection module, the body state analysis module and the body composition module, is used for acquiring the information acquired by the electrocardio detection module, the body state analysis module and the body composition module, and interacts with an external medical health big data analysis platform. The detection posture does not need to be changed in the user inspection process, the detection process is greatly simplified, the medical indexes of the user can be obtained in all directions, the detection information is comprehensively analyzed through the medical health big data analysis platform, and the comprehensive diagnosis result and the health suggestion are given.

Description

Physical examination all-in-one machine
Technical Field
The utility model relates to a medical health apparatus technical field, more specifically say, relate to a physical examination all-in-one.
Background
With the development of economy and the progress of the technology level, the living standard of people is continuously improved, so that the attention on the self health is higher and higher. At present, China faces the challenges of accelerating population aging process, severe chronic disease situation, urbanization and the like, and a medical and health service mode taking hospitals and diseases as a center is difficult to meet the requirements of the masses on long-term and continuous health care, and people cannot be guaranteed to quickly and accurately know the self health condition in a short time.
One of the solutions is to provide a health detection device, which is convenient for a user to measure some medical indicators, such as blood pressure, blood sugar, blood fat, etc. However, the current health detector has the problem of complex detection, and the content capable of being detected is limited, so that the detection requirement of people cannot be met.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide a physical examination all-in-one to solve the detection that current health detector exists heavy and complicated, detect the limited technical problem of content.
In order to achieve the above object, the utility model adopts the following technical scheme: provided is a physical examination all-in-one machine, comprising:
the blood oxygen detection module is used for acquiring blood oxygen information of a user;
the electrocardio detection module is connected with the blood oxygen detection module and is used for acquiring electrocardio information of a user;
the posture analysis module is used for acquiring posture information of the user;
the body composition module is used for measuring the body composition information of the user;
the main control module is connected with the electrocardio detection module, the body state analysis module and the body composition module, is used for acquiring the information acquired by the electrocardio detection module, the body state analysis module and the body composition module, and interacts with an external medical health big data analysis platform to acquire the health information of the user.
In one embodiment, the posture analysis module comprises:
the image acquisition unit is used for acquiring an image of a user;
the key point extraction unit is connected with the image acquisition unit and used for extracting key point data from the image acquired by the image acquisition unit;
and the posture construction unit is connected with the key point extraction unit and the main control module, and is used for constructing human body posture information according to the key point data and transmitting the constructed human body posture information to the main control module.
In one embodiment, the amount of the keypoint data is at least 15.
In one embodiment, the blood oxygen detection module comprises:
the blood oxygen finger clip is used for being clamped on a finger of a user to acquire blood oxygen information of the user.
In one embodiment, the blood oxygen finger clip is also used for acquiring the electrocardio-biological signals of the user.
In one embodiment, the electrocardiograph detection module includes an electrocardiograph chip, the electrocardiograph chip is connected to the blood oxygen finger clip, and the user processes the electrocardiograph biological signals acquired by the blood oxygen finger clip to acquire electrocardiograph information of the user.
In one embodiment, the body composition module comprises a first electrode unit and a second electrode unit;
the first electrode unit is used for contacting with the foot of a user so as to acquire body composition information from the foot of the user;
the second electrode unit is used for contacting with a finger of a user to acquire body composition information from the hand of the user;
the first electrode and the second electrode are respectively electrically connected with the main control module.
In one embodiment, the first electrode unit and the second electrode unit each comprise 4 contact electrodes or 6 contact electrodes.
In one embodiment, the physical examination all-in-one machine further comprises a communication module, and the communication module is integrated on the main control module and used for interacting with the external medical health big data analysis platform.
In one embodiment, the physical examination all-in-one machine further comprises a bracket, the blood oxygen detection module, the body state analysis module and the body composition module are all fixedly connected with the bracket, and the electrocardio detection module and the main control module are all arranged in the bracket.
