CN113288087B - Virtual-real linkage experimental system based on physiological signals - Google Patents
Virtual-real linkage experimental system based on physiological signals Download PDFInfo
- Publication number
- CN113288087B CN113288087B CN202110708284.XA CN202110708284A CN113288087B CN 113288087 B CN113288087 B CN 113288087B CN 202110708284 A CN202110708284 A CN 202110708284A CN 113288087 B CN113288087 B CN 113288087B
- Authority
- CN
- China
- Prior art keywords
- physiological
- virtual
- subject
- model
- human
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0062—Arrangements for scanning
- A61B5/0064—Body surface scanning
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0077—Devices for viewing the surface of the body, e.g. camera, magnifying lens
-
- 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
-
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/087—Measuring breath flow
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1072—Measuring physical dimensions, e.g. size of the entire body or parts thereof measuring distances on the body, e.g. measuring length, height or thickness
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1075—Measuring physical dimensions, e.g. size of the entire body or parts thereof for measuring dimensions by non-invasive methods, e.g. for determining thickness of tissue layer
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/44—Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
- A61B5/441—Skin evaluation, e.g. for skin disorder diagnosis
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4866—Evaluating metabolism
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B7/00—Instruments for auscultation
- A61B7/02—Stethoscopes
- A61B7/04—Electric stethoscopes
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B22/00—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
- A63B22/06—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with support elements performing a rotating cycling movement, i.e. a closed path movement
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B23/00—Models for scientific, medical, or mathematical purposes, e.g. full-sized devices for demonstration purposes
- G09B23/28—Models for scientific, medical, or mathematical purposes, e.g. full-sized devices for demonstration purposes for medicine
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B22/00—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
- A63B22/06—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with support elements performing a rotating cycling movement, i.e. a closed path movement
- A63B22/0605—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with support elements performing a rotating cycling movement, i.e. a closed path movement performing a circular movement, e.g. ergometers
- A63B2022/0635—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with support elements performing a rotating cycling movement, i.e. a closed path movement performing a circular movement, e.g. ergometers specially adapted for a particular use
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Heart & Thoracic Surgery (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Biomedical Technology (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Pathology (AREA)
- Biophysics (AREA)
- Cardiology (AREA)
- Physiology (AREA)
- Pulmonology (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Dentistry (AREA)
- Acoustics & Sound (AREA)
- Vascular Medicine (AREA)
- General Physics & Mathematics (AREA)
- Computational Mathematics (AREA)
- Mathematical Physics (AREA)
- Chemical & Material Sciences (AREA)
- Medicinal Chemistry (AREA)
- Algebra (AREA)
- Dermatology (AREA)
- Obesity (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Physical Education & Sports Medicine (AREA)
- Pure & Applied Mathematics (AREA)
- Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- Theoretical Computer Science (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
Abstract
The invention discloses a virtual-real linkage experiment system based on physiological signals, which comprises: the physiological parameter acquisition module is used for acquiring and sending physiological parameters of the testee; the model building module is used for generating a virtual physiological human model; and the control module is used for receiving the physiological parameters sent by the physiological parameter acquisition module and inputting the physiological parameters into the virtual physiological human model, and the virtual physiological human model executes corresponding operation according to the physiological parameters. The invention simulates and displays various detected physiological parameters of the testee through the virtual physiological human model, enhances the participation sense of students through virtual-real linkage, can fully mobilize the interest of experiment exploration of the students, and can help to complete various experiment designs or scientific research tasks.
Description
Technical Field
The invention relates to a virtual-real linkage experiment system based on physiological signals.
Background
The traditional human body physiological experiment system is characterized in that a sensor directly detects physiological signals on the surface of a human body, waveform data are analyzed, corresponding experiment subjects are completed, and the traditional human body physiological experiment system is relatively abstract and is not convenient for students to understand.
Disclosure of Invention
The invention aims to overcome one or more defects in the prior art and provides a virtual-real linkage experiment system based on physiological signals.
The purpose of the invention is realized by the following technical scheme: a kind of fictitious and real linkage experimental system based on physiological signal, including:
the physiological parameter acquisition module is used for acquiring and sending physiological parameters of the testee;
the model building module is used for generating a virtual physiological human model;
and the control module is used for receiving the physiological parameters sent by the physiological parameter acquisition module and inputting the physiological parameters into the virtual physiological human model, and the virtual physiological human model executes corresponding operation according to the physiological parameters.
