Non-contact heart rate monitoring system, office table and method

Abstract

The invention relates to the technical field of heart rate monitoring, and discloses a non-contact heart rate monitoring system, office table and method, comprising an office table and a heart rate monitoring management device; the office table is provided with a prompting device and a vibration sensor; the vibration sensor collects a vibration signal generated by the contact surface of the skin of the current using object and the office table, and converts the collected vibration signal into a BCG heart impact signal; the heart rate monitoring management equipment receives the BCG heart impact signal, determines heart rate monitoring data based on the BCG heart impact signal, identifies the heart rate monitoring data through a heart rate monitoring model to obtain the current heart rate state of the current use object, and sends a prompt signal to the prompt device based on the current heart rate state; and the prompting device receives the prompting signal sent by the heart rate monitoring management equipment so as to give out a prompting action aiming at the current use object. The problem that the heart rate monitoring needs to be in direct contact with the skin and cannot be monitored in real time in the prior art is solved, and office table application for real-time monitoring in combination with the heart rate is achieved.

Description

Technical Field

[0001] The present application relates to the field of heart rate monitoring technology, and in particular to a non-contact heart rate monitoring system, a desk and a method. Background Art

[0002] With the improvement of health awareness, people are paying more and more attention to new health monitoring technologies. In related technologies, heart rate monitoring requires professional medical staff to operate instruments and equipment, and the electrodes are attached to the skin surface. The monitored person may feel uncomfortable, and the monitoring is complex and costly. At the same time, users need to go to the hospital for heart rate monitoring, which cannot provide real-time warning reminders and cannot meet the needs of users for real-time heart rate monitoring. Summary of the invention

[0003] The present application provides a non-contact heart rate monitoring system, desk and method, which solves the technical problem that heart rate monitoring in related technologies requires direct contact with the skin and cannot be monitored in real time. By capturing the weak vibrations generated by the current user's heart and arterial blood circulation on the desk in real time to analyze the current user's heart rate changes, the technical effect of being able to conveniently monitor the heart rate in real time while working is achieved.

[0004] In order to achieve the above objectives, the main technical solutions adopted in this application include:

[0005] In a first aspect, an embodiment of the present application provides a non-contact heart rate monitoring system, comprising a desk and a heart rate monitoring management device; wherein the desk is configured with a prompt device and a vibration sensor; the vibration sensor is arranged on the desktop of the desk; the prompt device and the vibration sensor are respectively connected to the heart rate monitoring management device for communication, and a heart rate monitoring model is pre-deployed in the heart rate monitoring management device;

[0006] The vibration sensor is configured to collect a vibration signal generated by the contact surface between the skin of the current user and the desk, and convert the collected vibration signal into a BCG heart ballistic signal;

[0007] The heart rate monitoring management device is configured to receive the BCG heart shock signal, determine the heart rate monitoring data based on the BCG heart shock signal, identify the heart rate monitoring data through the heart rate monitoring model, obtain the current heart rate state of the current user, and send a prompt signal to the prompt device based on the current heart rate state;

[0008] The prompting device is configured to receive the prompting signal sent by the heart rate monitoring management device to issue a prompting action to the current user.

[0009] The present application is equipped with a high-sensitivity vibration sensor that collects vibration signals. It analyzes the heart rate changes of the current user by capturing the weak vibrations generated by the heart and arterial blood circulation of the current user on the office desk in real time, and uses the heart rate monitoring management device to analyze the changes in the heart rate peak state in real time to determine the heart health status of the current user, thereby achieving the technical effect of being able to conveniently monitor the heart rate in real time while working, and overcoming the technical problem that heart rate monitoring in related technologies requires direct contact with the skin and cannot be monitored in real time.

[0010] Optionally, the prompt signal includes a first prompt signal and a second prompt signal, wherein the urgency of the second prompt signal is greater than the urgency of the first prompt signal; the current heart rate state includes an abnormal heart rate state and an arrhythmia state; and the heart rate monitoring management device is further configured to:

[0011] If it is determined that the heart rate state is in the abnormal heart rate state, sending the first prompt signal to the prompt device;

[0012] If it is determined that the heart rate state is in the arrhythmia state, the second prompt signal is sent to the prompt device.

