CN106963568A - Intelligent wheel chair with health monitoring systems - Google Patents
Intelligent wheel chair with health monitoring systems Download PDFInfo
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- CN106963568A CN106963568A CN201710221113.8A CN201710221113A CN106963568A CN 106963568 A CN106963568 A CN 106963568A CN 201710221113 A CN201710221113 A CN 201710221113A CN 106963568 A CN106963568 A CN 106963568A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61G—TRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
- A61G5/00—Chairs or personal conveyances specially adapted for patients or disabled persons, e.g. wheelchairs
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, 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
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, 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
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, 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
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/022—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
- A61B5/0225—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers the pressure being controlled by electric signals, e.g. derived from Korotkoff sounds
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, 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
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
- A61B5/6894—Wheel chairs
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
- A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61G—TRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
- A61G5/00—Chairs or personal conveyances specially adapted for patients or disabled persons, e.g. wheelchairs
- A61G5/10—Parts, details or accessories
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61G—TRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
- A61G2203/00—General characteristics of devices
- A61G2203/10—General characteristics of devices characterised by specific control means, e.g. for adjustment or steering
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61G—TRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
- A61G2203/00—General characteristics of devices
- A61G2203/70—General characteristics of devices with special adaptations, e.g. for safety or comfort
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Abstract
The invention discloses the intelligent wheel chair with health monitoring systems, the database storage module obtained by transport module and the existing common disease that is stored with blood pressure, heart rate, pulse and temperature data, before intelligent wheel chair use, utilize algorithm of support vector machine or k nearest neighbor algorithm training managing modules so that processing module is obtained the data of blood pressure, heart rate, the pulse and body temperature ability corresponding with the common disease；When training is completed, processing module can understand user current health status and related potential illness using algorithm of support vector machine or k nearest neighbor algorithms processing blood pressure, heart rate, pulse, four variables of body temperature.The present invention carries out pattern-recognition using algorithm of support vector machine or k nearest neighbor algorithm training managings module, pattern-recognition goes out the corresponding conventional illness of feature most probable that four variables combine, so as to obtain the illness analysis result of user, as the auxiliary judgment of user's health status, and the preliminary foundation of follow-up visit can be used as.
Description
Technical field
The present invention relates to wheelchair, more particularly to a kind of intelligent wheel chair with health monitoring systems.
Background technology
As China progresses into aging society, the quantity of Empty nest elderly increases year by year, in addition, also a considerable amount of
Handicapped disabled person, this causes China to increase sharply the demand of medical personnel.However, lacking due to medical personnel's resource
The reasons such as weary, human cost, intelligent wheel chair is increasingly becoming the elderly or invalid is able to a kind of important of life activity self-care
Instrument, but these wheelchairs can only often meet the function of the health detections such as the demand of people's trip, or simple body temperature, it is impossible to
The purpose of long term monitoring user's health status is reached, intelligence degree is relatively low.
The content of the invention
In view of the deficiencies of the prior art, the present invention provides a kind of intelligent wheel chair with health monitoring systems, Neng Gouchang
Phase, the health status of user is monitored in real time, understands the variation tendency of user's health parameters, and with common disease
Index is contrasted, and the pattern-recognition of illness is carried out using the processing module of intelligent wheel chair, so as to realize user's health status
Auxiliary judgment.
The above-mentioned purpose of the present invention is achieved by the following technical programs.
A kind of intelligent wheel chair with health monitoring systems, including a wheelchair main body, two handles, processing module, transmission mould
Block, power supply module, the health monitoring systems are realized based on the monitoring to blood pressure, heart rate, pulse and body temperature and feedback：
The intelligent wheel chair also includes blood pressure heart rate detection module, pulse detection module, temperature check module, database purchase mould
Block, voice module, print module；The blood pressure, heart rate by the wheelchair main body chair back blood pressure heart rate detection module detect,
The pulse detects that the body temperature is by the body in wheelchair main body or/and handle by the pulse detection module on handle
Warm detection module detection；The blood pressure heart rate detection module, pulse detection module, temperature check module with processing module phase
Even, the processing module obtains blood pressure, heart rate, pulse and the temperature check result of user；
The database storage module, transport module are connected two-by-two with processing module, and the database storage module passes through described
Transport module obtain and the existing common disease that is stored with blood pressure, heart rate, pulse and temperature data, used in the intelligent wheel chair
Before, utilize algorithm of support vector machine or k nearest neighbor algorithm training managing modules so that processing module is obtained blood pressure, heart rate, pulse
The ability corresponding with the common disease with the data of body temperature；Training complete when, the processing module can using support to
Amount machine algorithm or k nearest neighbor algorithms processing blood pressure, heart rate, pulse, four variables of body temperature, understand the current health status of user and
Related potential illness, and illness judged result is exported by voice module and print module.
