Remote monitoring method and system for stroke patient

Abstract

The invention relates to the technical field of medical monitoring, and discloses a remote monitoring method and system for a stroke patient, and the system comprises a multi-dimensional monitoring module and an intelligent monitoring module. Management data, physiological index data and tongue body image data of all cerebral apoplexy patients are obtained through a multi-dimensional monitoring module and are classified to form a data set, an intelligent monitoring module analyzes the illness state of each patient and generates a corresponding illness score, and the intelligent monitoring module analyzes the qi-blood running state of each patient and generates a corresponding stasis index. According to the method, the blood stasis risk of each patient is analyzed, the corresponding risk index is generated, the multi-dimensional monitoring perception ability is high, the intelligent monitoring module is provided with a score threshold, a stasis threshold and a risk threshold in a fixed range, and the disease degree and the onset risk of the stroke patient are evaluated by combining the disease score, the stasis index and the risk index. And corresponding monitoring suggestions are output, so that the risk assessment treatment is more timely.

Description

Technical Field

[0001] The present invention relates to the technical field of medical monitoring, and in particular to a remote monitoring method and system for stroke patients. Background Art

[0002] Stroke is an acute cerebrovascular disease, which is divided into ischemic stroke and hemorrhagic stroke. Ischemic stroke is caused by ischemia of brain tissue due to blood vessel obstruction, while hemorrhagic stroke is caused by intracerebral hemorrhage due to rupture of blood vessels. Stroke may cause slurred speech, vision problems, sudden headache, dizziness, nausea, vomiting, limb numbness and other symptoms. For stroke patients, a healthy lifestyle should be maintained in daily life, such as a balanced diet, moderate exercise, smoking cessation and alcohol restriction, and regular health checks. Controlling risk factors such as high blood pressure, diabetes, high cholesterol and high blood lipids is also an important measure to prevent stroke recurrence. Patients who have already suffered a stroke should actively cooperate with treatment and undergo rehabilitation treatment and medication under the guidance of a doctor. Remote monitoring helps to detect stroke symptoms early and intervene in time, which can effectively reduce the mortality and disability rate of patients and improve the quality of life of patients. Remote monitoring can not only provide timely treatment for patients in the acute phase, but also provide continuous guidance and support for patients in the rehabilitation phase. Doctors can understand the patient's rehabilitation progress through remote monitoring, adjust the rehabilitation plan according to the data analysis results, implement personalized rehabilitation guidance, and promote the patient's limb movement recovery and functional improvement. In areas where medical resources are unevenly distributed, remote medical monitoring can break the geographical restrictions, so that patients in remote areas can also obtain expert diagnosis and treatment advice, avoid long-distance referrals due to limited local medical conditions, and reduce the consumption of time and money.

[0003] At present, traditional remote monitoring methods for stroke patients often ignore the important value of Chinese medicine pulse diagnosis data. Remote monitoring devices can only monitor routine indicators such as blood pressure and heart rate, which are insufficient to fully reflect changes in the condition of stroke patients and cannot promptly detect special circumstances of the patient's condition. Summary of the invention

[0004] 1. Technical issues to be resolved In view of the shortcomings of the existing technology, the present invention provides a remote monitoring method and system for stroke patients, which has the advantages of strong multi-dimensional monitoring perception capabilities, more timely risk assessment and treatment, etc., and solves the problem that traditional remote monitoring methods for stroke patients ignore the important value of traditional Chinese medicine pulse diagnosis data and cannot detect the patient's condition in time.