Preferably, the physical and virtual linkage experiment system based on physiological signals further comprises:
the interaction module is used for a user to input physiological parameters and send the physiological parameters to the control module;
the control module receives the physiological parameters sent by the interaction module and inputs the physiological parameters into the virtual physiological human model, and the virtual physiological human model executes corresponding operations according to the physiological parameters.
Preferably, the physiological parameter acquisition module comprises one or more of the following devices:
a respiratory flow sensor for detecting respiratory data of a subject;
a metabolic meter for detecting metabolic data of a subject;
the electrocardio sensor is used for detecting electrocardio data of a subject;
a heart sound transducer for detecting heart sound data of a subject;
a continuous blood pressure meter for detecting real-time blood pressure data of a subject.
Preferably, the physiological parameter acquisition module further comprises:
the spinning is used for collecting the riding speed, pedal angle, resistance, power and heart rate of a subject.
Preferably, the process of generating the virtual physiological human model by the model construction module comprises:
setting a corresponding relation between human body basic data and a virtual physiological human model, wherein the human body basic data comprises sex, age, height and weight;
acquiring human body basic data of the subject;
and generating a corresponding virtual physiological human model according to the human body basic data of the subject.
Preferably, the method for acquiring the age comprises the following steps:
acquiring a frontal face image of a subject;
extracting characteristic values of skin texture, skin color, brightness degree and wrinkle texture in the front face image;
and analyzing the characteristic values of the skin texture, the skin color, the brightness and the wrinkle texture to obtain the age of the subject.
Preferably, the method for acquiring gender comprises the following steps:
acquiring a frontal face image of a subject;
extracting characteristic values of skin texture, skin color, brightness degree and wrinkle texture in the front face image;
and obtaining the gender of the subject by using a secondary mode classifier according to the skin texture, the skin color, the brightness and the characteristic value of the wrinkle texture.
Preferably, the height obtaining method includes:
acquiring an image of a subject;
calculating the initial height according to the position of the subject and the position of the image acquisition equipment;
detecting a hair height of the subject from the subject image;
and subtracting the hair height from the initial height to obtain the final height.
Preferably, generating a corresponding virtual physiological human model according to the human body basic data of the subject comprises:
selecting a corresponding virtual physiological human model according to the age and the sex of the subject;
calculating the body surface area of the subject according to the height and the weight of the subject;
comparing the body surface area of the subject with a default body surface area of a virtual physiological human model to obtain a scaling factor;
correcting the structural parameters of each organ tissue of the virtual physiological human model according to the scaling times, wherein the structural parameters comprise one or more of the lumen resistance, the compliance, the volume, the myocardial contractility and the respiratory muscle contractility of each blood vessel and each trachea structure;
predicting the basal metabolic rate by a Harris and Benedict formula according to the height, the weight, the age and the sex;
and calculating the metabolic quantity of each organ tissue according to the basic metabolic rate and the structural parameters of each organ tissue of the virtual physiological human model.
Preferably, the virtual physiological human model performs corresponding operations according to the physiological parameters, including:
according to the physiological parameters received by the control module, the metabolic quantity and the structural parameters of the virtual physiological human model, the preset physiological indexes are calculated in real time through a mathematical simulation formula of a physiological mechanism;
and controlling an organ animation model and a waveform of the virtual human model according to the physiological indexes, and controlling the posture state of the virtual human.
The invention has the beneficial effects that:
(1) the invention carries out simulation display on various detected physiological parameters of the subject through the virtual physiological human model, enhances the participation sense of students through virtual-real linkage, can fully mobilize the interest of experiment exploration of the students, and can help to complete various experiment designs or scientific research tasks;
(2) according to the method, the corresponding virtual physiological human model is generated according to the human body basic data of the testee, so that the matching degree of the virtual physiological human model and the testee is improved, and the simulation accuracy is improved;
(3) the height detection does not need a professional detection tool, and only needs to acquire the image of the subject, so that the method is very convenient and fast;
(4) according to the invention, data such as the age, the sex and the like of the testee can be simultaneously acquired through the image of the testee, manual input is not required, and the automatic acquisition of the human body basic data of the testee is realized.
