Evaluation system with infant development lag traceability and method thereof

Abstract

The invention relates to the technical field of infant development evaluation, and particularly discloses an evaluation system with infant development lag traceability based on equivalent development time and a method thereof. An existing evaluation method has the problems of evaluation fragmentation, difficulty in lagging traceability, insufficient intervention pertinence, complex operation and the like. According to the system, automation and precision of infant development evaluation are realized through multi-dimensional data acquisition, intelligent analysis and a traceability engine, and a targeted intervention scheme is deduced through traceability. And the data acquisition module is used for acquiring exercise data through wearable equipment and acquiring breeding data through environment logs. And an equivalent development time scale: analyzing data, establishing an evaluation database, identifying a development squeezing relationship, and reversely deducing a lagging root by using a brain development theory and environmental information. And the traceability engine is used for generating a personalized development plan according to a traceability result, including primary implementation, secondary implementation and avoidance implementation, and dynamically adjusting an intervention scheme.

Description

Technical Field

[0001] This invention relates to the field of infant and toddler development assessment technology, specifically to an assessment system and method for tracing the causes of developmental delays in infants and toddlers. Background Technology

[0002] Early childhood development has a crucial impact on lifelong growth, but traditional assessment methods often focus on single abilities (such as language or motor skills), neglecting the time constraints and synergistic nature of ability development, and failing to reveal the root causes of delayed abilities. After a routine assessment provides a conclusion, tracing the root cause of the delay is difficult. Ability delays are often caused by insufficient development of key early abilities (such as proneness and crawling) and unfavorable caregiving environments, but traditional assessments lack tools for developmental timeline correlation analysis and brain development analysis, making it difficult to trace the fundamental cause. The lack of targeted solutions easily leads to interventions that are out of touch with actual needs.

[0003] Conventional assessment systems are not user-friendly. Existing assessment methods are mainly designed for medical personnel, and are complex and time-consuming. Common assessment systems such as ASQ and G-SELL take more than 4 hours to complete, testing every ability point evenly without prioritizing any. The main purpose of conventional assessments is to obtain scores, without addressing the correlation, derivation, and cross-validation of assessment content, which is not conducive to their routine implementation in childcare settings such as daycare centers. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide an assessment system and method for tracing the developmental delays of infants and young children, addressing the shortcomings of the existing technology.

[0005] This invention discloses an assessment system and method for tracing the causes of developmental delays in infants and toddlers. The system includes a data acquisition module, an equivalent developmental time scale, and a delay tracing engine, enabling automated and precise assessment of developmental delays in infants and toddlers, and deriving targeted intervention programs through tracing the causes. (See also...) Figure 1 .

[0006] The data acquisition module includes a sensor group that collects motion data (such as rolling over, crawling frequency, sitting time, and heart rate index) in real time through wearable devices (such as smart bracelets, diaper sensors, and foot sensors) to record behavioral observations. Combined with video analysis and manual annotation, it records behavioral performance such as movement, cognition, language, social interaction, and emotions.

[0007] The data collection module includes an environmental log, which synchronously collects data on the care environment (such as the duration of electronic product use, adoption time, exercise time in the childcare center, outdoor activity time, and environments with elevation differences and spatial exploration).

[0008] The equivalent developmental time scale includes age stages and is used to record infant developmental characteristics and verify ability relationships. (See also...) Figure 2 Early development of infants and toddlers takes time; they have approximately 10,000 hours of available activity time between the ages of 0 and 3. Different abilities exhibit both a crowding-out effect (e.g., crawling versus being held) and a synergistic effect (e.g., crawling versus coordination).

[0009] The equivalent developmental time scale is divided into five age groups: 3-6 months, 7-14 months, 15-24 months, 25-30 months, and 31-36 months, with a total of 20 main items and 20 sub-items.

[0010] Each month stage is assessed on average with four main items (such as crawling on hands and knees, Babinski reflex, spinal Grant reflex, and visual tracking). The main items represent the key developmental achievements at the current month stage, and each item is recorded in three grades: A, B, and C.

[0011] Each month-old stage is assessed on average with four sub-items (such as postural reflexes, balance, proprioception, and touch). These sub-items serve as a baseline control ability to verify the developmental correlation of the primary ability and thus quickly pinpoint the source of developmental delays.

[0012] The equivalent development time scale includes a time mapping of ability development. Based on the theory of early brain development in infants and young children and neuroscience theory, it establishes an equivalent time threshold table for core abilities (such as prone, crawling, visual tracking, spatial exploration, and language), and defines the standard development time range and cumulative investment for each ability in the 0-3 year stage.

[0013] The mapping, through time series analysis, identifies the crowding-out effect of advanced development capabilities (such as early language training and early learning) on ​​key implementation capabilities (such as motor skills).