[0005] (II) Technical solution To achieve the above object, the present invention provides the following technical solution: a method for remote monitoring of stroke patients, comprising the following steps: Step 1: Connect the electronic medical record system, remote monitoring device, pulse wave sensor and camera device through the network to obtain the management data, physiological index data and tongue image data of all stroke patients, and classify them into patient data set, monitoring data set and image data set; Step 2: Analyze each patient’s condition based on the patient dataset, monitoring dataset, and image dataset, and generate a corresponding symptom score ; Step 3: Analyze the Qi and blood flow status of each patient based on the monitoring data set and generate the corresponding stasis index ; Step 4: Analyze the blood stasis risk of each patient based on the monitoring data set and image data set, and generate the corresponding risk index ; Step 5: Set a fixed range of scoring thresholds , stasis threshold and risk thresholds , combined with the symptom score , Stasis Index and risk index , assess the severity and risk of stroke patients, and output corresponding monitoring recommendations.

[0006] Preferably, in step 1, the expression of the patient data set is , to Indicates first to The management data of stroke patients included the patient's name, physical condition, language ability, mobility, sleep duration and brain symptoms. Represents the age of a single stroke patient.

[0007] Preferably, in step 1, the expression of the monitoring data set is , to Indicates first to The physiological index data of stroke patients included blood pressure, blood oxygen saturation, pulse position, pulse rate, pulse shape, total cholesterol and triglyceride. Indicates the time point for obtaining the physiological index data of a single stroke patient.

[0008] Preferably, in step 1, the expression of the image data set is , to Indicates first to The tongue image data of stroke patients includes tongue color and sublingual varicose vein grade. Indicates the time point at which the tongue image data of a single stroke patient is obtained.

[0009] Preferably, in step 2, the symptom score The analysis process is as follows: According to the patient dataset, monitoring dataset and image dataset, the Management data, physiological index data and tongue image data of 10,000 stroke patients; Jordi The physical condition of the stroke patients included limb numbness, and the symptom score Add 2; Jordi The language ability of stroke patients was difficult to pronounce, and the symptom score was Add 1; Jordi Stroke patients have balance problems in their mobility, and the symptom score Add 1; Jordi Stroke patients sleep more than 12 hours, symptom scores Add 1; Jordi The brain symptoms of stroke patients included dizziness or headache, and the symptom score Add 2; Jordi Stroke patients were aged over 55 years and had a symptom score of Add 1; Jordi The systolic blood pressure of stroke patients exceeded 140 mmHg or the diastolic blood pressure exceeded 90 mmHg. Add 2; Jordi The tongue color of the stroke patient was dark purple in the tongue image, and the disease score Add 2; Indicates Symptom scores of stroke patients.

[0010] Preferably, in step 3, the stasis index The calculation process is as follows: According to the monitoring data set, The blood oxygen saturation of stroke patients is marked as , will The pulse position of stroke patients is marked as ; The pulse rate of stroke patients is marked as , will The pulse shape of the stroke patients is marked as ; ; In the formula, Indicates the standard value for measuring whether blood oxygen saturation is abnormal. Represents the weight of the ratio between the standard value and the blood oxygen saturation. It indicates the standard value for measuring the depth of the pulse. Represents the weight of the ratio of pulse position to standard value, It indicates the standard value for measuring the speed of pulse rate. Represents the weight of the ratio of pulse rate to standard value, represents the weight for the pulse shape, , , and are constants, and , Indicates according to , , and Weight, calculate the Stasis index in stroke patients .

[0011] Preferably, in step 4, the risk index The calculation process is as follows: According to the monitoring data set, The total cholesterol of stroke patients was , will Triglyceride levels in stroke patients were labeled , According to the image dataset, The grade of sublingual varicose veins in stroke patients was marked as , ; In the formula, It indicates the standard value for measuring whether total cholesterol is abnormal. Represents the weight of the ratio of total cholesterol to the standard value, It indicates the standard value for measuring whether triglycerides are abnormal. The weights for the ratio of triglycerides to the standard value are shown. represents the weight of the sublingual varicose vein grade, , and are constants, and , Indicates according to , and Weight, calculate the Risk index for stroke patients .

[0012] Preferably, in step 5, the symptom score Exceeding the rating threshold When the stroke patient is in critical condition, it indicates that the patient's condition is serious and it is recommended that the patient seek medical attention promptly.