Drawings
FIG. 1 is a block diagram of a physical signal-based virtual-real linkage experimental system;
FIG. 2 is a flow chart of the model building module generating a virtual physiological person model;
FIG. 3 is a flow chart of generating a corresponding virtual human physiological model from human body basic data.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
Referring to fig. 1-3, the present embodiment provides a virtual-real linkage experimental system based on physiological signals:
as shown in fig. 1, a virtual-real linkage experiment system based on physiological signals includes a physiological parameter acquisition module, a model construction module and a control module.
The physiological parameter acquisition module is used for acquiring and transmitting the physiological parameters of the testee. Typically, the physiological parameter includes one or more of respiratory data, metabolic data, electrocardiographic data, heart sound data, blood pressure data, and the like.
Specifically, the physiological parameter acquisition module comprises one or more of a respiratory flow sensor, a metabolic apparatus, an electrocardio sensor, a heart sound transducer and a continuous blood pressure measuring instrument (dynamic blood pressure monitor). The respiratory flow sensor is used for detecting respiratory data of a subject; the metabolizer is used for detecting metabolic data of the subject; the electrocardio sensor is used for detecting electrocardio data of a subject; the heart sound transducer is used for detecting heart sound data of a subject; the continuous blood pressure measuring instrument is used for detecting real-time blood pressure data of a subject.
In some embodiments, the physiological parameter acquisition module further comprises a spinning bike for acquiring the riding speed, pedal angle, resistance, power and heart rate of the subject. Namely, the change of the physiological parameters in the riding process of the subject can be simulated.
The model building module is used for generating a virtual physiological human model. Generally, the virtual physiological human model has a complete cardiovascular system, a respiratory system, an energy metabolism and a nerve regulation mechanism, and can simulate more than 300 physiological indexes at the same time; the adjustment of parameters relates to various processes of physiological mechanisms, including the thickness of blood vessels/trachea, elasticity, contractility of heart, conductivity of nerve fibers and the like, and more than 150 items; the 3D animation in the virtual physiological person is controlled by various indexes deduced by a mathematical model, such as the amplitude and the frequency of heart pulsation, the thickness and the color of artery and vein vessels in each organ, the breathing depth and the rhythm of the lung and the like are simulated in a real-time linkage manner; the virtual physiological human body not only carries out deduction simulation according to the actually measured data, but also synchronizes the state of the virtual human body according to the motion data of the motion bicycle.
The control module is used for receiving the physiological parameters sent by the physiological parameter acquisition module and inputting the physiological parameters into the virtual physiological human model, and the virtual physiological human model executes corresponding operations according to the physiological parameters.
In some embodiments, the virtual physiological human model performs a corresponding operation according to the physiological parameter, including: according to the physiological parameters received by the control module, the metabolic capacity and the structural parameters of the virtual physiological human model, a preset physiological index is calculated in real time through a mathematical simulation formula of a physiological mechanism; and controlling an organ animation model and a waveform of the virtual human physiology model and the posture state of the virtual human according to the physiological indexes, thereby realizing the effect of virtual-real linkage.
In some embodiments, the physical and virtual linkage experiment system based on physiological signals further comprises an interaction module, wherein the interaction module is used for a user to input physiological parameters and send the physiological parameters to the control module; the control module receives the physiological parameters sent by the interaction module and inputs the physiological parameters into the virtual physiological human model, and the virtual physiological human model executes corresponding operations according to the physiological parameters. Namely, the state of the virtual physiological human model can be controlled according to the physiological parameters acquired by the physiological parameter acquisition module, and can also be controlled according to the physiological parameters input by the user, so that the demonstration requirements under various conditions can be met.
In some embodiments, as shown in fig. 2, the process of the model building module generating the virtual physiological person model comprises:
s1, setting a corresponding relation between human body basic data and a virtual physiological human model, wherein the human body basic data comprises sex, age, height and weight.
And S2, acquiring human body basic data of the testee.
Specifically, the method for acquiring the age comprises the following steps: acquiring a frontal face image of a subject; extracting characteristic values of skin texture, skin color, brightness degree and wrinkle texture in the front face image; and analyzing the characteristic values of the skin texture, the skin color, the brightness and the wrinkle texture to obtain the age of the subject.
