Physiological signal display device for magnetic resonance imaging system

Abstract

The utility model relates to a physiological signal display device for a magnetic resonance imaging system, and the device comprises a signal collection device which is configured to collect human body physiological signals in a non-contact manner; the signal integration and transfer device is connected with the signal acquisition device, and the signal integration and transfer device is configured to process the human body physiological signal to obtain a signal to be displayed; and the signal display device is connected with the signal integration and transfer device, and the signal display device is configured to display the signal to be displayed. The problem that in the prior art, physiological signal data of big data and high-speed data flow cannot be processed when a magnetic resonance imaging system collects and displays physiological signals before scanning is solved.

Description

Technical Field

[0001] This application relates to the field of physiological signal processing technology, and in particular to a physiological signal display device for a magnetic resonance imaging system. Background Technology

[0002] In the field of physiological signal monitoring in magnetic resonance imaging (MRI) systems, physiological signals of patients are mainly displayed through physiological signal display devices installed on magnet attachments. While this can assist doctors in assessing the patient's physical condition and deciding whether imaging scans are feasible, it primarily relies on contact-type sensors such as airbags, finger cots, and ECG electrodes to acquire physiological signals. These sensors need to be installed on the patient's body, which is cumbersome and time-consuming. Prolonged use can easily cause discomfort such as skin allergies in patients, and the accuracy and stability of the installation affect signal quality, limiting the reliability of data acquisition. Furthermore, existing signal processing devices only undertake simple signal relay tasks and are unable to handle the ever-increasing demands for big data and high-speed data streams in the current medical monitoring field.

[0003] There is currently no effective solution to the above problems. Utility Model Content

[0004] This application provides a physiological signal display device for a magnetic resonance imaging system to solve the technical problem that the existing magnetic resonance imaging system cannot process large amounts of big data and high-speed data streams of physiological signal data before scanning. By non-contactly collecting human physiological signals, the device processes the human physiological signals through a signal collection and transfer device capable of processing large amounts of big data and high-speed data streams to obtain the signal to be displayed, thereby improving the reliability of the physiological signal display device.

[0005] According to one aspect of the embodiments of this application, this application provides a physiological signal display device for a magnetic resonance imaging system, comprising:

[0006] A signal acquisition device, configured to acquire human physiological signals in a non-contact manner;

[0007] A signal integration and relay device is connected to the signal acquisition device, and the signal integration and relay device is configured to process the human physiological signals to obtain a signal to be displayed.

[0008] A signal display device, which is connected to the signal integration and relay device, is configured to display the signal to be displayed.

[0009] Optionally, the signal integration and relay device is provided with multiple reserved interfaces for adapting to different models of the signal acquisition device, including low-speed interfaces and high-speed interfaces.

[0010] Optionally, the signal acquisition device is wirelessly connected to the signal integration and relay device.

[0011] Optionally, the signal integration and relay device includes at least one of an MCU, a DSP, and an FPGA.

[0012] Optionally, the signal acquisition device includes at least one of a millimeter-wave radar device, a video pulse wave acquisition device, and a defocus speckle acquisition device.

[0013] Optionally, the millimeter-wave radar device is equipped with a signal generator and a signal receiver. The millimeter-wave radar device is configured to send test signals to the human chest and abdomen through the signal generator, receive motion information fed back from the human chest and abdomen through the signal receiver, and extract respiratory signals and heartbeat signals based on the motion information.

[0014] Optionally, the signal display device includes a first signal display and a second signal display. The first signal display is used to display a first signal to be displayed obtained by processing the respiratory signal through the signal integration and relay device, and the second signal display is used to display a second signal to be displayed obtained by processing the heartbeat signal through the signal integration and relay device.

[0015] Optionally, the signal integration and relay device sends the signal to be displayed to the signal display device via DMA mode.

[0016] Optionally, the signal integration and relay device is connected to the signal display device via an optical fiber assembly.

[0017] Optionally, the signal display device includes a signal display screen or a touch screen.

