CN105709302A - Medical-care system with infusion monitor - Google Patents

Medical-care system with infusion monitor Download PDF

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Publication number
CN105709302A
CN105709302A CN201610258758.4A CN201610258758A CN105709302A CN 105709302 A CN105709302 A CN 105709302A CN 201610258758 A CN201610258758 A CN 201610258758A CN 105709302 A CN105709302 A CN 105709302A
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China
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patient
module
doctor
monitoring
medical
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CN201610258758.4A
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CN105709302B (en
Inventor
谷正
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Wang Fang
Yu Shuxia
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Qingdao University
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61MDEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M5/00Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
    • A61M5/14Infusion devices, e.g. infusing by gravity; Blood infusion; Accessories therefor
    • A61M5/168Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters ; Monitoring media flow to the body
    • A61M5/16831Monitoring, detecting, signalling or eliminating infusion flow anomalies
    • A61M5/1684Monitoring, detecting, signalling or eliminating infusion flow anomalies by detecting the amount of infusate remaining, e.g. signalling end of infusion
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/08Detecting, measuring or recording devices for evaluating the respiratory organs
    • A61B5/0816Measuring devices for examining respiratory frequency
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14532Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4842Monitoring progression or stage of a disease
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61MDEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M5/00Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
    • A61M5/14Infusion devices, e.g. infusing by gravity; Blood infusion; Accessories therefor
    • A61M5/168Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters ; Monitoring media flow to the body
    • A61M5/16886Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters ; Monitoring media flow to the body for measuring fluid flow rate, i.e. flowmeters
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61MDEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M2205/00General characteristics of the apparatus
    • A61M2205/18General characteristics of the apparatus with alarm

Abstract

The invention provides a medical-care system with a liquid monitor. The system is characterized by comprising a hospital system, a household system and a remote control monitor center, wherein the hospital system comprises a medical-care examination device, a patient state classification module, an intelligent diagnosis module, a data integration server and an infusion monitor device; the household device comprises the portable monitor device.

Description

A kind of medical system with monitoring infusion
Technical field
The invention belongs to smart machine field, particularly to a kind of medical system with monitoring infusion.
Background technology
Intelligent medical system utilizes computer analysis, retrieves, calculates science, diagnostic result reasonable, comprehensive, pathological examination etc., provides, to each disease of diagnostic result, the correlative factor made a definite diagnosis needed for this disease.But current intelligent medical system rests in the collection of patient's essential information and case history mostly, the scheme that diagnoses and treats is all have doctor to make, and working doctor amount is not mitigated, and lacks the monitoring at family's care monitoring and infusion process.
Summary of the invention
The technical problem to be solved in the present invention is how to pass through algorithm to realize the monitoring of the assessment to condition-inference and therapeutic scheme and formulation and infusion process, there is provided a kind of medical treatment with the medical system of monitoring infusion this present invention, it includes hospital system, home system and remote monitoring center
Hospital system includes medical investigative apparatus, patient condition diversity module, intelligent diagnostics module, data consolidation server and transfusion monitoring device,
Home system includes Portable Monitoring Set,
Attending doctor realizes the formulation to the medical examination of patient, diagnosis and therapeutic scheme by hospital system, attending doctor obtains, by the Portable Monitoring Set of home system, the real time data nursed the sick of being in, Portable Monitoring Set also with remote monitoring center wireless connections, thus reply can be taked in time when emergency occurs in patient, and emergency is notified attending doctor simultaneously and uploads data consolidation server
When patient is in hospital system, the multinomial medical examination data of medical investigative apparatus detection patient, and input patient condition diversity module, patient condition diversity module adopts assessment algorithm that the state of an illness of patient is estimated, the doctor in charge then enters the patient condition diversity module assessment result to dividing through authentication and examines, if the doctor in charge thinks that the assessment result divided is correct, then the relevant information of patient and medical examination data are filed according to assessment result, and input intelligent diagnostics module, if the doctor in charge thinks that the assessment result divided is incorrect, the assessment result of patient is then determined by the doctor in charge, again the relevant information of patient and medical examination data are filed according to assessment result, and input intelligent diagnostics module;The intelligent diagnostics module relevant information according to patient, medical examination data and assessment result automatically generate corresponding therapeutic scheme, the doctor in charge enters intelligent diagnostics module through authentication and therapeutic scheme is examined, if the doctor in charge thinks that therapeutic scheme is correct, then by the relevant information of patient, medical examination data, therapeutic scheme and assessment result are uploaded to data consolidation server, if the doctor in charge thinks that therapeutic scheme is incorrect, then reformulated therapeutic scheme by the doctor in charge, again by the relevant information of patient, medical examination data, therapeutic scheme and assessment result are uploaded to data consolidation server;
Transfusion monitoring device include single-chip microcomputer, dropping speed testing circuit, liquid storage monitoring circuit, remaining time computing module, motor, circuit for controlling motor, wireless communication module, interface circuit, sound and light alarm module, display module and input module.