[0013] Different levels of urgency can help the current user to identify and process prompt information more effectively. Prompt signals with high urgency can attract the current user's high attention, thereby prompting him or her to take immediate action.

[0014] Optionally, the desk is further configured with a wireless data terminal connected to the heart rate monitoring management device; the heart rate monitoring management device is further configured to: send the current heart rate status to the wireless data terminal;

[0015] The wireless data terminal is configured to receive the current heart rate state and transmit the current heart rate state to the cloud platform, so that the cloud platform records the current heart rate state of the current user.

[0016] Optionally, the heart rate monitoring management device is further configured to: remove interference signal processing from the BCG heart shock signal to obtain a heart rate monitoring signal, and identify the heart rate monitoring signal based on the heart rate monitoring model. Removing interference signals can be noise filtering processing, moving average processing and adaptive filtering processing to effectively improve the accuracy and reliability of heart rate monitoring.

[0017] Optionally, the heart rate monitoring model is constructed based on a convolutional neural network, a machine learning attention mechanism network and an LSTM long short-term memory network; the network architecture of the heart rate monitoring model includes a convolutional layer, a downsampling layer, a fully connected layer and an output layer connected in sequence.

[0018] Optionally, the prompt device is configured as one or more of an audio-visual prompt device or a vibration prompt device. The audio-visual prompt device can be an alarm or voice reminder, or a flashing light or display indication, so as to effectively convey information in a noisy environment. The vibration prompt device is suitable for the current user to use in a quiet environment, such as a device used in a meeting or at night, and can effectively convey emergency information without disturbing others' work.

[0019] In a second aspect, an embodiment of the present application provides a non-contact heart rate monitoring desk, the desk is equipped with a prompt device and a vibration sensor; the vibration sensor is arranged on the desktop of the desk;

[0020] The vibration sensor is configured to collect a vibration signal generated by the contact surface between the skin of the current user and the desk, and convert the collected vibration signal into a BCG heart ballistic signal;

[0021] The prompt device is configured to prompt the current user based on the prompt signal sent by the heart rate monitoring management device so as to monitor the heart rate of the current user; wherein the prompt signal is generated by the current heart rate state of the current user, and the current heart rate state is obtained by identifying the heart rate monitoring data through the heart rate monitoring model deployed in the heart rate monitoring management device.

[0022] Optionally, the office desk is further configured with a fixed bracket and a storage cabinet, the fixed bracket is configured to maintain relative stability between the desktop of the office desk and the vibration sensor, and the number of the storage cabinets is greater than or equal to one.

[0023] In a third aspect, an embodiment of the present application provides a non-contact heart rate monitoring method, including:

[0024] Collecting a vibration signal generated by the contact surface between the skin of the current user and the desk, and converting the collected vibration signal into a BCG heart ballistic signal;

[0025] receiving the BCG heart shock signal, determining heart rate monitoring data based on the BCG heart shock signal, identifying the heart rate monitoring data through a heart rate monitoring model, obtaining a current heart rate state of the current user, and sending a prompt signal based on the current heart rate state;

[0026] A prompt action is issued to the current user based on the prompt signal to monitor the heart rate of the current user.

[0027] Optionally, the method further includes: sending the current heart rate state to a cloud platform so that the cloud platform records the current heart rate state of the current user. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the specific implementation methods of the present application or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0029] Figure 1 A schematic diagram of a desk in a non-contact heart rate monitoring system provided by an embodiment of the present invention;

[0030] Figure 2 A data acquisition flow chart of a heart rate monitoring signal based on a wireless data terminal provided in an embodiment of the present invention;

[0031] Figure 3 A schematic diagram of processing heart rate monitoring data by a heart rate monitoring model provided in an embodiment of the present invention;

[0032] Figure 4 Schematic diagram of the network architecture of the heart rate monitoring model provided by the embodiment of the present invention Figure 1 ;

[0033] Figure 5 Schematic diagram of the network architecture of the heart rate monitoring model provided by the embodiment of the present invention Figure 2 ;

[0034] Figure 6 Schematic diagram of the network architecture of the heart rate monitoring model provided by the embodiment of the present invention Figure 3 ;

