CN109935325B - Detection method for Danver intelligent development screening combined with nerve motor function assessment in children brain development problem - Google Patents
Detection method for Danver intelligent development screening combined with nerve motor function assessment in children brain development problem Download PDFInfo
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Abstract
The invention relates to the technical field of children brain development problems and growth and development evaluation, in particular to a detection method for the children brain development problems by combining Danver intelligent development screening and nerve motor function evaluation. The method is mainly applied to disease evaluation and clinical curative effect judgment of children brain development problems, full-moon physical examination of newborns, regular growth and development evaluation of healthy children and the like. The method is suitable for the paediatrics clinician to skillfully apply the Danver intelligent development screening, the nerve motor function evaluation (20 nerve motor items in 0-12 months), the 20 behavioral nerve score (NBNA) of the newborn and other examination methods, and comprehensively evaluate the brain development series diseases of the children by combining with other laboratories, imaging examination and other examinations, and can make more objective, accurate, comprehensive and reasonable evaluation on the disease conditions and clinical effects of the brain development series diseases of the children. The method applies the growth development evaluation technology to the clinical routine diagnosis and treatment of the brain development problem of children, and fills the blank of the conventional diagnosis and treatment of traditional pediatric clinicians.
Description
Technical Field
The invention relates to the technical field of infant brain development problems and growth and development evaluation, in particular to a detection method for Danver intelligent development screening combined with neuromotor function evaluation in the infant brain development problems.
Background
The problem of infant brain development refers to: premature birth, neonatal Hypoxic Ischemic Encephalopathy (HIE), neonatal asphyxia, neonatal intracranial hemorrhage, nuclear jaundice, cerebral dysplasia, Brainstem Auditory Evoked Potential (BAEP) abnormality, cerebral palsy and other diseases affecting children's language, action, behavior and intelligence development due to craniocerebral injury or after-congenital development. The series of diseases generally has a definite medical history: such as abnormal birth history, such as anoxia, asphyxia or intracranial hemorrhage, or retrograduality due to intrauterine reasons, or postnatal trauma, anoxia, and jaundice. The brain development problem of children is more common in young infants, if the children are recovered badly, the development of the children in the long term intelligence, language, action, behavior and the like is influenced, and early intervention is needed in the key period of the brain nervous system development of 0 to 3 years old, particularly 0 to 6 months old, so the brain development problem of the children is more and more emphasized by parents and pediatricians.
The inventors have for the last 5 years focused on the study of pediatric/childcare efforts: the study on the growth and development of children and the problems of high-risk children. For each child visited previously, a growth development assessment was made in person (DST test in combination with neuromotor function assessment). The clinical research finds that: the problem of infant brain development is still insufficient by means of imaging, BAEP and laboratory examination, and the evaluation of children psychological behaviors and intelligent development should be combined, hereinafter referred to as development evaluation, clinical diagnosis, clinical curative effect and prognosis evaluation are more accurate. The research proves that: a child who has clearly lagged behind an individual developmental assessment may have its BAEP normal throughout; BAEP may also return to normal quickly with a small percentage of children whose developmental assessments are lagging behind. For BAEP normal or mild abnormality, MRI only has mild to moderate abnormality, and in this case, growth and development evaluation is needed to correctly judge the intelligent and action behavior development status of the infant patient so as to determine whether active intervention is needed clinically, i.e. even if some mild BAEP abnormality and/or MRI mild abnormality exists in clinic, if the child development evaluation is normal, clinical intervention such as drug treatment of ganglioside, cerebroprotein and the like can be temporarily not given. On the contrary, if the children have mild BAEP and/or MRI mild abnormalities and if the intelligence and the action behavior development are obviously delayed after being evaluated, the children still need to be careful clinically, and the children should be evaluated for growth and development regularly and intervened actively. The inventor diagnoses and treats 500 infant brain development series problems for four years continuously through the scheme and makes regular follow-up visits, and regular diagnoses and treatment people with following medical advice have good prognosis. Therefore, if the infant disease condition can be comprehensively evaluated by combining the growth and development evaluation technology of children while the infant brain development problem is evaluated by conventional MRI and BAEP, the clinical diagnosis and treatment of the infant brain development problem will be more reasonable without carelessness.
The growth and development evaluation can early detect abnormality and slight brain injury in the routine physical examination of the infant for 0-6 months, and prompts the need of early intervention so as not to miss the optimal early rehabilitation treatment opportunity (0-12 months, especially 0-6 months); meanwhile, for a small part of children with normal BAEP and (or) mild MRI abnormity, whether active intervention is needed in clinic or not is determined according to whether developmental evaluation lags behind, and the time or treatment course of intervention is determined according to the laggard degree. Therefore, the evaluation of the psychological behaviors and the intelligent development of children is an important examination method in the clinical diagnosis and treatment of the brain development problem of infants.
For children, the nature of common developmental rating scales includes screening scales, diagnostic scales, and special test scales, among others. The children intelligent development assessment scale and the mental behavior problem assessment scale can be divided according to assessment contents, and the children intelligent development assessment scale and the mental behavior problem assessment scale can be divided into a structured scale and a non-structured scale according to the assessment contents. Structured gauges may be comprehensive or singular, such as language, sports, behavior, temperament, personality, mood, internet addiction, abuse gauges, and the like. The assessment may be self-assessment or he-assessment (as specified by the professional). The communication mode is divided into two types of assessment scales, namely speech test and nonspeech test (or called operation), and part of the assessment scales comprise two types. Each rating may be a one-to-one rating or a group test (preferably no more than 20 people at a time). Generally, development rating scales with higher utility values must be standardized and have good reliability and efficacy. Through evaluation, whether the growth and development of the children are normal or not and which position of the children of the same age is abnormal in time, whether the children are abnormal singly or abnormal in all aspects or are in obstacle. Therefore, the assessment scale for children's intelligent and psychological behavioral development is the most important and primary growth and development assessment method for children, and is an important routine examination for diagnosing and differentially diagnosing the problems of intelligent development, behavioral abnormality and psychological disorder of children in clinic.