The utility model provides a physical examination all-in-one's beneficial effect lies in at least: the utility model discloses blood oxygen detection module has integrateed, the electrocardio detection module, multiple detection module such as attitude analysis module and body composition module, the user need not to alternate detection gesture in whole process, the testing process has been simplified greatly, can all-roundly learn user's medical index, and interact with the big data analysis platform of medical health through host system, carry out the integrated analysis through the big data analysis platform of medical health to detecting information, give comprehensive diagnosis result and health suggestion, let the user can know the relation of oneself and disease risk directly perceivedly.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic view of an overall structure of a physical examination integrated machine provided by an embodiment of the present invention;
fig. 2 is a schematic diagram of module connection of the physical examination integrated machine provided by the embodiment of the present invention;
fig. 3 is a schematic view of a blood oxygen examination module in the physical examination integrated machine according to the embodiment of the present invention;
fig. 4 is a schematic diagram of a physical examination analysis module in the physical examination all-in-one machine provided by the embodiment of the present invention;
fig. 5 is a schematic diagram of the correlation of key points in the physical examination integrated machine provided by the embodiment of the present invention;
fig. 6 is a schematic diagram of key points extracted from the physical examination integrated machine provided by the embodiment of the present invention;
fig. 7 is a schematic view of trapezius muscles in examples of shoulders according to the present invention.
Detailed Description
In order to make the technical problem, technical solution and advantageous effects to be solved by the present invention more clearly understood, the following description is given in conjunction with the accompanying drawings and embodiments to illustrate the present invention in further detail. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the invention.
It will be understood that when an element is referred to as being "secured to" or "disposed on" another element, it can be directly or indirectly secured to the other element. When an element is referred to as being "connected to" another element, it can be directly or indirectly connected to the other element. The terms "upper", "lower", "left", "right", "front", "rear", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positions based on the orientations or positions shown in the drawings, and are for convenience of description only and not to be construed as limiting the technical solution. The terms "first", "second" and "first" are used merely for descriptive purposes and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features. The meaning of "plurality" is two or more unless specifically limited otherwise.
With the improvement of quality of life, people pay more and more attention to their health, and therefore, it is desirable to know their health status quickly and accurately. One of the ways commonly used in the market today is to measure various medical indicators of the user, such as blood glucose, blood pressure and blood lipid, by means of a health monitor. The general measurement mode of blood pressure is arm measurement, and the measurement mode of blood sugar and blood fat is the mode of external blood sampling machine analysis. However, the existing health monitor has many problems, for example, the detection process is complicated, when the user measures the blood pressure, the arm type blood pressure measurement needs to be performed in a sitting posture mode, and then the user stands up and changes the posture to perform the next test; at present, the health detector focuses on common easily-measured indexes such as blood sugar, blood pressure and blood fat, and the detection content is limited. Moreover, some measurement indexes of some health detectors have no practical value, such as measuring "organ function", "repair function", etc., and these indexes have no practical significance.
This embodiment has then proposed a brand-new physical examination all-in-one, and not only the testing process is simple, can accomplish the health detection to the user rapidly, detects the index abundanter moreover for the user can learn the relevant risk of disease through detecting.
Please refer to fig. 1 to 3, an embodiment of the present invention provides a physical examination integrated machine, which includes a blood oxygen detecting module 10, an electrocardiograph detecting module 20, a body state analyzing module 30, a body composition module 40 and a main control module 50, wherein the blood oxygen detecting module 10 is connected to the electrocardiograph detecting module 20, and the electrocardiograph detecting module 20, the body state analyzing module 30 and the body composition module 40 are all connected to the main control module 50. The blood oxygen detection module 10 is used for acquiring blood oxygen information of a user; the electrocardio detection module 20 is used for acquiring electrocardio information of a user; the posture analysis module 30 is configured to obtain posture information of the user; the body composition module 40 is used for measuring body composition information of the user; the main control module 50 is used for acquiring the information acquired by the electrocardiograph detection module, the body state analysis module and the body composition module, and interacting with an external medical health big data analysis platform to acquire the health information of the user.
