Running machine respiration detection device based on forward scattering radar

Abstract

The invention discloses a treadmill respiration detection device based on a forward scattering radar, and relates to the field of respiration signal monitoring, the treadmill respiration detection device comprises a treadmill sending device and a receiving monitoring device, the treadmill sending device is provided with a sending antenna and a high-definition display screen, and the receiving monitoring device is provided with a receiving antenna. The receiving and monitoring device comprises a receiving antenna, a Lime SDR, an edge computing device and a high-resolution camera, the edge computing device comprises a personal computer, a Raspberry Pi and other development boards, and a high-definition display screen is arranged on the outer wall of the edge computing device. Through cooperation of the transmitting and receiving antenna and the high-resolution camera, the radar cross section change (RCS) of abdomen changes when a human body breathes is monitored, so that the signal amplitude change is transmitted to the edge computing device, the breathing frequency during movement is displayed, the defect that an existing treadmill cannot monitor the breathing frequency of a user in real time is overcome, and the user experience is improved. The situation that the training effect is affected or exercise risks are caused due to the fact that the exercise intensity cannot be adjusted in time is avoided, and effective and accurate detection of the respiration signals based on the thoracic and abdominal exercise signals is achieved.

Description

Technical Field

[0001] The invention belongs to the field of respiratory signal monitoring, and in particular relates to a treadmill respiratory detection device based on forward scattering radar. Background Art

[0002] The treadmill breathing detection device based on forward scattering radar is a device that can monitor breathing frequency in real time during exercise. The device can be used in gyms, home environments, rehabilitation training institutions, sports research fields, etc. The existing technology has the following problems:

[0003] 1. Traditional respiratory monitoring methods mostly rely on professional medical equipment. Such equipment is not only cumbersome to wear and brings a lot of inconvenience to users, but also in sports scenes, the extra weight and restraint can easily interfere with the normal exercise experience and cause strong discomfort. It is far from meeting the public's urgent needs for convenient and real-time respiratory monitoring in daily fitness;

[0004] 2. When people use treadmills for daily exercise, they mostly focus on basic parameters such as running speed, cumulative distance, and exercise duration, but often ignore the deep insight into the real-time and subtle state of their own body.

[0005] In view of this, the development of a respiratory monitoring device that can be seamlessly integrated into a treadmill and has many significant advantages such as non-invasive, high precision and easy to use has become a key issue that needs to be overcome in the field of respiratory signal monitoring and is urgent.

[0006] To sum up, this treadmill equipped with a respiratory monitoring device has immeasurable application value whether in gyms, home environments, rehabilitation training institutions, sports scientific research and other scenarios, providing users in various scenarios with more scientific and accurate exercise assistance means. Summary of the invention

[0007] The present invention provides a treadmill breathing detection device based on forward scattering radar, aiming to provide a practical and convenient breathing monitoring device installed on a treadmill, effectively solving the problem of inconvenient breathing monitoring in existing fitness scenarios. Its core design goal is clear and highly targeted, that is, to develop an auxiliary device that can be cleverly installed on a treadmill, through the organic integration of a series of cutting-edge scientific and technological means, to achieve real-time and accurate capture of the user's human body cross-sectional area during the running process, and rely on precise algorithms and efficient data processing processes to convert it into an intuitive and readable breathing frequency value, and finally present it to the user, providing a full range of in-depth sports health monitoring services, so that every running exercise has scientific data guidance to ensure sports safety and efficiency.

[0008] The technical solution adopted by the present invention is:

[0009] A treadmill breathing detection device based on forward scattering radar includes a treadmill and a receiving monitoring device. A transmitting antenna is arranged at the front end of the treadmill body, a high-definition display screen is supported on the upper end of the treadmill body, the receiving monitoring device includes a receiving antenna, a Lime SDR, an edge computing device, and a high-resolution camera. A camera is arranged at the lower side of the receiving antenna, a bracket is arranged at the lower part of the receiving antenna and the high-resolution camera, a high-definition display screen is arranged on the outer wall of the edge computing device, and the edge computing device includes a personal computer, a Raspberry Pi, a Luban Cat, a Taishan Pi and other development boards.

[0010] A further improvement of the technical solution of the present invention is that the output end signal of the transmitting antenna is connected to LimeSDR, the input end signal of the receiving antenna is connected to Lime SDR, the output end signal of the Lime SDR and the high-resolution camera is connected to an edge computing device, and the receiving end signal of the edge computing device is connected to a high-definition display screen.