[0035] Figure 7 A schematic diagram of a non-contact heart rate monitoring desk provided by an embodiment of the present invention;

[0036] Figure 8 A front view of a non-contact heart rate monitoring desk provided by an embodiment of the present invention Figure 1 ;

[0037] Fig. 9 A top view of a non-contact heart rate monitoring desk provided by an embodiment of the present invention;

[0038] Fig.10 A front view of a non-contact heart rate monitoring desk provided by an embodiment of the present invention Figure 2 ;

[0039] In the figure, 1. a fixing bracket, 2. a wireless data terminal, 3. a locker, 4. a vibration sensor, and 5. a prompt device. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0041] With the improvement of health awareness, people are paying more and more attention to new health monitoring technologies. In related technologies, heart rate monitoring requires professional medical staff to operate instruments and equipment, and the electrodes are attached to the skin surface. The monitored person may feel uncomfortable, and the monitoring is complex and costly. At the same time, users need to go to the hospital for heart rate monitoring, which cannot provide real-time warning reminders and cannot meet the needs of users for real-time heart rate monitoring.

[0042] An embodiment of the present application provides a non-contact heart rate monitoring system, including a desk and a heart rate monitoring management device; wherein the desk is equipped with a prompt device 5 and a vibration sensor 4; the vibration sensor 4 is arranged on the desktop of the desk; the prompt device 5 and the vibration sensor 4 are respectively communicated with the heart rate monitoring management device, and a heart rate monitoring model is pre-deployed in the heart rate monitoring management device.

[0043] Reference Figure 1 , wherein the vibration sensor 4 is arranged on the desktop of the office desk, and the current user needs to ensure that the vibration sensor 4 is firmly installed on the desktop to avoid false triggering due to the movement of the desktop. The heart rate monitoring model can analyze the heart rate data in real time and identify abnormal patterns or abnormal trends of the heart, such as too fast heart rate, too slow heart rate or irregular heart rate.

[0044] The vibration sensor 4 is configured to collect vibration signals generated by the contact surface between the skin of the current user and the desk, and convert the collected vibration signals into BCG heart ballistic signals.

[0045] The vibration sensor 4 may be an accelerometer or a piezoelectric sensor to ensure its sensitivity to slight vibrations. The skin of the current user may be the skin of the hand or arm of the current user. By analyzing the vibration signal generated by the contact surface between the skin of the current user and the desk, it can be determined whether the current user maintains a correct sitting posture or changes posture frequently, so as to reduce health problems caused by long-term sitting.

[0046] BCG heart impact signal can be the change of external pressure of human body caused by heart beat and blood circulation in large arteries, which is used for contactless heart activity detection. These data contain tiny motion signals caused by heart beat, reflecting the change of heart rate. The collected vibration signal can be converted into BCG heart impact signal by processing through cardiovascular dynamics model. If the collected vibration signal is weak, signal enhancement technology (such as time domain and frequency domain analysis) is used to improve the clarity and accuracy of BCG heart impact signal.

[0047] The heart rate monitoring management device is configured to receive the BCG heart beat signal, determine the heart rate monitoring data based on the BCG heart beat signal, identify the heart rate monitoring data through the heart rate monitoring model, obtain the current heart rate state of the current user, and send a prompt signal to the prompt device 5 based on the current heart rate state. The heart rate monitoring data can be called a heart rate monitoring signal.

[0048] Determining the heart rate monitoring data based on the BCG heart shock signal may be: extracting the features related to the heart beat from the BCG heart shock signal, including the vibration amplitude and timing generated by each heart beat, determining the heartbeat interval by finding the peaks in the BCG heart shock signal (representing each heart beat), and calculating the heart rate according to the time interval between the peaks. The heart rate monitoring model recognizes that the current heart rate state of the current user may be a resting heart rate, a normal activity heart rate, an abnormal heart rate, or a sleeping heart rate. The resting heart rate may be a heart rate measured in a stationary state, usually measured when awake. The normal activity heart rate may be a heart rate during daily activities or light exercise, usually measured at work. An abnormal heart rate may be a heart rate indicating weakened heart function or potential health problems, usually occurring when the current user is under stress, anxious, dehydrated, or has heart problems. The sleeping heart rate may be a heart rate in a deep sleep stage, usually measured when the current user is in a sleeping state.