The gender obtaining method comprises the following steps: acquiring a frontal face image of a subject; extracting characteristic values of skin texture, skin color, brightness degree and wrinkle texture in the front face image; and obtaining the gender of the subject by using a secondary mode classifier according to the skin texture, the skin color, the brightness and the characteristic value of the wrinkle texture.
The height obtaining method comprises the following steps: acquiring an image of a subject; calculating the initial height according to the position of the subject and the position of the image acquisition equipment; detecting a hair height of the subject from the subject image; and subtracting the hair height from the initial height to obtain the final height. In some embodiments, the height obtaining method further comprises: detecting the posture of the subject, and correcting the detected height according to the posture of the subject.
In the embodiments, the data such as the height of the testee can be obtained through the image of the testee, and professional detection equipment is not needed, so that the method is very convenient and fast; meanwhile, data such as gender and age of the testee can be obtained based on the image of the testee, manual entry is not needed, automatic acquisition of related data information is achieved, and workload of a user is reduced.
And S3, generating a corresponding virtual physiological human model according to the human body basic data of the subject.
According to the embodiments, the corresponding virtual physiological human model is generated according to the human body basic data of the subject, so that the matching degree of the virtual physiological human model and the subject is improved, and the change condition of the related system in the subject can be simulated more accurately.
In some embodiments, as shown in fig. 3, generating a corresponding virtual physiological human model from the human body basic data of the subject includes:
s31, selecting a corresponding virtual physiological human model according to the age and the sex of the subject.
S32, calculating the body surface area of the subject according to the height and the weight of the subject.
And S33, comparing the body surface area of the subject with the default body surface area of the virtual physiological human model to obtain a scaling multiple.
And S34, correcting the structural parameters of each organ tissue of the virtual physiological human model according to the scaling factor, wherein the structural parameters comprise one or more of the lumen resistance, the compliance, the volume, the myocardial contractility and the respiratory muscle contractility of each blood vessel and each trachea structure.
S35, predicting the basal metabolic rate according to the height, the weight, the age and the sex by a Harris and Benedict formula (Harris-Benedict formula).
And S36, calculating the metabolic quantity of each organ tissue according to the basic metabolic rate and the structural parameters of each organ tissue of the virtual physiological human model.
In the embodiments, the corresponding virtual physiological human model is generated according to the human body basic data of the subject, so that the matching degree of the virtual physiological human model and the subject is improved, and the simulation accuracy is improved.
The foregoing is illustrative of the preferred embodiments of this invention, and it is to be understood that the invention is not limited to the precise form disclosed herein and that various other combinations, modifications, and environments may be resorted to, falling within the scope of the concept as disclosed herein, either as described above or as apparent to those skilled in the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (8)
1. A virtual-real linkage experiment system based on physiological signals is characterized by comprising:
the physiological parameter acquisition module is used for acquiring and sending out physiological parameters of the testee;
the model building module is used for generating a virtual physiological human model;
the control module is used for receiving the physiological parameters sent by the physiological parameter acquisition module and inputting the physiological parameters into the virtual physiological human model, and the virtual physiological human model executes corresponding operation according to the physiological parameters;
the process of generating the virtual physiological person model by the model building module comprises the following steps:
setting a corresponding relation between human body basic data and a virtual physiological human model, wherein the human body basic data comprises sex, age, height and weight;
acquiring human body basic data of the subject;
generating a corresponding virtual physiological human model according to the human body basic data of the subject;
generating a corresponding virtual physiological human model according to the human body basic data of the subject, comprising:
selecting a corresponding virtual physiological human model according to the age and the sex of the subject;
calculating the body surface area of the subject according to the height and the weight of the subject;
comparing the body surface area of the subject with a default body surface area of a virtual physiological human model to obtain a zoom factor;
correcting the structural parameters of each organ tissue of the virtual physiological human model according to the scaling times, wherein the structural parameters comprise one or more of the lumen resistance, the compliance, the volume, the myocardial contractility and the respiratory muscle contractility of each blood vessel and each trachea structure;
predicting the basal metabolic rate by a Harris and Benedict formula according to the height, the weight, the age and the sex;
and calculating the metabolic quantity of each organ tissue according to the basic metabolic rate and the structural parameters of each organ tissue of the virtual physiological human model.
