Remote monitoring intelligent infusion management device based on AI
By designing a remote monitoring intelligent infusion management device based on AI, many problems existing infusion management methods and existing intelligent infusion management equipment are solved, and efficient, personalized and safe infusion management are achieved, reducing medical costs and risks.
Patent Information
- Application Number
- CN202510136123.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-07
- Publication Date
- 2025-03-21
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Traditional infusion management methods and existing intelligent infusion management equipment have problems such as insufficient real-time and accuracy, low degree of personalization, information islands, poor coordination among components, limited intelligence level, weak remote monitoring and interaction capabilities, and safety and reliability.
Design a remote monitoring intelligent infusion management device based on AI, including a real-time monitoring device for physiological parameters, a real-time monitoring device for vital signs and a remote infusion control device. Data analysis and infusion scheme generation are carried out through the AI intelligent control system, and interact with the mobile phone and the central control terminal of the hospital to realize real-time remote monitoring and control.
It improves the real-time and accuracy of infusion management, enhances personalized management, solves the problem of poor synergy between information silos and components, improves the level of intelligence and remote monitoring capabilities, reduces the risk of medical accidents and drug waste, and reduces medical costs.
Smart Images
Figure CN119656431A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of medical appliances, and more specifically, to an AI-based remote monitoring intelligent infusion management device. Background Art
[0002] In traditional infusion management, medical staff need to frequently patrol wards, check infusion status, adjust infusion speed, etc., which not only increases their workload, but also may lead to medical risks caused by human factors. With the continuous advancement of medical technology, although some preliminary intelligent infusion management devices have appeared on the market, these devices still have many shortcomings in terms of intelligence, remote monitoring capabilities, and personalized management.
[0003] The existing technology mainly has the following disadvantages:
[0004] 1. Lack of real-time and accuracy: Traditional methods rely on manual monitoring and manual adjustment, and cannot monitor the patient's physiological changes and infusion status in real time, nor can they accurately control the infusion speed.
[0005] 2. Low degree of personalization: Infusion plans are often developed based on experience or standard procedures, lacking personalized adjustments based on individual patient differences.
[0006] 3. Information islands: There is a lack of effective information sharing and coordination mechanisms between different medical devices and systems, resulting in fragmented and incoherent medical information.
[0007] 4. Poor coordination between components: There is a lack of unified communication protocols and data processing mechanisms between components, resulting in problems such as poor information transmission and processing delays.
[0008] 5. Limited level of intelligence: Although it has basic infusion control functions, it lacks the support of advanced AI algorithms such as deep learning and data mining, and cannot achieve higher levels of automation and intelligent management.
[0009] 6. Weak remote monitoring and interaction capabilities: Most products only support local monitoring and simple human-computer interaction methods (such as buttons, indicator lights, etc.), and cannot achieve remote real-time monitoring and rich user interaction experience.
[0010] 7. Security and reliability issues: Some products have security loopholes or insufficient reliability in their design, such as unencrypted data transmission and high equipment failure rate, which may endanger the life safety of patients.
[0011] In summary, there is an urgent need for a safer, more efficient and personalized AI-based remote monitoring intelligent infusion management device.
[0012] The preceding description is intended to provide general background information and does not necessarily constitute prior art. Summary of the invention
[0013] The purpose of the present invention is to provide an AI-based remote monitoring intelligent infusion management device, which solves many problems existing in traditional infusion management methods and existing intelligent infusion management equipment.
[0014] The present invention provides an AI-based remote monitoring intelligent infusion management device, comprising a bracket, a system host, an AI intelligent control system, a physiological parameter real-time monitoring device, a vital sign real-time monitoring device and an infusion remote control device; the system host, the vital sign real-time monitoring device and the infusion remote control device are respectively arranged on the bracket, and the physiological parameter real-time monitoring device and the AI intelligent control system are installed in the system host; the physiological parameter real-time monitoring device, the vital sign real-time monitoring device and the infusion remote control device are all connected to the AI intelligent control system; the physiological parameter real-time monitoring device is used for real-time monitoring and acquisition of physiological parameters; the vital sign real-time monitoring device is used for real-time monitoring and acquisition of cardiopulmonary movement information, and then obtains the health parameters of the cardiopulmonary system; the infusion remote control device is used for accurately controlling the parameters of infusion; the AI intelligent control system is used to control the physiological parameter real-time monitoring device, the vital sign real-time monitoring device and the infusion remote control device, and interact with a mobile phone terminal and a hospital central control terminal for real-time remote monitoring and control.