At present, domestic pediatric clinicians generally evaluate brain injury and clinical rehabilitation curative effects of children according to examinations such as imaging, BAEP, biochemistry and the like, rarely apply psychological behaviors and intelligent development evaluation of children at the same time, pediatricians pay attention to nutrition and feeding of children, and convalescence doctors pay attention to rehabilitation and evaluation of limb functions. In the face of a series of children brain development problems, the children brain development problems can be more comprehensively and reasonably diagnosed by combining the professional skills of a pediatrician and the growth and development assessment and nutrition and feeding guidance of an infant care doctor! Therefore, it is essential for pediatricians to be able to exercise the growth and development evaluation technology in clinical diagnosis and treatment of brain development problems of children. (traditional pediatrician conventional diagnosis and treatment thinking combined with children health care/children rehabilitation idea)
Danver intelligent development screening test (DDST) evaluates the motion, intelligence, language, cognition, social behavior and the like of children, can better evaluate the intelligent development condition of children patients, but does not include muscle tension and nerve reflex; neuro-motor 20 exam primary assessment: the general situation, the motor development, the joint activity, the active muscle tension, the passive muscle tension and the neural reflex are emphasized, the motor development, the muscle tension and the neural reflex are emphasized, the defect of the motor development evaluation in the DST development screening can be made up, but the intelligent development is not covered, so the brain development condition of the child can be more comprehensively evaluated by combining the DST development screening and 20 nerve motor examinations! Can make more comprehensive and reasonable development evaluation on each high-risk child and children with physical examination every 42 days.
In view of the above, the application of the denver intelligent development screening and the neural motor function assessment technology in the clinical diagnosis and treatment of the brain development problem of children is invented through clinical research experiences so as to better serve the clinic.
Disclosure of Invention
The invention mainly aims to provide an important clinical examination method which is applied to clinical routine diagnosis and treatment of brain development problems of children by combining Danver intelligent development screening with a nerve motor function evaluation technology and is used for solving the problems that related clinical departments proposed in the background technology need to pay attention to comprehensively, objectively and accurately evaluating the illness, clinical curative effect and prognosis of children suffering from brain injuries and developmental retardation.
In order to achieve the purpose, the invention provides the following technical scheme:
the detection method for the brain development problems of children by combining Danver intelligent development screening with nerve motor function assessment comprises a login module for user information login, a test module for diagnosis and treatment tests of a user, a storage module for data storage and an intelligent test tool box for testing, wherein the login module comprises a user login module for the user to login a system, a doctor login module for the doctor to login the system and an administrator login module for an administrator to login the system, the user login module comprises an identity information login module and an identity information storage module, the doctor login module comprises a data import module and a data search module, and the administrator login module comprises a system addition module and a system management module; the identity information login module is used for registering and logging in identity information of a user; the identity information storage module is used for storing the identity information registered and logged by the user; the data import module is used for importing the identity information of the user into the system by a doctor; the data searching module is used for inquiring the information of the user by the doctor; the system adding module is used for adding and updating data in the system by an administrator; and the system management module is used for managing and deleting the data in the system by an administrator. Preferably, the test module comprises a Danver intelligent development screening evaluation module, a newborn baby evaluation module (NBNA), a neuromotor function evaluation module, a microprocessor and a data derivation module; the Danver intelligent development screening and evaluating module is designed based on an intelligent development screening reference table of children aged 0-6, and the Danver intelligent development screening and evaluating module is stored with information of the intelligent development screening reference table of children aged 0-6; the neonate evaluation module is designed based on 20 behavioral nerve scoring methods of the neonate, and NBNA scoring method information is stored in the neonate evaluation module; the neuromotor function evaluation module is designed based on 20 scoring methods of 0-12 months of neuromotor, and 20 scoring method information of 0-12 months of neuromotor is stored in the neuromotor function evaluation module; the microprocessor consists of a plurality of customized board cards carrying Zynq-7000 chips, and each board card comprises storage equipment, I/O equipment, a power supply and a clock module besides Zynq; the data export module is used for exporting the data of the test evaluation. Preferably, the Danver intelligent development screening and evaluating module comprises a month selection module, an intelligent development testing module and an evaluating algorithm module; the month selection module is used for selecting according to different months of the children and further outputting test items of different months; the intelligent development testing module is used for testing the brain development condition of the children; the evaluation algorithm module is used for analyzing and calculating the tested data. Preferably, the intelligent development testing module comprises a motion testing module, a social adaptation testing module and an intelligence testing module; the motion testing module is used for testing the motion function of the child; the social adaptation testing module is used for testing the social adaptation capability of the children; the intelligence test module is used for testing the intelligence of the children. Preferably, the newborn evaluation module comprises an NBNA scoring method information module and an analysis algorithm module; the NBNA scoring method information module is used for evaluating the behavioral nerves of the neonate; the analysis algorithm module is used for analyzing and processing the tested data. Preferably, the NBNA scoring method information module comprises a behavior ability evaluation module, an active muscle tension evaluation module, a passive muscle tension evaluation module, an original reflection evaluation module, a consciousness degree evaluation module, a crying degree evaluation module and an activity degree evaluation module;
the behavioral ability assessment module is used for testing and assessing the behavioral ability of the newborn; the active muscle tone evaluation module is used for performing test evaluation on active muscle tone of the newborn; the passive muscle tension evaluation module is used for performing test evaluation on the passive muscle tension of the newborn; the original reflection evaluation module is used for testing and evaluating the original reflection of the neonate; the arousal evaluation module is used for carrying out test evaluation on the arousal of the newborn; the crying evaluation module is used for testing and evaluating the crying condition of the newborn; the activity evaluation module is used for testing and evaluating the activity condition of the newborn. Preferably, the neuromotor function evaluation module comprises a neuromotor function evaluation module and an analysis algorithm module of 20 scoring information of 0-12 months of psychomotor;