When the user needs to detect through the physical examination all-in-one machine, the user can stand on the physical examination all-in-one machine, at the moment, the feet of the user can be in contact with the body composition module 40, meanwhile, the hands are in contact with the blood oxygen detection module 10 and are connected with the electrocardio detection module through the blood oxygen detection module 10, the body state analysis module 30 can further acquire the body state information of the user through acquiring the picture of the user, and the user does not need to change the detection posture in the whole process. After the test is completed, the blood oxygen information acquired by the blood oxygen detection module 10, the electrocardiographic information acquired by the electrocardiographic detection module 20, the body state information acquired by the body state analysis module 30, and the body composition information measured by the body composition module 40 are all sent to the main control module 50, the main control module 50 sends the acquired detection information to an external medical health big data analysis platform, and the medical health big data analysis platform can comprehensively analyze the acquired detection information to comprehensively detect the body condition of the user and give a health suggestion.
The physical examination all-in-one machine that this embodiment provided has at least:
(1) the physical examination all-in-one that this embodiment provided has integrateed blood oxygen detection module 10, electrocardio detection module 20, multiple detection module such as attitude analysis module 30 and body composition module 40, can all-roundly learn user's medical index, the content of detection includes hypertension, diabetes, fatty liver, hyperthyroidism subtracts, apoplexy, the risk of common diseases such as angina pectoris, and interact with the big data analysis platform of medical health through host system 50, carry out the integrated analysis to detected information through the big data analysis platform of medical health, give comprehensive diagnosis result and health suggestion, let the user can directly perceivedly understand the relation of oneself and disease risk.
(2) The physical examination all-in-one machine provided by the embodiment comprises a physical examination analysis module 30, the physical examination analysis module 30 can acquire physical examination information of a user, and the physical examination information is sent to a medical health big data analysis platform through a main control module 50 to be analyzed, so that disease risk and prevention suggestions of the user can be known according to the physical examination information.
(3) The physical examination all-in-one machine provided by the embodiment can detect through the blood oxygen detection module 10, the electrocardio detection module 20, the posture analysis module 30 and the body composition module 40 at the same time during detection, and a user does not need to change a detection posture in the whole process, so that the detection process is greatly simplified, and the detection time is shortened.
Referring to fig. 1, in order to fix the above modules, the physical examination integrated machine provided in this embodiment further includes a support 60, the blood oxygen detection module 10, the posture analysis module 30, and the body composition module 40 are all fixedly connected to the support 60, and the electrocardiograph detection module 20 and the main control module 50 are all disposed in the support 60. The specific shape of the bracket 60 can be set according to the needs, and is not limited herein.
Referring to fig. 3, further, the blood oxygen detecting module 10 includes a blood oxygen finger clip for being clipped on a finger of a user to obtain blood oxygen information of the user. The probe of the blood oxygen finger clip can be a Likang intelligent blood oxygen probe KS-CM01, and can realize accurate monitoring of medical indexes such as blood oxygen saturation, pulse rate, blood flow perfusion index, pulse intensity histogram, blood oxygen volume waveform and the like. The number of blood oxygen finger clips may be one, and may be worn directly on one finger of the user (e.g., the middle finger of the right hand) when performing the detection. Of course, in other embodiments, the type and number of the blood oxygen finger clip can be set according to the requirement, and are not limited herein.
In this embodiment, the blood oxygen finger clip can also be used to obtain the user's electrocardiographic bio-signals. The electrocardiograph detection module 20 comprises an electrocardiograph chip, the electrocardiograph chip is connected with the blood oxygen finger clip, and a user processes electrocardiograph biological signals acquired by the blood oxygen finger clip to acquire electrocardiograph information of the user. The type of the electrocardio chip is BMD101, the electrocardio chip is provided with an advanced analog front-end circuit and a flexible and powerful digital signal processing structure, biological signals from mu V (microvolt) to mV (millivolt) can be collected, and electrocardio information of a user can be obtained through processing of a built-in algorithm.
Further, the body composition module 40 includes a first electrode unit and a second electrode unit, and the first electrode unit and the second electrode unit are respectively electrically connected with the main control module. The first electrode unit is used for contacting with the foot of a user so as to acquire body composition information from the foot of the user; the second electrode unit may be integrated with the blood oxygen module for contact with a user's finger, and may be synchronized to obtain body composition information from the user's foot when the user wears the blood oxygen finger clip. According to different detection requirements, the number of the contact electrodes in the first electrode unit and the second electrode unit can be set, for example, 4 contact electrodes can be included, and 6 contact electrodes can be included.