[0015] Furthermore, the bracket includes a base, a support plate, a placement plate, a telescopic rod, a top support member and a hook; two of the support plates are vertically connected to the base, two of the placement plates are spaced apart and connected between the two support plates, and the two placement plates are respectively connected to the system host and the real-time vital sign monitoring device; the telescopic rod is connected to the outer side of one of the support plates, and the top support member is vertically connected to the end of the telescopic rod, the top support member is in an I-shape, and the hooks are connected to the four edges of the top support member.
[0016] Furthermore, the real-time vital signs monitoring device includes a connecting plate, a lower end connecting part and a real-time vital signs monitoring host; two of the connecting plates are spaced apart and connected to the placement plate, the lower end connecting part is hinged between the two connecting plates, the upper end of the lower end connecting part is rotatably connected to the real-time vital signs monitoring host, a detector is provided in front of the real-time vital signs monitoring host, and the real-time vital signs monitoring host is connected to the system host via a wire.
[0017] Furthermore, the real-time vital sign monitoring device includes a fusion signal generating unit, a power divider, a power amplifier, a transmitting antenna, a receiving antenna, a low noise amplifier, a mixer, a baseband signal processing unit, a beat frequency signal processing unit, an interference signal processing unit, a human presence detection unit, an environmental clutter removal unit and a Doppler vital sign extraction unit; the fusion signal generating unit generates an electromagnetic wave transmission signal according to a preset FMCW / CW fusion waveform; the power divider, the power amplifier, the transmitting antenna, the receiving antenna, the low noise amplifier and the mixer constitute a radio frequency front end; the power divider outputs the transmission signal to the transmitting antenna end for transmission and to the mixer for mixing with the receiving signal to generate a down-converted intermediate frequency signal, the power amplifier amplifies the transmission signal, the transmitting antenna electromagnetically radiates the signal after being amplified by the power amplifier, the receiving antenna receives the electromagnetic wave reflected by the object, the low noise amplifier amplifies the electromagnetic wave signal received by the receiving antenna and suppresses noise, and the mixer The device mixes the received signal amplified by the low noise amplifier with the transmission signal distributed by the power divider to obtain a down-converted intermediate frequency signal, and the baseband signal processing unit cuts the obtained intermediate frequency signal according to the time domain waveform of the dual-mode fusion transmission to obtain the beat frequency signal of the FMCW mode and the intermediate frequency interference signal of the CW mode respectively. The beat frequency signal processing unit solves the absolute distance and performs distance spectrum estimation processing according to the beat frequency signal information of the FMCW mode to obtain the distance spectrum information, and the interference signal processing unit performs absolute distance calculation and distance spectrum estimation processing according to the intermediate frequency interference information of the CW mode. Phase restoration processing is performed to complete micro-displacement detection and obtain displacement information of the human chest cavity. The human presence detection unit performs human body judgment according to the amplitude value of the distance spectrum information. The environmental clutter removal unit subtracts adjacent beat frequency signals according to multiple FMCW beat frequency signals to obtain a beat frequency signal with environmental clutter removed. The Doppler vital sign extraction unit performs Fourier transform on the chest displacement information according to the displacement information of the human chest cavity, thereby using frequency domain characteristics to judge the vital sign signal, obtain the frequency of human breathing and heartbeat, and complete the monitoring of vital signs.
[0018] Furthermore, a liquid inlet and a liquid outlet are respectively provided at the upper and lower ends of the infusion remote control device, a display screen is provided in front of the infusion remote control device, an adjustment button is provided below the display screen, and a flow rate adjustment knob is provided below the adjustment button. The infusion remote control device is connected to the system host via a wire.