the nerve motor function evaluation module is used for testing and evaluating the nerve motor function of the child; the analysis algorithm module is used for analyzing and processing the tested data. Preferably, the neuromotor function evaluation module comprises a general condition evaluation module, an abnormal posture and motion evaluation module, a motion development evaluation module, a joint activity evaluation test module and a neuroreflex evaluation module; the general condition evaluation module is used for testing and evaluating the general condition of the child; the abnormal posture and motion evaluation module is used for testing and evaluating the abnormal posture and motion of the child; the motion development evaluation module is used for testing and evaluating the motion development of the children; the joint activity degree evaluation module is used for testing and evaluating the joint activity degree of the child; the neural reflex evaluation module is used for testing and evaluating the neural reflex of the child. Preferably, the storage module comprises a data import module, a cloud storage module and a data printing module; the data import module is used for importing tested data; the cloud storage module is used for storing the imported data to a cloud; the data printing module is used for printing the imported data into a paper report. Preferably, the detection method for the Danver intelligent development screening combined with the neural motor function assessment in the brain development problem of children comprises the following steps:
s1: the user logs in the system through the identity information login module of the user login module and stores the login information through the identity information storage module;
s2: a doctor logs in the system through a doctor login module, the identity information of a user can be imported into the system through a data import module, and the information of the user can be inquired through a data search module; s3: the system comprises a system adding module, a system managing module, a system login module, a system updating module and a system updating module, wherein an administrator logs in the system through the administrator login module, can add and update data in the system through the system adding module, and can manage and delete the data in the system through the system managing module; s4: after logging in the system, a user selects a corresponding module for test evaluation according to the age and clinical needs of children, and the method comprises the following steps: a newborn evaluation module, a Danver intelligent development screening evaluation module, a neuromotor function evaluation module or the Danver intelligent development screening is combined with the neuromotor function evaluation module to carry out related tests; s5: selecting a newborn evaluation (NBNA) module for the newborn with 0-28 days, and performing system test on the newborn through a behavior ability evaluation module, an active muscle tension evaluation module, a passive muscle tension evaluation module, an original reflection evaluation module, a consciousness evaluation module, a crying evaluation module and an activity evaluation module; analyzing the tested data through an analysis algorithm module; s6: the method comprises the steps that 1-12 months children select a Danver intelligent development screening evaluation module, or a nerve motor function evaluation module containing 20-month nerve motor scoring information, or the Danver intelligent development screening containing 20-month nerve motor scoring information is combined with the nerve motor function evaluation module, through a month and clinical requirement selection module, the intelligent development testing module tests brain development conditions of the children, and the nerve motor function testing module tests nerve motor functions of the children; the test evaluation can be carried out independently or jointly, and the analysis algorithm module is used for analyzing and processing the test data; s7: a child aged 1-6 should select a Danver intelligent development screening evaluation module and/or a neuromotor function evaluation module, the intelligent development and neuromotor function of the child is tested independently or jointly through the Danver intelligent development evaluation module and the neuromotor function evaluation module, and the tested data is analyzed and processed through an analysis algorithm module; s8: after the evaluation algorithm module and the analysis algorithm module calculate, data are led into the microprocessor for processing, and data evaluated by testing are led out through the data leading-out module; s9: the test data is imported through the data import module, and the imported data can be stored to the cloud end through the cloud end storage module; s10: the data printing module can also print the imported data into a paper report.
Compared with the prior art, the invention has the beneficial effects that:
1. the method is applied to clinical diagnosis and treatment of the brain development problem of the children by the fact that a pediatrician is skilled in mastering the Danver intelligent development screening and the nerve motor function evaluation technology, and fills the blank of the conventional clinical diagnosis and treatment technology of the pediatrician. 2. The detection method combines Danver intelligent development screening with neuromotor function evaluation in the brain development problem of children, and comprehensively applies Danver intelligent development test and neuromotor function evaluation, so that the development evaluation of the brain development problem of children is more comprehensive. 3. The detection method combines Danver intelligent development screening with nerve motor function evaluation in the children brain development problem, and comprehensively evaluates the children brain development problem by skillfully applying 2 growth development evaluation technologies by a pediatric clinician in combination with other laboratories, imaging and other examinations, and the like, so that the judgment on the illness state, the clinical curative effect and the prognosis of a child patient is more comprehensive and reasonable. 4. Detection method of Danver intelligent development screening combined with neuromotor function evaluation in children brain development problem, which is used clinically: for children with mild BAEP abnormality and/or MRI abnormality, a clear thinking direction can be provided for the next clinical diagnosis and treatment through the growth and development evaluation; and determining whether active intervention is needed in clinic and the time and the course of the intervention according to the evaluation condition. 5. The detection method of Danver intelligent development screening combined with the neural motor function evaluation in the children brain development problem can find the slight brain injury of the baby at the early stage by the development evaluation method, avoid the deficiency of single evaluation, avoid missing the best early rehabilitation treatment opportunity, and simultaneously be used for guiding clinical rehabilitation. 6. The detection method of Danver intelligent development screening combined with the neuromotor function evaluation in the children brain development problem can periodically evaluate the children patients with brain injury and developmental retardation through the development evaluation method, and can longitudinally observe the clinical rehabilitation curative effect and prognosis through linear observation. And the development evaluation is purely manual operation, is non-invasive, and children and parents are willing to cooperate, and are willing to select the examination preferentially.
Drawings
FIG. 1 is a block diagram of the overall structure of the present invention;
FIG. 2 is a diagram of a log-in module of the present invention;
FIG. 3 is a diagram of a test module of the present invention;
FIG. 4 is a block diagram of the Danver intelligent development screening evaluation module of the present invention.
FIG. 5 is a diagram of a motion testing module of the present invention;
FIG. 6 is a diagram of a neuromotor function assessment module of the present invention;
FIG. 7 is a diagram of a neuromotor test module of the present invention;
FIG. 8 is a drawing of the setting of topic parameters of the present invention.