In this embodiment, the body composition module 40 may be an ITO vitreous composition meter, which can better contact with the foot of the user, thereby obtaining better bioelectric signals and processing them. Moreover, in the present embodiment, the blood oxygen detection module 10 is integrated with the electrocardiograph detection module 20 and the body composition module 40, the collected blood oxygen information can be used as an advanced prediction signal, and the body composition information and the electrocardiograph information can be processed again, so that the obtained detection information is more accurate.
Further, in order to communicate with the medical health big data analysis platform, the physical examination all-in-one machine provided in this embodiment further includes a communication module, and the communication module is integrated on the main control module 50. The communication module may be a wireless communication module, such as a cellular module (3G module, 4G module, 5G module, etc.), a non-cellular module (WIFI module, bluetooth module, etc.).
Referring to fig. 4, further, the posture analysis module 30 includes an image collecting unit 31, a key point extracting unit 32, and a posture constructing unit 33, the key point extracting unit 32 is connected to the image collecting unit 31, and the posture constructing unit 33 is connected to the key point extracting unit 32 and connected to the main control module 50. The image acquisition unit 31 is used for acquiring an image of a user; the key point extracting unit 32 is configured to extract key point data from the image acquired by the image acquiring unit 31; the pose construction unit 33 is configured to construct human pose information according to the key point data, and transmit the constructed human pose information to the main control module 50. The amount of key point data may also vary, depending on the way the body pose is constructed, and may for example comprise at least 15. Of course, in other embodiments, the number of the key points may also be at least 18 or at least 21, and the like, and specifically may correspond to the tip of the nose, eyes, tragus points, neck, shoulder, elbow, wrist, hip bone, knee, ankle, and the like of the human body, so as to clearly recognize the posture of the human body.
In the present embodiment, the main processes of the posture analysis module 30 are as follows:
firstly, the image acquisition unit 31 captures two images of the front and the side of the user, then the key point data of the human body is extracted through the processing of the computer vision algorithm in the key point extraction unit 32, the posture construction unit 33 constructs the posture information of the human body, and finally the human body posture is analyzed and evaluated by combining medical knowledge.
Specifically, the technical process of extracting the key point data includes the steps of firstly inputting an original image, analyzing the image through a convolution network to perform simple feature extraction to obtain a feature image, and then entering the stage 1 to perform prediction respectively through two branches. The first branch is a branch for which the location of the keypoints is predicted, and the second branch is a branch for which the relationship between the keypoints is predicted. The following stages are similar to stage 1, and after each stage, the prediction and feature images from the two branches are connected, and the next stage is entered, and finally the output of the convolutional network is obtained. The whole extraction process is a double-branch multistage convolutional neural network architecture.
The correlation between two key points is measured by the confidence of the point between them on the limb, and the formula is shown in the following formulas (1) to (3).
Figure DEST_PATH_GDA0002780077850000081
v=(xj2,k-xj1,k)/||xj2,k-xj1,k||2Formula (2)
Figure DEST_PATH_GDA0002780077850000082
Combining the formula (1), the formula (2) and the figure 5, when the point p is on the limb, L is a unit vector of the limb direction; when point p is not on the limb, L is a 0 vector. And (3) obtaining the confidence E of the point between the L and the limb on the limb according to an integral formula (3), wherein p (u) is the point between the L and the limb, and u ranges from 0 to 1. The higher the confidence, the higher the correlation between two key points, and the more likely it is to constitute a limb.
As shown in fig. 5, point j1And j2Respectively representing key points of the right elbow and the right wrist, wherein the point p is a point between the two, and the corresponding L is a direction unit vector of the right forearm. In actual operation, u can be uniformly sampled and approximately integrated to obtain the correlation between two key points. As shown in figure j1And j2The composed limb can be judged as the right forearm.
The key points of the human body obtained through the above steps include 18 key points such as a nasal tip point, eyes, an otorhinoscope point, a neck, a shoulder, an elbow, a wrist, a hip bone, a knee, an ankle and the like (see fig. 6), and a human body posture is constructed according to the points. The medical health big data analysis platform can analyze and evaluate the aspects of the joint angle, the bone posture and the like of the human body posture according to medical knowledge, prompts abnormal human body posture and possible bad habits and diseases, is associated with a disease knowledge map, and provides disease risk prompt and prevention suggestions.