The algorithm of support vector machine is a kind of sorting algorithm, general to improve learning machine by seeking structuring least risk
Change ability, realizes the minimum of empiric risk and fiducial range, so as to reach in the case where statistical sample amount is less, can also obtain
Obtain the purpose of good statistical law.SVMs is a kind of two classification model, and its basic model is defined as on feature space
The maximum linear classifier in interval, i.e. the learning strategy of SVMs is margin maximization, can finally be converted into one it is convex
The solution of quadratic programming problem.During the processing module of training intelligent wheel chair of the present invention, give one group of training sample, each mark
Belong to two classes, a SVMs training algorithm establishes a model, and it is a class or other classes to distribute new example, makes it
As the classification of non-probability binary linearity, for example, point in space, mapping so that the example of the different classification is by one
The expression of individual obvious gap division as wide as possible；New example is then mapped in identical space, and predicts to fall based on them
Belong to a classification in the clearance side.The health data that the present invention can be obtained with algorithm of support vector machine research and application, enters
Row illness recognition mode, for classification and regression analysis, obtains the auxiliary judgment of matrix illness.
The core of the k nearest neighbor algorithms is if the k in feature space, a sample is most like（That is feature space
It is closest）Sample in it is most of belong to some classification, then the sample falls within this classification, and with this classification
The characteristic of sample.This method according to the classification of one or several closest samples on categorised decision it is determined that only determine to treat
Divide the classification described in sample.K nearest neighbor algorithms are only relevant with minimal amount of adjacent sample in classification decision-making；Due to k nearest neighbor algorithms
Mainly by neighbouring sample limited around, rather than by differentiating that the method for class field determines generic, therefore for this hair
For the intersection of bright class field or overlapping more sample set to be divided, k nearest neighbor algorithms are more suitable for compared with other method.For example, given
One blood pressure, heart rate, pulse, the training set of four variable correspondence different syndromes of body temperature, for the data group of new input, in instruction
Practice data and be focused to find out the k closest with the data group according to group, this k belongs to certain class illness according to the majority of group, just
The data group of the input is categorized into this illness.K nearest neighbor algorithms of the present invention also carry out yojan, deletion pair to sample attribute in advance
Classification results influence less attribute, quickly draw the classification of sample to be sorted.The present invention can use k nearest neighbor algorithm research and applications
Obtained health data, carries out illness recognition mode, for classification analysis, obtains the auxiliary judgment of matrix illness.
Common disease of the present invention includes flu, fever, hypertension, arrhythmia cordis, heart disease, angiocardiopathy etc.
Deng；The database storage module is stored with blood pressure, heart rate, pulse and the temperature data of above-mentioned existing common disease, passes through length
The Real-time Monitoring Data and its variation tendency of time, the detection data of acquisition are entered with the illness index in database storage module
Row contrast, pattern-recognition goes out the corresponding conventional illness of feature institute most probable that these four variables combine, processing module is obtained
The illness analysis result obtained is as the auxiliary judgment of user's health status, the preliminary foundation that can be diagnosed as consequent pathological conditions.
Preferably, intelligent wheel chair of the present invention also occlusion body re-detection module, the body weight detection module is located at wheelchair main body
Seat support in, for a long time to the monitoring of user's body weight parameters, in conjunction with the blood pressure of user, heart rate, pulse and temperature check
As a result, it is possible to carry out follow-up health monitoring to the crowd at the beginning of disease more, subtract when user's body weight surge in a period of time or cruelly
When, illness recovery situation is exported by voice module and print module.
Preferably, the intelligent wheel chair also include control panel, the control panel provided with blood pressure heart rate detection module,
The start key of pulse detection module, temperature check module, after detection is finished, processing module closes the blood pressure heart rate detection automatically
Module, pulse detection module, temperature check module.
Preferably, the processing module is a single-chip microcomputer, and the pulse detection module is an optical fiber type pulse inductor.