[0014] The mapping is used to verify the continuity of development: verifying whether the development of abilities conforms to the sequential developmental pattern of the brain (e.g., medulla oblongata → brainstem → cerebellum → cerebral lobe), and detecting the lag in the transfer of key reflexes (e.g., ATNR, STNR, TLR, spinal Grant reflex, startle reflex).

[0015] The lagging tracing engine includes a causal reasoning model, parenting behavior correlation analysis, and intervention suggestion generation.

[0016] The causal reasoning model, based on theories of brain development and sensory integration, constructs a causal map of ability lag and its root causes. (See [reference needed]). Figure 3 For example: delayed language development → insufficient temporal lobe stimulation → weak visual tracking → insufficient time for ball games and outdoor play. Deduce the causal relationship between delayed brain development.

[0017] The parenting behavior association analysis correlates environmental data (such as sedentary behavior and feeding) with capacity lag, identifies avoidance behaviors (such as overprotection and restriction of exploration) that crowd out key implementation behaviors, and deduces the causal relationship of the parenting behaviors that cause lag.

[0018] The intervention recommendations are generated, personalized development plans are formulated, and based on the source tracing results, capability enhancement programs based on equivalent development time are generated, including primary implementation (e.g., 2 hours of crawling per day), secondary implementation (e.g., language environment optimization), and avoidance implementation (e.g., limiting electronic products). A dynamic adjustment mechanism is implemented: through continuous data collection, the intervention effect is evaluated in real time and the plan is adjusted.

[0019] Beneficial effects.

[0020] The advantages of this invention lie in its data acquisition module, which combines an equivalent developmental time scale to deduce infant and toddler developmental abilities from environmental factors; and its assessment of the primary and secondary items of the equivalent developmental time scale, which deduces infant and toddler developmental abilities from brain development factors. Through a source-tracing engine, it identifies the root causes of developmental delays based on environmental and brain development factors, ensuring that the evaluation process not only assesses but also identifies the sources of developmental delays. The evaluation content focuses on the core of development, enabling routine and consistent implementation. Attached Figure Description

[0021] Figure 1 This invention comprises an assessment system and method for tracing the developmental delays in infants and young children.

[0022] Figure 2 This invention relates to the main implementation, secondary implementation, and avoidance implementation of the equivalent developmental time described in the assessment system and method for tracing the developmental delays in infants and young children.

[0023] Figure 3 This invention relates to the reasoning engine model of an assessment system and method for tracing the developmental delays of infants and young children.

[0024] Figure 4 This is an example of the equivalent developmental time assessment described in the present invention, which is an assessment system and method for tracing the developmental delays of infants and young children. Detailed Implementation

[0025] The present invention will be further described below with reference to embodiments, but this does not constitute any limitation on the present invention. Any limited modifications made by any person within the scope of the claims of the present invention are still within the scope of the claims of the present invention.

[0026] In this example, the child is female and the initial assessment age is 6 months.

[0027] Data acquisition and preprocessing involves simultaneously acquiring sensor data and environmental logs. Data cleaning includes removing noise (such as sensor errors and differing definitions of the environment by parents) and standardizing the data (e.g., uniform time granularity and setting equivalent time coefficients for different age groups).

[0028] The valid data after preprocessing are: frequent holding, wearing many clothes, frequently wearing gloves, lack of motor skills, frequent use of electronic products, and needing to be fed.

[0029] For the equivalent development time scale assessment, please refer to [reference needed]. Figure 4 Marking delayed abilities. Time-limited analysis showed that at the initial assessment of 6 months, all abilities except the startle reflex and lactation reflex were delayed, consistent with preprocessing data. Key reinforcement should be implemented, recommending core ability training, starting with tummy time and rolling over exercises.

[0030] Reflex transfer verification: By analyzing movement patterns (such as rolling quality), we determined whether ATNR, STNR, and other reflexes were transferring normally. After one month of practice, the body mapping ability was positive at 7 months of age, indicating that ATNR had begun to transfer. The associated ability should be rolling over, and the subsequent month of follow-up confirmed that the rolling over ability had developed to A level at 7 months of age. With the development of support strength and rolling over skills, the transfer of TLR and STNR was completed, and the ability to crawl on hands and knees also began to appear at 8 months of age.

[0031] Tracing the developmental delays, this example shows a decline in crawling ability on hands and knees at 13 months of age. The main reason is that parents assist the child in learning to walk, reducing crawling time, which is also consistent with a decline in the spinal Grant reflex. At 15 months of age, tool use ability is rated B+ and proprioception is negative, which are mutually exclusive. Home visits revealed that grandparents often help the child sit and play tabletop games for extended periods, exercising hand-tool skills, but restricting gross motor skills. This indicates that excessive avoidance of intervention has squeezed out the main intervention.

