CN110090119A - A kind of comatose patient nursing wisdom hospital bed based on big data technology - Google Patents
A kind of comatose patient nursing wisdom hospital bed based on big data technology Download PDFInfo
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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
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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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
- A61B5/6891—Furniture
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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
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
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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
- A61G7/00—Beds specially adapted for nursing; Devices for lifting patients or disabled persons
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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
- A61G7/00—Beds specially adapted for nursing; Devices for lifting patients or disabled persons
- A61G7/05—Parts, details or accessories of beds
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES 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
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES 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
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M2021/0005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
- A61M2021/0027—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus by the hearing sense
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES 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
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M2021/0005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
- A61M2021/0044—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus by the sight sense
- A61M2021/005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus by the sight sense images, e.g. video
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Abstract
The application belongs to technical field of medical equipment, and in particular to a kind of comatose patient nursing wisdom hospital bed based on big data technology.It includes hospital bed ontology, central processing unit, memory, reminiscence training system, vital sign detection system and mood monitoring system.Comatose patient provided by the present application based on big data technology nurses wisdom hospital bed, not only have feature-rich, convenient and practical and can promote the comatose patient revival technical advantages such as rehabilitation to the greatest extent, also have many advantages, such as to be not easy to fail to judge or judge by accident the unstable sign of vital sign or restores consciousness sign and can be realized by certain algorithm to whether patient mood or behavior carry out accurate judgement extremely, to maximumlly ensure the general level of the health of the people.
Description
Technical field
The invention belongs to technical field of medical equipment, and in particular to a kind of comatose patient nursing intelligence based on big data technology
Intelligent hospital bed.
Background technique
It is existing it is nursing hospital bed generally only have the function of cure by oxygen therapy and monitoring infusion, be not able to satisfy and meet the people to health
Needs.
Summary of the invention
In view of the above-mentioned problems, this application provides a kind of, the comatose patient based on big data technology nurses wisdom hospital bed, with
Solve the technical problems existing in the prior art.
The present invention is the solution for solving its technical problem and providing are as follows:
A kind of comatose patient nursing wisdom hospital bed based on big data technology, including nursing hospital bed ontology, which is characterized in that
Further include: central processing unit, for completing data analysis function and system control function;Memory is built-in with big health data
Library, big Health database include vital sign data library and expression data library;Reminiscence training system, configured with network connection
Device, multi-media display device and audio draw off gear, for stimulating patient by multimedia content and/or long-range content of visiting
Memory point carry out wake-up training;Vital sign detection system is configured with ECG detecting data access port and imaging system number
It according to access interface, is monitored in real time for the vital sign data to patient, and will test result deposit vital sign data
Library;Vital sign data analysis module, for carrying out data analysis to the vital sign data in vital sign data library, with reality
When monitoring vital sign unstable sign or have restore realize sign;Mood monitoring system is configured with photographic device, takes the photograph
Facial expression as device for real-time capture revival patient, and will test result deposit expression data library;Expression data analysis
Module, for carrying out data analysis to the expression data stored in expression data library, whether the spirit to determine patient is abnormal.
Preferably, in the comatose patient nursing wisdom hospital bed based on big data technology, big Health database further includes limb
Body language database;Mood monitoring system is also used to the limb action of real-time capture revival patient, and will test result deposit limb
Body language database;The comatose patient nursing wisdom hospital bed based on big data technology further includes body language analysis module, is used
In carrying out data analysis to the body language data in body language database, whether the behavior to determine patient is abnormal.
Preferably, in the comatose patient nursing wisdom hospital bed based on big data technology, body language analysis module is used
Following algorithm judges whether the behavior of patient is abnormal: judging whether all limbs characterization parameter Zi meet arm's length standard one by one, is
Then it is stored in limbs characterization recording parameters ZFLAG;Judge that limbs normally characterize whether to protrude, is that behavior of regarding as is normal, otherwise
Regard as abnormal behavior.
Preferably, in the comatose patient nursing wisdom hospital bed based on big data technology, it is nursing hospital bed on be also configured with and control
Treat band device.
Preferably, based on big data technology comatose patient nursing wisdom hospital bed in, it is nursing hospital bed on be also configured with by
Rub mattress.
Preferably, based on big data technology comatose patient nursing wisdom hospital bed in, it is nursing hospital bed on be also configured with it is defeated
Oxygen system, oxygen enriching system is for providing oxygen therapy care.