FIG. 9 is a flow chart of a structure topic extraction algorithm of the present invention;
FIG. 10 is a diagram of a storage module of the present invention;
FIG. 11 is a diagram of a newborn evaluation module of the present invention;
FIG. 12 is a block diagram of the smart tool box of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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 derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Example 1
The detection method for the brain development problem of children by combining Danver intelligent development screening with neuromotor function evaluation is shown in figures 1 and 2, and comprises a login module for user information login, a test module for diagnosis and treatment test of a user and a storage module for data storage, wherein the login module comprises a user login module for a user login system, a doctor login module for a doctor login system and an administrator login module for an administrator login system, the user login module comprises an identity information login module and an identity information storage module, the doctor login module comprises a data import module and a data search module, the administrator login module comprises a system addition module and a system management module, the identity information login module is used for registering and logging in identity information of the user, and the identity information storage module is used for storing the registered and logged-in identity information of the user, the system comprises a data import module, a data search module, a system addition module and a system management module, wherein the data import module is used for importing the identity information of a user into the system by a doctor, the data search module is used for inquiring the information of the user by the doctor, the system addition module is used for adding and updating data in the system by an administrator, and the system management module is used for managing and deleting the data in the system by the administrator.
The server of the login system in the embodiment is realized by adopting a J2EE mode, interaction with the mobile terminal is realized by mainly adopting a servlet technology, and the J2EE has the characteristics of platform independence, easy transplantation, high performance, easy deployment and the like.
Further, the data searching module adopts a linear searching algorithm, and the algorithm steps are as follows:
1. the n elements are grouped into n/5 (upper bound) groups, one group of 5 each.
2. Taking the median of each group, and any sort method, such as insert sort.
3. And recursively calling a selection algorithm to search the median of all the medias in the previous step, setting the median as x, and setting the median as one with a small middle in the case of even numbers of medias.
4. And dividing the array by using x, wherein the number of x is less than or equal to k, and the number of x is more than n-k.
5. If i is k, returning x; if i < k, recursively searching the ith small element in the elements smaller than x; if i > k, the elements i-k small are recursively looked up among the elements larger than x.
Termination conditions were as follows: when n is 1, i is a small element.
The program of the data search module is set as follows:
publicclassLineSearch{
/**
*@paramargs
*@authorTD_LSW
*/
publicstaticvoidmain(String[]args){
//TODOAuto-generatedmethodstub
// input data array
int[]a＝{12,76,29,22,15,62,29,58,35,67,58,33,28,89,90,28,64,48,20,77}；
LineSearchline＝newLineSearch()；
line.lineSearch(a,22)；
}
/**
Linear search
*@parama
*@parame
*/
privatevoidlineSearch(int[]a,inte){
//TODOAuto-generatedmethodstub
V/data index count variable
intcount＝1；
for(inti＝0；i<a.length；i++){
// output data
System.out.println ("current data is:" + a [ i ]);
if(e＝＝a[i]){
println ("the number of times of co-comparison is:" + count + "the index in the array is:" + i);
break；
}
if(i＝＝a.length-1&&e！＝a[i]){
system.out.println ("data not present |");
system.out.println ("total number of comparisons:" + count);
}
count++；
}
}
}
when the login module in the embodiment is used, a user logs in the system through the identity information login module of the user login module, the login information is stored through the identity information storage module, a doctor logs in the system through the doctor login module, the identity information of the user can be imported into the system through the data import module, the information of the user can be inquired through the data search module, an administrator logs in the system through the administrator login module, the data in the system can be added and updated through the system addition module, and the data in the system can be managed and deleted through the system management module.
Example 2
As a second embodiment of the present invention, in order to facilitate Danver intelligent development evaluation, neuromotor function evaluation (20-month 0-12 neural exercises) and neonatal behavioral nerve evaluation (NBNA) for children, the present inventors also designed an intelligent testing kit. In this embodiment, the intellectual testing kit is a DST intellectual testing kit infant intellectual testing kit with a model TD-SC-200, manufactured by jingtongde electronics technologies ltd. Furthermore, the intelligent measuring tool box comprises 20 x 20 cm of dark square cloth, one red pompon with the diameter of 7 cm, one metal bell with a handle (the height is 7.5 cm, the diameter of the bell mouth is 4 cm), one red leather ball with the diameter of 6 cm, one red or pink sugar pellet with the diameter of 0.8 cm, six red square wood blocks with the side length of 2.5 cm, one cat paper with a 4 mm small hole in the center of 30 x 20 cm, one handle cup with the height of 5 cm and the diameter of 9 cm, one transparent glass bottle with the caliber of 1.5 cm and the height of 5-6 cm, one incomplete picture, one pencil and one paper (used for drawing circles), button material selection, wood bead penetrating material, picture splicing material, rectangular splicing material and one portrait printing test paper. Specifically, the button selecting material comprises five black and white buttons with the diameter of 0.7 cm and one small box. Specifically, the stringing wood bead material comprises five blue square small wood beads with holes and one strip. In particular, the puzzle material includes two pieces of picture cut therefrom. Specifically, the rectangular material comprises an uncut rectangular sheet, and a rectangular sheet cut along the diagonal line and having a length of 6 cm and a width of 4 cm.
Example 3
As a third embodiment of the present invention, in order to facilitate the development evaluation of children, the present invention sets a testing module, as shown in fig. 3, the testing module includes a danver intelligent development screening evaluation module, a newborn baby evaluation module, a neuromotor function evaluation module, a microprocessor and a data derivation module. The Danfo intelligent development screening and evaluating module is designed based on an intelligent development screening reference table of children, and intelligent development screening reference table information of 0-6-year-old children is stored in the Danfo intelligent development screening and evaluating module; the newborn evaluation module is designed based on an NBNA (negative bias potential) rating method, and NBNA rating method information is stored in the newborn evaluation module; the neuromotor function evaluation module is designed based on 20 behavioral neural scoring methods of 0-12-month neuromotor, and the neuromotor function evaluation module is internally stored with 20 behavioral neural scoring method information of 0-12-month neuromotor. The microprocessor consists of a plurality of customized board cards carrying Zynq-7000 chips, each board card comprises storage equipment, I/O equipment, a power supply and a clock module besides Zynq, and the data export module is used for exporting the data of test evaluation.