[0049] The prompting device 5 is configured to receive a prompting signal sent by the heart rate monitoring management device to issue a prompting action to the current user.

[0050] The prompt device 5 can be used to prompt the current user through vibration, sound or visual signals. The visual signal can be in the form of a flashing LED light. The prompt device 5 can also be connected to a mobile phone or other smart device to enable the current user to view heart rate data on a visual interface. Receiving the prompt signal sent by the heart rate monitoring management device can be done by pairing the heart rate monitoring device with a Bluetooth module to receive real-time heart rate data and prompt signals, or by using a standard communication protocol (such as BLE, Zigbee, etc.), or by receiving data through a local area network to ensure seamless connection and communication between the two.

[0051] Heart rate monitoring in related technologies usually requires wearing devices such as heart rate belts or bracelets, while this application achieves heart rate monitoring by monitoring the tiny movements of the human body on the office desk. It does not require additional equipment and has the advantages of being convenient and non-invasive.

[0052] The present application is equipped with a high-sensitivity vibration sensor 4 for collecting vibration signals. It analyzes the heart rate changes of the current user by capturing the weak vibrations generated by the heart and arterial blood circulation of the current user on the office desk in real time, and uses the heart rate monitoring management device to analyze the changes in the heart rate peak state in real time to judge the heart health status of the current user, thereby achieving the technical effect of being able to conveniently monitor the heart rate in real time while working, and overcoming the technical problem that the heart rate monitoring in the related technology requires direct contact with the skin and cannot be monitored in real time.

[0053] Optionally, the prompt signal includes a first prompt signal and a second prompt signal, wherein the urgency of the second prompt signal is greater than the urgency of the first prompt signal; and the current heart rate state includes an abnormal heart rate state and an arrhythmia state. The heart rate monitoring management device is further configured to:

[0054] If the heart rate state is determined to be in an abnormal heart rate state, a first prompt signal is sent to the prompt device 5; if the heart rate state is determined to be in an arrhythmia state, a second prompt signal is sent to the prompt device 5. Among them, the first prompt signal is used to remind the current user to pay attention to the heart rate state, but the urgency is relatively low, and it can be a health tip for the desk. The second prompt signal is used for emergency situations or heart rate alarms that require immediate attention. The urgency is higher than the first prompt signal, and it can be an abnormal heart rate or health risk alarm. Different urgency levels can help the current user identify and process prompt information more effectively. Prompt signals with high urgency can attract the current user's high attention, thereby prompting them to take immediate action.

[0055] Optionally, the desk is also configured with a wireless data terminal 2 connected to the heart rate monitoring management device; the heart rate monitoring management device is further configured to: send the current heart rate status to the wireless data terminal 2.

[0056] The wireless data terminal 2 is configured to receive the current heart rate status and transmit the current heart rate status to the cloud platform so that the cloud platform records the current heart rate status of the current user. The cloud platform can use charts and graphs to intuitively display the heart rate change trend of the current user. It can be to regularly back up data to prevent loss to ensure the persistence and reliability of data. It can also be to implement user identity authentication and authorization mechanisms to ensure that only authorized users can access their corresponding heart rate data.

[0057] Reference Figure 2The data acquisition process of the heart rate monitoring signal based on the wireless data terminal 2 is that the heart rate monitoring signal passes through the sensor layer, network transmission layer, cloud platform and application layer in sequence. In the network transmission layer, the real-time monitoring record of the heart rate status of the current user is uploaded through the wireless data terminal 2. The smart phone can access the cloud platform through the 5G network and TCP / IP network to upload and download the heart rate monitoring data, making it convenient for the current user to obtain the heart rate monitoring results and reports at any time. At the same time, the backup and synchronization of the heart rate monitoring data are realized to ensure the security and reliability of the heart rate monitoring data.

[0058] The cloud platform is deployed with a cloud heart rate monitoring database, which provides structured data storage and management functions, and provides convenient data access and management services for current users. The cloud platform is also deployed with artificial intelligence (AI) and cloud computing tasks for processing and analyzing large-scale heart rate monitoring data, which can provide valuable disease prediction and pre-diagnosis services for current users. On the cloud platform, AI algorithms can perform deep learning and pattern recognition on the heart rate data of current users, discover potential heart health problems and provide early warning information.