[0018] Compared with related technologies, the technical solutions provided in this application have the following advantages:

[0019] This application utilizes non-contact signal acquisition devices, such as millimeter-wave radar, video pulse wave acquisition devices, and defocus speckle acquisition devices, to acquire human physiological signals. This avoids the problems of traditional contact sensors, which are cumbersome, time-consuming, and prone to causing skin allergies and other discomforts with prolonged use. It also reduces the impact of installation accuracy and stability on signal quality, thus improving the reliability of the acquisition. The signal integration and relay device of this application has the capability to process large amounts of data and high-speed data streams. It is equipped with multiple reserved interfaces (including low-speed and high-speed interfaces) to adapt to different models of signal acquisition devices. It also includes components such as MCU, DSP, and FPGA, better meeting the growing data processing needs in the medical monitoring field. This overcomes the limitations of previous signal processing devices that only performed simple signal relay tasks, improving the practicality and adaptability of the entire physiological signal display device. By utilizing DMA mode to send the signal to be displayed to the signal display device, the signal integration and relay device can directly control the data transmission channel between the memory and the signal display device without frequent processor intervention. This achieves faster transmission speeds, avoiding congestion issues when transmitting large amounts of data, and allowing medical staff to see the patient's latest physiological changes in near real-time, facilitating timely diagnosis. Simultaneously, the signal integration and relay device is connected to the signal display device via fiber optic components, further ensuring transmission stability and efficiency. By setting up a first signal display to show the processed respiratory signal and a second signal display to show the processed heartbeat signal, the respiratory and heartbeat signals can be clearly displayed separately, allowing medical staff to more intuitively and accurately observe and analyze the patient's different physiological states. Attached Figure Description

[0020] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0021] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, those skilled in the art can obtain other drawings based on these drawings without creative effort.

[0022] Figure 1 This is a schematic diagram of a physiological signal display device for a magnetic resonance imaging system according to an embodiment of this application.

[0023] Figure label:

[0024] 1. Signal acquisition device; 2. Signal integration and relay device; 3. Signal display device. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0026] It should be noted that the terms "first," "second," etc., used in the specification, claims, and drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0027] It should be understood that the term "and / or" used in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0028] In the following description, the use of suffixes such as "module," "part," or "unit" to denote elements is solely for the purpose of illustration and has no specific meaning in itself. Therefore, "module" and "part" may be used interchangeably.

[0029] In related technologies, before scanning the human body, the acquisition and display of physiological signals by magnetic resonance imaging systems cannot handle large amounts of physiological signal data and high-speed data streams.

[0030] To address the problems mentioned in the background section, reference is made to... Figure 1 As shown, this embodiment provides a physiological signal display device for a magnetic resonance imaging system, including a signal acquisition device 1, a signal integration and relay device 2, and a signal display device 3.

[0031] The signal acquisition device 1 is configured to acquire human physiological signals in a non-contact manner; the signal integration and relay device 2 is connected to the signal acquisition device 1 and is configured to process the human physiological signals to obtain the signal to be displayed; the signal display device 3 is connected to the signal integration and relay device 2 and is configured to display the signal to be displayed.

[0032] In the above embodiments, the non-contact signal acquisition device 1 avoids cumbersome installation procedures. The non-contact method is not limited by installation accuracy and stability, and can accurately capture human physiological signals, ensuring reliable signal quality. The signal integration and relay device 2 functions as a data center. After connecting to the signal acquisition device 1, it can handle complex human physiological signals with its powerful hardware and ability to process large amounts of data and high-speed data streams. Whether it's conventional physiological signals or physiological signals like video signals, it can process them quickly and accurately, converting them into signals to be displayed. This greatly improves the overall data processing efficiency of the device, enhances its compatibility with different types of data, and meets the diverse needs of modern medical monitoring. The signal display device 3 is connected to the relay device, presenting the processed signals to be displayed intuitively.