In this embodiment, after logging in the system, the user can select the danver intelligent development screening evaluation module, the newborn evaluation module and the neuromotor function evaluation module to perform individual or combined test evaluation.
Specifically, the Danver intelligent development screening and evaluating module mainly evaluates: the clinical significance of the Chinese medicinal composition is as follows: 1. some children were screened for possible developmental problems, but no apparent manifestations. 2. This method can be used to confirm or deny a child suspected of having a problem. 3. Development monitoring can be carried out on the high-risk infants. Further, the neuromotor function evaluation module mainly evaluates: general conditions, motor development, joint mobility, active muscle tone, passive muscle tone, nerve reflex and the like, and the clinical significance of the traditional Chinese medicine is as follows: 1. is beneficial to the sound care and the early development of intelligence. 2. The early detection of mild brain injury is facilitated, the opportunity of strong plasticity of the early central nervous system is fully utilized, and compensatory rehabilitation is promoted. 3. As a means for detecting the influence of perinatal high-risk factors on the newborn. 4. The influence of genetic and intrauterine differences on the behavior of the neonate and the subsequent character characteristics were studied. 5. The early detection of the brain injury and the brain function development and rehabilitation of the high-risk infant is facilitated.
It is worth mentioning that danver intelligent development screening is combined with 20 examination comprehensive applications of neural motion:
DDST assesses the child's locomotion, intelligence, language, cognition, social behavior, etc., but not muscle tone and neuroreflex; neuro-motor 20 exam primary assessment: the general situation, the motor development, the joint activity, the active muscle tension, the passive muscle tension, the nerve reflex and the like are emphasized, the motor development and the muscle tension situation are overcome, the defect of the motor development evaluation in the DST development screening can be overcome, but the intelligent development is not covered, so the DST development screening and the nerve movement 20 examination can provide more comprehensive and objective growth development evaluation for the children suffering from brain injury and developmental retardation, the single evaluation deficiency is avoided, and the optimal early rehabilitation treatment opportunity is avoided. Specifically, the neuromotor function evaluation module comprises the following contents:
example 4
As a fourth embodiment of the present invention, in order to facilitate a user to evaluate the intelligent development of a child, a person of the present invention sets a denver intelligent development screening evaluation module, as shown in fig. 4 and 5, as a preferred embodiment, the denver intelligent development screening evaluation module includes a month selection module, an intelligent development testing module, and an evaluation algorithm module, the month selection module is configured to select according to different months of the child, and further output testing items of different months, the intelligent development testing module is configured to perform a brain development condition test on the child, and the evaluation algorithm module is configured to calculate data of the test.
In this embodiment, the intelligent development testing module includes a motion testing module, a social adaptation testing module, and an intelligence testing module, where the motion testing module is used to test the motion function of the child, the social adaptation testing module is used to test the social adaptation ability of the child, and the intelligence testing module is used to test the intelligence of the child.
In this embodiment, the exercise function test includes a body coordination test, a balance test, a flexibility test, a head and neck autonomous control test, a trunk autonomous control test, a limb autonomous control test, and the like.
The children intelligence development test of this embodiment tests children's motion function through motion test module, tests children's social adaptability through social adaptation test module, tests children's intelligence through intelligence test module.
Example 5
As a fifth embodiment of the present invention, in order to facilitate a user to evaluate the intelligent development of a child, the personnel of the present invention sets a denver intelligent development screening evaluation module, as shown in fig. 4 and 5, as a preferred embodiment, the denver intelligent development screening evaluation module includes a month selection module, an intelligent development testing module, and an evaluation algorithm module, the month selection module is used for selecting according to different months of the child, and further outputting testing items of different months, the intelligent development testing module is used for testing the brain development status of the child, and the evaluation algorithm module is used for calculating the tested data. In this embodiment, the intelligent development testing module includes a motion testing module, a social adaptation testing module, and an intelligence testing module, where the motion testing module is used to test the motion function of the child, the social adaptation testing module is used to test the social adaptation ability of the child, and the intelligence testing module is used to test the intelligence of the child. In this embodiment, the exercise function test includes a body coordination test, a balance test, a flexibility test, a head and neck autonomous control test, a trunk autonomous control test, a limb autonomous control test, and the like. The children intelligence development test of this embodiment tests children's motion function through motion test module, tests children's social adaptability through social adaptation test module, tests children's intelligence through intelligence test module. In this embodiment, the evaluation algorithm module program is set as follows:
Packagefirst；
importjava.io.*；
importjava.util.*；
publicclassAnalysisResult{
/**
*@paramargs
*/
publicstaticvoidmain(String[]args){
//TODOAuto-generatedmethodstub
FilefRead＝newFile("score.txt")；
FilefWrite＝newFile("scoreAnalysis.txt")；
try{
Writerout＝newFileWriter(fWrite,true)；
BufferedWriterbufferWrite＝newBufferedWriter(out)；
Readerin＝newFileReader(fRead)；
BufferedReaderbufferRead＝newBufferedReader(in)；
Stringstr＝null；
while((str＝bufferRead.readLine())！＝null){
doubletotalScore＝Fenxi.getTotalScore(str)；
str is str + "total score: "+ totalScore;
System.out.println(str)；
bufferWrite.write(str)；
bufferWrite.newLine()；
}
bufferRead.close()；
bufferWrite.close()；
}
catch(IOExceptione){
System.out.println(e.toString())；
}
}
}
importjava.util.*；
publicclassFenxi{
publicstaticdoublegetTotalScore(Strings){
Scannerscanner＝newScanner(s)；
scanner.useDelimiter("[^0123456789.]+")；
doubletotalScore＝0；
while(scanner.hasNext()){
try{
doublescore＝scanner.nextDouble()；
totalScore＝totalScore+score；
}
catch(InputMismatchExceptionexp){
Stringt＝scanner.next()；
}
}
returntotalScore；
}
further, the evaluation algorithm module comprises a Lagrange interpolation method, and the formula is as follows:
two points are performed once:
three points are carried out twice:
specifically, the evaluation algorithm module further comprises a newton interpolation method, and the formula is as follows:
n-degree Newton's polynomial:
Nn(x)＝f(x0)+f[x0，x1](x-x0)+…+f[x0，x1，...xn](x-x0)...(x-xn-1)
wherein ω isn+1(x)＝(x-x0)(x-x1)…(x-xn-1)
When the Danver intelligent development screening and evaluating module in the embodiment is operated, a user selects and enters the Danver intelligent development screening and evaluating module, the month selecting module selects according to different months of the child, the intelligent development testing module tests the brain development condition of the child, and the evaluating algorithm module analyzes and calculates the tested data.