[0059] Furthermore, the current user can view the heart rate monitoring results or generate a health report through the application layer interface, and even receive personalized health advice and guidance, realizing all-weather, all-round heart rate monitoring and health management, understanding their heart rate status at any time, detecting abnormal situations in time and taking corresponding measures.

[0060] Optionally, the heart rate monitoring management device is also configured to: remove interference signal processing of the BCG heart impact signal to obtain a heart rate monitoring signal, and identify the heart rate monitoring signal based on the heart rate monitoring model. Removing interference signals can be noise filtering processing, moving average processing and adaptive filtering processing to effectively improve the accuracy and reliability of heart rate monitoring. Noise filtering processing can be the use of a filter to remove high-frequency or low-frequency noise, moving average processing can be the application of a moving average method to smooth the signal to reduce the impact of random fluctuations on the BCG heart impact signal, and adaptive filtering processing can be the use of an adaptive filter to dynamically adjust the filtering parameters according to the real-time signal.

[0061] Optionally, the heart rate monitoring model is constructed based on a convolutional neural network, a machine learning attention mechanism network and an LSTM long short-term memory network; the network architecture of the heart rate monitoring model includes a convolutional layer, a downsampling layer, a fully connected layer and an output layer connected in sequence.

[0062] Among them, refer to Figure 3The heart rate monitoring model is built based on the convolutional neural network model, specifically the CNN convolutional neural network. The CNN convolutional neural network can perform signal preprocessing, feature extraction processing and feature classification processing on the heart rate monitoring data in sequence, so as to judge whether the heart rate state is in an abnormal heart rate state, so as to improve the accuracy of the heart rate monitoring model.

[0063] First, the vibration sensor 4 collects the vibration signal generated by the contact surface between the skin of the current user and the desk, and converts the collected vibration signal into a BCG heart impact signal, and then determines the heart rate monitoring data based on the BCG heart impact signal. Further, the heart rate monitoring management device also includes a charge amplifier circuit, which is configured to amplify the BCG heart impact signal, and then determines the heart rate monitoring data based on the amplified BCG heart impact signal, so that the heart rate monitoring data processed by the heart rate monitoring model is clearer and more convenient.

[0064] Next, the CNN convolutional neural network can remove noise and interference in the signal preprocessing stage, smooth the heart rate monitoring data, improve the quality and stability of the BCG heart impact signal, reduce misjudgment and errors in subsequent processing, and ensure the accuracy of the final monitoring results. Secondly, the CNN convolutional neural network can extract key features of the BCG heart impact signal in the feature extraction processing stage, such as frequency features, amplitude features, and waveform features, and extract features that are important for judging the heart rate state of the heart, providing support for subsequent health abnormality judgments. Finally, the CNN convolutional neural network can effectively identify different heart rate states, such as abnormal heart rate or arrhythmia, in the feature classification processing stage.

[0065] After training and optimization, the CNN convolutional neural network associates the extracted heart rate features with the heart rate status to accurately classify abnormal conditions, so that the current user can promptly learn and deal with their own heart health problems. The heart rate monitoring model is based on the deep learning CNN convolutional neural network to monitor the BCG heart shock signal, which effectively improves the accuracy of judging abnormal conditions of heart health.

[0066] Reference Figure 4 The heart rate monitoring model is built based on a machine learning attention mechanism network. The machine learning attention mechanism simulates the human attention mechanism and can focus on learning and processing the input BCG heart shock signal data, thereby improving the performance and generalization ability of the heart rate monitoring model.

[0067] The data processing flow of the heart rate monitoring model can be that the query items, key items and input values ​​are processed by the first fully connected layer and input together into a separate first attention layer. At the same time, the query items, key items and input values ​​processed by the first fully connected layer are respectively input into the corresponding second fully connected layer, the data processed by the second fully connected layer is input into the second attention layer, the data processed by the first attention layer and the data processed by the second attention layer are input into the connection layer together, and finally input into the third fully connected layer after processing by the connection layer.