Preferably, the blood pressure heart rate detection module includes pressure sensor, servo pressurization air pump, Electronic Control exhaust
Valve, the pressure sensor is installed in the arm band on the wheelchair main body chair back, and the servo pressurization air pump is vented with Electronic Control
Valve assembly is in the wheelchair main body chair back, and the pressure sensor, servo pressurization air pump, Electronic Control air bleeding valve are and processing module
It is connected.
It is highly preferred that being connected between the arm band and the chair back by elastic band, the chair back side has described for storing
The collecting bag of elastic band and arm band.
Preferably, the handle upper surface is provided with the circular arc bar wrist external member of a upper opening, the wrist external member bottom
Outside is connected with handle, and the bottom inside of the wrist external member is provided with the pulse detection module, and the opening is passed in and out for wrist,
The wrist external member top is provided with warning light, the indicator lamp flicker during pulse detection module detection.In use, the hand of people
The skin that wrist enters on the inside of wrist external member, wrist from the opening is contacted with the pulse detection module, can accurately be detected
The real-time pulse of people.
Preferably, the temperature check module has two, and one is connected with the chair back of wheelchair main body, and another is located at described
Wrist external member bottom inside.
As another preferred embodiment, the pulse detection module is located in the hand external member of handle upper surface,
One end closing of the hand external member, the other end is provided with the opening passed in and out for finger, and the hand external member upper end is provided with warning light,
The indicator lamp flicker during pulse detection module detection.The hand external member is specially a finger-stall part.Preferably, it is described
Temperature check module has two, and one is connected with the chair back of wheelchair main body, and another is located at the finger external member bottom.
Preferably, the temperature check module includes temperature sensor, integrated circuit, and the temperature sensor passes through collection
It is connected into circuit with the processing module.
Preferably, the intelligent wheel chair also includes heater, and the heater is connected with processing module, when two institutes
When the detection difference for stating temperature check module exceedes preset range, the heater is controlled to start by processing module.
Preferably, the print module includes printer, paper storing box, by processing module by the data of acquisition at the end of detection
And analysis illness result is sent to printer, prints result.
Preferably, the intelligent wheel chair also includes user terminal, and the user terminal passes through transport module and the processing module
It is connected, the illness result that the Monitoring Data and analysis for receiving processing module acquisition are obtained.
Compared with prior art, beneficial effect of the present invention is：There is provided a kind of intelligence wheel with health monitoring systems
Chair, the processing module for training health monitoring systems using algorithm of support vector machine or k nearest neighbor algorithms carries out pattern-recognition, when will be long
Between Real-time Monitoring Data and its variation tendency and database storage module in store the blood pressure of existing common disease, heart rate,
Pulse and temperature data are analysed and compared, and processing module pattern-recognition goes out the feature most probable that four variables combine
Corresponding conventional illness, so that the illness analysis result of user is obtained, as the auxiliary judgment of user's health status, and can
It is used as follow-up visit, the preliminary foundation of diagnosis.Intelligent wheel chair of the present invention fully complies with human body use habit, is adapted to user in nothing
Other people are used alone in the case of helping, and testing result can be exported by voice module, print module and user terminal, i.e., conveniently make
User understands self health status, also allows for its caregiver/household and learns its health status, when shortening the first aid of burst disease
Between, medical family oriented is realized, there is industrial application value.
Brief description of the drawings
Fig. 1 is a kind of control block diagram of the intelligent wheel chair with health monitoring systems of embodiment 1.
Fig. 2 is a kind of structural representation of the intelligent wheel chair with health monitoring systems of embodiment 3.
Fig. 3 is a kind of partial schematic diagram of wrist external member described in embodiment 3.
Fig. 4 is the partial schematic diagram of collecting bag part described in embodiment 4.
Fig. 5 is the partial schematic diagram of arm band part described in embodiment 4.
In figure：1st, wheelchair main body；101st, arm band；102nd, collecting bag；103rd, elastic band；104th, extensible member；2nd, handle；201、
Control panel；202nd, hand external member；3rd, processing module；4th, data detection module；401st, blood pressure heart rate detection module；401a, pressure
Force snesor；402nd, temperature check module；403rd, pulse detection module；404th, body weight detection module；5th, transport module；6th, data
Library storage module；7th, user terminal；8th, voice module；9th, print module.