The specific combination of this embodiment with medicine is as follows: nine abnormal postures can be measured through posture measurement, including high and low shoulders, round shoulders, forward leaning of the head, lateral leaning of the head, forward leaning of the pelvis, abnormal spine, hyperextension of the knee, X-shaped legs, O-shaped legs and XO-shaped legs.
Taking the high and low shoulders as an example, as shown in fig. 7, many young people are used to carry a single shoulder bag, which can greatly affect the unilateral trapezius muscle of the young people for a long time, and the shoulder and neck muscle at the back of one side can be continuously in an over-tense and contracted state, so that the muscles at two sides are unbalanced in stress, and the high and low shoulders are formed. The shoulders on both sides are not on the same straight line when in a relaxed state, which not only affects the beauty, but also can further cause scoliosis, long and short feet, pelvis or spinal column inclination, and the symptoms comprise neck and shoulder pain, chronic pain, cervical vertebra degeneration and the like. By the posture analysis technique, whether the shoulder is high or low can be detected by analyzing whether the angle formed by the points 2, 1 and 5 is 180 degrees.
The above description is only exemplary of the present invention and should not be taken as limiting the scope of the present invention, as any modifications, equivalents, improvements and the like made within the spirit and principles of the present invention are intended to be included within the scope of the present invention.

Claims (10)

1. A physical examination all-in-one machine, comprising:
the blood oxygen detection module is used for acquiring blood oxygen information of a user;
the electrocardio detection module is connected with the blood oxygen detection module and is used for acquiring electrocardio information of a user;
the posture analysis module is used for acquiring posture information of the user;
the body composition module is used for measuring the body composition information of the user;
the main control module is connected with the electrocardio detection module, the body state analysis module and the body composition module, is used for acquiring the information acquired by the electrocardio detection module, the body state analysis module and the body composition module, and interacts with an external medical health big data analysis platform to acquire the health information of the user.
2. The physical examination all-in-one machine of claim 1, wherein the posture analysis module comprises:
the image acquisition unit is used for acquiring an image of a user;
the key point extraction unit is connected with the image acquisition unit and used for extracting key point data from the image acquired by the image acquisition unit;
and the posture construction unit is connected with the key point extraction unit and the main control module, and is used for constructing human body posture information according to the key point data and transmitting the constructed human body posture information to the main control module.
3. The physical examination all-in-one machine of claim 2, wherein the amount of the key point data is at least 15.
4. The physical examination all-in-one machine of claim 1, wherein the blood oxygen detection module comprises:
the blood oxygen finger clip is used for being clamped on a finger of a user to acquire blood oxygen information of the user.
5. The integrated physical examination machine of claim 4, wherein the blood oxygen finger clip is further used for obtaining the electrocardio-biological signals of the user.
6. The physical examination all-in-one machine as claimed in claim 5, wherein the electrocardiograph detection module comprises an electrocardiograph chip, the electrocardiograph chip is connected with the blood oxygen finger clip, and a user processes electrocardiograph biological signals obtained by the blood oxygen finger clip to obtain electrocardiograph information of the user.
7. The physical examination machine of claim 1, wherein the body composition module comprises a first electrode unit and a second electrode unit;
the first electrode unit is used for contacting with the foot of a user so as to acquire body composition information from the foot of the user;
the second electrode unit is used for contacting with a finger of a user to acquire body composition information from the hand of the user;
the first electrode unit and the second electrode unit are respectively electrically connected with the main control module.
8. The physical examination all-in-one machine of claim 7, wherein the first electrode unit and the second electrode unit each comprise 4 contact electrodes or 6 contact electrodes.
9. The physical examination all-in-one machine of claim 1, further comprising a communication module, wherein the communication module is integrated on the main control module and is used for interacting with the external medical health big data analysis platform.
10. The physical examination all-in-one machine of any one of claims 1 to 9, further comprising a support, wherein the blood oxygen detection module, the posture analysis module and the body composition module are all fixedly connected with the support, and the electrocardiogram detection module and the main control module are all arranged in the support.
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