[0068] By combining the machine learning attention mechanism, the heart rate monitoring model pays more attention to the important parts when processing BCG heart shock signal data, reduces the interference of irrelevant information, and improves the accuracy and efficiency of the heart rate monitoring model. At the same time, the heart rate monitoring model pays more attention to the key information in the heart rate monitoring data, such as the frequency information, amplitude information and rhythm information of the heart rate change, so as to more accurately judge the heart rate status of the current user.

[0069] Through the machine learning attention mechanism network, the heart rate monitoring model can realize adaptive processing and analysis of the heart rate data of the current user, and adjust the focus of the heart rate monitoring model according to the actual situation of the heart rate monitoring model to improve the accuracy and practicality of the monitoring results. When the current user is under high stress or performing high-intensity work, the machine learning attention mechanism allows the heart rate monitoring model to pay more attention to abnormal fluctuations in the heart rate data, detect potential heart rate abnormalities in a timely manner, and remind the current user to adjust the working status in time.

[0070] Furthermore, the heart rate monitoring model combined with the machine learning attention mechanism can also perform customized monitoring and analysis based on the personalized needs and health status of the current user, providing more personalized health management services for the current user. By continuously learning the heart rate data and feedback information of the current user, the heart rate monitoring model can gradually optimize the monitoring algorithm, improve the experience and health management effect of the current user, and provide more accurate heart rate monitoring.

[0071] Reference Figure 5 The heart rate monitoring model is built based on the LSTM long short-term memory network. The LSTM long short-term memory network can process sequence data and enhance the anti-interference ability of the heart rate monitoring model. In the heart rate monitoring of the heart rate monitoring model, the LSTM long short-term memory network can process and analyze the heart shock signal data collected from the desk based on the sequence data processing technology, thereby realizing accurate monitoring and prediction of heart rate changes.

[0072] Specifically, the heart rate monitoring data is input as vector data into the LSTM long short-term memory layer for processing, and then passes through the self-attention layer and the fully connected layer in sequence to obtain the predicted value of the heart rate monitoring signal. The LSTM long short-term memory network effectively processes the time series data in the heart rate monitoring data through the gated structure and memory unit, and captures the long-term dependencies in the heart rate monitoring data, thereby capturing the changing patterns of the heart rate. The heart rate monitoring model predicts the future trend of heart rate changes through the input of historical heart rate monitoring data, and realizes real-time monitoring and analysis of the heart rate. The LSTM network can also identify and filter out noise and interference in the BCG heart shock signal to improve the accuracy and stability of monitoring.

[0073] Reference Figure 6 The network architecture of the heart rate monitoring model includes a convolutional layer, a downsampling layer, a fully connected layer and an output layer connected in sequence. Specifically, the network architecture of the heart rate monitoring model includes two groups of convolutional modules connected in sequence, the convolutional module includes a convolutional layer and a downsampling layer connected in sequence, and the output layer includes a fully connected layer and a function activation layer connected in sequence.

[0074] Optionally, the prompt device 5 is configured as one or more of an audio-visual prompt device 5 or a vibration prompt device 5. The audio-visual prompt device 5 can be an alarm or voice reminder, or a flashing light or display indication, so as to effectively convey information in a noisy environment. The vibration prompt device 5 is suitable for the current user to use in a silent environment, such as a device used in a meeting or at night, and can effectively convey emergency information without disturbing others' work.

[0075] The embodiment of the present application provides a non-contact heart rate monitoring desk, which is equipped with a prompt device 5 and a vibration sensor 4; the vibration sensor 4 is arranged on the desktop of the desk.

[0076] The vibration sensor 4 is configured to collect vibration signals generated by the contact surface between the skin of the current user and the desk, and convert the collected vibration signals into BCG heart ballistic signals.

[0077] The prompt device 5 is configured to prompt the current user based on the prompt signal sent by the heart rate monitoring management device so as to monitor the heart rate of the current user; wherein the prompt signal is generated by the current heart rate state of the current user, and the current heart rate state is obtained by identifying the heart rate monitoring data through the heart rate monitoring model deployed in the heart rate monitoring management device.