Example 6
As a sixth embodiment of the present invention, in order to facilitate the test evaluation of the newborn infants from 0 to 28, the present invention provides a newborn evaluation module, as shown in FIG. 11, which includes a newborn behavior assessment information (NBNA) module and an analysis algorithm module. The NBNA scoring method information module comprises a behavior ability evaluation module, an active muscle tension evaluation module, a passive muscle tension evaluation module, an original reflection evaluation module, a consciousness evaluation module, a crying evaluation module and an activity evaluation module. The behavior ability evaluation module is used for testing and evaluating the behavior ability of the neonate, the active muscle tension evaluation module is used for testing and evaluating the active muscle tension of the neonate, the passive muscle tension evaluation module is used for testing and evaluating the passive muscle tension of the neonate, the original reflex evaluation module is used for testing and evaluating the original reflex of the neonate, the arousal degree evaluation module is used for testing and evaluating the arousal degree of the neonate, the crying evaluation module is used for testing and evaluating the crying condition of the neonate, and the activity evaluation module is used for testing and evaluating the activity condition of the neonate. In this embodiment, the behavioral ability assessment module includes the ability to respond to light stimuli, the ability to respond to the grid sounds, the response when comforting the newborn, the non-biological visual directional response effect, the non-biological audio directional response effect, and the biological audio visual directional response ability. Further, the active muscle tone assessment module includes the active contraction capacity of the cervical flexor and extensor muscles, the supporting reaction capacity, the hand holding capacity and the pulling reaction capacity. In particular, passive muscle tone assessment modules include an upper limb recoil test, a lower limb recoil test, a scarf characterization test, and a popliteal test. In addition, the raw reflex evaluation module includes a step/place response evaluation, a hug reflex evaluation, and a suck reflex evaluation.
Example 7
As a seventh embodiment of the present invention, in order to facilitate the user to perform the test evaluation on the neuromotor function of the child, the present invention sets a neuromotor function evaluation module, as shown in fig. 6 to 9, as a preferred embodiment, the neuromotor function evaluation module includes a 0-12 month neuromotor 20-item scoring information module and an analysis algorithm module, the 0-12 month neuromotor 20-item scoring information module is used for performing the test evaluation on the neuromotor function of the child, and the analysis algorithm module is used for analyzing and processing the test data. In this embodiment, the 20-term 0-12-month neural exercise scoring information module includes a general condition evaluation module, an abnormal posture and exercise evaluation module, an exercise development evaluation module, a joint activity evaluation test module, and a neural reflex evaluation module. The general condition evaluation module is used for testing and evaluating the general condition of the child; the abnormal posture and motion evaluation module is used for testing and evaluating the abnormal posture and motion of the child; the motion development evaluation module is used for testing and evaluating the motion development of the children; the joint activity degree evaluation module is used for testing and evaluating the joint activity degree of the child; the neural reflex evaluation module is used for testing and evaluating the neural reflex of the child. In this embodiment, the general situation evaluation module includes: reaction to the red ball, reaction to the face, reaction to the sound; further, the abnormal posture and motion evaluation module comprises: asymmetric stretching neck launch, continuous hand fist making, prone position; the exercise development evaluation module comprises: head control, lifting to seat control, independent sitting posture, turning over, active climbing and active hand grasping. Specifically, the joint motion degree evaluation module includes: scarf, adductor angle, popliteal angle, dorsiflexion angle of foot; the nerve reflex evaluation module is used for lateral support reflex, parachute reflex, vertical position suspension reflex and lateral position suspension reflex of the child.
In this embodiment, as shown in fig. 7, the neuromotor function testing module system is designed to be composed of the following parts: under the management of a login system, a user logs in an interface according to the authority of the user, the login system judges whether the information of the user is legal or not firstly, and after the information is verified, an administrator user can perform data maintenance and test question maintenance operation according to the identity category of the user; the ordinary user can perform the operations of question extraction, volume grouping, output and the like.
Further, the user logs in according to the identity information, creates a file with the user examination number as the file name under the system folder, extracts N examination questions with different question types from N different types of questions in the system question bank according to a random question extraction algorithm, stores the examination questions forming the user in the file named by the examination number 14, and sets the question extraction parameters as shown in fig. 8.
Specifically, the procedure of the test paper is described by taking the extraction questions of the single-item choice questions as an example, N1 single-item choice questions are shared in the document of the single-item choice question library dxztk. dbf, M1 test questions are randomly extracted from the document to form a new document dxz. dbf as test questions, and the algorithm flow is shown in fig. 9. In addition, the analysis algorithm module program is set as follows:
usingSystem；
usingSystem.Collections；
usingSystem.Collections.Generic；
usingSystem.Linq；
usingSystem.Text；
usingSystem.Threading.Tasks；
namespaceScore_Passing_Line
{
classProgram
{
staticvoidMain(string[]args)
{
console. WriteLine ("input 10 integers, values 0-100");
varinput＝Console.ReadLine()；
vararrInput＝input.Split(”)；
if(！arrInput.Any(ai＝>int.Parse(ai)<60))
{
console. writeline ("qualifying score: 60");
}
else
{
varpassArr＝newint[]{10,20,30,40,50,60,70,80,90,100}；
varpassLine＝0；
for(vari＝0；i<passArr.Length；i++)
{
varcount＝arrInput.Count(ai＝>int.Parse(ai)>＝passArr[i])；
if(count>＝6)
{
passLine＝passArr[i]；
}
}
console. WriteLine ("qualifying score:" + passLine);
}
it is worth noting that the analysis algorithm module includes a mean calculation, a geometric mean calculation, and a harmonic mean calculation.