Beneficial effects of the present invention:
(1) evaluation to patient's state of an illness is realized by assessment algorithm, thus the selection for patient scheme and patient environment provides foundation;
(2) there is home system, thus ensure that the round-the-clock monitoring of patient's home care;
(3) introducing intelligent diagnostics mode, automatically generating therapeutic scheme, thus greatly reducing the labor intensity of doctor;
(4) transfusion monitoring device is set, such that it is able to the real-time situation in display patient infusion process, and is supplied to attending doctor in real time, it is ensured that infusion safety.
Accompanying drawing explanation
Fig. 1 is the system block diagram of the present invention;
Fig. 2 is the intelligent diagnostics module composition frame chart of the present invention;
Fig. 3 is the transfusion monitoring device composition frame chart of the present invention;
Detailed description of the invention
Below in conjunction with accompanying drawing, the present invention is further illustrated with embodiment.
Embodiments of the invention show with reference to Fig. 1-2.
A kind of medical treatment is with the medical system of monitoring infusion, and it includes hospital system, home system and remote monitoring center,
Hospital system includes medical investigative apparatus, patient condition diversity module, intelligent diagnostics module, data consolidation server and transfusion monitoring device,
Home system includes Portable Monitoring Set,
Attending doctor realizes the formulation to the medical examination of patient, diagnosis and therapeutic scheme by hospital system, attending doctor obtains, by the Portable Monitoring Set of home system, the real time data nursed the sick of being in, Portable Monitoring Set also with remote monitoring center wireless connections, thus reply can be taked in time when emergency occurs in patient, and emergency is notified attending doctor simultaneously and uploads data consolidation server
When patient is in hospital system, the multinomial medical examination data of medical investigative apparatus detection patient, and input patient condition diversity module, patient condition diversity module adopts assessment algorithm that the state of an illness of patient is estimated, the doctor in charge then enters the patient condition diversity module assessment result to dividing through authentication and examines, if the doctor in charge thinks that the assessment result divided is correct, then the relevant information of patient and medical examination data are filed according to assessment result, and input intelligent diagnostics module, if the doctor in charge thinks that the assessment result divided is incorrect, the assessment result of patient is then determined by the doctor in charge, again the relevant information of patient and medical examination data are filed according to assessment result, and input intelligent diagnostics module;The intelligent diagnostics module relevant information according to patient, medical examination data and assessment result automatically generate corresponding therapeutic scheme, the doctor in charge enters intelligent diagnostics module through authentication and therapeutic scheme is examined, if the doctor in charge thinks that therapeutic scheme is correct, then by the relevant information of patient, medical examination data, therapeutic scheme and assessment result are uploaded to data consolidation server, if the doctor in charge thinks that therapeutic scheme is incorrect, then reformulated therapeutic scheme by the doctor in charge, again by the relevant information of patient, medical examination data, therapeutic scheme and assessment result are uploaded to data consolidation server;
The assessment algorithm of patient condition diversity module particularly as follows:
Each medical examination data are carried out grade classification, then
Whole detection measured value is:
O P M = ( T 1 × T 2 + T 2 × T 3 + ... + T i - 1 × T i + T i × T 1 ) × sin ( 360 / N ) 2 × M 2
Wherein, OPM is whole detection measured value, TiIt is the grade point of i-th medical examination data, i=1,2 ..., N, Ti=1,2 ..., M, M is greatest level value, M >=2, and N is the total item of medical examination data;
Maximum overall measured value is:
O P M _ M A X = N × s i n ( 360 / N ) 2
OPM_MAX is maximum overall measured value
Then the assessed value as patient's state of an illness of assessment result is:
C = O P M O P M _ M A X
Above-mentioned assessment calculates the state of an illness that can effectively assess patient, thus carrying out Put on file.