[0078] Reference Figure 7The present application provides an intelligent and convenient non-contact heart rate monitoring desk, which is equipped with a highly sensitive vibration sensor 4 and a prompt device 5. The vibration sensor 4 is connected to the heart rate monitoring management device for communication, and can collect the vibration signal generated by the contact surface between the skin of the current user and the desk in real time and send it to the heart rate monitoring management device. The heart rate monitoring management device identifies the collected BCG heart impact signal, and uploads the current heart rate state of the current user after identification to the cloud platform to realize the visualization of heart rate monitoring. The prompt device 5 prompts the current user based on the prompt signal sent by the heart rate monitoring management device to monitor the heart rate of the current user. The heart rate monitoring desk provided by the present application will play an important role in the future health field and improve people's attention to and management level of heart health.

[0079] Optionally, the office desk is further configured with a fixed bracket 1 and a storage cabinet 3, the fixed bracket 1 is configured to maintain relative stability between the desk desktop and the vibration sensor 4, and the number of the storage cabinets 3 is greater than or equal to one.

[0080] Reference Figures 8 to 10 Specifically, the appearance size of a non-contact heart rate monitoring desk is 1600mm*800mm*750mm, and a fixed bracket 1 and a storage cabinet 3 are distributed outside the desk. The fixed bracket 1 is deployed on the left and right sides under the desk board to stabilize the desk surface, thereby maintaining the relative stability of the desk desk and the vibration sensor 4. The storage cabinet 3 is arranged on the left and right sides under the desk board, and each has two layers, which is used to store items and provide convenience for office work.

[0081] The office desk is equipped with a vibration sensor 4, a wireless data terminal 2 and a prompt device 5: the vibration sensor 4 can be set on the desktop, that is, placed on the table, with a certain height, and a 40mm protrusion. The shell of the vibration sensor 4 is a cube with a size of 40mm*50mm*50mm. Furthermore, the vibration sensor 4 can also be a sensor made of flexible materials, which is made of materials such as silicone and polymers, has certain flexibility and adaptability, and can adapt to the surfaces of different office desks.

[0082] The wireless data terminal 2 can be set at the right corner of the table, and can be a transmission device for transmitting BCG heart shock signals, and the device size is 100mm*150mm*50mm. The prompt device 5 can be set at the lower left of the desktop, and can be a square heart rate abnormal vibration and broadcast warning device, and the device size is 100mm*50mm*50mm.

[0083] The present application provides a non-contact heart rate monitoring method, including:

[0084] The vibration signal generated by the contact surface between the skin of the current user and the desk is collected, and the collected vibration signal is converted into a BCG heart ballistic signal.

[0085] Receive a BCG heart beat signal, determine heart rate monitoring data based on the BCG heart beat signal, identify the heart rate monitoring data through a heart rate monitoring model, obtain the current heart rate state of the current user, and send a prompt signal based on the current heart rate state.

[0086] Based on the prompt signal, a prompt action is issued to the current user to monitor the heart rate of the current user.

[0087] Optionally, the method may further include: sending the current heart rate state to the cloud platform, so that the cloud platform records the current heart rate state of the current user.

[0088] The present application provides a computer device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform a non-contact heart rate monitoring method provided in the above embodiment.

[0089] The computer device includes: one or more processors, memory, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system).

[0090] The processor may be a central processing unit, a network processor or a combination thereof. The processor may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0091] The memory stores instructions executable by at least one processor, so that the at least one processor executes the method shown in the above embodiment.

[0092] The memory may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the storage may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0093] The memory may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid state drive; the memory may also include a combination of the above types of memory.

[0094] The computer device also includes a communication interface, which is used for the computer device to communicate with other devices or a communication network.

[0095] The present application provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions are used to enable a computer to execute a non-contact heart rate monitoring method provided in the above embodiment.

[0096] The embodiment of the present application also provides a computer-readable storage medium. The above method according to the embodiment of the present application can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0097] The embodiment of the present application provides a computer program product, which includes computer instructions, which are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the method of any embodiment of the present application.

[0098] Although the embodiments of the present application are described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present application, and such modifications and variations are all within the scope defined by the appended claims.