Further, the calculation formula of the mean value of the non-grouped data in the mean value calculation is as follows:
the calculation formula of the average value of the grouped data is as follows:
further, the geometric mean is the root of the N-th power of the product of the N variable values, and the calculation formula is:
in the formula: g represents a geometric mean; indicating a continuous multiplication symbol.
Further, the harmonic mean is a mean obtained by averaging the reciprocal of the variable and then taking the reciprocal, and has two calculation forms of a simple harmonic mean and a weighted harmonic mean,
simple harmonic mean:
weighted harmonic mean:
in addition, after the user selects and enters the nerve motor function evaluation module, the nerve motor function of the child is tested and evaluated through the nerve motor function testing module, the tested data is analyzed and processed through the analysis algorithm module, the data is led into the microprocessor to be processed after the evaluation algorithm module and the analysis algorithm module calculate, and the data which is tested and evaluated is led out through the data leading-out module.
Example 8
As an eighth embodiment of the present invention, in order to facilitate information storage, as a preferred embodiment, as shown in fig. 10, the storage module includes a data import module, a cloud storage module, and a data printing module, the data import module is configured to import test data, the cloud storage module is configured to store the imported data in a cloud, and the data printing module is configured to print the imported data into a paper report. In the embodiment, a storage module is a centralized metadata cloud storage system, which is a typical asymmetric system, and in the system, a central metadata management server is adopted to be responsible for storage and processing of metadata, and query and modification requests, for example, in an HDFS system, the metadata management server is a name node Namenode, and meanwhile, a large number of data storage nodes are provided for parallel storage and access of client I/O data, each time a client performs an I/O operation on a data stream, metadata query needs to be performed on the metadata management server, and after the client obtains information such as physical positions of data blocks to be read and written, the client performs the I/O operation on the data directly between the client and the data storage nodes. The storage module of this embodiment imports the data of test through data import module when using, can save the data of leading-in to the high in the clouds through high in the clouds storage module, can also print into the paper report to the data of leading-in through data print module. The detection method for the brain development problem of children by combining Danver intelligent development screening and neuromotor function evaluation comprises the following steps:
s1: the user logs in the system through the identity information login module of the user login module and stores the login information through the identity information storage module;
s2: a doctor logs in the system through a doctor login module, the identity information of a user can be imported into the system through a data import module, and the information of the user can be inquired through a data search module;
s3: the system comprises a system adding module, a system managing module, a system login module, a system updating module and a system updating module, wherein an administrator logs in the system through the administrator login module, can add and update data in the system through the system adding module, and can manage and delete the data in the system through the system managing module;
s4: after logging in the system, a user selects a corresponding module for evaluation according to the age and clinical needs of children, and the evaluation comprises the following steps: a newborn evaluation module, a Danver intelligent development screening evaluation module, a neuromotor function evaluation module or the Danver intelligent development screening is combined with the neuromotor function evaluation module to carry out related tests;
s5: selecting a newborn evaluation (NBNA) module for the newborn with 0-28 days, and performing system test on the newborn through a behavior ability evaluation module, an active muscle tension evaluation module, a passive muscle tension evaluation module, an original reflection evaluation module, a consciousness evaluation module, a crying evaluation module and an activity evaluation module; analyzing the tested data through an analysis algorithm module;
s6: the method comprises the steps that 1-12 months children select a Danver intelligent development screening evaluation module, or a nerve motor function evaluation module containing 20-month nerve motor scoring information, or the Danver intelligent development screening containing 20-month nerve motor scoring information is combined with the nerve motor function evaluation module, through a month and clinical requirement selection module, the intelligent development testing module tests brain development conditions of the children, and the nerve motor function testing module tests nerve motor functions of the children; the test evaluation can be carried out independently or jointly, and the analysis algorithm module is used for analyzing and processing the test data;
s7: a child aged 1-6 should select a Danver intelligent development screening evaluation module and/or a neuromotor function evaluation module, the intelligent development and neuromotor function of the child is tested independently or jointly through the Danver intelligent development evaluation module and the neuromotor function evaluation module, and the tested data is analyzed and processed through an analysis algorithm module;
s8: after the evaluation algorithm module and the analysis algorithm module calculate, data are led into the microprocessor for processing, and data evaluated by testing are led out through the data leading-out module;
s9: the test data is imported through the data import module, and the imported data can be stored to the cloud end through the cloud end storage module;
s10: the data printing module can also print the imported data into a paper report.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (6)
1. Detection system in children brain development problem of screening integration neural motor function aassessment is developed to Danver intelligence, including the login module that is used for user's information to login, be used for the user to diagnose test module, be used for data storage's storage module and be used for the intelligent toolbox of testing, its characterized in that: the login module comprises a user login module for a user to login the system, a doctor login module for a doctor to login the system and an administrator login module for an administrator to login the system, the user login module comprises an identity information login module and an identity information storage module, the doctor login module comprises a data import module and a data search module, and the administrator login module comprises a system adding module and a system management module;
the identity information login module is used for registering and logging in identity information of a user;
the identity information storage module is used for storing the identity information registered and logged by the user;
the data import module is used for importing the identity information of the user into the system by a doctor;
the data searching module is used for inquiring the information of the user by the doctor;
the system adding module is used for adding and updating data in the system by an administrator;