Embodiment
Clear, complete description is carried out to the technical scheme of various embodiments of the present invention below with reference to accompanying drawing, it is clear that described
Embodiment is only a part of embodiment of the present invention, rather than whole embodiments.Based on embodiments of the invention, this area
Those of ordinary skill's all other embodiment resulting on the premise of creative work is not made, belongs to institute of the present invention
The scope of protection.
In the description of the invention, it is necessary to explanation, term " " center ", " on ", " under ", "left", "right", " vertical ",
The orientation or position relationship of the instruction such as " level ", " interior ", " outer " be based on orientation shown in the drawings or position relationship, merely to
Be easy to the description present invention and simplify description, rather than indicate or imply signified device or element must have specific orientation,
With specific azimuth configuration and operation, therefore it is not considered as limiting the invention.In addition, term " first ", " second ",
" the 3rd " is only used for describing purpose, and it is not intended that indicating or implying relative importance.
In the description of the invention, it is necessary to illustrate, unless otherwise clearly defined and limited, term " installation ", " phase
Even ", " connection " should be interpreted broadly, for example, it may be being fixedly connected or being detachably connected, or be integrally connected；Can
To be mechanical connection or electrical connection；Can be joined directly together, can also be indirectly connected to by intermediary, Ke Yishi
The connection of two element internals.For the ordinary skill in the art, with concrete condition above-mentioned term can be understood at this
Concrete meaning in invention.
The present invention is described in further detail below by specific embodiment and with reference to accompanying drawing.
Embodiment 1
As shown in figure 1, the present embodiment provides a kind of intelligent wheel chair with health monitoring systems, including a wheelchair main body, two
Hand, processing module 3, data detection module 4, transport module 5, power supply module, database storage module 6, user terminal 7, voice mould
Block 8, print module 9, the power supply module are used to be powered the intelligent wheel chair, and the power supply module is chargeable dress
Put.
The health monitoring systems are realized based on the monitoring to blood pressure, heart rate, pulse and body temperature and feedback：The data inspection
Survey module 4 and include blood pressure heart rate detection module 401, temperature check module 402, pulse detection module 403；The blood pressure, heart rate
Detect that the pulse is by the pulse detection on handle by the blood pressure heart rate detection module 401 on the wheelchair main body chair back
Module 403 detects that the body temperature is detected by the temperature check module 402 in wheelchair main body or/and handle；The blood pressure heart
Rate detection module 401, pulse detection module 403, temperature check module 402 are connected with processing module 3, the processing module 3
Obtain blood pressure, heart rate, pulse and the temperature check result of user；
The database storage module 6, transport module 5 are connected two-by-two with processing module 3, remote data base or the user terminal 7
Can as common disease database supplier, the database storage module 6 obtains and stored by the transport module 5
Blood pressure, heart rate, pulse and the temperature data of remote data base or the existing common disease of the offer of user terminal 7 are provided.In the intelligence
Wheelchair is before use, utilize algorithm of support vector machine training managing module 3 so that processing module 3 is obtained blood pressure, heart rate, pulse
The ability corresponding with the common disease with the data of body temperature；Training complete when, the processing module 3 can using support to
Amount machine algorithm process blood pressure, heart rate, pulse, four variables of body temperature, understand user current health status and related potential disease
Disease, and illness judged result is exported by user terminal 7, voice module 8 and print module 9.Specifically, the user terminal 7 passes through
Transport module 5 is connected with the processing module 3, the illness that the Monitoring Data and analysis for receiving the acquisition of processing module 3 are obtained
As a result.
Common disease of the present invention includes flu, fever, hypertension, arrhythmia cordis, heart disease, angiocardiopathy etc.
Deng；The database storage module 6 is stored with the corresponding blood pressure of above-mentioned existing common disease, heart rate, pulse and temperature data, leads to
Prolonged Real-time Monitoring Data and its variation tendency are crossed, by the illness in the detection data of acquisition and database storage module 6
Index is contrasted, and what pattern-recognition went out in the corresponding conventional illness of feature institute most probable that these four variables combine one arrives
Two kinds, the illness analysis result that processing module 3 is obtained can be used as follow-up disease as the auxiliary judgment of user's health status
The preliminary foundation of disease diagnosis.