[0033] Understandably, the physiological signal display device 3 disclosed in this embodiment is applicable to magnetic resonance imaging (MRI) systems. Specifically, the signal acquisition device 1 in this embodiment uses a millimeter-wave radar device, which is installed near the magnet of the MRI equipment. The millimeter-wave radar device is equipped with a special shielding layer for electromagnetic shielding to ensure that it will not interfere with the normal imaging of the MRI system, and it will not be affected by magnetic fields, gradient fields, or radio frequency fields. The millimeter-wave radar device has a built-in high-performance signal generator and signal receiver, as well as a low-pass filter and a band-pass filter. After the patient enters the MRI scanning area and lies flat on the examination table, the signal generator continuously sends a test signal X of a specific frequency to the chest and abdomen. TS The subtle movements of the human chest and abdomen caused by breathing and heartbeat will generate a feedback signal X in the test signal. RSThe signal receiver accurately captures this feedback motion information, filters out high-frequency noise and interference signals from the motion signal using a low-pass filter to obtain an intermediate frequency (IF) signal. Then, by sampling the IF signal output from the low-pass filter at specific time intervals, the analog IF signal is digitized into a discrete digital signal. A Fast Fourier Transform (FFT) is then used to convert the time-domain IF signal into a frequency-domain signal, and the distance between the target and the radar is calculated based on the signal's frequency characteristics. Respiratory and heartbeat signals are then extracted from the IF signal after distance calculation via the Fourier Transform, and separated from the heartbeat signals. A band-pass filter is used to select a specific frequency IF signal based on the frequency range. Finally, the RESE-VMD (Relative Entropy-Sample Entropy) algorithm is used for signal decomposition to extract the final respiratory and heartbeat signals.

[0034] Furthermore, the main process of converting the intermediate frequency signal (which is a time-domain signal) into a frequency-domain signal using Fast Fourier Transform is as follows: the signal receiver of the millimeter-wave radar device receives the feedback signal X from the human body. RS First, the signal is passed through a low-pass filter to remove high-frequency noise and interference, resulting in an intermediate frequency (IF) signal. The IF signal output from the low-pass filter is then sampled at specific time intervals, digitizing the original analog IF signal into a discrete digital signal. A Fast Fourier Transform (FFT) is then used to convert the time-domain IF digital signal into a frequency-domain signal. While the time-domain signal displays signal changes over time, the frequency domain clearly reveals the different frequency components and their corresponding amplitudes, facilitating subsequent calculations based on frequency characteristics. Different frequency components exhibit specific characteristics in the frequency domain. The feedback signals from chest and abdominal movements (breathing, heartbeat, etc.) are processed to obtain the corresponding frequency-domain signals, and the frequency changes caused by these movements are related to the distance between the chest, abdomen, and radar. For example, based on the principles of radar signal processing, frequency characteristic parameters such as frequency shift can be correlated with the target's relative speed to the radar (the chest and abdomen have slight speed changes relative to the radar due to breathing and heartbeat). Combined with known parameters such as the radar's transmitted signal frequency, the distance between the chest / abdomen and the radar can be calculated using specific radar ranging formulas (such as formulas derived from the Doppler effect).

[0035] Furthermore, after extracting the patient's respiratory and heartbeat signals, the signals are uploaded in real-time to the signal integration and relay device 2 via a high-speed, stable wireless transmission module. The signal integration and relay device 2, as the core data processing center of the entire system in this embodiment, is capable of complex data operations, such as deep filtering, feature extraction and analysis of the acquired physiological signals, as well as high-speed data caching and preliminary processing to meet real-time requirements. The physiological signal display device 3 in this embodiment is equipped with multiple reserved interfaces, including low-speed interfaces such as RS232 adapted to traditional low-speed physiological signal acquisition devices, and high-speed interfaces for connecting to future devices such as video pulse wave acquisition devices and defocus speckle acquisition devices, ensuring the scalability of this embodiment. Upon receiving physiological signals from the millimeter-wave radar device, the signal integration and relay device 2 integrates and processes these data, converting the respiratory and heartbeat signals into standard displayable data formats to obtain the first and second signals to be displayed.

[0036] In the signal display stage, a signal display screen and a touch screen are used as signal display devices 3. The signal integration and relay device 2 is connected to the signal display screen and touch screen via fiber optic components, sending the respiratory signal and heartbeat signal to them. The signal display screen or touch screen serves as the first signal display, showing the processed respiratory signal as a clear and stable waveform, allowing doctors to accurately observe the patient's breathing from a distant control console. The second signal display shows the processed heartbeat signal and also has interactive functions, allowing doctors to quickly access more detailed physiological parameters of the patient through touch operation, or fine-tune the parameters of the signal acquisition and relay devices, such as adjusting the signal transmission frequency and gain of the millimeter-wave radar device to optimize the acquisition effect of physiological signals.