Preferably, based on big data technology comatose patient nursing wisdom hospital bed in, it is nursing hospital bed on be also configured with it is defeated
Liquid system, transfusion system is for providing transfusion nursing service.
Preferably, in the comatose patient nursing wisdom hospital bed based on big data technology, vital sign data analysis module
The judgement of the unstable sign of vital sign is carried out using following algorithm: S1 continuously detects three groups of electrocardio sign datas;S2 judgement is appointed
Whether one group of electrocardio sign data is abnormal, is that regard as vital sign unstable, otherwise enters S3;S3 continuously detects three groups and surpasses
Sound sign data;S4 judges whether any group of ultrasound sign data be abnormal, is that regard as vital sign unstable, otherwise enters
S5;S5 continuously detects three groups of electrocardio sign datas;S6 judges whether three groups of electrocardio sign datas are normal, is then to enter S7, no
Then return to S1;S7 continuously detects three groups of ultrasound sign datas;S8 judges whether three groups of ultrasound sign datas are normal, are to assert
For vital signs stable, S3 is otherwise returned.
Preferably, in the comatose patient nursing wisdom hospital bed based on big data technology, vital sign data analysis module
Realize that vital sign restores the judgement of consciousness sign using following algorithm: P1 calculates vital sign health degree parameter D1, D1 etc.
In the dispersion degree of selected average value relative standard parameter C0 of the vital sign parameter in period T1;It is strong that P2 calculates vital sign
Health extent index D2, D2 are equal to the discrete journey of selected average value relative standard parameter C0 of the vital sign parameter in period T2
Degree;P3 calculates vital sign health degree parameter D3, and it is opposite that D3 is equal to selected average value of the vital sign parameter in period T3
The dispersion degree of standard parameter C0;P4 calculates rehabilitation factor Ⅴ H and judges whether VH has the trend shunk to zero degree, is to sentence
It is set to refresh memory sign, otherwise returns to P1 step.Wherein T1, T2 and T3 are three continuous periods, and VH is life entity
Levy variation tendency of the health degree parameter Di on period T1, T2 and T3, the derived function of code or numerically equal to Di to the time.
Preferably, in the comatose patient nursing wisdom hospital bed based on big data technology, expression data analysis module is used
Following algorithm determines whether the spirit of patient is abnormal: judging whether all face characterization parameter Mi meet arm's length standard one by one, is
Then it is stored in face characterization recording parameters MFLAG;Judge whether facial normal characterization protrudes, be that regard as the state of mind normal,
Otherwise abnormal mental state is regarded as.
The application beneficial technical effect compared with prior art:
Comatose patient nursing wisdom hospital bed provided by the present application based on big data technology can not only provide intelligent transfusion
And oxygen therapy care, it is regularly patient's dredging the channel, can also is by multimedia device by medical staff or relatives
The video/audio for the stimulation memory point that patient's program request current events and important news and social software are transferred or the long-range spy of family members kith and kin
Depending on visiting the multimedia content such as video/audio.On the other hand, wisdom hospital bed passes through electrocardiogram, the non-invasive monitoring of ultrasonic image-forming system
The compatible connection of equipment obtains the real time monitoring of the vital signs such as the heart, brain, and data take in unified point of wisdom hospital health big data
Analysis management, once there is the unstable sign of vital sign or there is the sign for restoring to realize to start alarm system or medical care people at once
Member's calling system.For revival patient pass through intelligent hospital bed camera head monitor capture revival patient facial expression and micro- table
Feelings data analysis, so that whether the mood monitored after its recovery is stable, particularly with the mood after brain injury coma patient revival
It needs to do and timely monitor, monitor whether because big brain organic lesion ribbon carrys out the exception of spiritual aspect.
Below in conjunction with specification drawings and specific embodiments, technical solution of the present invention and technical effect are carried out clear
Chu is fully described by.
Detailed description of the invention
Fig. 1: the application nurses wisdom hospital bed functional module structure schematic diagram based on the comatose patient of big data technology.
Fig. 2: the vital signs stable used in vital sign data analysis module judges algorithm.
Fig. 3: the restorative judgement algorithm of the vital sign used in vital sign data analysis module.
Fig. 4: the state of mind used in expression data analysis module judges algorithm.
Fig. 5: the behavior state used in body language analysis module judges algorithm.
Specific embodiment
Fig. 1-Fig. 5 is please referred to, the comatose patient provided by the present application based on big data technology nurses wisdom hospital bed, including shield
Manage hospital bed ontology, central processing unit, memory, reminiscence training system, vital sign detection system and mood monitoring system
System.