The present invention carries the intelligent wheel chair of health monitoring systems, and its core is processing module 3, and the intelligent wheel chair makes
With preceding, processing module 3 is trained using algorithm of support vector machine, the purpose of common disease pattern-recognition is reached.The branch
The basic model for holding vector machine algorithm is characterized the linear classifier of interval maximum spatially, obtains the blood of existing common disease
After pressure, heart rate, pulse and body temperature feature, one group of training sample is given, successively by blood pressure, heart rate, pulse and body in each sample
Blood pressure, heart rate, pulse and the body temperature of common disease are compared one by one in the numerical value and database of temperature, filter out these four
Conventional illness corresponding to the feature that variable combines, and impurity elimination and record, study illness and institute are further carried out to result
The corresponding relation of variable combination is stated, so as to the health data that research and application is obtained when the intelligent wheel chair is used, is carried out
Effective recognition mode of illness.Algorithm of support vector machine is used for the classification and regression analysis of processing module 3, its energy by the present embodiment
It is enough also to obtain good statistical law in the case where statistical sample amount is certain, it is final to obtain the auxiliary of user's matrix illness
Help judgement.
Embodiment 2
The present embodiment and a kind of intelligent wheel chair with health monitoring systems that embodiment is provided are essentially identical, and difference exists
In the intelligent wheel chair is trained before use, substituting algorithm of support vector machine using k nearest neighbor algorithms to processing module, is reached
To the purpose of common disease pattern-recognition.The core of the k nearest neighbor algorithms is if the k in feature space, a sample
Most of in most adjacent sample belong to some classification, then the sample falls within this classification, and with this classification
The characteristic of sample.
After processing module obtains blood pressure, heart rate, pulse and the body temperature feature of existing common disease, one group of training sample is given
This, the data for filtering out blood pressure in each sample, heart rate, pulse and body temperature combine one to two closest common diseases, i.e.,
It is judged as one to two kinds in the corresponding conventional illness of most probable, because k nearest neighbor algorithms are mainly by neighbouring sample limited around,
Rather than generic is determined by differentiating the method for class field, therefore intersection for class field of the present invention or overlapping more treat
Divide for sample set, k nearest neighbor algorithms are more suitable for compared with other method.
The model that k nearest neighbor algorithms are used actually corresponds to the division of feature space, the selection of k values, distance metric and point
Class decision rule is three fundamentals of the algorithm：When k values are smaller, only the training example nearer with input example just can be right
Predict the outcome and work, but easily occur over-fitting；If k refers to larger, it is possible to reduce the evaluated error of study, but study it is near
Like error increase, at this moment prediction can also be worked with inputting the training example of training example farther out of example farther out, make prediction
Make a mistake；The present embodiment selects optimal k values using the method for cross validation, and k takes 4；Distance metric uses Lp distances, p
2 are taken, is Euclidean distance, and before measurement, the value of each attribute is standardized, the attribute ratio with larger initial codomain is prevented
The weight of attribute with smaller initial codomain is excessive；Categorised decision, in k of input example closest training examples
More several classes of classifications for determining input example.
The health data that the present embodiment is obtained with k nearest neighbor algorithm research and applications, carries out illness recognition mode, divides for classifying
Analysis, the illness analysis result that processing module is obtained can be used as consequent pathological conditions as the auxiliary judgment of user's health status
The preliminary foundation of diagnosis.
Embodiment 3
As shown in Fig. 2 the pulse detection module 403 is located in the hand external member 202 of the upper surface of handle 2, the hand external member
202 be specially a finger-stall part, and one end closing of the hand external member 202, the other end is described provided with the opening passed in and out for finger
The upper end of hand external member 202 is provided with warning light（It is not drawn into figure）, the pulse detection module 403 indicator lamp sudden strain of a muscle when detecting
It is bright.The temperature check module 402 has two, and one is connected with the chair back of wheelchair main body 1, and another is located at the hand external member
202 bottoms.The blood pressure heart rate detection module 401 includes pressure sensor 401a, servo pressurization air pump, Electronic Control exhaust
Valve, the pressure sensor 401a is installed in the arm band 101 on the chair back of wheelchair main body 1, the servo pressurization air pump and electronics
Control air bleeding valve dress（It is not drawn into figure）Be embedded in the chair back of wheelchair main body 1, the pressure sensor 401a, servo pressurization air pump,
Electronic Control air bleeding valve is connected with processing module 3.