[0019] Furthermore, the infusion remote control device internally includes a flow regulating valve, a control module, an Internet of Things communication module, an information reading and writing module, a valve control module and a power supply module; the Internet of Things communication module, the information reading and writing module, the valve control module and the power supply module are all connected to the control module; the control module is used for data processing, command control and status monitoring; the Internet of Things communication module is used for communicating with a remote server, uploading data and receiving commands; the information reading and writing module is used to read information, verify user identity, and control the remote operation authority of the flow regulating valve; the valve control module controls the switch and size adjustment of the flow regulating valve through a motor or a driver; the power supply module supplies power to the flow regulating valve, the control module, the Internet of Things communication module, the information reading and writing module and the valve control module.
[0020] Furthermore, the physiological parameter real-time monitoring device includes a physiological parameter monitoring probe, and a plurality of probe sockets are provided on the side of the system host, and the physiological parameter monitoring probe is connected to the probe socket via a wire.
[0021] Furthermore, the probe sockets include a temperature monitoring socket, an electrocardiogram monitoring socket, a non-invasive blood pressure monitoring socket, and a blood oxygen saturation monitoring socket.
[0022] Furthermore, a control display screen is provided in front of the system host, six operation buttons are installed directly below the control display screen, a switch is installed at the lower left of the control display screen, and a host adjustment knob is installed at the lower right of the control display screen; a handle is hinged on the top of the system host, and a transceiver antenna is installed on one side of the handle.
[0023] Furthermore, the AI intelligent control system includes an algorithm recognition module, an analysis and processing module, and an infusion plan generation module; the analysis and processing module is used to analyze and process the data transmitted by the physiological parameter real-time monitoring device, the vital sign real-time monitoring device and the infusion remote control device, and analyze and identify them through the algorithm recognition module, and transmit the data to the infusion plan generation module to form an infusion plan.
[0024] The AI-based remote monitoring intelligent infusion management device of the present invention solves many problems existing in traditional infusion management methods and existing intelligent infusion management equipment by integrating advanced AI technology, optimizing the coordination mechanism between components, improving the intelligence level, and enhancing remote monitoring and interaction capabilities. Automated and intelligent infusion management reduces the manual operation and time investment of medical staff, and improves the efficiency of medical services. It reduces medical accidents and drug waste caused by human operational errors, and the system also helps to reduce medical costs. The system can interact with a mobile phone or a hospital central control terminal, making it convenient for patients to check the infusion progress, understand drug information, etc. During the interaction, patients can have simple conversations with the system, such as asking about the remaining time of infusion, reporting discomfort, etc., which enhances the patient's participation and comfort. BRIEF DESCRIPTION OF THE DRAWINGS
[0025] Figure 1 A schematic diagram of the structure of an AI-based remote monitoring intelligent infusion management device provided in an embodiment of the present invention.
[0026] Figure 2 for Figure 1 A schematic diagram of the AI-based remote monitoring intelligent infusion management device.
[0027] Figure 3 for Figure 1 Schematic diagram of the internal principle module of the AI-based remote monitoring intelligent infusion management device.
[0028] Figure 4 for Figure 1 Schematic diagram of the structure of the system host, physiological parameter real-time monitoring device, vital sign real-time monitoring device and infusion remote control device of the AI-based remote monitoring intelligent infusion management device.
[0029] Figure 5 for Figure 1 Another perspective structural diagram of the system host, physiological parameter real-time monitoring device, vital sign real-time monitoring device and infusion remote control device of the AI-based remote monitoring intelligent infusion management device.
[0030] Figure 6 for Figure 1 Schematic diagram of the structure of the bracket of the AI-based remote monitoring intelligent infusion management device.
[0031] Figure 7 for Figure 1 Schematic diagram of the structure of the real-time monitoring device of vital signs in the AI-based remote monitoring intelligent infusion management device.
[0032] Figure 8 for Figure 1Schematic diagram of the internal principle module of the real-time monitoring device of vital signs in the AI-based remote monitoring intelligent infusion management device.
[0033] Fig. 9 for Figure 1 Schematic diagram of the structure of the infusion remote control device of the AI-based remote monitoring intelligent infusion management device.
[0034] Fig.10 for Figure 1 Schematic diagram of the internal principle module of the infusion remote control device of the AI-based remote monitoring intelligent infusion management device.