Further, M=5, N=6
Medical investigative apparatus includes glucometer, ECG detecting device, respiratory frequency detector, cholesterol levels detector, blood pressure instrument, X-ray production apparatus,
Medical examination data include blood sugar concentration, ECG data evaluation, respiratory frequency, cholesterol levels, blood pressure conditions, radioscopy evaluation,
Further,
Wherein, the opinion rating of blood sugar concentration divides as shown in the table;
Grade 1 2 3 4 5
Blood sugar concentration (mg/DL) <98 98-154 155-183 184-254 >254
The opinion rating of respiratory frequency divides as shown in the table;
Grade 1 2 3 4 5
Respiratory frequency (beat/min) 12-18 9-11,19-21 6-8,22-24 3-5,25-27 <3,>27
The opinion rating of cholesterol levels divides as shown in the table;
Grade 1 2 3 4 5
Cholesterol levels (mmolg/l) <5.2 5.2-5.5 5.6-5.8 5.9-6.0 >6.0
The opinion rating of blood pressure conditions divides as shown in the table;
ECG data evaluation refers to the grade evaluation that doctor makes according only to electrocardiogram;
Radioscopy evaluation refers to the grade evaluation that doctor makes according only to X-ray;
Intelligent diagnostics module includes dynamic comprehensive data base, neural network learning module, inference machine, explanation module, sample knowledge storehouse, neural network structure knowledge base, clinical symptoms Description of Knowledge storehouse, disease knowledge storehouse, therapeutic scheme knowledge base, historical record knowledge base, knowledge data library management module
Each knowledge base can be adjusted management to neural network learning module and by KBM module by expert, safeguard and update;
Explanation module is the bridge linked up between system and attending doctor, is responsible for being converted into the diagnosis of attending doctor the information that system is capable of identify that, and output result last for system is converted into attending doctor it will be appreciated that information;
Inference machine uses the own knowledge through possessing of system, and the specifying information in conjunction with the injection moulding process comprised in dynamic comprehensive data base makes inferences, and draws corresponding therapeutic scheme.Inference machine includes ANN Reasoning module and RBR module two parts.Reasoning between " clinical symptoms disease " uses neural network module, uses RBR between " disease treatment scheme ";
Neural network learning module propose include the network number of plies, input, output, hidden node number neural network structure, organize learning sample to be trained and Learning Algorithm, extracted by sample knowledge storehouse and learn, obtain weights distribution, complete knowledge acquisition.
Further, the method that neural network structure is combined by fuzzy logic and neutral net realizes, and Learning Algorithm is BP algorithm.
Sample knowledge storehouse, neural network structure knowledge base, clinical symptoms Description of Knowledge storehouse, disease knowledge storehouse, scheme of curing the disease knowledge base, historical record knowledge base deposit corresponding knowledge data respectively.