As a kind of preferred embodiment, the hand external member 202 is specially a wrist sleeve part, is specially：It is described
The upper surface of handle 2 is provided with the circular arc bar wrist external member of a upper opening, and the wrist external member bottom outside is connected with handle 2, institute
The bottom inside for stating wrist external member is provided with the pulse detection module 403, and the opening is passed in and out for wrist, in the wrist external member
Portion is provided with warning light, the pulse detection module 403 indicator lamp flicker when detecting.In use, the wrist portion of people is from described
The skin that opening enters on the inside of wrist external member, wrist is contacted with the pulse detection module 403, can accurately detect that people's is real-time
Pulse.The temperature check module 402 is then located at the wrist external member bottom inside, arranged side by side with the pulse detection module 403.
This intelligent wheel chair also occlusion body re-detection module 404.The body weight detection module 404 is located at the chair of wheelchair main body 1
In seat, for a long time to the monitoring of user's body weight parameters, in conjunction with the blood pressure of user, heart rate, pulse and temperature check result,
Follow-up health monitoring can be carried out to the crowd at the beginning of disease more, when user's body weight is increased sharply or subtracted cruelly in a period of time, is led to
Cross voice module and the output illness recovery situation of print module 9.The print module 9 is located under the base of the wheelchair main body 1
Side.
The intelligent wheel chair also includes the control panel 201 being located on handle 2, and the control panel 201 is provided with blood pressure
Heart rate detection module 401, pulse detection module 403, temperature check module 402, the start key of body weight detection module 404, detection
After finishing, processing module 3 closes the blood pressure heart rate detection module 401, pulse detection module 403, temperature check module automatically
402nd, body weight detection module 404.
Embodiment 4
As shown in Fig. 3 ~ 4, there are the collecting bag 102 for storing the arm band 101, arm band 101 in the chair back side of wheelchair main body 1
Provided with viscous glutinous band, and wherein, one end is arc rubber at both ends, arm band 101 has certain hardness, and convenient use person is singlehanded
Arm is put into；The arm band 101 is rolled and is put into collecting bag 102, pine is passed through between arm band 101 and the chair back of wheelchair main body 1
Taut band 103 is connected.The temperature check module 402 being connected with the chair back side of wheelchair main body 1 may be alternatively located at the collecting bag
In 102, the temperature check module 402 is connected by an extensible member 104 with the chair back of the wheelchair main body 1.
Specifically, the pressure sensor 401a is installed in the arm band 101, for human blood-pressure, heart rate progress
Check.The temperature check module 402 include temperature sensor, integrated circuit, the temperature sensor by integrated circuit with
The control module is connected；For checking body temperature.
Apparatus of the present invention are before use, the arm band 101, temperature check module 402 are positioned in the collecting bag 102；
When using：Collecting bag 102 is opened, upper arm is put into one end of the arc rubber of arm band 101 by extraction arm band 101, then by arm band 101
The other end be centered around on upper arm and be fixed with viscous glutinous band, utilize blood pressure heart rate detection module 401 to carry out blood pressure and heart rate
Detection, the position of arm band 101 can be adjusted by elastic band 103, adapt to the use habit and needs of different people；Open collecting bag
102, temperature check module 402 is taken out, the position of temperature check module 402 is adjusted using extensible member 104, test side is positioned over
Oxter, carries out the detection of axillaty temperature, and Convenient wheelchair user detects alone to itself heart rate, blood pressure, body temperature.
The present invention enters row mode using the processing module of algorithm of support vector machine or k nearest neighbor algorithms training health monitoring systems
Identification, identifies the corresponding conventional illness of feature most probable that four variables combine, so as to obtain the disease of user
Disease analysis result, as the auxiliary judgment of user's health status, and can be used as follow-up visit, the preliminary foundation of diagnosis.This hair
Bright intelligent wheel chair fully complies with human body use habit, is adapted to user and is used alone in the case where being helped without other people, detection knot
Fruit can be exported by voice module, print module and user terminal, i.e., convenient use person understands self health status, also allows for it and sees
Shield personnel/household learns its health status, shortens the emergency time of burst disease, realizes medical family oriented, there is commercial Application
Value.
Finally it should be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
The present invention is described in detail with reference to the foregoing embodiments, it will be understood by those within the art that：It still may be used
To be modified to the technical scheme described in previous embodiment, or which part or all technical characteristic are equal
Replace；And these modifications or replacement, the essence of appropriate technical solution is departed from technical scheme of the embodiment of the present invention.
