Patient health monitoring and analyzing system

Abstract

The invention discloses a patient health monitoring and analyzing system which comprises a health watch, an accompanying robot and a management background. The health watch is used for detecting the blood pressure, pulse, breath and body temperature of a real-time patient as real-time health data, and is also used for manually shooting a state photo of the current patient, and sending the real-time health data or marking the real-time health data to the state photo and then sending the real-time health data or marking the real-time health data to the management background; the accompanying robot comprises a life accompanying module, a health management module, an emergency module, a service module, a log module and a health data transmission module; the health management module is used for measuring health data of the patient and managing the health data; the health data transmission module is used for sending the health data to the management background; the management background comprises a data receiving and processing module, a neural network module and a data analysis module; and a health index model is stored in the neural network module. The health data of the patient can be conveniently measured, and abnormal health signs of the patient can be found in real time.

Description

Technical Field

[0001] The present invention relates to the technical field of patient health monitoring and analysis, and in particular to a patient health monitoring and analysis system. Background Art

[0002] With the rapid development of my country's urban and rural social economy and people's increasing attention to physical health, the demand for timely and effective treatment for personal and family illnesses is also growing. At present, China has begun to enter an aging society. More and more elderly people living at home do not have relatives and friends around them most of the time. At the same time, the incidence of high-risk diseases represented by cardiovascular and cerebrovascular diseases among middle-aged and elderly people is getting higher and higher. Millions of people die from cardiovascular and cerebrovascular diseases every year. The important feature of these high-risk diseases is that it takes only a short time from the onset of the disease to coma or even death. The above-mentioned patients who live alone are simply unable or unable to send out distress signals to medical institutions and relatives and friends in time during this period. In fact, within a few days before the onset of these high-risk diseases, the patient's blood pressure, pulse, breathing, body temperature and other health signs will change, but the patient himself does not feel obvious. If the abnormal health signs of these patients can be dynamically and in real time discovered by a professional patient health monitoring and analysis system, warning messages can be sent to patients and their relatives and friends in time, or first aid can be provided to patients in time when the patient has symptoms of the disease. Patients also need to monitor and alarm when they call for help when they fall or feel unwell. Patients are unable to relieve the pressure of illness and often have mental problems. Summary of the invention

[0003] In order to overcome the above-mentioned shortcomings of the prior art, the present invention proposes a patient health monitoring and analysis system, which can conveniently measure the patient's health data, can detect the patient's abnormal health signs in real time, and can promptly send warning messages to the patient and the patient's relatives and friends; monitor and alarm when the patient calls for help when he falls or feels unwell; and provide mental relief for the patient.

[0004] The technical solution adopted by the present invention to solve the technical problem is: a patient health monitoring and analysis system, including a health watch, a companion robot and a management background; the health watch is used to detect the real-time patient's blood pressure, pulse, respiration, and body temperature as real-time health data, and is also used to manually take a status photo of the current patient, and send the real-time health data or mark the real-time health data to the status photo to the management background;

[0005] The companion robot includes a life companion module, a health management module, an emergency module, a service module, a log module, and a health data transmission module; the life companion module includes a voice interaction module, a voice communication module, and an AI emotional companion module; the voice interaction module includes a natural language interaction module, a voice communication module, and an AI emotional companion module; the natural voice interaction module is used to process natural language, so that the patient can interact with the robot through voice, can identify the patient's basic needs from the voice, and conduct a dialogue based on the preset robot personality that the patient likes; the voice communication module is used to conduct real-time voice interaction with the family's mobile phone and make two-way voice calls; the AI ​​emotional companion module is used to analyze the patient's voice, expression and behavior pattern, monitor the patient's emotional state in real time, and issue reminders in time; the health management module is used to measure the patient's health data and manage the health data; the emergency module is used to call for help through voice or touch operation and send a distress signal to the family or doctor's mobile phone; the service module is used to receive and store service items; the service items are the contents executed by the life companion module, the health management module, and the emergency module; the log module is used to store and record all service items executed by the extension and all operation records of the hospitalized elderly; the health data transmission module is used to send health data to the management background;

[0006] The management background includes a data receiving and processing module, a neural network module and a data analysis module; the data receiving and processing module is used to receive real-time health data, status photos and health data, and can extract real-time health data on the status photos; the neural network module stores a health index model, and the health index model is used to output a health index based on real-time health data, status photos and health data; an alarm module is used to receive a warning message to the patient, the patient's relatives and friends, and medical staff's mobile phones in a timely manner when the health index is in a preset abnormal range; the data analysis module performs analysis and reporting based on real-time health data, status photos, health data, and health index.