2. The system of claim 1, wherein the physiological signal-based virtual-real linkage experiment system further comprises:
the interaction module is used for inputting physiological parameters by a user and sending the physiological parameters to the control module;
the control module receives the physiological parameters sent by the interaction module and inputs the physiological parameters into the virtual physiological human model, and the virtual physiological human model executes corresponding operations according to the physiological parameters.
3. The system of claim 1, wherein the physiological parameter acquisition module comprises one or more of the following components:
a respiratory flow sensor for detecting respiratory data of a subject;
a metabolic meter for detecting metabolic data of a subject;
the electrocardio sensor is used for detecting electrocardio data of a subject;
a heart sound transducer for detecting heart sound data of a subject;
a continuous blood pressure meter for detecting real-time blood pressure data of a subject.
4. The system of claim 3, wherein the physiological parameter collecting module further comprises:
the spinning is used for collecting the riding speed, pedal angle, resistance, power and heart rate of a subject.
5. The system of claim 1, wherein the age obtaining method comprises:
acquiring a frontal face image of a subject;
extracting characteristic values of skin texture, skin color, brightness degree and wrinkle texture in the front face image;
and analyzing the characteristic values of the skin texture, the skin color, the brightness and the wrinkle texture to obtain the age of the subject.
6. The system of claim 1, wherein the method for acquiring gender comprises:
acquiring a frontal face image of a subject;
extracting characteristic values of skin texture, skin color, brightness degree and wrinkle texture in the front face image;
and obtaining the gender of the subject by using a secondary mode classifier according to the skin texture, the skin color, the brightness and the characteristic value of the wrinkle texture.
7. The system of claim 1, wherein the height obtaining method comprises:
acquiring an image of a subject;
calculating the initial height according to the position of the subject and the position of the image acquisition equipment;
detecting a hair height of a subject from the subject image;
and subtracting the hair height from the initial height to obtain the final height.
8. The system of claim 1, wherein the virtual human physiological model performs corresponding operations according to the physiological parameters, including:
according to the physiological parameters received by the control module, the metabolic quantity and the structural parameters of the virtual physiological human model, the preset physiological indexes are calculated in real time through a mathematical simulation formula of a physiological mechanism;
and controlling an organ animation model and a waveform of the virtual human physiology model and the posture state of the virtual human according to the physiological indexes.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110708284.XA CN113288087B (en) | 2021-06-25 | 2021-06-25 | Virtual-real linkage experimental system based on physiological signals |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110708284.XA CN113288087B (en) | 2021-06-25 | 2021-06-25 | Virtual-real linkage experimental system based on physiological signals |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113288087A CN113288087A (en) | 2021-08-24 |
| CN113288087B true CN113288087B (en) | 2022-08-16 |
Family
ID=77329475
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110708284.XA Active CN113288087B (en) | 2021-06-25 | 2021-06-25 | Virtual-real linkage experimental system based on physiological signals |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113288087B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114283662B (en) * | 2021-11-15 | 2023-10-20 | 成都泰盟软件有限公司 | Physiological feedback system and method of cardiopulmonary resuscitation model |
Family Cites Families (43)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11167451A (en) * | 1997-06-12 | 1999-06-22 | Sekisui Chem Co Ltd | Measuring system |