Central processing unit is electrically connected to memory, nurses intelligence for completing the comatose patient based on big data technology
The data analysis function and system control function of intelligent hospital bed.
Memory, is built-in with big Health database, big Health database include vital sign data library, expression data library and
Body language database.
Reminiscence training system is configured with network connection device, multi-media display device and audio draw off gear, is used for
The memory point of patient is stimulated to carry out wake-up training by multimedia content and/or long-range content of visiting.Such as it can be by medical care people
It is patient's program request current events and important news or the video sound for passing through social software transfer that member or relatives, which pass through reminiscence training system,
The multimedia content such as frequency or the long-range of family members kith and kin visit the multimedia content such as video/audio, stimulate the memory of patient
Point carries out wake-up training.
Vital sign detection system is configured with ECG detecting data access port and imaging system data access port, uses
It is monitored in real time in the vital sign data to patient, and will test result deposit vital sign data library.For example it can lead to
The compatibility for crossing the non-invasive monitoring equipment of electrocardiogram, ultrasonic image-forming system connects and obtains the real time monitoring of the vital signs such as the heart, brain
Data.
Mood monitoring system is configured with photographic device, facial expression and revival patient for real-time capture revival patient
Limb action, and will test result and be stored in expression data library and body language database respectively.
Vital sign data analysis module, expression data analysis module and body language analysis mould are additionally provided in memory
Block.Vital sign data analysis module, for carrying out data analysis to the vital sign data in vital sign data library, with reality
When monitoring vital sign unstable sign or have restore realize sign;Expression data analysis module, for expression number
Data analysis is carried out according to the expression data stored in library, whether the spirit to determine patient is abnormal;Body language analysis module is used
In carrying out data analysis to the body language data in body language database, whether the behavior to determine patient is abnormal.
To further increase the practicability that the comatose patient based on big data technology nurses wisdom hospital bed, in others
In embodiment, can also treatment zone device, massage mattress, oxygen enriching system be set on nursing hospital bed ontology and included in transfusion system
Institute it is functional or any combination thereof.
Referring to Fig. 2, in the comatose patient nursing wisdom hospital bed provided by the present application based on big data technology, life entity
Levy the judgement that data analysis module carries out the unstable sign of vital sign using following algorithm:
S1 continuously detects three groups of electrocardio sign datas;
S2 judges whether any group of electrocardio sign data be abnormal, is that regard as vital sign unstable, otherwise enters
S3;
S3 continuously detects three groups of ultrasound sign datas;
S4 judges whether any group of ultrasound sign data be abnormal, is that regard as vital sign unstable, otherwise enters
S5;
S5 continuously detects three groups of electrocardio sign datas;
S6 judges whether three groups of electrocardio sign datas are normal, are then to enter S7, otherwise return to S1;
S7 continuously detects three groups of ultrasound sign datas;
S8 judges whether three groups of ultrasound sign datas are normal, are to regard as vital signs stable, otherwise return to S3.
Referring to Fig. 3, in the comatose patient nursing wisdom hospital bed provided by the present application based on big data technology, vital sign
Data analysis module uses following algorithm realization to judge (with pulse Ci as selected life entity vital sign recovery consciousness sign
For sign parameter):
P1, calculates vital sign health degree parameter D1, and D1 is equal to selected vital sign parameter being averaged in period T1
It is worth the dispersion degree of relative standard's parameter C0 (normal parameter of Healthy People), code such as D1=abs (1-C1i/C0);
P2, calculates vital sign health degree parameter D2, and D2 is equal to selected vital sign parameter being averaged in period T2
It is worth the dispersion degree of relative standard's parameter C0 (normal parameter of Healthy People), code such as D2=abs (1-C2i/C0);
P3, calculates vital sign health degree parameter D3, and D3 is equal to selected vital sign parameter being averaged in period T3
It is worth the dispersion degree of relative standard's parameter C0 (normal parameter of Healthy People), code such as D3=abs (1-C3i/C0);
P4 calculates rehabilitation factor Ⅴ H and judges whether Di has the trend shunk to zero degree, is to be judged to having restoring
Remember sign, otherwise returns to P1 step.Wherein T1, T2 and T3 are three continuous periods, and VH is vital sign health degree ginseng
Variation tendency of the number Di on period T1, T2 and T3, the derived function of code or numerically equal to Di to the time.