Knowledge data library management module has complete database manipulation function, and the carrying out of each knowledge base is inquired about, adds and delete and revise by knowledge data library management module by expert,
Dynamic comprehensive data base receives and stores the relevant information of patient, medical examination data and assessment result;
The work process of inference machine is as follows:
(1) relevant information of patient, medical examination data and assessment result are carried out Fuzzy processing, and in this, as the input pattern of each sub neural network;
(2) from neural network structure knowledge base, read in the weight matrix of each sub neural network;
(3) in conjunction with the weight matrix between each sub neural network input layer, hidden layer, calculate the output of each sub neural network input layer, and will be output as the input of hidden neuron;
(4) in conjunction with the weight matrix of each sub neural network hidden layer, output interlayer, the neuronic output valve of output layer is calculated;
(5) according to the neuronic output valve of output layer, carry out the reasoning of rule-based reasoning module in conjunction with the relevant information in dynamic comprehensive data base, it is determined that the cause of disease, provide credibility;
(6) according to the reason finally determined, the therapeutic scheme corresponding to the concrete cause of disease is provided in conjunction with relevant information;
It is truly realized intelligent diagnostics, it is possible to provide full and accurate therapeutic scheme for doctor, and then reduce its working strength by intelligent diagnostics module.
Suggestion according to assessed value C and the doctor in charge determines whether patient can be in nursing, if assessed value is C >=0.4, then client need is in hospital;If assessed value is 0 < C < 0.1, such patient fully recovers substantially, it is not necessary to further diagnosis monitoring service;If assessed value is 0.1≤C < 0.4 and doctor in charge's agreement, then patient can carry out home care;
When patient is in home system, judge the basic diagnosis service required for home care patients, high level diagnostics service, diagnosis report form, attending doctor's type, monitoring period and monitoring cycle according to assessed value;
As 0.1≤C < 0.2, such patient is slight patient,
Basic diagnosis service is patient's essential information, case history, electrocardiogram, blood pressure detecting;
Service without high level diagnostics;
Diagnosis report form is web page notification and mail;
Attending doctor's type is the attending doctor of less than 10 years experiences;
Monitoring period is 1 day;
The monitoring cycle be 1 hour once;
As 0.2≤C < 0.3, such patient is moderate patient,
Basic diagnosis service is patient's essential information, case history, electrocardiogram, blood pressure detecting, the detection of blood sugar test, cardiopulmonary, cholesterol levels detection;
Service without high level diagnostics;
Diagnosis report form is web page notification and mail;
Attending doctor's type is the attending doctor of less than 10 years experiences;
Monitoring period is 7 days;
The monitoring cycle be 1 hour once;
As 0.3≤C < 0.4, such patient is severe patient,
Basic diagnosis service is patient's essential information, case history, electrocardiogram, blood pressure detecting, the detection of blood sugar test, cardiopulmonary, cholesterol levels detection, assessment aroused in interest, heart radiography;
High level diagnostics service is virtual heart, expert consultation;
Diagnosis report form is mobile phone, web page notification and mail;
Attending doctor's type is the attending doctor of more than 10 years experiences;
Monitoring period is 30 days;
The monitoring cycle is 1 minute;
For the state of an illness of different patients, different treatments and nursing care mode can be taked by above-mentioned classification, thus reasonable disposition medical resource, reduce medical treatment cost.
Furtherly, wherein basic diagnosis service, high level diagnostics service are realized by Portable Monitoring Set.
Transfusion monitoring device include single-chip microcomputer, dropping speed testing circuit, liquid storage monitoring circuit, remaining time computing module, motor, circuit for controlling motor, wireless communication module, interface circuit, sound and light alarm module, display module and input module.