[0032] Intervention recommendations: The primary focus is on orderly implementation. Insufficient practice of crawling on hands and knees can limit the development of higher brain functions; therefore, prioritize training up to level A, with daily crawling time exceeding 2 hours. Encourage self-feeding and develop proprioception and good self-care abilities. Secondary optimizations include adjusting strategies for developing non-critical abilities and delaying language training. Eliminate avoidance behaviors, avoid parenting pitfalls, refrain from providing assistance or environmental conveniences for walking, and limit electronic device use to less than 30 minutes at a time.

[0033] The technical principle of this invention is: combining environmental factors and brain development theory, tracing the causes of developmental delays based on the principle of equivalent developmental time, dynamically monitoring the development of infants' and toddlers' abilities, creating a growth profile of infants and toddlers, and generating targeted intervention suggestions.

[0034] When an infant's or toddler's abilities become abnormal, it can be verified or investigated by linking these abilities, and environmental data can be combined to pinpoint the cause of the lag and provide targeted treatment.

[0035] This invention also has a self-checking capability. If the analysis is incorrect, then the capability will not develop accordingly, and there may even be a regression in the capability.

[0036] The above description is only a preferred embodiment of the present invention. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of the present invention, and these will not affect the effectiveness of the implementation of the present invention or the practicality of the patent.

Claims

1. An assessment system and method for tracing the causes of developmental delays in infants and young children, characterized in that, Includes: a data acquisition module for synchronously collecting infants' and toddlers' movement data and care environment data; and an equivalent developmental time scale for establishing the time constraints and synergistic relationships of infants' and toddlers' ability development, and recording the main and secondary assessment content for each age group. The Lag Engine is used to analyze the causes of lag in abilities and generate intervention suggestions based on brain development theories and environmental data.

2. The evaluation system according to claim 1, characterized in that, The data acquisition module includes a sensor group and an environmental log. The sensor group collects motion data in real time through wearable devices, and the environmental log collects nurturing environment data synchronously.

3. The evaluation system according to claim 1, characterized in that, The equivalent developmental time scale is divided into five stages according to age: 3-6 months, 7-14 months, 15-24 months, 25-30 months, and 31-36 months. Each stage includes a primary item assessment and a secondary item assessment. The primary item assessment is used to record the main implementation content of development at the current age, and the secondary item assessment is used to verify the correlation between the development of the primary item and the development of the secondary item.

4. The evaluation system according to claim 1, characterized in that, The delayed source tracing engine includes a causal reasoning model, parenting behavior correlation analysis, and intervention suggestion generation. The causal reasoning model constructs a causal map of delayed abilities and root causes based on brain development theory. The parenting behavior correlation analysis links environmental data with delayed abilities and identifies avoidance behaviors. The intervention suggestion generation formulates personalized development plans based on the source tracing results and uses a dynamic adjustment mechanism to evaluate the intervention effect and adjust the plan in real time.

5. A method for tracing the developmental delays in infants and young children based on the assessment system described in any one of claims 1-4, characterized in that, The process includes the following steps: Data acquisition and preprocessing: synchronously acquiring sensor data and environmental logs, and performing data cleaning and standardization; Equivalent development time scale assessment: analyzing data, establishing an assessment database, identifying developmental gaps, and using brain development theory and environmental information to inversely deduce the root causes of developmental lag; Tracing the sources of developmental lag: generating personalized development plans based on the tracing results, including primary implementation, secondary implementation, and avoidance implementation; Intervention suggestion generation: formulating personalized development plans and implementing a dynamic adjustment mechanism.

6. The method according to claim 5, characterized in that, In the equivalent development time scale assessment step, time series analysis is used to identify the crowding-out effect of advanced development capabilities on the main implementation capabilities, and to verify whether capability development conforms to the sequential development law of the brain.

7. The method according to claim 5, characterized in that, In the intervention suggestion generation step, the generated personalized development plan includes primary implementation of daily training, secondary implementation of encouraging development, and avoidance implementation of restrictive behaviors.

8. The method according to claim 5, characterized in that, The dynamic adjustment mechanism continuously collects data, evaluates the intervention effect in real time, and adjusts the plan to ensure that the development of infants and young children's abilities conforms to the standard development time range of the equivalent development time scale.

9. The method according to claim 5, characterized in that, The method also includes: when an infant's ability is abnormal, verifying or investigating by associating the ability, and combining environmental data to pinpoint the cause of the lag, and generating targeted intervention suggestions.

10. The method according to claim 5, characterized in that, The method also has a self-checking capability. If the analysis is incorrect, the capability will not develop accordingly, and may even regress further. In this case, the system will re-analyze the data and generate intervention suggestions.

Images