Referring to Fig. 4, in the comatose patient nursing wisdom hospital bed provided by the present application based on big data technology, expression data
Analysis module determines whether the spirit of patient is abnormal using following algorithm:
Judge whether all face characterization parameter Mi meet arm's length standard one by one, is to be stored in face characterization recording parameters
MFLAG;Face characterization parameter may include eye expression, corners of the mouth expression, forehead expression etc.;
Judge whether facial normal characterization protrudes, is that regard as the state of mind normal, it is different otherwise to regard as the state of mind
Often;Face can be determined by judging the size of face characterization recording parameters MFLAG or account for the percentage of all face characterization parameters
Portion normally characterizes whether protrude.
Referring to Fig. 5, in the comatose patient nursing wisdom hospital bed provided by the present application based on big data technology, body language
Analysis module judges whether the behavior of patient is abnormal using following algorithm:
Judge whether all limbs characterization parameter Zi meet arm's length standard one by one, is to be stored in limbs characterization recording parameters
ZFLAG;Limbs characterization parameter may include headwork, leg action and waist movement etc.;
Judge that limbs normally characterize whether to protrude, is that behavior of regarding as is normal, otherwise regards as abnormal behavior;It can lead to
The percentage crossed the size for judging limbs characterization recording parameters ZFLAG or account for all limbs characterization parameters determines that limbs normally characterize
Whether protrude.
Comatose patient nursing wisdom hospital bed provided by the present application based on big data technology can not only provide intelligent transfusion
And oxygen therapy care, it is regularly patient's dredging the channel, can also is by multimedia device by medical staff or relatives
The video/audio for the stimulation memory point that patient's program request current events and important news and social software are transferred or the long-range spy of family members kith and kin
Depending on visiting the multimedia content such as video/audio.On the other hand, wisdom hospital bed passes through electrocardiogram, the non-invasive monitoring of ultrasonic image-forming system
The compatible connection of equipment obtains the real time monitoring of the vital signs such as the heart, brain, and data take in unified point of wisdom hospital health big data
Analysis management, once there is the unstable sign of vital sign or there is the sign for restoring to realize to start alarm system or medical care people at once
Member's calling system.For revival patient pass through intelligent hospital bed camera head monitor capture revival patient facial expression and micro- table
Feelings data analysis, so that whether the mood monitored after its recovery is stable, particularly with the mood after brain injury coma patient revival
It needs to do and timely monitor, monitor whether because big brain organic lesion ribbon carrys out the exception of spiritual aspect.
As seen from the above description, the comatose patient provided by the present application based on big data technology nurses wisdom hospital bed, not only
With feature-rich, easy to use and the comatose patient revival technical advantages such as rehabilitation can be promoted to the greatest extent, also have
It is not easy to fail to judge or judge by accident the unstable sign of vital sign or restores consciousness sign and the mood or behavior to patient may be implemented
The advantages of whether exception carries out accurate judgement, to maximumlly ensure the general level of the health of the people.
Figure of description is combined to elaborate preferred embodiment of the present application above, it should explanation, this
The protection scope of application includes but is not limited to above-described embodiment;Specific structure disclosed in Figure of description is also the application
Preferred embodiment;The technical staff in the field can also develop other embodiments on this basis, any not depart from this hair
The simple deformation or equivalent replacement of bright innovative idea, are covered by the application, belong to the protection scope of the application.
Claims (10)
1. a kind of comatose patient based on big data technology nurses wisdom hospital bed, including nursing hospital bed ontology, which is characterized in that should
Comatose patient based on big data technology nurses wisdom hospital bed further include:
Central processing unit, for complete this based on big data technology comatose patient nursing wisdom hospital bed data analysis function and
System control function;
Memory, is built-in with big Health database, and the big Health database includes vital sign data library and expression data library;
Reminiscence training system is configured with network connection device, multi-media display device and audio draw off gear, for passing through
Multimedia content and/or the long-range memory point for visiting content stimulation patient carry out wake-up training;
Vital sign detection system, be configured with ECG detecting data access port and imaging system data access port, for pair
The vital sign data of patient monitors in real time, and will test result deposit vital sign data library;
Vital sign data analysis module, for carrying out data point to the vital sign data in the vital sign data library
Analysis, to monitor the unstable sign of vital sign in real time or have the sign for restoring to realize;
Mood monitoring system is configured with photographic device, and the photographic device is used for the facial expression of real-time capture revival patient, and
It will test result deposit expression data library;
Expression data analysis module, for carrying out data analysis to the expression data stored in the expression data library, with determination
Whether the spirit of patient is abnormal.