Liquid storage observation circuit is used for the residue amount of liquid medicine detecting in remaining infusion bottle, dropping speed testing circuit drips speed for the medicinal liquid detected in drop bottle, remaining time computing module according to residue amount of liquid medicine and medicinal liquid drip speed calculate residue medicinal liquid drip off the time, residue amount of liquid medicine, medicinal liquid drips speed and the time that drips off exports to single-chip microcomputer, single-chip microcomputer is according to residue amount of liquid medicine, medicinal liquid drips speed and the time that drips off controls motor by circuit for controlling motor and changes a speed, single-chip microcomputer controls motor change droplet speed according to the circuit for controlling motor that enters through of input module, and when remaining (such as 5%) when amount of liquid medicine is reached or fallen below threshold value, Single-chip Controlling sound and light alarm module produces sound and light signal and carries out reporting to the police also, Single-chip Controlling display module shows residue amount of liquid medicine in real time, medicinal liquid drips speed and drips off the time, single-chip microcomputer is connected with radio communication circuit also by interface circuit, amount of liquid medicine will be remained, medicinal liquid drips speed, drip off time and alarm signal to send to attending doctor;
Motor is motor, and its rotational displacement is linear with input pulse;
Dropping speed testing circuit adopts infrared detection technology, after dropping funnel both sides arrange infrared transmitter and phototriode infrared transmitter sends infrared light, it is irradiated to phototriode after light penetration dropping funnel, phototriode is emitted onto the light above it and becomes current signal and export, and then obtains the frequency of dropping liquid;
The above embodiment only have expressed one embodiment of the present invention, but therefore can not be interpreted as limitation of the scope of the invention.It should be pointed out that, for the person of ordinary skill of the art, without departing from the inventive concept of the premise, it is also possible to making some deformation and improvement, these broadly fall into protection scope of the present invention.

Claims (10)

1. the medical system with monitoring infusion, it is characterised in that: it includes hospital system, home system and remote monitoring center,
Hospital system includes medical investigative apparatus, patient condition diversity module, intelligent diagnostics module, data consolidation server and transfusion monitoring device,
Home system includes Portable Monitoring Set,
Attending doctor realizes the formulation to the medical examination of patient, diagnosis and therapeutic scheme by hospital system, attending doctor obtains, by the Portable Monitoring Set of home system, the real time data nursed the sick of being in, Portable Monitoring Set also with remote monitoring center wireless connections, thus reply can be taked in time when emergency occurs in patient, and emergency is notified attending doctor simultaneously and uploads data consolidation server
When patient is in hospital system, the multinomial medical examination data of medical investigative apparatus detection patient, and input patient condition diversity module, patient condition diversity module adopts assessment algorithm that the state of an illness of patient is estimated, the doctor in charge then enters the patient condition diversity module assessment result to dividing through authentication and examines, if the doctor in charge thinks that the assessment result divided is correct, then the relevant information of patient and medical examination data are filed according to assessment result, and input intelligent diagnostics module, if the doctor in charge thinks that the assessment result divided is incorrect, the assessment result of patient is then determined by the doctor in charge, again the relevant information of patient and medical examination data are filed according to assessment result, and input intelligent diagnostics module;The intelligent diagnostics module relevant information according to patient, medical examination data and assessment result automatically generate corresponding therapeutic scheme, the doctor in charge enters intelligent diagnostics module through authentication and therapeutic scheme is examined, if the doctor in charge thinks that therapeutic scheme is correct, then by the relevant information of patient, medical examination data, therapeutic scheme and assessment result are uploaded to data consolidation server, if the doctor in charge thinks that therapeutic scheme is incorrect, then reformulated therapeutic scheme by the doctor in charge, again by the relevant information of patient, medical examination data, therapeutic scheme and assessment result are uploaded to data consolidation server;
Transfusion monitoring device include single-chip microcomputer, dropping speed testing circuit, liquid storage monitoring circuit, remaining time computing module, motor, circuit for controlling motor, wireless communication module, interface circuit, sound and light alarm module, display module and input module.
2. a kind of medical system with monitoring infusion according to claim 1, it is characterised in that: the assessment algorithm of patient condition diversity module particularly as follows:
Each medical examination data are carried out grade classification, then
Whole detection measured value is:
O P M = ( T 1 &times; T 2 + T 2 &times; T 3 + ... + T i - 1 &times; T i + T i &times; T 1 ) &times; s i n ( 360 / N ) 2 &times; M 2 ,
Wherein, OPM is whole detection measured value, TiIt is the grade point of i-th medical examination data, i=1,2 ..., N, Ti=1,2 ..., M, M is greatest level value, M >=2, and N is the total item of medical examination data;
Maximum overall measured value is:
O P M _ M A X = N &times; s i n ( 360 / N ) 2 ,
OPM_MAX is maximum overall measured value
Then the assessed value as patient's state of an illness of assessment result is:
C = O P M O P M _ M A X .