the system management module is used for managing and deleting data in the system by an administrator; the test module comprises a Danver intelligent development screening evaluation module, a newborn evaluation module, a neuromotor function evaluation module, a microprocessor and a data export module;
the Danver intelligent development screening and evaluating module is designed based on an intelligent development screening reference table of children aged 0-6, and the Danver intelligent development screening and evaluating module is stored with information of the intelligent development screening reference table of children aged 0-6;
the neonate evaluation module is designed based on 20 behavioral nerve scoring methods of the neonate, and NBNA scoring method information is stored in the neonate evaluation module;
the neuromotor function evaluation module is designed based on 20 scoring methods of 0-12 months of neuromotor, and 20 scoring method information of 0-12 months of neuromotor is stored in the neuromotor function evaluation module;
the microprocessor consists of a plurality of customized board cards carrying Zynq-7000 chips, and each board card comprises storage equipment, I/O equipment, a power supply and a clock module besides Zynq;
the data export module is used for exporting the data of the test evaluation; the Danver intelligent development screening and evaluating module comprises a month selection module, an intelligent development testing module and an evaluation algorithm module;
the month selection module is used for selecting according to different months of the children and further outputting test items of different months;
the intelligent development testing module is used for testing the brain development condition of the children;
the evaluation algorithm module is used for analyzing and calculating the tested data; the intelligent development testing module comprises a motion testing module, a social adaptation testing module and an intelligence testing module;
the motion testing module is used for testing the motion function of the child;
the social adaptation testing module is used for testing the social adaptation capability of the children;
the intelligence test module is used for testing the intelligence of the children;
the evaluation algorithm module comprises a Lagrange interpolation method, and the formula is as follows:
two points are performed once:
three points are carried out twice:
specifically, the evaluation algorithm module further comprises a newton interpolation method, and the formula is as follows:
n-degree Newton's polynomial:
Nn(x)＝f(x0)+f[x0，x1](x-x0)+…+f[x0，x1，...xn](x-x0)...(x-xn-1)
wherein ω isn+1(x)＝(x-x0)(x-x1)...(x-xn-1)
When the Danver intelligent development screening and evaluating module is operated, a user selects and enters the Danver intelligent development screening and evaluating module, the month selecting module selects according to different months of the child, the intelligent development testing module tests the brain development condition of the child, and the evaluating algorithm module analyzes and calculates the tested data.
2. The detection system for danver intelligent development screening combined with neuromotor function assessment in children brain development problems as claimed in claim 1, wherein: the newborn evaluation module comprises an NBNA scoring method information module and an analysis algorithm module;
the NBNA scoring method information module is used for evaluating the behavioral nerves of the neonate;
the analysis algorithm module is used for analyzing and processing the tested data.
3. The detection system for danver intelligent development screening combined with neuromotor function assessment in children brain development problems as claimed in claim 2, wherein: the NBNA scoring method information module comprises a behavior ability evaluation module, an active muscle tension evaluation module, a passive muscle tension evaluation module, an original reflection evaluation module, a consciousness evaluation module, a crying evaluation module and an activity evaluation module;
the behavioral ability assessment module is used for testing and assessing the behavioral ability of the newborn;
the active muscle tone evaluation module is used for performing test evaluation on active muscle tone of the newborn;
the passive muscle tension evaluation module is used for performing test evaluation on the passive muscle tension of the newborn;
the original reflection evaluation module is used for testing and evaluating the original reflection of the neonate;
the arousal evaluation module is used for carrying out test evaluation on the arousal of the newborn;
the crying evaluation module is used for testing and evaluating the crying condition of the newborn;
the activity evaluation module is used for testing and evaluating the activity condition of the newborn.
4. The detection system for danver intelligent development screening combined with neuromotor function assessment in children brain development problems as claimed in claim 1, wherein: the neuromotor function evaluation module comprises a neuromotor function test evaluation module and an analysis algorithm module, wherein the neuromotor function test evaluation module is used for evaluating 20-month neuromotor scoring method information;
the nerve motor function test and evaluation module is used for testing and evaluating the nerve motor function of the child;
the analysis algorithm module is used for analyzing and processing the tested data.
5. The detection system for Danver intelligent development screening combined with neuromotor function assessment in children brain development problems as claimed in claim 4, wherein: the nerve motor function evaluation module comprises a general condition evaluation module, an abnormal posture and motion evaluation module, a motion development evaluation module, a joint activity degree evaluation module and a nerve reflex evaluation module;
the general condition evaluation module is used for testing and evaluating the general condition of the child;
the abnormal posture and motion evaluation module is used for testing and evaluating the abnormal posture and motion of the child;
the motion development evaluation module is used for testing and evaluating the motion development of the children;
the joint activity degree evaluation module is used for testing and evaluating the joint activity degree of the child;
the neural reflex evaluation module is used for testing and evaluating the neural reflex of the child.
6. The detection system for danver intelligent development screening combined with neuromotor function assessment in children brain development problems as claimed in claim 1, wherein: the storage module comprises a data import module, a cloud storage module and a data printing module;
the data import module is used for importing tested data;
the cloud storage module is used for storing the imported data to a cloud;
the data printing module is used for printing the imported data into a paper report.
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| CN107564585A (en) * | 2017-07-06 | 2018-01-09 | 四川护理职业学院 | Brain palsy recovery management system and method based on cloud platform |
| CN108172294A (en) * | 2017-12-28 | 2018-06-15 | 济南尚健信息技术有限公司 | A kind of children's comprehensive development management application platform based on internet |
| CN108665970A (en) * | 2018-05-15 | 2018-10-16 | 天津摩嵌动力技术有限公司 | A kind of digital medical health monitoring systems based on network integration of services |
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| CN107564585A (en) * | 2017-07-06 | 2018-01-09 | 四川护理职业学院 | Brain palsy recovery management system and method based on cloud platform |
| CN108172294A (en) * | 2017-12-28 | 2018-06-15 | 济南尚健信息技术有限公司 | A kind of children's comprehensive development management application platform based on internet |
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