[0037] In this embodiment, a millimeter-wave radar device is used during magnetic resonance imaging (MRI) examinations of patients with heart disease. The millimeter-wave radar accurately captures the patient's weak but regular heartbeat and stable breathing signals. Even slight patient movement during the scan does not significantly interfere with signal acquisition. The signal integration and relay device 2 efficiently processes the data, transmitting physiological signals to the signal display device 3 in real time. Medical staff observe the precise waveforms on the display screen to determine if the patient's condition is stable and suitable for imaging scanning. The MRI scan is then smoothly initiated. The entire process provides a good patient experience, with no scan interruptions or delays caused by physiological signal monitoring issues, greatly improving the scanning efficiency of the MRI system.

[0038] Optionally, the signal integration and relay device 2 is provided with multiple reserved interfaces for adapting to different models of signal acquisition devices 1. The reserved interfaces include low-speed interfaces and high-speed interfaces.

[0039] Specifically, for example, hospital MRI departments are equipped with various types of physiological signal acquisition devices 1, including traditional low-speed devices such as heart rate and respiratory belt sensors based on RS232 interfaces, with data transmission rates of 9600bps-115200bps, as well as new high-speed devices such as video pulse wave acquisition devices and defocus speckle acquisition devices. These new high-speed devices have large data volumes and high transmission rate requirements, needing to transmit large amounts of data in real time while ensuring timeliness and accuracy. The signal integration and relay device 2 in this embodiment has reserved interfaces including low-speed and high-speed interfaces. The low-speed interface is equipped with multiple standard RS232 interfaces, using universal 9-pin or 25-pin D-type connectors. The internal circuitry is optimized for anti-interference, ensuring stable data transmission in the complex electromagnetic environment of MRI, meeting the basic requirements of traditional equipment. The high-speed interface adopts USB 3.0 and above standards, such as a miniaturized Type-C interface, possessing ultra-high-speed transmission capabilities (theoretical speeds up to 5Gbps or even higher), saving space and facilitating plugging and unplugging, and is compatible with new high-speed acquisition devices.

[0040] Optionally, the signal acquisition device 1 is wirelessly connected to the signal integration and relay device 2.

[0041] Understandably, since the signal acquisition device 1 is installed within the MRI system, it is inconvenient to directly connect the signal integration and relay device 2 to the signal acquisition device 1. Therefore, in this embodiment, the signal acquisition device 1 and the signal integration and relay device 2 are connected wirelessly. For example, wireless transmission technologies such as Bluetooth Low Energy (BLE) and Wi-Fi 6 can be used.

[0042] In the complex medical environment of a hospital, the use of wireless connectivity greatly improves the deployment flexibility of the equipment. It avoids the safety hazards that could arise from dragging or tangling cables, while also reducing the space occupied in the examination room, making operations more convenient and efficient for medical staff, and improving overall work efficiency. Wireless connectivity reduces the failure rate caused by cable plugging / unplugging, aging, or damage, lowering equipment maintenance costs and repair frequency, and ensuring the stability and reliability of the entire physiological signal monitoring system.

[0043] Optionally, the signal integration and relay device 2 includes at least one of an MCU, a DSP, and an FPGA. That is, the signal integration and relay device in this embodiment can be a combination of one or more of an MCU, a DSP, and an FPGA.

[0044] Optionally, the signal acquisition device 1 includes at least one of a millimeter-wave radar device, a video pulse wave acquisition device, and a defocus speckle acquisition device. That is, the signal acquisition device in this embodiment can be a combination of one or more of the millimeter-wave radar device, the video pulse wave acquisition device, and the defocus speckle acquisition device.

[0045] In this embodiment, the MCU (Microcontroller Unit) serves as the fundamental core for overall control and coordination. It utilizes its conventional computing power to process data acquired from signal acquisition device 1, maintaining the basic physiological data monitoring process. On the other hand, the MCU coordinates the operation of the entire signal integration and relay device 2, coordinating the work of the DSP and FPGA to ensure orderly collaboration among hardware modules and achieve stable system operation. The DSP (Digital Signal Processor) processes the massive amounts of image data transmitted from the new high-resolution video pulse wave imager. It performs real-time filtering on this large dataset to remove image noise interference; accurately extracts image features to uncover the physiological information contained within; and conducts spectral analysis to quickly convert the raw, complex image data into intuitive characteristic parameters reflecting the patient's cardiovascular state, such as pulse wave velocity and vascular elasticity index, providing medical personnel with accurate cardiovascular function assessment data. The FPGA (Field-Programmable Gate Array) is used to process high-speed data streams, especially data from respiratory and heart rate synchronization monitoring devices using millimeter-wave radar technology. The FPGA performs initial integration of the rapidly flowing data in a very short time, organizing scattered data fragments in an orderly manner; simultaneously, it removes redundant information, reducing the pressure on subsequent processing, and thus constructs a time-series-based data buffer.