[0013] Preferably, in step 5, the stasis index Exceeding the stasis threshold or risk index Exceeding risk threshold When the patient has a high risk of developing a stroke, it is recommended that the patient take medication in a timely manner.

[0014] Remote monitoring system for stroke patients, including multi-dimensional monitoring module and intelligent monitoring module; The multi-dimensional monitoring module is composed of a medical record data unit, a physiological data unit and an image data unit. The medical record data unit is connected to an electronic medical record system and a remote monitoring device through a network to collect patient data sets, and the patient data sets include management data of all stroke patients. The physiological data unit is connected to an electronic medical record system, a remote monitoring device and a pulse wave sensor through a network to collect monitoring data sets, and the monitoring data sets include physiological index data of all stroke patients. The image data unit is connected to a camera device through a network to collect image data sets, and the image data sets include tongue image data of all stroke patients. The intelligent monitoring module consists of a condition assessment unit, a blood stasis assessment unit and a monitoring management unit. The condition assessment unit analyzes the condition of each patient based on the patient data set, the monitoring data set and the image data set, and generates a corresponding condition score. The blood stasis assessment unit analyzes the qi and blood running status of each patient according to the monitoring data set and generates a corresponding stasis index. The blood stasis assessment unit analyzes the blood stasis risk of each patient based on the monitoring data set and the image data set, and generates a corresponding risk index The monitoring management unit is set with a fixed range of scoring thresholds , stasis threshold and risk thresholds , combined with the symptom score , Stasis Index and risk index , assess the severity and risk of stroke patients, and output corresponding monitoring recommendations.

[0015] Compared with the prior art, the present invention provides a remote monitoring method and system for stroke patients, which has the following beneficial effects: The present invention connects the electronic medical record system, remote monitoring device, pulse wave sensor and camera device through a multi-dimensional monitoring module network to obtain the management data, physiological index data and tongue image data of all stroke patients, and classifies them into patient data sets, monitoring data sets and image data sets. The intelligent monitoring module analyzes the condition of each patient based on the patient data sets, monitoring data sets and image data sets, and generates a corresponding symptom score. The intelligent monitoring module analyzes the Qi and blood running status of each patient based on the monitoring data set and generates the corresponding stasis index The intelligent monitoring module analyzes the blood stasis risk of each patient based on the monitoring data set and image data set, and generates a corresponding risk index , with strong multi-dimensional monitoring perception capabilities.

[0016] The present invention sets a fixed range of scoring thresholds through an intelligent monitoring module , stasis threshold and risk thresholds , combined with the symptom score , Stasis Index and risk index , assess the severity and risk of stroke in patients, and score the symptoms Exceeding the rating threshold When the stasis index is Exceeding the stasis threshold or risk index Exceeding risk threshold When the risk of stroke is high, it indicates that the patient is at high risk of developing the disease. It is recommended that the patient take medication in a timely manner so that risk assessment and treatment can be more timely. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a step diagram of the method of the present invention; Figure 2 Schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments 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.