Claims (10)
1. a kind of intelligent wheel chair with health monitoring systems, including a wheelchair main body, two handles, processing module, transport module,
Power supply module, it is characterised in that the health monitoring systems are real based on the monitoring to blood pressure, heart rate, pulse and body temperature and feedback
It is existing：
The intelligent wheel chair also includes blood pressure heart rate detection module, pulse detection module, temperature check module, database purchase mould
Block, voice module, print module；The blood pressure, heart rate by the wheelchair main body chair back blood pressure heart rate detection module detect,
The pulse detects that the body temperature is by the body in wheelchair main body or/and handle by the pulse detection module on handle
Warm detection module detection；The blood pressure heart rate detection module, pulse detection module, temperature check module with processing module phase
Even, the processing module obtains blood pressure, heart rate, pulse and the temperature check result of user；
The database storage module, transport module are connected two-by-two with processing module, and the database storage module passes through described
Transport module obtain and the existing common disease that is stored with blood pressure, heart rate, pulse and temperature data, used in the intelligent wheel chair
Before, utilize algorithm of support vector machine or k nearest neighbor algorithm training managing modules so that processing module is obtained blood pressure, heart rate, pulse
The ability corresponding with the common disease with the data of body temperature；Training complete when, the processing module can using support to
Amount machine algorithm or k nearest neighbor algorithms processing blood pressure, heart rate, pulse, four variables of body temperature, understand the current health status of user and
Related potential illness, and illness judged result is exported by voice module and print module.
2. the intelligent wheel chair according to claim 1 with health monitoring systems, it is characterised in that also comprising chain of command
Plate, the control panel is provided with blood pressure heart rate detection module, pulse detection module, the start key of temperature check module, detection
After finishing, processing module closes the blood pressure heart rate detection module, pulse detection module, temperature check module automatically.
3. the intelligent wheel chair according to claim 1 with health monitoring systems, it is characterised in that the processing module is
One single-chip microcomputer, the pulse detection module is an optical fiber type pulse inductor.
4. the intelligent wheel chair according to claim 1 with health monitoring systems, it is characterised in that the blood pressure heart rate inspection
Survey module and include pressure sensor, servo pressurization air pump, Electronic Control air bleeding valve, the pressure sensor is installed on wheelchair main body
In arm band on the chair back, the servo pressurization air pump and Electronic Control air bleeding valve assembly are in the wheelchair main body chair back, the pressure
Sensor, servo pressurization air pump, Electronic Control air bleeding valve are connected with processing module.
5. the intelligent wheel chair according to claim 1 with health monitoring systems, it is characterised in that the handle upper surface
Circular arc bar wrist external member provided with a upper opening, the wrist external member bottom outside is connected with handle, the wrist external member
Bottom inside is provided with the pulse detection module, and the opening is passed in and out for wrist, and the wrist external member top is provided with warning light, institute
State indicator lamp flicker during pulse detection module detection.
6. the intelligent wheel chair according to claim 5 with health monitoring systems, it is characterised in that the temperature check mould
Block has two, and one is connected with the chair back of wheelchair main body, and another is located at the wrist external member bottom inside.
7. the intelligent wheel chair according to claim 6 with health monitoring systems, it is characterised in that the temperature check mould
Block includes temperature sensor, integrated circuit, and the temperature sensor is connected by integrated circuit with the processing module.
8. the intelligent wheel chair according to claim 6 with health monitoring systems, it is characterised in that the intelligent wheel chair is also
Comprising heater, the heater is connected with processing module, when the detection difference of two temperature check modules exceedes
During preset range, the heater is controlled to start by processing module.
9. the intelligent wheel chair according to claim 1 with health monitoring systems, it is characterised in that the print module bag
Printer, paper storing box are included, the data of acquisition and analysis illness result are sent to printer by processing module at the end of detection, beaten
Print off result.
10. the intelligent wheel chair according to claim 1 with health monitoring systems, it is characterised in that also comprising user terminal,
The user terminal is connected by transport module with the processing module, Monitoring Data and analysis for receiving processing module acquisition
Obtained illness result.
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| CN201710221113.8A CN106963568A (en) | 2017-04-06 | 2017-04-06 | Intelligent wheel chair with health monitoring systems |
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| CN201710221113.8A CN106963568A (en) | 2017-04-06 | 2017-04-06 | Intelligent wheel chair with health monitoring systems |
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| CN201710221113.8A Pending CN106963568A (en) | 2017-04-06 | 2017-04-06 | Intelligent wheel chair with health monitoring systems |
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