3. a kind of medical system with monitoring infusion according to claim 2, it is characterised in that: M=5, N=6,
Medical investigative apparatus includes glucometer, ECG detecting device, respiratory frequency detector, cholesterol levels detector, blood pressure instrument, X-ray production apparatus,
Medical examination data include blood sugar concentration, ECG data evaluation, respiratory frequency, cholesterol levels, blood pressure conditions, radioscopy evaluation.
4. a kind of medical system with monitoring infusion stated according to claim 3, it is characterised in that:
The grade classification of blood sugar concentration is as shown in the table,
Grade 1 2 3 4 5 Blood sugar concentration (mg/DL) <98 98-154 155-183 184-254 >254
The grade classification of respiratory frequency is as shown in the table,
Grade 1 2 3 4 5 Respiratory frequency (beat/min) 12-18 9-11,19-21 6-8,22-24 3-5,25-27 <3,>27
The grade classification of cholesterol levels is as shown in the table,
Grade 1 2 3 4 5 Cholesterol levels (mmolg/l) <5.2 5.2-5.5 5.6-5.8 5.9-6.0 >6.0
The grade classification of blood pressure conditions is as shown in the table,
ECG data evaluation refers to the evaluation that doctor makes according only to electrocardiogram;
Radioscopy evaluation refers to the evaluation that doctor makes according only to X-ray.
5. a kind of medical system with monitoring infusion according to claim 1, it is characterized in that: intelligent diagnostics module includes dynamic comprehensive data base, neural network learning module, inference machine, explanation module, sample knowledge storehouse, neural network structure knowledge base, clinical symptoms Description of Knowledge storehouse, disease knowledge storehouse, therapeutic scheme knowledge base, historical record knowledge base, knowledge data library management module
Each knowledge base can be adjusted management to neural network learning module and by KBM module by expert, safeguard and update;
Explanation module is the bridge linked up between system and attending doctor, is responsible for being converted into the diagnosis of attending doctor the information that system is capable of identify that, and output result last for system is converted into attending doctor it will be appreciated that information;
Inference machine uses the own knowledge through possessing of system, and the specifying information in conjunction with the injection moulding process comprised in dynamic comprehensive data base makes inferences, and draws corresponding therapeutic scheme.Inference machine includes ANN Reasoning module and RBR module two parts.Reasoning between " clinical symptoms disease " uses neural network module, uses RBR between " disease treatment scheme ";
Neural network learning module propose include the network number of plies, input, output, hidden node number neural network structure, organize learning sample to be trained and Learning Algorithm, extracted by sample knowledge storehouse and learn, obtain weights distribution, complete knowledge acquisition.
6. a kind of medical system with monitoring infusion according to claim 5, it is characterised in that: the method that neural network structure is combined by fuzzy logic and neutral net realizes, and Learning Algorithm is BP algorithm.
Sample knowledge storehouse, neural network structure knowledge base, clinical symptoms Description of Knowledge storehouse, disease knowledge storehouse, scheme of curing the disease knowledge base, historical record knowledge base deposit corresponding knowledge data respectively.
Knowledge data library management module has complete database manipulation function, and the carrying out of each knowledge base is inquired about, adds and delete and revise by knowledge data library management module by expert,
Dynamic comprehensive data base receives and stores the relevant information of patient, medical examination data and assessment result.
7. a kind of medical system with monitoring infusion according to claim 6, it is characterised in that: the work process of inference machine is as follows:
(1) relevant information of patient, medical examination data and assessment result are carried out Fuzzy processing, and in this, as the input pattern of each sub neural network;
(2) from neural network structure knowledge base, read in the weight matrix of each sub neural network;
(3) in conjunction with the weight matrix between each sub neural network input layer, hidden layer, calculate the output of each sub neural network input layer, and will be output as the input of hidden neuron;
(4) in conjunction with the weight matrix of each sub neural network hidden layer, output interlayer, the neuronic output valve of output layer is calculated;
(5) according to the neuronic output valve of output layer, carry out the reasoning of rule-based reasoning module in conjunction with the relevant information in dynamic comprehensive data base, it is determined that the cause of disease, provide credibility;
(6) according to the reason finally determined, the therapeutic scheme corresponding to the concrete cause of disease is provided in conjunction with relevant information.