[0019] Because traditional remote monitoring methods for stroke patients often ignore the important value of TCM pulse diagnosis data, remote monitoring devices can only monitor routine indicators such as blood pressure and heart rate, which are not enough to fully reflect the changes in the condition of stroke patients and cannot timely discover special conditions of patients. Therefore, a remote monitoring method and system for stroke patients is provided. Please refer to Figure 1-Figure 2 , a remote monitoring method for stroke patients, comprising the following steps: Step 1: Connect the electronic medical record system, remote monitoring device, pulse wave sensor and camera device through the network to obtain the management data, physiological index data and tongue image data of all stroke patients, and classify them into patient data set, monitoring data set and image data set; The expression for the patient dataset is , to Indicates first to The management data of stroke patients included the patient's name, physical condition, language ability, mobility, sleep duration and brain symptoms. represents the age of a single stroke patient; The expression of the monitoring data set is , to Indicates first to The physiological index data of stroke patients included blood pressure, blood oxygen saturation, pulse position, pulse rate, pulse shape, total cholesterol and triglyceride. Indicates the time point for obtaining the physiological index data of a single stroke patient. Specifically, a shallow pulse may be related to insufficient qi and blood or yang deficiency, and a deep pulse may be related to blood stasis or cold stagnation. Pulse types are divided into string pulse, thin pulse, slippery pulse and astringent pulse. String pulse means that the pulse is tense like a string, which is common in liver yang hyperactivity or wind syndrome. In the subsequent calculation formula, the value is 1. Thin pulse means that the pulse is thin and weak, which is common in insufficient qi and blood or yin deficiency. In the subsequent calculation formula, the value is 0.5. Slippery pulse means that the pulse beats smoothly, which is common in phlegm or food accumulation. In the subsequent calculation formula, the value is 1. Astringent pulse means that the pulse beats unsmoothly, which is common in blood stasis. In the subsequent calculation formula, the value is 2. The expression of the image dataset is , to Indicates first to The tongue image data of stroke patients includes tongue color and sublingual varicose vein grade. Indicates the time point at which the tongue image data of a single stroke patient is obtained. Specifically, the degree of varicose veins of the sublingual collaterals is divided into four levels: 0, 1, 2, and 3 according to the thickness, length, and curvature of the sublingual collaterals. Level 0: The two sublingual veins are faintly visible, the main trunk diameter is less than 2.6 mm, the length does not exceed the end point of the frenulum, and the entire sublingual vein is not twisted or distended. In the subsequent calculation formula, the value is 0; Level 1: The main trunk of the tongue is full, the diameter does not exceed 2.6 mm, and the length does not exceed 1 / 2 of the distance between the end point of the frenulum and the tip of the tongue. It is mild. Curvature, in the subsequent calculation formula, the value is 1; Level 2: The main trunk of the tongue is full, the diameter is thickened by more than 2.6 mm, and the length exceeds 3 / 5 of the distance between the frenulum and the tip of the tongue. It is slightly curved, indicating that the body's qi and blood are not flowing smoothly. In the subsequent calculation formula, the value is 2; Level 3: The main trunk of the tongue is full, with obvious varicose veins, the diameter is thickened by more than 2.6 mm, and the length exceeds 3 / 5 of the distance between the frenulum and the tip of the tongue or is about to reach the tip of the tongue. It has thick branches or caviar-like thorns on the outside, indicating that the body has severe blood stasis. In the subsequent calculation formula, the value is 3; Step 2: Analyze each patient’s condition based on the patient dataset, monitoring dataset, and image dataset, and generate a corresponding symptom score , the analysis process is as follows: According to the patient dataset, monitoring dataset and image dataset, the Management data, physiological index data and tongue image data of 10,000 stroke patients; Jordi The physical condition of the stroke patients included limb numbness, and the symptom score Add 2; Jordi The language ability of stroke patients was difficult to pronounce, and the symptom score was Add 1; Jordi Stroke patients have balance problems in their mobility, and the symptom score Add 1; Jordi Stroke patients sleep more than 12 hours, symptom scores Add 1; Jordi The brain symptoms of stroke patients included dizziness or headache, and the symptom score Add 2; Jordi Stroke patients were aged over 55 years and had a symptom score of Add 1; Jordi The systolic blood pressure of stroke patients exceeded 140 mmHg or the diastolic blood pressure exceeded 90 mmHg. Add 2; Jordi The tongue color of the stroke patient was dark purple in the tongue image, and the disease score Add 2, the color is bluish purple, crimson, crimson purple, purple-black, or the small collaterals are dark red or purple reticular, or the sublingual collaterals are varicose like purple beads with nodules of varying sizes, which are mostly signs of blood stasis; Indicates Symptom scores of stroke patients; Step 3: Analyze the Qi and blood flow status of each patient based on the monitoring data set and generate the corresponding stasis index The calculation process is as follows: According to the monitoring data set, The blood oxygen saturation of stroke patients is marked as , will The pulse position of stroke patients is marked as ; The pulse rate of stroke patients is marked as , will The pulse shape of the stroke patients is marked as ; ; In the formula, Indicates the standard value for measuring whether blood oxygen saturation is abnormal. Represents the weight of the ratio between the standard value and the blood oxygen saturation. It indicates the standard value for measuring the depth of the pulse. Represents the weight of the ratio of pulse position to standard value, It indicates the standard value for measuring the speed of pulse rate. Represents the weight of the ratio of pulse rate to standard value, represents the weight for the pulse shape, , , and are constants, and , Indicates according to , , and Weight, calculate the Stasis index in stroke patients The pulse of phlegm-heat and visceral fullness and wind-phlegm disturbance syndrome is stringy and slippery, which is related to the presence of phlegm-dampness and blood stasis in the body. Step 4: Analyze the blood stasis risk of each patient based on the monitoring data set and image data set, and generate the corresponding risk index , the calculation process is as follows: According to the monitoring data set, The total cholesterol of stroke patients was , will Triglyceride levels in stroke patients were labeled , According to the image dataset, The grade of sublingual varicose veins in stroke patients was marked as , ; In the formula, It indicates the standard value for measuring whether total cholesterol is abnormal. Represents the weight of the ratio of total cholesterol to the standard value, It indicates the standard value for measuring whether triglycerides are abnormal. The weights for the ratio of triglycerides to the standard value are shown. represents the weight of the sublingual varicose vein grade, , and are constants, and , Indicates according to , and Weight, calculate the Risk index for stroke patients Abnormalities in these indicators can lead to intimal deposition in blood vessels, induce atherosclerotic plaques in blood vessels, and significantly increase the risk of stroke in patients. Multi-dimensional monitoring has strong perception capabilities; Step 5: Set a fixed range of scoring thresholds , stasis threshold and risk thresholds , combined with the symptom score , Stasis Index and risk index , assess the severity and risk of stroke in patients, and score the symptoms Exceeding the rating threshold When the stasis index is Exceeding the stasis threshold or risk index Exceeding risk threshold When the risk of stroke is high, it indicates that the patient is at high risk of developing the disease. It is recommended that the patient take medication in a timely manner so that risk assessment and treatment can be more timely.