[0046] Specifically, when using a video pulse wave acquisition device to collect physiological signals from the human body, the device first captures image sequences of areas with a high concentration of superficial arteries, such as the patient's face, neck, or wrist, using a camera. The camera captures these images at a frame rate of tens of frames per second or higher to ensure complete recording of subtle dynamic changes in the skin surface. When light shines on the patient's skin, the intensity of reflected light also exhibits periodic, slight changes due to the periodic filling and emptying of subcutaneous arteries with the heartbeat. The optical system in the video pulse wave acquisition device collects and filters the reflected light, removing stray light and other interference factors, retaining only light signals within a specific wavelength range carrying pulse wave information, such as red or near-infrared light. These wavelengths have significantly different absorption characteristics for oxyhemoglobin and deoxyhemoglobin in the blood, better reflecting pulse dynamics. The processed signal then enters a subsequent electronic processing unit, where algorithms analyze the changes in light intensity within the image sequence. The algorithm compares the changes in pixel grayscale values ​​of specific regions (such as a selected fixed area on the cheek) in an image frame by frame, quantifies these changes, and converts them into electrical signals. The frequency, amplitude, and other characteristics of these electrical signals are closely related to the pulse rhythm, thus successfully extracting the pulse wave signal and realizing non-contact pulse physiological signal acquisition.

[0047] Specifically, when using a defocused speckle acquisition device to collect physiological signals from the human body, the device is placed near the patient's test site, such as the chest or limbs, within the magnetic resonance imaging system. After the laser beam is focused onto the skin surface, the reflected light forms a speckle pattern in space due to the microscopic roughness of the skin surface and the scattering characteristics of subcutaneous tissue. The detector in the heated imaging system, where the defocused speckle acquisition device is placed, monitors changes in the speckle pattern with extremely high sensitivity, capturing variations in the displacement and brightness of the speckle particles. For example, when monitoring respiration, the rise and fall of the chest causes the speckle formed by laser reflection to shift and deform over a large area slowly; while for heartbeats, the minute vibrations of local tissues caused by the heart's pumping action cause high-frequency, small-range jitter in the speckle pattern. The acquired dynamic data of the speckle pattern is transmitted to a back-end processor for processing using advanced mathematical tools based on optical correlation theory and wavelet analysis. By analyzing the frequency, amplitude, and phase of speckle pattern changes in multiple dimensions, characteristic signals corresponding to respiration and heartbeat are separated, transforming the complex and disordered speckle dynamics into identifiable human physiological signals, thus completing the non-contact acquisition task.

[0048] Optionally, the millimeter-wave radar device is equipped with a signal generator and a signal receiver. The millimeter-wave radar device is configured to send test signals to the human chest and abdomen through the signal generator, receive motion information fed back from the human chest and abdomen through the signal receiver, and extract respiratory signals and heartbeat signals based on the motion information.

[0049] Specifically, when the millimeter-wave radar device is activated, its signal generator continuously transmits a specific frequency test signal, such as 24 GHz, to the patient's chest and abdomen. As the patient moves, the chest and abdomen undergo dynamic changes due to breathing and heartbeat, causing the test signal to be reflected and scattered. The signal receiver captures this motion information using high-precision sensing elements. Upon receiving the information, a low-pass filter removes high-frequency noise and interference to obtain an intermediate-frequency (IF) signal. This IF signal is then digitized by sampling at 10-millisecond intervals and converted to a frequency domain signal using a Fast Fourier Transform (FFT) to calculate the change in distance between the chest / abdomen and the radar. Based on the different frequencies of breathing and heartbeat, the frequency ranges of the two signals are initially distinguished. Next, a band-pass filter is used to refine the signal, extracting the 0.1-0.6 Hz signal. This signal is then decomposed using the RESE-VMD algorithm to remove residual noise, resulting in a clear and accurate breathing signal. Similarly, the 0.8-2.0 Hz signal is extracted and decomposed using the RESE-VMD algorithm to remove residual noise, resulting in a clear and accurate heartbeat signal. First, the respiratory signal in the 0.1-0.6Hz frequency range and the heartbeat signal in the 0.8-2.0Hz frequency range are extracted by a bandpass filter and used as input to the RESE-VMD algorithm. The RESE-VMD algorithm adaptively decomposes the input respiratory and heartbeat signals into multiple modal components. Each modal component represents the characteristics of the signal at different frequencies and time scales, thus separating noise from useful signals. Among the decomposed modal components, those primarily containing noise are identified and removed. For example, if a modal component has low energy and a dispersed frequency distribution, which does not match the typical frequency characteristics of breathing or heartbeat, then this component can be determined to be mainly noise and removed. After removing the modal components mainly containing noise, the remaining modal components are reconstructed to obtain the final clear and accurate respiratory and heartbeat signals. The reconstruction process involves superimposing the retained modal components according to certain rules to recover the useful information in the original signal while removing residual noise interference.