[0011] A further improvement of the technical solution of the present invention is that an algorithm module specially developed for respiratory rate monitoring is carefully built into the edge computing device, which quickly and accurately converts the massive and complex data received from the Lime SDR into intuitive and easy-to-understand respiratory rate values.

[0012] A further improvement of the technical solution of the present invention is that the surface of the screen is evenly coated with a layer of high-tech anti-glare coating, so that when the light conditions around the treadmill are complex and changeable, especially when strong light is irradiated, the user can still clearly see the breathing frequency displayed on the screen without any hindrance.

[0013] Due to the adoption of the above technical solution, the present invention has the following technical advances compared with the prior art:

[0014] 1. Previous treadmills could only provide basic running assistance, and users were completely unaware of their own breathing rate, a key health indicator, during exercise. The present invention breaks this limitation. Through the coordinated operation of the transmitting antenna, receiving antenna, camera, Lime SDR and edge computing equipment, the changes in the cross-sectional area of ​​the human body are accurately captured and converted into real-time breathing rate data, allowing users to grasp their own physical condition at any time and adjust the exercise intensity in time, greatly improving the safety and scientificity of exercise.

[0015] 2. With the powerful digital processing capabilities of Lime SDR and the sophisticated algorithm programs of edge computing devices, it can accurately extract characteristic information related to breathing from complex raw signals and image data, and calculate the breathing frequency through rigorous mathematical models. Compared with the traditional method of relying on subjective feelings or rough estimates, the accuracy of the monitoring results has achieved a qualitative leap, providing a reliable basis for the precise training of professional athletes and the health management of special groups.

[0016] 3. Taking into account the height differences of different users, the monitoring module consisting of the receiving antenna and the camera is equipped with an adjustable bracket, which can flexibly adapt to various height ranges, ensuring that when different users use the treadmill, the camera can accurately capture the cross-sectional area of ​​the human body, ensuring the validity of the monitoring data, and expanding the scope of applicable population of the present invention. Whether it is home users, gym members or professional athletes, they can all benefit from it. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 The overall schematic diagram of the structure of the present invention is

[0018] Figure 2 It is a schematic structural diagram of a treadmill of the present invention;

[0019] Figure 3 This is a schematic diagram of the receiving monitoring structure of the present invention;

[0020] Figure 4 It is a schematic diagram showing the structure of the present invention;

[0021] In the figure: 1. Treadmill body; 2. Transmitting antenna; 3. Receiving antenna; 4. Camera; 5. Edge computing device; 6. Screen. DETAILED DESCRIPTION

[0022] In the actual installation of the treadmill, the placement of each component is full of technical considerations:

[0023] For the transmitting antenna, it is best to place it at the front end of one side of the treadmill belt. This layout can ensure that the specific frequency signal emitted stably and comprehensively covers the area where the user's body is when running, without missing any body change signals caused by subtle movements, and can cleverly avoid the main vibration sources and interference factors during running.

[0024] Normally, the monitoring module consisting of the receiving antenna and the camera is installed at a suitable height behind or on the side of the treadmill. This height is not fixed, but is based on ergonomic principles, taking into full account the changes in the visual range caused by the height differences of different users. In order to achieve this flexible adaptation, an adjustable bracket is specially equipped to facilitate users to easily adjust the camera angle according to their actual height, ensuring that the camera can capture the cross-sectional image of the human body at the best viewing angle, clearly and completely, providing a solid guarantee for subsequent accurate data analysis.

[0025] As a key link in the data processing chain, Lime SDR has strict requirements for its installation environment. Due to its sensitivity to the electromagnetic environment, it needs to be placed near the control box inside the treadmill, which is relatively closed and has a good electromagnetic shielding effect, which can effectively reduce the adverse effects of external electromagnetic interference on its signal transmission and precision processing.

[0026] When installing edge computing devices, both convenience and stability should be taken into consideration. Fixing it firmly in the reserved exclusive space below or on the side of the treadmill control panel will facilitate potential functional expansion and linkage with various operation buttons and display screens on the control panel. On the other hand, it will be connected to the Lime SDR using a high-speed data cable. The connection cable between the edge computing device and the screen has also been carefully selected. The adapted connection cable can ensure the stability and clarity of the image display, allowing the respiratory rate information to be perfectly presented on the screen without flickering or distortion.