[0007] Furthermore, the companion robot also includes a power module, a power detection module, and a charging module; the power module is rechargeable and used to power the companion robot; the power detection module is used to detect the power of the extension and send a low voltage signal to the management background when it is lower than the preset power usage.

[0008] Furthermore, the companion robot also includes a fixed-point storage module, a walking path setting storage module, and a walking mechanism; the fixed-point storage module is used to store the position coordinates of one or more preset service points, and the service point is the best location for serving patients for the preset service items; the walking path setting storage module is used to set and store the walking ID and the walking purpose, walking path and walking speed corresponding to the walking ID; the walking purpose includes driving to a service point for a hospitalized elderly person and returning to a certain location to charge; the walking mechanism is used to walk according to the walking path corresponding to the walking ID; the walking mechanism includes a radar, a steering mechanism, a straight-moving mechanism, a braking mechanism, and an intelligent walking controller, and has the function of avoiding obstacles in front and returning to the original path.

[0009] Furthermore, the companion robot also includes an audio-visual entertainment module; the audio-visual entertainment module can play music, animations, and TV series.

[0010] Furthermore, the modeling method of the health index model includes the following steps: defining the abnormal range of the health index; setting the health index for massive real-time health data, status photos, and health data based on the experience of medical experts; and training the real-time health data, status photos, health data, and health index through a neural network model to obtain the health index model.

[0011] Furthermore, the health management module includes a health monitoring module, and the health monitoring module is connected to several health monitoring devices; the health monitoring devices include a heart rate measurement device, a blood oxygen measurement device, a blood pressure measurement device, and a microcirculation measurement device.

[0012] Furthermore, the health management module includes a sleep monitoring module, which is connected to a sleep monitoring device to collect sleep data of the patient and generate a sleep report.

[0013] Furthermore, the basic needs include asking about time, asking about weather, and reminding things.

[0014] Furthermore, the emergency module also includes a fall monitoring and early warning module, which is connected to the millimeter wave radar equipment. When a patient falls, it immediately detects and triggers the generation of an alarm signal and sends it to the background management module. After receiving the signal, the background management module sends a warning message to the patient, his relatives and friends, and medical staff's mobile phones through the alarm module.

[0015] Compared with the prior art, the present invention has the following beneficial effects:

[0016] The present invention adopts a companion robot and a health watch to collect health data regularly and in real time, can conveniently measure the patient's health data, can detect the patient's abnormal health signs in real time, and can promptly send warning messages to the patient and the patient's relatives and friends; when the patient falls or feels unwell, he or she can call for help and the companion robot can be monitored and alarmed; the companion robot can also provide mental relief for the patient. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for describing the embodiments are briefly introduced below.

[0018] Figure 1 The present invention is a working principle diagram of a patient health monitoring and analysis system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The technical scheme in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only a part of the embodiment of the present invention, not all of the embodiments. Based on the embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] In the description of the present invention, it should be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside", etc. indicate directions or positional relationships based on the directions or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction. Therefore, they cannot be understood as limitations on the present invention.

[0021] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal connection of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0022] like Figure 1As shown, an embodiment of the present invention is a patient health monitoring and analysis system, including a health watch, a companion robot and a management background. The health watch is used to detect the patient's real-time blood pressure, pulse, respiration, and body temperature as real-time health data, and is also used to manually take a status photo of the current patient, and send the real-time health data or mark the real-time health data to the status photo and then send it to the management background; the health watch of this embodiment adopts a Huawei smart watch.