[0050] In the above embodiments, compared to traditional contact monitoring devices such as ECG electrode patches and breathing belts, millimeter-wave radar devices do not require direct contact with the patient's body, avoiding problems such as skin allergies and discomfort caused by prolonged wear. This makes them particularly suitable for use in rehabilitation training scenarios where patients need to frequently move their bodies, greatly improving patient comfort and compliance. Leveraging the high-frequency characteristics of the millimeter-wave band, the radar device can accurately sense minute changes in human movement, capturing respiratory and heartbeat signals in real time. Even slight adjustments in posture or gait during patient movement will not affect the accurate acquisition of signals, providing medical staff with continuous, stable, and accurate physiological data to promptly detect potential health risks. In rehabilitation training rooms, where there are various electronic devices and a relatively complex electromagnetic environment, the millimeter-wave radar device, through its own signal processing flow, effectively filters out high-frequency noise and interference signals from the outside world, ensuring high purity and reliability of the extracted respiratory and heartbeat signals, guaranteeing the quality of monitoring data, and reducing the risk of misdiagnosis and missed diagnosis.

[0051] Optionally, the signal display device 3 includes a first signal display and a second signal display. The first signal display is used to display a first signal to be displayed obtained by processing the respiratory signal through the signal integration and relay device 2, and the second signal display is used to display a second signal to be displayed obtained by processing the heartbeat signal through the signal integration and relay device 2.

[0052] In the above embodiments, a first signal display shows the first signal to be displayed after processing the respiratory signal, and a second signal display shows the second signal to be displayed after processing the heartbeat signal. This allows different signals to be displayed on different displays. In emergency medical situations, the independent display of clearly visible respiratory and heartbeat signals enables medical personnel to quickly identify abnormal changes in key physiological indicators and make accurate medical decisions immediately, avoiding delays in treatment due to information confusion. When applied to telemedicine scenarios, even with limited network bandwidth, the independent transmission and display of respiratory and heartbeat signals effectively avoids data congestion, ensuring that medical personnel at both ends can smoothly and clearly see key vital signs. This enables efficient connection between remote diagnosis and real-time guidance, expanding the coverage of medical services.

[0053] Optionally, the signal integration and relay device 2 sends the signal to be displayed to the signal display device 3 via DMA mode.

[0054] Specifically, the signal to be displayed is transmitted to the signal display device 3 using DMA mode. Compared to the traditional serial port method, DMA mode allows the signal integration and relay device 2 to directly control the data transmission channel between the memory and the signal display device 3, without frequent processor intervention. Thus, the processed signal to be displayed can reach the display device faster, allowing medical staff to see the patient's latest physiological changes almost in real time, gaining valuable time for timely diagnosis. Furthermore, DMA mode can handle large data transfers. Ordinary serial ports are slow and prone to congestion when handling large data volumes; this embodiment uses DMA mode to avoid these problems. The principle of signal transmission via DMA mode is as follows: the DMA controller sends a bus request signal to the processor, requesting to use the system bus. Upon receiving the request, if there is no ongoing bus operation, the processor releases bus control and sends a bus response signal to the DMA controller. After gaining bus control, the DMA controller establishes a data transfer channel directly between memory and the external device. Following pre-set transfer parameters, such as the starting address, length, and direction, it transfers data directly from the external device to a specified location in memory, or vice versa. During data transfer, the DMA controller automatically updates the memory address and data length until all data transfers are complete. Upon completion, the DMA controller sends an interrupt request signal to the processor, notifying it that the data transfer is finished. Upon receiving the interrupt request, the processor pauses its current task and handles post-transfer matters, such as further processing or checking the transferred data.

[0055] Optionally, the signal integration and relay device 2 and the signal display device 3 are connected via an optical fiber assembly. Optical fiber, with its ultra-high bandwidth and extremely low loss, ensures high-speed and lossless transmission of massive amounts of physiological data, allowing respiratory and heartbeat signals to be delivered to the display end in real time and accurately, avoiding signal delay or distortion. In scenarios such as cardiopulmonary function testing, where real-time data accuracy is extremely important, medical personnel can quickly determine subtle changes in the patient's cardiopulmonary function based on the precise waveforms displayed on the screen, adjust the testing plan accordingly, provide a solid basis for diagnosis, and greatly enhance the reliability of medical monitoring.

[0056] Optionally, the signal display device 3 includes a signal display screen or a touch screen. The signal display screen can clearly and stably display respiratory and heartbeat signals, allowing medical staff to accurately grasp the patient's physiological state and easily detect abnormal signal fluctuations, even from a distant control console. Furthermore, the touch screen enables interactive functions, allowing medical staff to quickly retrieve more detailed physiological parameters of the patient with a simple touch, without the need for additional complex equipment. It also allows for convenient fine-tuning of key parameters of the signal acquisition and relay devices, such as flexibly adjusting the transmission frequency of the millimeter-wave radar, improving operational convenience and monitoring efficiency, and optimizing the overall medical process.

[0057] The above description is merely a specific embodiment of this application, enabling those skilled in the art to understand or implement this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A physiological signal display device for a magnetic resonance imaging system, characterized in that, include: A signal acquisition device is configured to acquire human physiological signals in a non-contact manner. The signal acquisition device is equipped with a special shielding layer for electromagnetic shielding to avoid interfering with the normal imaging of the magnetic resonance imaging system. A signal integration and relay device is provided, which is connected to the signal acquisition device. The signal integration and relay device is configured to process the human physiological signals to obtain the signals to be displayed. The signal integration and relay device is used as a data center for big data processing and high-speed data stream processing. The signal integration and relay device is provided with multiple reserved interfaces for adapting to different models of the signal acquisition device. The reserved interfaces include low-speed interfaces and high-speed interfaces. The high-speed interfaces include data interfaces for video pulse wave acquisition devices and defocus speckle acquisition devices. A signal display device, wherein the signal display device is connected to the signal integration and relay device, and the signal display device is configured to display the signal to be displayed; The signal integration and relay device sends the signal to be displayed to the signal display device via DMA mode.

2. The physiological signal display device for a magnetic resonance imaging system according to claim 1, characterized in that, The signal acquisition device is wirelessly connected to the signal integration and relay device.

3. The physiological signal display device for a magnetic resonance imaging system according to claim 1, characterized in that, The signal integration and relay device includes at least one of MCU, DSP and FPGA.

4. The physiological signal display device for a magnetic resonance imaging system according to claim 1, characterized in that, The signal acquisition device includes at least one of a millimeter-wave radar device, a video pulse wave acquisition device, and a defocus speckle acquisition device.

5. The physiological signal display device for a magnetic resonance imaging system according to claim 4, characterized in that, The millimeter-wave radar device is equipped with a signal generator and a signal receiver. The millimeter-wave radar device is configured to send test signals to the human chest and abdomen through the signal generator, receive motion information fed back from the human chest and abdomen through the signal receiver, and extract respiratory signals and heartbeat signals based on the motion information.

6. The physiological signal display device for a magnetic resonance imaging system according to claim 5, characterized in that, The signal display device includes a first signal display and a second signal display. The first signal display is used to display a first signal to be displayed obtained by processing the respiratory signal through the signal integration and relay device, and the second signal display is used to display a second signal to be displayed obtained by processing the heartbeat signal through the signal integration and relay device.

7. The physiological signal display device for a magnetic resonance imaging system according to claim 1, characterized in that, The signal integration and relay device is connected to the signal display device via an optical fiber assembly.

8. The physiological signal display apparatus for a magnetic resonance imaging system according to claim 1, characterized by, The signal display device includes a signal display screen or a touch screen.

Images