[0027] The present invention is further described in detail below in conjunction with embodiments:

[0028] In actual usage scenarios, the moment the user steps on the treadmill and starts the running program, the entire monitoring system is activated. The transmitting antenna takes the lead and immediately emits a signal of a specific frequency. At the same time, the receiving antenna works closely with the camera to synchronously start the working mode and accurately capture changes in the cross-sectional area of ​​the human body. Subsequently, the collected data quickly flows through LimeSDR for preliminary processing, and then is sent to the edge computing device for in-depth calculations. Within just a few seconds, the respiratory rate obtained through layer-by-layer analysis and calculation is displayed in real time on the screen, and presented to the user in the most intuitive way. At this moment, the user seems to have a personal health consultant. According to the real-time respiratory rate information on the screen, the user can reasonably adjust the running speed, slope and other exercise parameters to make each step of running more scientific and efficient, and move steadily towards a health goal.

Claims

1. A treadmill breathing detection device based on forward scattering radar, the salient features of which are: Covers: The treadmill body (1) is equipped with a spacious and comfortable running surface and a stable and reliable supporting structure; The transmitting antenna (2) is precisely installed at the front end of the treadmill body, and its core purpose is to transmit a signal with a specific frequency and strength to start a subsequent precise monitoring process; A high-resolution camera (4) is cleverly placed in an ideal position to capture the cross-sectional area of ​​the user's body in all directions without blind spots, and efficiently receives feedback from the signal transmitted by the transmitting antenna; The receiving antenna (3) is tightly and firmly connected to the camera, and is responsible for receiving the signals reflected by the camera based on the human body, and quickly and stably transmitting these signals carrying key information to the subsequent processing unit; Lime SDR, which is connected to the transmitting antenna and the receiving antenna in an efficient and reliable manner. With its excellent ultra-wide frequency processing range, it can adapt to the signal requirements of different frequency bands, and its powerful data processing capabilities can quickly respond to complex and changeable signal analysis tasks, and achieve in-depth analysis of the electrical signals corresponding to the cross-sectional area data of the human body, and convert the original physical signals into digital information for further calculation; Edge computing devices (5), including personal computers, Raspberry Pi, Luban Cat, Taishan Pi and other development boards, are connected to the Lime SDR via a high-speed data channel, and further perform complex operations and in-depth analysis on the raw data from the Lime SDR, and use built-in precision programs to convert it into information that is closely related to human respiratory rate and has great reference value; The high-definition display screen (6) is connected to the edge computing device via a stable line, and is used to output the user's respiratory rate value obtained after layer-by-layer processing in real time and dynamically.

2. The treadmill breathing detection device based on forward scattering radar according to claim 1 comprises a treadmill and a receiving monitoring device, characterized in that: A transmitting antenna (2) is arranged at the front end of the treadmill body (1); a high-definition display screen (6) is supported on the upper end of the treadmill body (1); the receiving monitoring device comprises a receiving antenna (3), a Lime SDR, an edge computing device (5), and a high-resolution camera (4); a camera (4) is arranged at the lower side of the receiving antenna (3); a bracket is arranged at the lower part of the receiving antenna (3) and the high-resolution camera (4); and a high-definition display screen (6) is arranged on the outer wall of the edge computing device.

3. The treadmill breathing detection device based on forward scattering radar according to claim 1 is characterized in that: The output end signal of the transmitting antenna (2) is connected to a Lime SDR, the input end signal of the receiving antenna (3) is connected to a Lime SDR, the output end signals of the Lime SDR and the high-resolution camera (4) are connected to an edge computing device (5), and the receiving end signal of the edge computing device (5) is connected to a high-definition display screen (6).

4. The treadmill breathing detection device based on forward scattering radar according to claim 1 is characterized in that: The radar antenna module has a transmitting antenna (2) on one side of the treadmill body and a receiving antenna (3) on one side of the receiving monitoring device.

5. The treadmill breathing detection device based on forward scattering radar according to claim 1, characterized in that: The edge computing device (5) includes a personal computer, a Raspberry Pi, a Luban Cat, and a Taishan Pi.

6. According to claim 1, the treadmill breathing detection device based on forward scatter radar has another core highlight in that the edge computing device (5) is carefully built with an algorithm module specially developed for respiratory rate monitoring, which can quickly and accurately convert the massive and complex data received from the Lime SDR into intuitive and easy-to-understand respiratory rate values.

7. According to the forward scattering radar-based treadmill breathing detection device of claim 1, a considerate and practical design is that the surface of the screen (6) is evenly coated with a layer of high-tech anti-glare coating, so that when the light conditions around the treadmill are complex and changeable, especially when strong light is irradiated, the user can still clearly see the breathing frequency displayed on the screen without any hindrance.

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