| WO2001028495A2 (en) * | 1999-10-08 | 2001-04-26 | Healthetech, Inc. | Indirect calorimeter for weight control |
| US20080205718A1 (en) * | 2005-05-23 | 2008-08-28 | Koninklijke Philips Electronics, N.V. | Automated Organ Linking for Organ Model Placement |
| EP2003316B1 (en) * | 2007-06-15 | 2011-06-22 | Ford Global Technologies, LLC | Weighted throttle adaptation |
| CN100568246C (en) * | 2008-01-17 | 2009-12-09 | 中山大学 | A kind of garments thermal comfort degree display systems towards teaching |
| WO2009117419A2 (en) * | 2008-03-17 | 2009-09-24 | Worcester Polytechnic Institute | Virtual interactive system for ultrasound training |
| US8315812B2 (en) * | 2010-08-12 | 2012-11-20 | Heartflow, Inc. | Method and system for patient-specific modeling of blood flow |
| CN102982581B (en) * | 2011-09-05 | 2017-04-05 | 北京三星通信技术研究有限公司 | System for virtually trying and method based on image |
| US20140336159A1 (en) * | 2011-10-07 | 2014-11-13 | Pulmatrix, Inc. | Methods for treating and diagnosing respiratory tract infections |
| US20140324400A1 (en) * | 2013-04-30 | 2014-10-30 | Marquette University | Gesture-Based Visualization System for Biomedical Imaging and Scientific Datasets |
| US11172860B2 (en) * | 2014-05-06 | 2021-11-16 | Peacs Investments B.V. | Estimating distribution fluctuation and/or movement of electrical activity through a heart tissue |
| CN106250573A (en) * | 2015-09-14 | 2016-12-21 | 深圳市易知见科技有限公司 | The modeling method of a kind of virtual three-dimensional human body and modeling |
| CN107292948B (en) * | 2016-04-12 | 2021-03-26 | 香港理工大学 | Human body modeling method and device and electronic equipment |
| US10194990B2 (en) * | 2016-04-27 | 2019-02-05 | Arthrology Consulting, Llc | Method for augmenting a surgical field with virtual guidance content |
| CN109844869B (en) * | 2016-09-23 | 2024-05-14 | 皇家飞利浦有限公司 | System and method for assessing outflow obstruction of a heart of a subject |
| EP3382647A1 (en) * | 2017-03-31 | 2018-10-03 | Koninklijke Philips N.V. | Device and method for sketch template generation or adaption |
| CN107491661A (en) * | 2017-09-30 | 2017-12-19 | 深圳前海卓岳科技发展有限公司 | A kind of medical record management method, apparatus, equipment and system |
| CN109815506B (en) * | 2017-11-20 | 2023-06-30 | 中国农业科学院农业信息研究所 | Wheat growth morphology model building method and device |
| CN107854142B (en) * | 2017-11-28 | 2020-10-23 | 无锡祥生医疗科技股份有限公司 | Medical ultrasonic augmented reality imaging system |
| CN110737326A (en) * | 2018-07-20 | 2020-01-31 | 广东虚拟现实科技有限公司 | Virtual object display method and device, terminal equipment and storage medium |
| CN108742667B (en) * | 2018-06-20 | 2022-07-26 | 上海博动医疗科技股份有限公司 | Method and device for obtaining blood flow characteristic value based on body quality index |
| US10832472B2 (en) * | 2018-10-22 | 2020-11-10 | The Hong Kong Polytechnic University | Method and/or system for reconstructing from images a personalized 3D human body model and thereof |
| CN109282961B (en) * | 2018-11-06 | 2020-09-01 | 广东电科院能源技术有限责任公司 | Power transmission tower aeroelasticity model parameter adjusting method and device |
| PL3669942T3 (en) * | 2018-12-17 | 2022-05-16 | Shanghai United Imaging Healthcare Co., Ltd. | Systems and methods for determining a region of interest of a subject |
| CN109829971B (en) * | 2019-01-18 | 2023-01-03 | 恒信东方文化股份有限公司 | Method and device for creating human body virtual model |
| CN110135246B (en) * | 2019-04-03 | 2023-10-20 | 平安科技（深圳）有限公司 | Human body action recognition method and device |
| CN110110647A (en) * | 2019-04-30 | 2019-08-09 | 北京小米移动软件有限公司 | The method, apparatus and storage medium that information is shown are carried out based on AR equipment |
| CN112137752A (en) * | 2019-06-27 | 2020-12-29 | 成都泰盟软件有限公司 | Novel animal experiment operation panel |
| US11576794B2 (en) * | 2019-07-02 | 2023-02-14 | Wuhan United Imaging Healthcare Co., Ltd. | Systems and methods for orthosis design |
| CN110444072A (en) * | 2019-08-06 | 2019-11-12 | 成都泰盟软件有限公司 | A kind of entity and virtual physiological test real time fusion system |
| CN110960219A (en) * | 2019-11-08 | 2020-04-07 | 上海市第七人民医院 | Intelligent auxiliary diagnosis system for skin ulcer wound surfaces |
| CN111028318A (en) * | 2019-11-25 | 2020-04-17 | 天脉聚源(杭州)传媒科技有限公司 | Virtual face synthesis method, system, device and storage medium |