[0023] The companion robot includes a life companion module, a health management module, an emergency module, a service module, a log module, and a health data transmission module. The life companion module includes a voice interaction module, a voice communication module, and an AI emotional companion module. The voice interaction module includes a natural language interaction module, a voice communication module, and an AI emotional companion module. The natural voice interaction module is used to process natural language, so that the patient can interact with the robot through voice, can identify the patient's basic needs from the voice, and conduct a dialogue based on the preset robot personality that the patient likes; basic needs include asking about time, asking about weather, and reminding matters. The companion robot also includes a power module, a power detection module, and a charging module. The power module is rechargeable and used to power the companion robot. The power detection module is used to detect the power of the extension and send a low voltage signal to the management background when it is lower than the preset power usage. The companion robot also includes a fixed-point storage module, a walking path setting storage module, and a walking mechanism. The fixed-point storage module is used to store the location coordinates of one or more preset service points, and the service point is the best place to serve patients for the preset service items. The walking path setting storage module is used to set and store the walking ID and the walking purpose, walking path, and walking speed corresponding to the walking ID. The purpose of walking includes driving to a service point for a hospitalized elderly person and returning to a certain location to charge. The walking mechanism is used to walk along the walking path corresponding to the walking ID. The walking mechanism includes a radar, a steering mechanism, a straight-moving mechanism, a braking mechanism, and an intelligent walking controller, which has the function of avoiding obstacles in front and returning to the original path. The voice communication module is used to interact with the family members' mobile phones in real time and make two-way voice calls. The AI ​​emotional companion module is used to analyze the patient's voice, expression and behavior patterns, monitor the patient's emotional state in real time, and issue reminders in time. The health management module is used to measure the patient's health data and manage the health data. The emergency module is used to call for help through voice or touch operation and send a distress signal to the family members or doctors' mobile phones; the health management module includes a health monitoring module, and the health monitoring module is connected to several health monitoring devices. Health monitoring equipment includes a heart rate measurement device, a blood oxygen measurement device, a blood pressure measurement device, and a microcirculation measurement device. The health management module includes a sleep monitoring module, and the sleep monitoring module is connected to the sleep monitoring device to collect the patient's sleep data and generate a sleep report. The service module is used to receive and store service items; the service items are the contents executed by the life companion module, the health management module, and the emergency module. The log module is used to store and record all the service items executed by the extension and all the operation records of the hospitalized elderly. The health data transmission module is used to send health data to the management background. The companion robot also includes an audio-visual entertainment module. The audio-visual entertainment module can play music, animations, and TV series.The emergency module also includes a fall monitoring and early warning module, which is connected to the millimeter-wave radar equipment. When a patient falls, it immediately detects and triggers the generation of an alarm signal which is sent to the background management module. After receiving the signal, the background management module sends a warning message to the patient, his relatives and friends, and medical staff's mobile phones through the alarm module.

[0024] The management background uses a computer and a data server, including a data receiving and processing module, a neural network module and a data analysis module. The data receiving and processing module is used to receive real-time health data, status photos and health data, and can extract the real-time health data on the status photos. The neural network module stores a health index model, and the health index model is used to output the health index based on the real-time health data, status photos and health data. The modeling method of the health index model includes the following steps: defining the abnormal interval of the health index; setting the health index for massive real-time health data, status photos and health data according to experience by medical experts; and training the real-time health data, status photos, health data and health index through the neural network model to obtain the health index model. The alarm module is used to receive a warning message to the patient, the patient's relatives and friends and the medical staff's mobile phone in time when the health index is in the preset abnormal interval. The data analysis module analyzes and reports based on the real-time health data, status photos, health data and health index.