2. the comatose patient according to claim 1 based on big data technology nurses wisdom hospital bed, it is characterised in that:
The big Health database further includes body language database;
The mood monitoring system is also used to the limb action of real-time capture revival patient, and will test result and be stored in the limbs
Language database;
The comatose patient nursing wisdom hospital bed based on big data technology further includes body language analysis module, for the limb
Body language data in body language database carry out data analysis, and whether the behavior to determine patient is abnormal.
3. the comatose patient according to claim 2 based on big data technology nurses wisdom hospital bed, which is characterized in that described
Body language analysis module judges whether the behavior of patient is abnormal using following algorithm:
Judge whether all limbs characterization parameters meet arm's length standard one by one, is to be stored in limbs characterization recording parameters;
Judge that limbs normally characterize whether to protrude, is that behavior of regarding as is normal, otherwise regards as abnormal behavior.
4. the comatose patient according to claim 1 based on big data technology nurses wisdom hospital bed, it is characterised in that: the base
Treatment zone device is also configured in the comatose patient nursing wisdom hospital bed of big data technology.
5. the comatose patient according to claim 1 based on big data technology nurses wisdom hospital bed, it is characterised in that: the base
Massage mattress is also configured in the comatose patient nursing wisdom hospital bed of big data technology.
6. the comatose patient according to claim 1 based on big data technology nurses wisdom hospital bed, it is characterised in that: the base
It further include oxygen enriching system in the comatose patient nursing wisdom hospital bed of big data technology, the oxygen enriching system is for providing oxygen therapy nursing
Service.
7. the comatose patient according to claim 1 based on big data technology nurses wisdom hospital bed, it is characterised in that: the base
It further include transfusion system in the comatose patient nursing wisdom hospital bed of big data technology, the transfusion system is for providing transfusion nursing
Service.
8. the comatose patient nursing wisdom disease described in any one of -7 claims based on big data technology according to claim 1
Bed, which is characterized in that the vital sign data analysis module carries out sentencing for the unstable sign of vital sign using following algorithm
It is disconnected:
S1 continuously detects three groups of electrocardio sign datas;
S2 judges whether any group of electrocardio sign data be abnormal, is that regard as vital sign unstable, otherwise enters S3;
S3 continuously detects three groups of ultrasound sign datas;
S4 judges whether any group of ultrasound sign data be abnormal, is that regard as vital sign unstable, otherwise enters S5;
S5 continuously detects three groups of electrocardio sign datas;
S6 judges whether three groups of electrocardio sign datas are normal, are then to enter S7, otherwise return to S1;
S7 continuously detects three groups of ultrasound sign datas;
S8 judges whether three groups of ultrasound sign datas are normal, are to regard as vital signs stable, otherwise return to S3.
9. the comatose patient nursing wisdom disease described in any one of -7 claims based on big data technology according to claim 1
Bed, which is characterized in that the vital sign data analysis module realizes that vital sign restores consciousness sign using following algorithm
Judgement:
P1, calculates vital sign health degree parameter D1, and D1 is equal to selected average value phase of the vital sign parameter in period T1
To the dispersion degree of standard parameter;
P2, calculates vital sign health degree parameter D2, and D2 is equal to selected average value phase of the vital sign parameter in period T2
To the dispersion degree of standard parameter;
P3, calculates vital sign health degree parameter D3, and D3 is equal to selected average value phase of the vital sign parameter in period T3
To the dispersion degree of standard parameter;
P4 calculates the rehabilitation factor and judges whether the rehabilitation factor has the trend shunk to zero degree, is to be judged to having restoring
Remember sign, otherwise returns to P1 step.Wherein T1, T2 and T3 are three continuous periods, and the rehabilitation factor is vital sign health
Variation tendency of the extent index Di on period T1, T2 and T3.
10. the comatose patient described in any one of -7 claims based on big data technology nurses wisdom according to claim 1
Hospital bed, which is characterized in that the expression data analysis module determines whether the spirit of patient is abnormal using following algorithm:
Judge whether all face characterization parameters meet arm's length standard one by one, is to be stored in face characterization recording parameters;
Judge whether facial normal characterization protrudes, is that regard as the state of mind normal, otherwise regards as abnormal mental state.
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CN112712876A (en) * | 2019-10-24 | 2021-04-27 | 西科姆医疗系统株式会社 | Image recording system, image recording method, and image recording program |
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