| CN111012353A (en) * | 2019-12-06 | 2020-04-17 | 西南交通大学 | Height detection method based on face key point recognition |
| CN112990997A (en) * | 2019-12-17 | 2021-06-18 | 青岛海尔洗衣机有限公司 | Virtual fitting method |
| CN111460540A (en) * | 2020-02-27 | 2020-07-28 | 无锡中科数泰生物信息科技有限公司 | Garment 3D design display system based on garment fabric virtual transformation |
| CN111089954A (en) * | 2020-03-23 | 2020-05-01 | 成都泰盟软件有限公司 | Basal metabolism measuring device |
| CN111312009A (en) * | 2020-05-11 | 2020-06-19 | 成都泰盟软件有限公司 | Virtual-actual combined human body physiological experiment system |
| CN111289076B (en) * | 2020-05-13 | 2020-08-21 | 成都泰盟软件有限公司 | Human body physiological experiment system capable of automatically collecting human body basic data |
| CN111632376B (en) * | 2020-05-29 | 2023-04-07 | 网易（杭州）网络有限公司 | Virtual model display method and device, electronic equipment and storage medium |
| CN112016485A (en) * | 2020-08-31 | 2020-12-01 | 罗普特科技集团股份有限公司 | Passenger flow statistical method and system based on face recognition |
| CN112750176A (en) * | 2020-09-10 | 2021-05-04 | 腾讯科技（深圳）有限公司 | Image processing method and device, electronic equipment and storage medium |
| CN112168180B (en) * | 2020-09-24 | 2022-01-18 | 上海交通大学 | Tissue blood oxygen imaging detection method based on two-stage space mapping |
| CN211862787U (en) * | 2020-10-12 | 2020-11-06 | 成都泰盟软件有限公司 | Human body physiological experiment device combining deficiency and excess |
-
2021
- 2021-06-25 CN CN202110708284.XA patent/CN113288087B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN113288087A (en) | 2021-08-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104138253B (en) | A kind of noinvasive arteriotony method for continuous measuring and equipment | |
| CN105852846B (en) | Apparatus, system and method for testing heart motion function | |
| CN103426351B (en) | Can the arteries and veins aroused in interest of remote reproduction answer diagnosis by feeling the pulse training device and method | |
| US6411841B2 (en) | Human-related measuring assessment | |
| US6273728B1 (en) | Life support simulation system simulating human physiological parameters | |
| CN100450435C (en) | Vector ECG instrument and carrying out method thereof | |
| WO2021129067A1 (en) | Method, system and device for formulating and implementing personalized paced breathing exercise prescription | |
| CN111685992B (en) | Cardio-pulmonary resuscitation feedback system | |
| CN110279404B (en) | Pulse wave acquisition device and method | |
| WO2022037274A1 (en) | Muscle training method and system for providing visual feedback by using ultrasonic imaging | |
| CN1325016C (en) | Traditional Chinese pulse-diagnosis instrument | |
| EP2392256A1 (en) | Method and device for measuring the RSA component from heart rate data | |
| CN113160921A (en) | Construction method and application of digital human cardiovascular system based on hemodynamics | |
| CN113288087B (en) | Virtual-real linkage experimental system based on physiological signals | |
| CN112516541B (en) | Auxiliary training system used before MR and CT examination | |
| KR20160138682A (en) | Active Spinning Training System using Complex Physiological Signals | |
| WO2017075953A1 (en) | Accelerometer-based method and device for predicting heart rate during exercise | |
| Tey et al. | A novel remote rehabilitation system with the fusion of noninvasive wearable device and motion sensing for pulmonary patients | |
| CN110353692B (en) | System and method for evaluating physical ability, fatigue and recovery ability based on biological signals | |
| CN110251100A (en) | A kind of pulse-taking instrument | |
| CN106943125A (en) | A kind of intelligent diagnosis system and its implementation based on pulse wave | |
| CN113907727A (en) | Beat-to-beat blood pressure measuring system and method based on photoplethysmography | |
| CN109044276A (en) | A kind of method, apparatus and storage medium detecting the endogenous fatigue degree of muscle | |
| CN212394922U (en) | Cervical vertebra movement assessment and training system based on multi-dimensional sensory interaction | |
| JPH0546587A (en) | Virtual environment data display device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |