CN107495971A - Morbidity's alarm medical system and its detection method based on skeleton identification - Google Patents

Morbidity's alarm medical system and its detection method based on skeleton identification Download PDF

Info

Publication number
CN107495971A
CN107495971A CN201710621799.XA CN201710621799A CN107495971A CN 107495971 A CN107495971 A CN 107495971A CN 201710621799 A CN201710621799 A CN 201710621799A CN 107495971 A CN107495971 A CN 107495971A
Authority
CN
China
Prior art keywords
image
data
matrix morphology
real
time
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.)
Pending
Application number
CN201710621799.XA
Other languages
Chinese (zh)
Inventor
金雷
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Dalian And Creation Of Lazy Technology Co Ltd
Original Assignee
Dalian And Creation Of Lazy Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Dalian And Creation Of Lazy Technology Co Ltd filed Critical Dalian And Creation Of Lazy Technology Co Ltd
Priority to CN201710621799.XA priority Critical patent/CN107495971A/en
Publication of CN107495971A publication Critical patent/CN107495971A/en
Pending legal-status Critical Current

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1079Measuring physical dimensions, e.g. size of the entire body or parts thereof using optical or photographic means
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1121Determining geometric values, e.g. centre of rotation or angular range of movement
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1126Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
    • A61B5/1128Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique using image analysis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/7405Details of notification to user or communication with user or patient ; user input means using sound
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/746Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms

Abstract

The present invention relates to medical treatment detection device technical field, specifically morbidity's alarm medical system and its detection method based on skeleton identification, including visible terminal, real time inspection patient activity situation and skeletal gesture;Image capture module, for being in real time the image or video flowing needed for the collection of visible terminal;Data transmission module, image or video stream data transmission are carried out in real time;The dangerous matrix morphology data of collection are completed in storage module, storage in advance;Processing module, the image or video flowing of processing image capture module collection, real-time matrix morphology data are converted into by image or video flowing;The dangerous matrix morphology data needed for storage module are transferred, and contrasted with real-time matrix morphology data, judge similarity;Optoacoustic equipment, the abnormal conditions judged in real time according to visible terminal send warning, and the present invention contributes to care provider and medical personnel to take corresponding urgent emergency measures in time, has further ensured health of human body safety.

Description

Morbidity's alarm medical system and its detection method based on skeleton identification
Technical field
The present invention relates to medical treatment detection device technical field, that the body skeleton specifically based on real time image collection identifies, Judge whether patient falls ill and make the supervision equipment system of warning.
Background technology
Acquisition of the biological identification technology based on object organisms feature.Compare language and word, and biological identification technology is most Big feature is to be embodied and intuitive, and different conditions are distinguished by the nuance of biological characteristic.Closely or connect in The biological characteristic obtained, such as fingerprint, iris and face and voice etc. are touched, identification technology is played and has obtained tremendous development and input Using, but the acquisition of above-mentioned biological characteristic constrains to a certain extent with obtaining distance and obtaining the limitation of picture quality The further development of these technologies.
Skeleton identification technology belongs to the biological identification technology of long distance acquisition.For identification for biology, use is as simple as possible Single shape, the combination of even Points And lines bar describes object information, can briefly describe structural topology information, i.e., visual " skeleton ", or axis.Be compared to other identification technologies of aforementioned list, skeleton identification information can in remotely gathering, Close to collected object or it need not be in contact with it;And other identification technologies are compared to the image quality requirements of gathered information It is more loose.
It is non-autonomous locally or systemically ictal fortune by typical case, the significant clinical manifestation of some illnesss of epilepsy It is dynamic;And such illness has sudden, and fatal wound may be caused to patient in a short time, this also causes to patient Monitoring propose the round-the-clock and requirement that warns in time.International anti-epileptic alliance to epileptic attack reclassify and mend Fill so that the breaking-out pattern of epilepsy can have more fully to be distinguished with complete system.And the standard of this morbidity gesture actions It is long-range to monitor patient's to change and distinguish, also analyzed to using real-time monitoring images --- i.e. the biological identification technology such as skeleton identification --- Behavioral aspect provides the benchmark of the note on the use and reference.
The content of the invention
Lack the present situation of detection and alarm, this hair during in order to solve to fall ill for specified disease in existing medical monitoring devices It is bright that a kind of morbidity's alarm medical system based on skeleton identification is provided, it can detect and be presented when warning some morbidities specific The appearance of the illness for posture of falling ill so that the monitoring to sufferer adds real-time biological identification skill on the basis of physical signs Art, contribute to care provider and medical personnel to take corresponding urgent emergency measures in time, further ensured health of human body peace Entirely.
On the one hand, the present invention provides a kind of morbidity's alarm medical system based on skeleton identification, and it includes visual prison Terminal is protected, for real time inspection patient activity situation and skeletal gesture;Image capture module, for being in real time visible terminal Image or video flowing needed for collection;Data transmission module, for carrying out image or video stream data transmission in real time;Store mould Block, complete the dangerous matrix morphology data of collection in advance for storing;Processing module, for handling image capture module collection Image or video flowing, image or video flowing are converted into real-time matrix morphology data;Transfer the dangerous bone needed for storage module Frame morphological data, and contrasted with real-time matrix morphology data, judge similarity;Optoacoustic equipment, in real time according to visual The abnormal conditions that monitoring terminal is judged send warning.
On the other hand, there is provided a kind of detection method of morbidity's alarm medical system based on skeleton identification, its is specific Step is as follows:
Step 1:Video collecting device is called to carry out:The acquirement of image or video flowing;
Step 2:Acquired obtained image or video stream data are sent to computer equipment input by data transmission set Mouthful;
Step 3:Computer input port receives to the image in step 2 or video stream data, and carries out the data to meter The reading operation of calculation machine hard disk;
Step 4:For the real time data having been read into, the reality of monitored target in image is drawn with matrix morphology following function When matrix morphology data;
Step 5:Search for storage module in specify matrix morphology abnormal attitude data, by abnormal attitude data in database with The comparison of real-time matrix morphology data, the similarity degree of the latter before judgement;Step 6:According to similarity degree in step 5, qualitative reality When the state that is shown of matrix morphology whether can determine whether as abnormality;
Step 7:It is judged as the real-time matrix morphology data of abnormality for step 6, system could be made that warning.
Step 8:The matrix morphology data in real time will be released or be stored among the record of monitoring, for adjusting once again With.
Technical scheme includes following entry:
(a1)Supporting hardware facility, as the Equipment Foundations of the real-time matrix morphology of detection object sufferer, including:Visible is whole End, it can usually show by the monitor screen and or computer screen of monitoring end situation.The video terminal should meet minimum Configuration requirement, the picture frame quality handled by picture system shown by meaning, i.e. inside is at least matrix morphology detecting can be just The lowest image quality often operated;
The optoacoustic equipment of warning is sent, it is supporting with matrix morphology monitoring system, it can be realized in time with human sensory in real time Message form sends the optoacoustic equipment of warning, including but not limited to warning lamp and loudspeaker etc..This optoacoustic equipment be able to should supervise in real time The abnormal conditions that examining system is judged, and obvious information warning can be sent so that care provider can be instantly available burst shape The presence of condition, so as to make timely corresponding measure;
Transmission equipment when adopting picture equipment sum factually of image taking required by above-mentioned form monitoring system can be met.Configured Before adopting as equipment should be able to gather image quality enough clearly image or video flowing, and the equipment acquired image frame disclosure satisfy that State the lowest image quality of matrix morphology monitoring system normal operation.The image or video flowing of collection according to circumstances can be black and white or Colored image quality, and picking rate and collection delay are not more than required minimum standard.Used data transmission set The transmission speed of above-mentioned requirements and the minimum standard of transmission delay should be met.
(a2)The software section realized for matrix morphology monitoring function, including:Abnormal posture based on matrix morphology Data bank.For required monitoring morbidity when produce posture distortion etc. unusual condition illness, gathered by pretesting Etc. mode, obtain such a illness when occurring patient in physically issuable abnormal skeleton pose.With above-mentioned abnormal bone Based on frame posture, skeleton data series corresponding thereto is established, and is stored in that matrix morphology monitoring system is built-in or peripheral hardware In data stock, for the calling at any time of monitoring system.The corresponding abnormal bone of a variety of different syndromes can be allowed among same database Rack data series exists simultaneously.According to real needs, appeal data can carry out the classification based on various criterion, and allow monitoring Transferred among the process of function operation with one kind or transfer the matching that multiclass exception skeleton data carries out posture simultaneously;For guardian The user interface that member uses.The user interface should be designed as being principle to user close friend, according to care provider The specific requirement of body is operated accordingly, including but not limited to the beginning of detection function and termination or when manually setting monitoring Section, monitored object and called data purposeful selection, the criterion of object monitored " unsafe condition "(I.e. dangerous appearance The effective range of gesture and data in database adjusts), and the preference selection of warning way;Realize skeleton pose identification Program and algorithm include but is not limited to:Video collecting device is called to carry out the acquirement of the image or video flowing of given frame per second.
Acquired obtained image or video stream data are passing through(Or without)After processing, by data transmission set, Computer equipment input port is sent to based on certain frame per second.
Reception of the computer input port to image or video stream data from above-mentioned transmission equipment, and the data to The reading operation of hard disc of computer.For the real time data having been read into, with matrix morphology following function, quilt in image is drawn The real-time matrix morphology data of monitoring object.Search, the abnormal posture for specifying matrix morphology, pass through database middle skeleton form (Group)With the comparison of real-time matrix morphology, the similarity degree of the latter before judgement.In similarity measurement standard and whether send warning In the case that the threshold value of signal is previously set, can the qualitative state that is shown of matrix morphology in real time whether can determine whether to be " different Normal state ".Real-time matrix morphology data for meeting the above " abnormality ", system could be made that corresponding warning to notify prison Shield personnel.On the premise of monitoring function normal operation is not influenceed, real-time matrix morphology data will be released or be stored into prison Among the record of shield, and it is available for calling once again.
Beneficial effects of the present invention:It can detect and warn going out for the illness that specific morbidity posture is presented during some morbidities It is existing so that the monitoring to sufferer adds real-time biological identification technology on the basis of physical signs, contribute to care provider and Medical personnel take corresponding urgent emergency measures in time, have further ensured health of human body safety.
Brief description of the drawings
Fig. 1 is redundant module schematic diagram;
Fig. 2 is that skeleton contrasts program circuit.
Embodiment
, it is necessary to carry out corresponding software and database preparation to computer before the monitoring system comes into operation.
In terms of application software, computer should support the compiling and operation of the language such as C++;
The database of skeleton identification is with stacking hourglass network(Stacked Hourglass Network)Realize.For image Pose detection, be low-res by picture breakdown using convolution method in very high resolution image and attempt to look for human synovial Characteristic point;The thermal map that will be drawn afterwards with warp area method in aforementioned operation(Heatmap)Recombinated, finally obtain a secondary tool There is the thermal map of personage's individual pose feature.Human skeleton is the Topology connection of joint characteristic point.
Above-mentioned convolution and deconvolution process, shaped like hourglass, turn into single hourglass module in pixel scale feature.It is each husky Redundant module is inserted in stripping pattern block, i.e., by the result of lower processing in artwork and artwork(The minimum resolution that convolutional calculation obtains) The process of superposition, can Reduction Computation machine process memory space.
And the network that the data place of the present invention is used is end to end including 8 single hourglass modules, turns into and stack hourglass net Network.This convolution repeatedly/deconvolution processing to input picture is advantageous to more accurately refine last pose detecting effect.
The maximum resolution of hourglass module pair is arranged to 64x64.Whole network originates from the 7x7 convolutional layers that stride is 2, after A redundant module and once maximum pond are connect, resolution is down to 64 from initial 256.Access redundant module twice afterwards, Finally hourglass configuration is connect again.In whole hourglass configuration, redundant module will export 256 features(Point).
The study of hourglass network needs reference scale of the database of standard as training.The database that we choose includes FLIC and MPII Human Pose.FLIC includes 5003 the image from film(3987 learn images and 1016 Test image).All most of personages are marked with half body to showing in image.MPII Human Pose are then included about 25000 images, count the mark of more people's images in, share about 40000 mark samples(28000 learn samples and 11000 Learn sample).Because of the mark without test, the subfamily for learning sample is learnt in experiment, and uses the 3000 of definite value Individual checking series is evaluated.MPII includes being shot from the mankind's activity of broad range, comprising a series of whole body postures Image.
Hourglass network except carrying out pose identification to personage's individual in given image, the database required for this patent Also typical pose during epilepsy invasion is included.
Following description describe and the epileptic specified in ward is carried out remotely using the human skeleton identifying system Some details and running points for attention of patient's states monitoring.
In addition to meeting the minimalist configuration on monitoring system hardware and software, detected environment, which should try one's best, meets following bar Part:
A1, detection environment are ward, and background arrangement should try one's best simply, for example, the wall of monitoring direction and ground, sick bed and other The ornaments of furniture so that detected person is that the profile of patient is easy to extract;
Blocking for object should be avoided between a2, image capture device and monitored person as far as possible.In some monitoring situation such as whole bodies Property spasm, it is generally desirable to adopt to obtain the whole body skeletal gesture of monitored person as in the range of entirely, shelter is present can to a certain extent Influence the comparison and judgement of skeleton identification Compare System;
If a3, adopting as moveable condition is not present in the shooting of equipment, its pose should be fixed so that monitored people is in fixation Background under state change become apparent, so as to the more stable operation of detection function.
When occur medical personnel for some reason can not in detection ambient scene situation about being monitored, can set manually or timing from It is dynamic to run the skeleton identifying system;If multiple monitoring of environmental be present, the system can also be according to the period need of indivedual monitoring of environmental Ask, timesharing separated time journey operation skeleton identifying system.
Adopt as equipment with given frame per second carries out adopting picture to monitoring of environmental;Gathered image enters computer by transmission equipment Data-in port, wait the reading of computer.
After skeleton identifying system brings into operation, first ejection is set panel by display device, and detection function is adjusted for user Correlated variables, timesharing separated time journey as the aforementioned, the selectivity in institute's data storage storehouse calls, effective model of qualitative " danger " state Enclose, and sending method of alarm, etc..
After computer completes the reading of image stream, called by skeleton identifying system module.
The situation of monitored environment passes through odd number or plural display device real-time projection;And simultaneously, for being monitored environment In the also circular flow of skeleton identification function;The skeleton state of the monitored personnel detected by identification function will be by " rod The simple topology combination of bar " and " tie point ", is shown in same interface with the image of monitored environment in real time.
Above-mentioned skeleton state will also be called by comparison function, and calculate the state with being adjusted shown while simultaneously Degree is overlapped with the state of the abnormal skeleton state stored in database, and show that both is " similar with given quantized versions Degree ";By " similarity " of quantization compared with default threshold value.
Comparative result in above-mentioned steps can be represented simply with class Boolean, that is, judge that the state of current monitored person is " non- It is dangerous " or " danger ".If qualitative is " not dangerous ", alarm function is not triggered;If qualitative is " precarious position ", will call Alarm module, triggering start the type of alarm previously selected(Sound rings, vibration, flash of light, etc.);It can sound all clear manually and temporary transient The alarm function closed in skeleton identifying system.After the completion of skeleton identification process, institute's calling figure picture will be deposited according to setting in advance Storage or directly release, and continue to perform identification and comparison module to next two field picture.
With morbidity's alarm Medical Devices based on skeleton identification, can closely be guarded such as in the non-of medical personnel The behavior state for object patient is kept to carry out remote monitoring when rest.This measure can effectively improve medical personnel's Operating efficiency, while can still ensure the life and health safety of related human patients.