[0020] Remote monitoring system for stroke patients, including multi-dimensional monitoring module and intelligent monitoring module; The multi-dimensional monitoring module is composed of a medical record data unit, a physiological data unit and an image data unit. The medical record data unit collects patient data sets through a network connection to an electronic medical record system and a remote monitoring device. The patient data sets include management data of all stroke patients. The physiological data unit collects monitoring data sets through a network connection to an electronic medical record system, a remote monitoring device and a pulse wave sensor. The monitoring data sets include physiological index data of all stroke patients. The image data unit collects image data sets through a network connection to a camera device. The image data sets include tongue image data of all stroke patients. The multi-dimensional monitoring module collects patient condition information in real time and accurately, providing necessary information support for the intelligent monitoring module. The intelligent monitoring module consists of a condition assessment unit, a blood stasis assessment unit, and a monitoring management unit. The condition assessment unit analyzes the condition of each patient based on the patient data set, monitoring data set, and image data set, and generates a corresponding disease score. The blood stasis assessment unit analyzes the blood circulation status of each patient based on the monitoring data set and generates the corresponding stasis index. The blood stasis assessment unit analyzes the blood stasis risk of each patient based on the monitoring data set and image data set, and generates a corresponding risk index , multi-dimensional monitoring perception is strong, and the monitoring management unit is set with a fixed range of scoring thresholds , stasis threshold and risk thresholds , combined with the symptom score , Stasis Index and risk index , assess the severity and risk of stroke patients, and output corresponding monitoring recommendations. The intelligent monitoring module provides comprehensive condition analysis and risk assessment, which helps medical personnel to develop more scientific and effective treatment plans, and risk assessment and treatment are more timely.