[0035] The reference numerals and components involved in the drawings are as follows:
[0036] 1. Bracket 11, base 12, support plate
[0037] 13. Placement board 14. Telescopic rod 15. Top support
[0038] 16. Hook 2. System host 21. Probe socket
[0039] 211. Temperature monitoring socket 212. ECG monitoring socket 213. Non-invasive blood pressure monitoring socket
[0040] 23. Operation button 22. Control display screen 214. Blood oxygen saturation monitoring socket
[0041] 24. Switch 25. Main unit adjustment knob 26. Handle
[0042] 27. Transceiver antenna 3. AI intelligent control system 31. Algorithm recognition module
[0043] 32. Analysis and processing module 33. Infusion plan generation module 4. Physiological parameter real-time monitoring device
[0044] 51. Connecting plate 41. Physiological parameter monitoring probe 5. Real-time vital sign monitoring device
[0045] 52. Lower end connection part 532. Power distributor 53. Real-time vital sign monitoring host
[0046] 534, transmitting antenna 533, power amplifier 531, fusion signal generating unit
[0047] 535, receiving antenna 536, low noise amplifier 538, baseband signal processing unit
[0048] 537. mixer 6. infusion remote control device 539. beat frequency signal processing unit
[0049] 54, detector 61, liquid inlet 5391, interference signal processing unit
[0050] 62, liquid outlet 63, display screen 5392, human presence detection unit
[0051] 64, adjustment button 5394, Doppler vital signs 5393, environmental clutter removal unit extraction unit
[0052] 65. Flow rate adjustment knob 66. Flow rate adjustment valve 67. Control module
[0053] 691, valve control module 69, information reading and writing module 68, Internet of Things communication module 692, Power Module DETAILED DESCRIPTION
[0054] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
[0055] The terms "first", "second", "third", "fourth" and the like in the description and claims of the present invention are used to distinguish similar objects and are not necessarily used to describe a particular order or sequence.
[0056] Example 1
[0057] Figure 1 A schematic diagram of the structure of an AI-based remote monitoring intelligent infusion management device provided in an embodiment of the present invention. Figure 2 for Figure 1 A schematic diagram of the AI-based remote monitoring intelligent infusion management device. Figure 3 for Figure 1 The internal principle module diagram of the AI-based remote monitoring intelligent infusion management device. Please refer to Figure 1 , Figure 2 , Figure 3 The AI-based remote monitoring intelligent infusion management device provided in an embodiment of the present invention comprises a bracket 1, a system host 2, an AI intelligent control system 3, a physiological parameter real-time monitoring device 4, a vital sign real-time monitoring device 5 and an infusion remote control device 6; the bracket 1 is respectively provided with the system host 2, the vital sign real-time monitoring device 5 and the infusion remote control device 6, the physiological parameter real-time monitoring device 4 and the AI intelligent control system 3 are installed in the system host 2; the physiological parameter real-time monitoring device 4, the vital sign real-time monitoring device 5 and the infusion remote control device 6 are all connected to the AI intelligent control system 3;
[0058] It should be noted that the physiological parameter real-time monitoring device 4 is used to monitor and obtain physiological parameters (for example, electrocardiogram, respiration, blood pressure, body temperature, pulse and other physiological parameters) in real time; the vital signs real-time monitoring device 5 is used to monitor and obtain cardiopulmonary movement information in real time, and then obtain the health parameters of the cardiopulmonary system; the infusion remote control device 6 is used to accurately control the infusion parameters (for example, infusion speed, drug dosage, infusion time and other parameters); the AI intelligent control system 3 is used to control the physiological parameter real-time monitoring device 4, the vital signs real-time monitoring device and the infusion remote control device 6, and interact with the mobile phone end and the hospital central control end for real-time remote monitoring and control.
[0059] The AI-based remote monitoring intelligent infusion management device of the present invention solves many problems existing in traditional infusion management methods and existing intelligent infusion management equipment by integrating advanced AI technology, optimizing the coordination mechanism between components, improving the intelligence level, and enhancing remote monitoring and interaction capabilities. Automated and intelligent infusion management reduces the manual operation and time investment of medical staff, and improves the efficiency of medical services. It reduces medical accidents and drug waste caused by human operational errors, and the system also helps to reduce medical costs. The system can interact with a mobile phone or a hospital central control terminal, making it convenient for patients to check the infusion progress, understand drug information, etc. During the interaction, patients can have simple conversations with the system, such as asking about the remaining time of infusion, reporting discomfort, etc., which enhances the patient's participation and comfort.