Claims (4)

  1. The medical system 1. morbidity based on skeleton identification alarms, it is characterised in that:Including visible terminal, for real-time Check patient activity's situation and skeletal gesture;Image capture module, for being in real time the image needed for the collection of visible terminal Or video flowing;Data transmission module, for carrying out image or video stream data transmission in real time;Storage module, for storing in advance Complete the dangerous matrix morphology data of collection;Processing module, will for handling the image or video flowing of image capture module collection Image or video flowing are converted into real-time matrix morphology data;Transfer the dangerous matrix morphology data needed for storage module, and with Real-time matrix morphology data are contrasted, judge similarity;Optoacoustic equipment, for being judged in real time according to visible terminal Abnormal conditions send warning.
  2. The medical system 2. morbidity according to claim 1 based on skeleton identification alarms, it is characterised in that:It is also wrapped Interactive module is included, it includes being used for the User Interface for realizing monitoring function.
  3. The detection method of medical system 3. the morbidity based on skeleton identification alarms, it is characterised in that:Comprise the following steps that:
    Step 1:Video collecting device is called to carry out:The acquirement of image or video flowing;
    Step 2:Acquired obtained image or video stream data are sent to computer equipment input by data transmission set Mouthful;
    Step 3:Computer input port receives to the image in step 2 or video stream data, and carries out the data to meter The reading operation of calculation machine hard disk;
    Step 4:For the real time data having been read into, the reality of monitored target in image is drawn with matrix morphology following function When matrix morphology data;
    Step 5:Search for storage module in specify matrix morphology abnormal attitude data, by abnormal attitude data in database with The comparison of real-time matrix morphology data, the similarity degree of the latter before judgement;
    Step 6:According to similarity degree in step 5, whether the state that matrix morphology is shown qualitative in real time can determine whether as exception State;
    Step 7:It is judged as the real-time matrix morphology data of abnormality for step 6, system could be made that warning.
  4. The detection method of medical system 4. the morbidity according to claim 3 based on skeleton identification alarms, its feature It is:Also include step 8:The matrix morphology data in real time will be released or be stored among the record of monitoring, for once again Call.
CN201710621799.XA 2017-07-27 2017-07-27 Morbidity's alarm medical system and its detection method based on skeleton identification Pending CN107495971A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710621799.XA CN107495971A (en) 2017-07-27 2017-07-27 Morbidity's alarm medical system and its detection method based on skeleton identification

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710621799.XA CN107495971A (en) 2017-07-27 2017-07-27 Morbidity's alarm medical system and its detection method based on skeleton identification

Publications (1)

Publication Number Publication Date
CN107495971A true CN107495971A (en) 2017-12-22

Family

ID=60689896

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710621799.XA Pending CN107495971A (en) 2017-07-27 2017-07-27 Morbidity's alarm medical system and its detection method based on skeleton identification

Country Status (1)

Country Link
CN (1) CN107495971A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109002783A (en) * 2018-07-02 2018-12-14 北京工业大学 Rescue the human testing in environment and gesture recognition method
CN109299685A (en) * 2018-09-14 2019-02-01 北京航空航天大学青岛研究院 Deduction network and its method for the estimation of human synovial 3D coordinate
CN109376673A (en) * 2018-10-31 2019-02-22 南京工业大学 A kind of coal mine down-hole personnel unsafe acts recognition methods based on human body attitude estimation
CN110364253A (en) * 2018-04-11 2019-10-22 西门子医疗有限公司 The system and method that patient for auxiliary positions
CN113421641A (en) * 2021-06-30 2021-09-21 重庆医科大学 Eclampsia patient protection device and prediction system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102113034A (en) * 2008-05-12 2011-06-29 阿列森斯有限公司 Monitoring, predicting and treating clinical episodes
CN105787439A (en) * 2016-02-04 2016-07-20 广州新节奏智能科技有限公司 Depth image human body joint positioning method based on convolution nerve network
CN106073792A (en) * 2016-06-08 2016-11-09 惠州学院 A kind of human motion posture analyzing system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102113034A (en) * 2008-05-12 2011-06-29 阿列森斯有限公司 Monitoring, predicting and treating clinical episodes
CN105787439A (en) * 2016-02-04 2016-07-20 广州新节奏智能科技有限公司 Depth image human body joint positioning method based on convolution nerve network
CN106073792A (en) * 2016-06-08 2016-11-09 惠州学院 A kind of human motion posture analyzing system