[0025] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention 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. A patient health monitoring and analysis system, characterized in that: It includes a health watch, a companion robot and a management background; the health watch is used to detect the patient's real-time blood pressure, pulse, respiration, and body temperature as real-time health data, and is also used to manually take a photo of the current patient's status, and send the real-time health data or mark the real-time health data to the status photo and then send it to the management background; The companion robot includes a life companion module, a health management module, an emergency module, a service module, a log module, and a health data transmission module; the life companion module includes a voice interaction module, a voice communication module, and an AI emotional companion module; the voice interaction module includes a natural language interaction module, a voice communication module, and an AI emotional companion module; the natural voice interaction module is used to process natural language, so that the patient can interact with the robot through voice, can identify the patient's basic needs from the voice, and conduct a dialogue based on the preset robot personality that the patient likes; the voice communication module is used to conduct real-time voice interaction with the family's mobile phone and make two-way voice calls; the AI ​​emotional companion module is used to analyze the patient's voice, expression and behavior pattern, monitor the patient's emotional state in real time, and issue reminders in time; the health management module is used to measure the patient's health data and manage the health data; the emergency module is used to call for help through voice or touch operation and send a distress signal to the family or doctor's mobile phone; the service module is used to receive and store service items; the service items are the contents executed by the life companion module, the health management module, and the emergency module; the log module is used to store and record all service items executed by the extension and all operation records of the hospitalized elderly; the health data transmission module is used to send health data to the management background; The management background includes a data receiving and processing module, a neural network module and a data analysis module; the data receiving and processing module is used to receive real-time health data, status photos and health data, and can extract real-time health data on the status photos; the neural network module stores a health index model, and the health index model is used to output a health index based on real-time health data, status photos and health data; an alarm module is used to receive a warning message to the patient, the patient's relatives and friends, and medical staff's mobile phones in a timely manner when the health index is in a preset abnormal range; the data analysis module performs analysis and reporting based on real-time health data, status photos, health data, and health index.

2. A patient health monitoring and analysis system according to claim 1, characterized in that: The companion robot also includes a power module, a power detection module, and a charging module; the power module is rechargeable and used to power the companion robot; the power detection module is used to detect the power of the extension and send a low voltage signal to the management background when the power usage is lower than the preset power usage.

3. A patient health monitoring and analysis system according to claim 1, characterized in that: The companion robot also includes a fixed-point storage module, a walking path setting storage module, and a walking mechanism; the fixed-point storage module is used to store the location coordinates of one or more preset service points, and the service point is the best location to serve patients for the preset service items; the walking path setting storage module is used to set and store the walking ID and the walking purpose, walking path and walking speed corresponding to the walking ID; the walking purpose includes driving to a service point for a hospitalized elderly person and returning to a certain location to charge; the walking mechanism is used to walk according to the walking path corresponding to the walking ID; the walking mechanism includes a radar, a steering mechanism, a straight-moving mechanism, a braking mechanism, and an intelligent walking controller, and has the function of avoiding obstacles in front and then returning to the original path.

4. A patient health monitoring and analysis system according to claim 1, characterized in that: The companion robot also includes an audio-visual entertainment module; the audio-visual entertainment module can play music, animations, and TV series.

5. A patient health monitoring and analysis system according to claim 1, characterized in that: The modeling method of the health index model includes the following steps: defining the abnormal range of the health index; setting the health index for massive real-time health data, status photos, and health data based on experience by medical experts; and training the real-time health data, status photos, health data, and health index through a neural network model to obtain the health index model.

6. A patient health monitoring and analysis system according to claim 1, characterized in that: The health management module includes a health monitoring module, and the health monitoring module is connected to several health monitoring devices; the health monitoring devices include a heart rate measurement device, a blood oxygen measurement device, a blood pressure measurement device, and a microcirculation measurement device.

7. A patient health monitoring and analysis system according to claim 1, characterized in that: The health management module includes a sleep monitoring module, which is connected to a sleep monitoring device to collect patient sleep data and generate a sleep report.

8. A patient health monitoring and analysis system according to claim 1, characterized in that: The basic needs include asking about the time, asking about the weather, and reminding things.

9. A patient health monitoring and analysis system according to claim 1, characterized in that: The emergency module also includes a fall monitoring and early warning module, which is connected to the millimeter wave radar equipment. When a patient falls, it immediately detects and triggers the generation of an alarm signal and sends it to the background management module. After receiving the signal, the background management module sends a warning message to the patient, his relatives and friends, and medical staff's mobile phones through the alarm module.

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