8. a kind of medical system with monitoring infusion according to claim 2, it is characterised in that: determine whether patient can be in nursing, if assessed value is C >=0.4, then client need is in hospital according to the suggestion of assessed value C and the doctor in charge;If assessed value is 0 < C < 0.1, such patient fully recovers substantially, it is not necessary to further diagnosis monitoring service;If assessed value is 0.1≤C < 0.4 and doctor in charge's agreement, then patient can carry out home care.
9. a kind of medical system with monitoring infusion according to claim 8, it is characterized in that: when patient is in home system, judge the basic diagnosis service required for home care patients, high level diagnostics service, diagnosis report form, attending doctor's type, monitoring period and monitoring cycle according to assessed value;
As 0.1≤C < 0.2, such patient is slight patient,
Basic diagnosis service is patient's essential information, case history, electrocardiogram, blood pressure detecting,
Service without high level diagnostics,
Diagnosis report form is web page notification and mail,
Attending doctor's type is the attending doctor of less than 10 years experiences,
Monitoring period is 1 day,
The monitoring cycle be 1 hour once;
As 0.2≤C < 0.3, such patient is moderate patient,
Basic diagnosis service is patient's essential information, case history, electrocardiogram, blood pressure detecting, the detection of blood sugar test, cardiopulmonary, cholesterol levels detection,
Service without high level diagnostics,
Diagnosis report form is web page notification and mail,
Attending doctor's type is the attending doctor of less than 10 years experiences,
Monitoring period is 7 days,
The monitoring cycle be 1 hour once;
As 0.3≤C < 0.4, such patient is severe patient,
Basic diagnosis service is patient's essential information, case history, electrocardiogram, blood pressure detecting, the detection of blood sugar test, cardiopulmonary, cholesterol levels detection, assessment aroused in interest, heart radiography,
High level diagnostics service is virtual heart, expert consultation,
Diagnosis report form is mobile phone, web page notification and mail,
Attending doctor's type is the attending doctor of more than 10 years experiences,
Monitoring period is 30 days,
The monitoring cycle is 1 minute.
10. a kind of medical system with monitoring infusion according to claim 1, it is characterized in that: liquid storage observation circuit is used for the residue amount of liquid medicine detecting in remaining infusion bottle, dropping speed testing circuit drips speed for the medicinal liquid detected in drop bottle, remaining time computing module according to residue amount of liquid medicine and medicinal liquid drip speed calculate residue medicinal liquid drip off the time, residue amount of liquid medicine, medicinal liquid drips speed and the time that drips off exports to single-chip microcomputer, single-chip microcomputer is according to residue amount of liquid medicine, medicinal liquid drips speed and the time that drips off controls motor by circuit for controlling motor and changes a speed, single-chip microcomputer controls motor change droplet speed according to the circuit for controlling motor that enters through of input module, and when remaining (such as 5%) when amount of liquid medicine is reached or fallen below threshold value, Single-chip Controlling sound and light alarm module produces sound and light signal and carries out reporting to the police also, Single-chip Controlling display module shows residue amount of liquid medicine in real time, medicinal liquid drips speed and drips off the time, single-chip microcomputer is connected with radio communication circuit also by interface circuit, amount of liquid medicine will be remained, medicinal liquid drips speed, drip off time and alarm signal to send to attending doctor;
Motor is motor, and its rotational displacement is linear with input pulse;
Dropping speed testing circuit adopts infrared detection technology, after dropping funnel both sides arrange infrared transmitter and phototriode infrared transmitter sends infrared light, it is irradiated to phototriode after light penetration dropping funnel, phototriode is emitted onto the light above it and becomes current signal and export, and then obtains the frequency of dropping liquid.
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