[0021] Example 1: In this example, a male stroke patient was selected as the experimental subject. After testing, the patient's blood oxygen saturation was 95%, the pulse position was 4 times / breath, the pulse rate was 75 times / minute, the pulse shape was slippery, and the patient's stasis index was The calculation process is as follows: ; ; In the formula, the standard value for measuring whether the blood oxygen saturation is abnormal is 98%, the weight for the ratio of the standard value to the blood oxygen saturation is 0.3, the standard value for measuring the depth of the pulse is 6 times / breath, the weight for the ratio of the pulse position to the standard value is 0.2, the standard value for measuring the speed of the pulse is 70 times / minute, the weight for the ratio of the pulse rate to the standard value is 0.2, and the weight for the pulse shape is 0.3. , , and are constants, and ,according to , , and Weight, calculate the stasis index of the patient About 0.96.

[0022] Example 2: In this example, a patient with sublingual varicose vein grade 2 was selected as the experimental subject. After testing, the patient's total cholesterol was 5.6mmol / L and triglyceride was 1.8mmol / L. The patient's risk index The calculation process is as follows: ; ; In the formula, the standard value for measuring whether total cholesterol is abnormal is 5.2mmol / L, the weight for the ratio of total cholesterol to the standard value is 0.4, the standard value for measuring whether triglycerides are abnormal is 1.7mmol / L, the weight for the ratio of triglycerides to the standard value is 0.3, and the weight for the degree of sublingual varicose veins is 0.3. , and are constants, and ,according to , and Weight, calculate the risk index of the stroke patient About 1.35.

[0023] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A remote monitoring method for stroke patients, characterized in that: The following steps are involved: Step 1: Connect the electronic medical record system, remote monitoring device, pulse wave sensor and camera device through the network to obtain the management data, physiological index data and tongue image data of all stroke patients, and classify them into patient data set, monitoring data set and image data set; Step 2: Analyze each patient’s condition based on the patient dataset, monitoring dataset, and image dataset, and generate a corresponding symptom score ; Step 3: Analyze the Qi and blood flow status of each patient based on the monitoring data set and generate the corresponding stasis index ; Step 4: Analyze the blood stasis risk of each patient based on the monitoring data set and image data set, and generate the corresponding risk index ; Step 5: Set a fixed range of scoring thresholds , stasis threshold and risk thresholds , combined with the symptom score , Stasis Index and risk index , assess the severity and risk of stroke patients, and output corresponding monitoring recommendations.

2. The method for remote monitoring of stroke patients according to claim 1, characterized in that: In step 1, the expression of the patient data set is: , to Indicates first to The management data of stroke patients included the patient's name, physical condition, language ability, mobility, sleep duration and brain symptoms. Represents the age of a single stroke patient.

3. The method for remote monitoring of stroke patients according to claim 2, characterized in that: In step 1, the expression of the monitoring data set is: , to Indicates first to The physiological index data of stroke patients included blood pressure, blood oxygen saturation, pulse position, pulse rate, pulse shape, total cholesterol and triglyceride. Indicates the time point for obtaining the physiological index data of a single stroke patient.

4. The method for remote monitoring of stroke patients according to claim 3, characterized in that: In step 1, the expression of the image data set is: , to Indicates first to The tongue image data of stroke patients includes tongue color and sublingual varicose vein grade. Indicates the time point at which the tongue image data of a single stroke patient is obtained.

5. The method for remote monitoring of stroke patients according to claim 4, characterized in that: In the step 2, the symptom score The analysis process is as follows: According to the patient dataset, monitoring dataset and image dataset, the Management data, physiological index data and tongue image data of 10,000 stroke patients; Jordi The physical condition of the stroke patients included limb numbness, and the symptom score Add 2; Jordi The language ability of stroke patients was difficult to pronounce, and the symptom score was Add 1; Jordi Stroke patients have balance problems in their mobility, and the symptom score Add 1; Jordi Stroke patients sleep more than 12 hours, symptom scores Add 1; Jordi The brain symptoms of stroke patients included dizziness or headache, and the symptom score Add 2; Jordi Stroke patients were aged over 55 years and had a symptom score of Add 1; Jordi The systolic blood pressure of stroke patients exceeded 140 mmHg or the diastolic blood pressure exceeded 90 mmHg. Add 2; Jordi The tongue color of the stroke patient was dark purple in the tongue image, and the disease score Add 2; Indicates Symptom scores of stroke patients.