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110364253A (en) * 2018-04-11 2019-10-22 西门子医疗有限公司 The system and method that patient for auxiliary positions
CN110364253B (en) * 2018-04-11 2024-03-01 西门子医疗有限公司 System and method for assisted patient positioning
CN109002783A (en) * 2018-07-02 2018-12-14 北京工业大学 Rescue the human testing in environment and gesture recognition method
CN109299685A (en) * 2018-09-14 2019-02-01 北京航空航天大学青岛研究院 Deduction network and its method for the estimation of human synovial 3D coordinate
CN109376673A (en) * 2018-10-31 2019-02-22 南京工业大学 A kind of coal mine down-hole personnel unsafe acts recognition methods based on human body attitude estimation
CN109376673B (en) * 2018-10-31 2022-02-25 南京工业大学 Method for identifying unsafe behaviors of underground coal mine personnel based on human body posture estimation
CN113421641A (en) * 2021-06-30 2021-09-21 重庆医科大学 Eclampsia patient protection device and prediction system
CN113421641B (en) * 2021-06-30 2023-01-10 重庆医科大学 Eclampsia patient protection device and prediction system

Similar Documents

Publication Publication Date Title
CN107495971A (en) Morbidity's alarm medical system and its detection method based on skeleton identification
Chaudhuri et al. Fall detection devices and their use with older adults: a systematic review
CN101977302B (en) System and method for monitoring of sleep security
CN101937605B (en) Sleep monitoring system based on face detection
CN110477925A (en) A kind of fall detection for home for the aged old man and method for early warning and system
CN101937606B (en) Sleep monitoring system and method for quilt kicking alarm
JPWO2016147770A1 (en) Monitoring system and monitoring method
CN101937604A (en) Sleep monitoring system based on human body detection and method thereof
CN109492595B (en) Behavior prediction method and system suitable for fixed group
US20050196023A1 (en) Method for real-time remote diagnosis of in vivo images
Anishchenko Machine learning in video surveillance for fall detection
US9408562B2 (en) Pet medical checkup device, pet medical checkup method, and non-transitory computer readable recording medium storing program
Fan et al. Fall detection via human posture representation and support vector machine
CN107072548A (en) For people orientation and/or position automatic detection equipment, system and method
CN112957042B (en) Non-contact target emotion recognition method and system
CN109891516A (en) Equipment, system and method for patient-monitoring to predict and prevent bed from falling
CN109543607A (en) Object abnormal state detection method, system, monitor system and storage medium
CN109863562A (en) For carrying out patient-monitoring to predict and prevent the equipment, system and method for falling from bed
Gjoreski et al. Context-based fall detection and activity recognition using inertial and location sensors
CN109952615A (en) Queue for patient-monitoring
CN108882853A (en) Measurement physiological parameter is triggered in time using visual context
CN104506809B (en) A kind of severe sufferer monitoring system based on intelligent video
CN112036267A (en) Target detection method, device, equipment and computer readable storage medium
US20210400920A1 (en) Livestock stillbirthing alerting system
CN115482485A (en) Video processing method and device, computer equipment and readable storage medium

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
CB02 Change of applicant information
CB02 Change of applicant information

Address after: 116023 Room 1 203, Block 12, Block C, 6 Yiyang Road, Qixianling, Dalian High-tech Industrial Park, Liaoning Province

Applicant after: Hechuang Lazy Man (Dalian) Technology Co., Ltd.

Address before: 116023 Dalian High-tech Park, Liaoning Province, Takeoff Software Park Phase II 1-04B

Applicant before: Dalian and the creation of lazy Technology Co., Ltd.

RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20171222