[0060] Figure 6 for Figure 1 Schematic diagram of the structure of the bracket of the AI-based remote monitoring intelligent infusion management device. Please refer to Figure 6 The bracket 1 of the present invention includes a base 11, a support plate 12, a placement plate 13, a telescopic rod 14, a top support member 15 and a hook 16; two of the support plates 12 are vertically connected to the base 11, two of the placement plates 13 are spaced apart and connected between the two support plates 12, and the two placement plates 13 are respectively connected to the system host 2 and the real-time vital sign monitoring device 5; the telescopic rod 14 is connected to the outer side of one of the support plates 12, and the top support member 15 is vertically connected to the end of the telescopic rod 14, the top support member 15 is in an I-shape, and the hooks 16 are connected to the four edges of the top support member 15.
[0061] Figure 4 for Figure 1 The schematic diagram of the structure of the system host, physiological parameter real-time monitoring device, vital sign real-time monitoring device and infusion remote control device of the AI-based remote monitoring intelligent infusion management device. Figure 5 for Figure 1Another perspective structural diagram of the system host, physiological parameter real-time monitoring device, vital sign real-time monitoring device and infusion remote control device of the AI-based remote monitoring intelligent infusion management device, Figure 7 for Figure 1 The structural diagram of the real-time monitoring device of vital signs in the remote monitoring intelligent infusion management device based on AI. Please refer to Figure 4 , Figure 5 , Figure 7 The real-time vital signs monitoring device 5 of the present invention includes a connecting plate 51, a lower connecting portion 52 and a real-time vital signs monitoring host 53; two connecting plates 51 are spaced apart and connected to the placement plate 13, the lower connecting portion 52 is hinged between the two connecting plates 51, the upper end of the lower connecting portion 52 is rotatably connected to the real-time vital signs monitoring host 53, a detector 54 is provided in front of the real-time vital signs monitoring host 53, and the real-time vital signs monitoring host 53 is connected to the system host 2 through a wire.
[0062] Figure 8 for Figure 1 The internal principle module diagram of the real-time monitoring device of vital signs in the AI-based remote monitoring intelligent infusion management device. Please refer to Figure 8 The real-time vital sign monitoring host 53 of the present invention includes a fusion signal generating unit 531, a power distributor 532, a power amplifier 533, a transmitting antenna 534, a receiving antenna 535, a low noise amplifier 536, a mixer 537, a baseband signal processing unit 538, a beat frequency signal processing unit 539, an interference signal processing unit 5391, a human presence detection unit 5392, an environmental clutter removal unit 5393 and a Doppler vital sign extraction unit 5394;
[0063] It should be noted that the fusion signal generating unit 531 of the present invention generates an electromagnetic wave transmission signal according to a preset FMCW / CW fusion waveform; the power divider 532, the power amplifier 533, the transmitting antenna 534, the receiving antenna 535, the low noise amplifier 536, and the mixer 537 constitute a radio frequency front end; the power divider 532 outputs the transmission signal to the transmitting antenna 534 end for transmission and to the mixer 537 for mixing with the receiving signal to generate a down-converted intermediate frequency signal, the power amplifier 533 amplifies the power of the transmission signal, the transmitting antenna 534 electromagnetically radiates the signal after being amplified by the power amplifier 533, the receiving antenna 535 receives the electromagnetic wave reflected by the object, the low noise amplifier 536 amplifies the electromagnetic wave signal received by the receiving antenna 535 and suppresses noise, and the mixer 537 combines the received signal amplified by the low noise amplifier 536 with the transmission signal distributed by the power divider 532 The baseband signal processing unit 538 cuts the obtained intermediate frequency signal according to the time domain waveform of the dual-mode fusion transmission to obtain the beat frequency signal of the FMCW mode and the intermediate frequency interference signal of the CW mode respectively. The beat frequency signal processing unit 539 performs absolute distance solution and distance spectrum estimation processing according to the beat frequency signal information of the FMCW mode to obtain the distance spectrum information. The interference signal processing unit 5391 performs phase restoration processing according to the intermediate frequency interference information of the CW mode to complete the micro displacement detection and obtain the human body The human body presence detection unit 5392 performs human body judgment according to the amplitude value of the distance spectrum information. The environmental clutter removal unit 5393 subtracts adjacent beat frequency signals according to multiple FMCW beat frequency signals to obtain a beat frequency signal with environmental clutter removed. The Doppler vital sign extraction unit 5394 performs Fourier transform on the chest displacement information according to the displacement information of the human chest, thereby judging the vital sign signal using the frequency domain characteristics, obtaining the human breathing and heartbeat frequencies, and completing the monitoring of vital signs.
[0064] Fig. 9 for Figure 1 The structural diagram of the infusion remote control device of the AI-based remote monitoring intelligent infusion management device. Please refer to Figure 4 , Figure 5 , Fig. 9 In the present invention, a liquid inlet 61 and a liquid outlet 62 are respectively provided at the upper and lower ends of the infusion remote control device 6, a display screen 63 is provided in front of the infusion remote control device 6, an adjustment button 64 is provided below the display screen 63, and a flow rate adjustment knob 65 is provided below the adjustment button 64. The infusion remote control device 6 is connected to the system host 2 through a wire.
[0065] It should be noted that when in use, the infusion bag is hung on the hook 16 , the infusion tube is cut in the middle, one end is sealed on the liquid inlet 61 , and the other end is sealed on the liquid outlet 62 .
[0066] Fig.10 for Figure 1 The internal principle module diagram of the infusion remote control device of the AI-based remote monitoring intelligent infusion management device. Please refer to Fig.10 The infusion remote control device 6 of the present invention includes a flow regulating valve 66, a control module 67, an Internet of Things communication module 68, an information reading and writing module 69, a valve control module 691 and a power module 692; the Internet of Things communication module 68, the information reading and writing module 69, the valve control module 691 and the power module 692 are all connected to the control module 67;
[0067] It should be noted that the control module 67 is used for data processing, command control and status monitoring; the Internet of Things communication module 68 is used for communicating with a remote server, uploading data and receiving commands; the information reading and writing module 69 is used to read information, verify user identity, and control the remote operation authority of the flow regulating valve 66; the valve control module 691 controls the switch 24 and size adjustment of the flow regulating valve 66 through a motor or driver; the power supply module 692 supplies power to the flow regulating valve 66, the control module 67, the Internet of Things communication module 68, the information reading and writing module 69, and the valve control module 691.
[0068] Further references Figure 5 The physiological parameter real-time monitoring device 4 of the present invention includes a physiological parameter monitoring probe 41. A plurality of probe sockets 21 are provided on the side of the system host 2. The physiological parameter monitoring probe 41 is connected to the probe socket 21 through a wire. Specifically, the probe socket 21 includes a temperature monitoring socket 211, an electrocardiogram monitoring socket 212, a non-invasive blood pressure monitoring socket 213, and a blood oxygen saturation monitoring socket 214; corresponding monitoring probes can be inserted according to different sockets.
[0069] Further references Figure 2 , Figure 4 A control display screen 22 is provided in front of the system host 2 of the present invention, six operation buttons 23 are installed directly below the control display screen 22, a switch 24 is installed at the lower left of the control display screen 22, and a host adjustment knob 25 is installed at the lower right of the control display screen 22; a handle 26 is hinged on the top of the system host, and a transceiver antenna 27 is installed on one side of the handle 26.
[0070] Further references Figure 3The AI intelligent control system 3 of the present invention includes an algorithm recognition module 31, an analysis and processing module 32, and an infusion plan generation module 33; the analysis and processing module 32 is used to analyze and process the data transmitted by the physiological parameter real-time monitoring device 4, the vital sign real-time monitoring device 5 and the infusion remote control device 6, and analyze and identify them through the algorithm recognition module 31, and transmit the data to the infusion plan generation module 33 to form an infusion plan.
[0071] Based on the above description, it can be seen that the advantages of the present invention are:
[0072] By integrating advanced AI technology, optimizing the coordination mechanism between components, improving the level of intelligence, and enhancing remote monitoring and interaction capabilities, many problems existing in traditional infusion management methods and existing intelligent infusion management equipment have been solved; automated and intelligent infusion management reduces the manual operation and time investment of medical staff, and improves the efficiency of medical services; it reduces medical accidents and drug waste caused by human operational errors, and the system also helps to reduce medical costs; the system can interact with mobile phones or hospital central control terminals, making it convenient for patients to check the infusion progress, understand drug information, etc.; during the interaction, patients can have simple conversations with the system, such as asking about the remaining time of infusion, reporting discomfort, etc., which enhances patient participation and comfort.
[0073] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.
Claims
1. An AI-based remote monitoring intelligent infusion management device, characterized in that: It comprises a support (1), a system host (2), an AI intelligent control system (3), a physiological parameter real-time monitoring device (4), a vital sign real-time monitoring device (5) and an infusion remote control device (6); The system host (2), the real-time vital sign monitoring device (5) and the infusion remote control device (6) are respectively arranged on the support (1), and the real-time physiological parameter monitoring device (4) and the AI intelligent control system (3) are installed in the system host (2); The physiological parameter real-time monitoring device (4), the vital sign real-time monitoring device (5) and the infusion remote control device (6) are all connected to the AI intelligent control system (3); The physiological parameter real-time monitoring device (4) is used to monitor and obtain physiological parameters in real time; the vital sign real-time monitoring device (5) is used to monitor and obtain cardiopulmonary movement information in real time, and then obtain health parameters of the cardiopulmonary system; the infusion remote control device (6) is used to accurately control the infusion parameters; The AI intelligent control system (3) is used to control the physiological parameter real-time monitoring device (4), the vital sign real-time monitoring device and the infusion remote control device (6), and interacts with the mobile phone terminal and the hospital central control terminal to remotely monitor and control in real time.
2. The AI-based remote monitoring intelligent infusion management device according to claim 1 is characterized in that: The bracket (1) comprises a base (11), a support plate (12), a placement plate (13), a telescopic rod (14), a top support member (15) and a hook (16); two support plates (12) are vertically connected to the base (11), two placement plates (13) are spaced apart and connected between the two support plates (12), and the system host (2) and the real-time vital sign monitoring device (5) are respectively connected to the two placement plates (13); The telescopic rod (14) is connected to the outer side of one of the support plates (12), and the top support member (15) is vertically connected to the end of the telescopic rod (14). The top support member (15) is in an I-shape, and the hooks (16) are connected to the four edges of the top support member (15).
3. The AI-based remote monitoring intelligent infusion management device according to claim 2 is characterized in that: The real-time vital sign monitoring device (5) comprises a connecting plate (51), a lower end connecting portion (52) and a real-time vital sign monitoring host (53); Two connecting plates (51) are spaced apart and connected to the placement plate (13); the lower connecting portion (52) is hinged between the two connecting plates (51); the upper end of the lower connecting portion (52) is rotatably connected to the real-time vital sign monitoring host (53); a detector (54) is provided in front of the real-time vital sign monitoring host (53); and the real-time vital sign monitoring host (53) is connected to the system host (2) via a wire.
4. The AI-based remote monitoring intelligent infusion management device according to claim 3 is characterized in that: The real-time vital sign monitoring host (53) includes a fusion signal generating unit (531), a power distributor (532), a power amplifier (533), a transmitting antenna (534), a receiving antenna (535), a low noise amplifier (536), a mixer (537), a baseband signal processing unit (538), a beat signal processing unit (539), an interference signal processing unit (5391), a human presence detection unit (5392), an environmental clutter removal unit (5393) and a Doppler vital sign extraction unit (5394); The fusion signal generating unit (531) generates an electromagnetic wave transmission signal according to a preset FMCW / CW fusion waveform; the power distributor (532), the power amplifier (533), the transmitting antenna (534), the receiving antenna (535), the low noise amplifier (536), and the mixer (537) constitute a radio frequency front end; The power distributor (532) outputs the transmission signal to the transmitting antenna (534) for transmission and to the mixer (537) for mixing with the receiving signal to generate a down-converted intermediate frequency signal. The power amplifier (533) amplifies the power of the transmission signal. The transmitting antenna (534) electromagnetically radiates the signal after being amplified by the power amplifier (533). The receiving antenna (535) receives the electromagnetic wave reflected by the object. The low noise amplifier (536) amplifies the electromagnetic wave signal received by the receiving antenna (535) and suppresses noise. The mixer (537) mixes the receiving signal amplified by the low noise amplifier (536) with the transmission signal distributed by the power distributor (532) to obtain a down-converted intermediate frequency signal. The baseband signal processing unit (538) performs cutting on the obtained intermediate frequency signal according to the time domain waveform of the dual-mode fusion transmission. The beat frequency signal of the FMCW mode and the intermediate frequency interference signal of the CW mode are respectively obtained by cutting. The beat frequency signal processing unit (539) performs absolute distance solution and distance spectrum estimation processing according to the beat frequency signal information of the FMCW mode to obtain distance spectrum information. The interference signal processing unit (5391) performs phase restoration processing according to the intermediate frequency interference information of the CW mode to complete micro displacement detection and obtain displacement information of the human chest cavity. The human body presence detection unit (5392) performs human body judgment according to the amplitude value of the distance spectrum information. The environmental clutter removal unit (5393) performs subtraction of adjacent beat frequency signals according to multiple FMCW beat frequency signals to obtain a beat frequency signal with environmental clutter removed. The Doppler vital sign extraction unit (5394) performs Fourier transformation on the chest displacement information according to the displacement information of the human chest cavity, thereby using frequency domain characteristics to judge the vital sign signal, obtain the frequency of human breathing and heartbeat, and complete the monitoring of vital signs.
5. The AI-based remote monitoring intelligent infusion management device according to claim 1 is characterized in that: A liquid inlet (61) and a liquid outlet (62) are respectively provided at the upper and lower ends of the infusion remote control device (6); a display screen (63) is provided in front of the infusion remote control device (6); an adjustment button (64) is provided below the display screen (63); and a flow rate adjustment knob (65) is provided below the adjustment button (64); the infusion remote control device (6) is connected to the system host (2) via a wire.
6. The AI-based remote monitoring intelligent infusion management device according to claim 5 is characterized in that: The infusion remote control device (6) internally comprises a flow regulating valve (66), a control module (67), an Internet of Things communication module (68), an information reading and writing module (69), a valve control module (691) and a power supply module (692); The Internet of Things communication module (68), the information reading and writing module (69), the valve control module (691) and the power supply module (692) are all connected to the control module (67); The control module (67) is used for data processing, command control and status monitoring; The Internet of Things communication module (68) is used to communicate with a remote server, upload data and receive instructions; The information reading and writing module (69) is used to read information, verify user identity, and control the remote operation authority of the flow control valve (66); The valve control module (691) controls the switch (24) and size adjustment of the flow control valve (66) through a motor or a driver; The power supply module (692) supplies power to the flow regulating valve (66), the control module (67), the Internet of Things communication module (68), the information reading and writing module (69), and the valve control module (691).
7. The AI-based remote monitoring intelligent infusion management device according to claim 1 is characterized in that: The physiological parameter real-time monitoring device (4) comprises a physiological parameter monitoring probe (41). A plurality of probe sockets (21) are provided on the side of the system host (2). The physiological parameter monitoring probe (41) is connected to the probe sockets (21) via a wire.
8. The AI-based remote monitoring intelligent infusion management device according to claim 7 is characterized in that: The probe sockets (21) include a temperature monitoring socket (211), an electrocardiogram monitoring socket (212), a non-invasive blood pressure monitoring socket (213), and a blood oxygen saturation monitoring socket (214).
9. The AI-based remote monitoring intelligent infusion management device according to claim 1, characterized in that: A control display screen (22) is provided in front of the system host (2), six operation buttons (23) are installed directly below the control display screen (22), a switch (24) is installed at the lower left of the control display screen (22), and a host adjustment knob (25) is installed at the lower right of the control display screen (22); a handle (26) is hinged on the top of the system host, and a transceiver antenna (27) is installed on one side of the handle (26).
10. The AI-based remote monitoring intelligent infusion management device according to claim 1, characterized in that: The AI intelligent control system (3) comprises an algorithm recognition module (31), an analysis and processing module (32), and an infusion scheme generation module (33); The analysis and processing module (32) is used to analyze and process the data transmitted by the physiological parameter real-time monitoring device (4), the vital sign real-time monitoring device (5) and the infusion remote control device (6), and to perform analysis and identification through the algorithm recognition module (31), and transmit the data to the infusion plan generation module (33) to form an infusion plan.