[0099] The systems, devices, modules or units described in the above embodiments may be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, the computer may be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

[0100] For the convenience of description, the above device is described in various units according to their functions. Of course, when implementing the present application, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0101] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0102] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0103] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0104] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0105] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0106] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0107] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

[0108] Although the embodiments of the present application have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present application, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A non-contact heart rate monitoring system, characterized in that: It includes a desk and a heart rate monitoring management device; wherein the desk is equipped with a prompt device and a vibration sensor; the vibration sensor is arranged on the desktop of the desk; the prompt device and the vibration sensor are respectively connected to the heart rate monitoring management device for communication, and a heart rate monitoring model is pre-deployed in the heart rate monitoring management device; The vibration sensor is configured to collect a vibration signal generated by the contact surface between the skin of the current user and the desk, and convert the collected vibration signal into a BCG heart ballistic signal; The heart rate monitoring management device is configured to receive the BCG heart shock signal, determine the heart rate monitoring data based on the BCG heart shock signal, identify the heart rate monitoring data through the heart rate monitoring model, obtain the current heart rate state of the current user, and send a prompt signal to the prompt device based on the current heart rate state; The prompting device is configured to receive the prompting signal sent by the heart rate monitoring management device to issue a prompting action to the current user.

2. The system according to claim 1, characterized in that The prompt signal includes a first prompt signal and a second prompt signal, wherein the urgency of the second prompt signal is greater than the urgency of the first prompt signal; the current heart rate state includes an abnormal heart rate state and an arrhythmia state; the heart rate monitoring management device is further configured to: If it is determined that the heart rate state is in the abnormal heart rate state, sending the first prompt signal to the prompt device; If it is determined that the heart rate state is in the arrhythmia state, the second prompt signal is sent to the prompt device.

3. The system according to claim 1, characterized in that The desk is also equipped with a wireless data terminal connected to the heart rate monitoring management device; the heart rate monitoring management device is also configured to: send the current heart rate status to the wireless data terminal; The wireless data terminal is configured to receive the current heart rate state and transmit the current heart rate state to the cloud platform, so that the cloud platform records the current heart rate state of the current user.

4. The system according to claim 1, characterized in that The heart rate monitoring management device is further configured to: remove interference signals from the BCG heart shock signal to obtain a heart rate monitoring signal, and identify the heart rate monitoring signal based on the heart rate monitoring model.

5. The system according to claim 1, characterized in that The heart rate monitoring model is constructed based on a convolutional neural network, a machine learning attention mechanism network and an LSTM long short-term memory network; the network architecture of the heart rate monitoring model includes a convolutional layer, a downsampling layer, a fully connected layer and an output layer connected in sequence.

6. The system according to claim 1, characterized in that The prompt device is configured as one or more of an audio-visual prompt device or a vibration prompt device.

7. A non-contact heart rate monitoring desk, characterized in that: The office desk is equipped with a prompting device and a vibration sensor; the vibration sensor is arranged on the desktop of the office desk; The vibration sensor is configured to collect a vibration signal generated by the contact surface between the skin of the current user and the desk, and convert the collected vibration signal into a BCG heart ballistic signal; The prompt device is configured to prompt the current user based on the prompt signal sent by the heart rate monitoring management device so as to monitor the heart rate of the current user; wherein the prompt signal is generated by the current heart rate state of the current user, and the current heart rate state is obtained by identifying the heart rate monitoring data through the heart rate monitoring model deployed in the heart rate monitoring management device.

8. The desk according to claim 7, characterized in that: The office desk is also equipped with a fixed bracket and a storage cabinet. The fixed bracket is configured to keep the desktop of the office desk and the vibration sensor relatively stable. The number of the storage cabinets is greater than or equal to one.

9. A non-contact heart rate monitoring method, characterized in that: include: Collecting a vibration signal generated by the contact surface between the skin of the current user and the desk, and converting the collected vibration signal into a BCG heart ballistic signal; receiving the BCG heart shock signal, determining heart rate monitoring data based on the BCG heart shock signal, identifying the heart rate monitoring data through a heart rate monitoring model, obtaining a current heart rate state of the current user, and sending a prompt signal based on the current heart rate state; A prompt action is issued to the current user based on the prompt signal to monitor the heart rate of the current user.

10. The method according to claim 9, characterized in that The method further includes: sending the current heart rate state to a cloud platform so that the cloud platform records the current heart rate state of the current user.

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