6. The method for remote monitoring of stroke patients according to claim 5, characterized in that: In step 3, the stasis index The calculation process is as follows: According to the monitoring data set, The blood oxygen saturation of stroke patients is marked as , will The pulse position of stroke patients is marked as ; The pulse rate of stroke patients is marked as , will The pulse shape of the stroke patients is marked as ; ； In the formula, Indicates the standard value for measuring whether blood oxygen saturation is abnormal. Represents the weight of the ratio between the standard value and the blood oxygen saturation. It indicates the standard value for measuring the depth of the pulse. Represents the weight of the ratio of pulse position to standard value, It indicates the standard value for measuring the speed of pulse rate. Represents the weight of the ratio of pulse rate to standard value, represents the weight for the pulse shape, , , and are constants, and , Indicates according to , , and Weight, calculate the Stasis index in stroke patients .

7. The method for remote monitoring of stroke patients according to claim 6, characterized in that: In step 4, the risk index The calculation process is as follows: According to the monitoring data set, The total cholesterol of stroke patients was , will Triglyceride levels in stroke patients were labeled , According to the image dataset, The grade of sublingual varicose veins in stroke patients was marked as , ； In the formula, It indicates the standard value for measuring whether total cholesterol is abnormal. Represents the weight of the ratio of total cholesterol to the standard value, It indicates the standard value for measuring whether triglycerides are abnormal. Represents the weight of the ratio of triglycerides to the standard value, represents the weight of the sublingual varicose vein grade, , and are constants, and , Indicates according to , and Weight, calculate the Risk index for stroke patients .

8. The method for remote monitoring of stroke patients according to claim 7, characterized in that: Step 5: Symptom scoring Exceeding the rating threshold When the stroke patient is in critical condition, it indicates that the patient's condition is serious and it is recommended that the patient seek medical attention promptly.

9. The method for remote monitoring of stroke patients according to claim 8, characterized in that: Step 5, Stasis Index Exceeding the stasis threshold or risk index Exceeding risk threshold When the patient has a high risk of developing a stroke, it is recommended that the patient take medication in a timely manner.

10. A remote monitoring system for stroke patients, applied to the remote monitoring method for stroke patients as claimed in any one of claims 1 to 9, characterized in that: Including multi-dimensional monitoring module and intelligent monitoring module; The multi-dimensional monitoring module is composed of a medical record data unit, a physiological data unit and an image data unit. The medical record data unit is connected to an electronic medical record system and a remote monitoring device through a network to collect patient data sets, and the patient data sets include management data of all stroke patients. The physiological data unit is connected to an electronic medical record system, a remote monitoring device and a pulse wave sensor through a network to collect monitoring data sets, and the monitoring data sets include physiological index data of all stroke patients. The image data unit is connected to a camera device through a network to collect image data sets, and the image data sets include tongue image data of all stroke patients. The intelligent monitoring module consists of a condition assessment unit, a blood stasis assessment unit and a monitoring management unit. The condition assessment unit analyzes the condition of each patient based on the patient data set, the monitoring data set and the image data set, and generates a corresponding condition score. The blood stasis assessment unit analyzes the qi and blood running status of each patient according to the monitoring data set and generates a corresponding stasis index. The blood stasis assessment unit analyzes the blood stasis risk of each patient based on the monitoring data set and the image data set, and generates a corresponding risk index The monitoring management unit is set with a fixed range of scoring thresholds , stasis threshold and risk thresholds , combined with the symptom score , Stasis Index and risk index , assess the severity and risk of stroke patients, and output corresponding monitoring recommendations.

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