CN-121999798-A - Nursing teaching support system and method based on infant language vocabulary library

CN121999798ACN 121999798 ACN121999798 ACN 121999798ACN-121999798-A

Abstract

The invention relates to a nursing teaching support system and a method based on an infant language vocabulary library, and relates to the technical field of data processing, wherein the system comprises an intelligent high-fidelity audio acquisition module, a background noise filtering module and a data processing module, wherein the intelligent high-fidelity audio acquisition module is used for acquiring an original audio signal of an infant in real time in a nursing teaching or simulation training environment, and filtering the original audio signal to obtain a pure bioacoustic signal; the system comprises a crying front sounding micro-feature extraction module used for forming a multidimensional acoustic feature vector, a dynamic infant language standardized vocabulary library module used for obtaining an acoustic semantic resonance index, a demand type and emergency degree corresponding to each type of physiological demand, a teaching aid decision and feedback module used for calculating a perception deviation of a judgment result and generating hierarchical teaching prompt information, and a multidimensional visual teaching interaction module used for generating a quantitative evaluation report of the early infant demand pre-judging ability of a learner. The system can improve the effect of infant care teaching support.

Inventors

ZHOU YANLI
ZHOU MING
DU PINGPING

Assignees

南方医科大学

Dates

Publication Date: 20260508
Application Date: 20260320

Claims (10)

1. A nursing teaching support system based on an infant language vocabulary library, the system comprising: The intelligent high-fidelity audio acquisition module is used for acquiring original audio signals of infants in real time in a nursing teaching or simulation training environment, and performing background noise filtering processing on the original audio signals to obtain pure bioacoustic signals; the cry-before-sound-production micro-feature extraction module is used for intercepting micro sound-production stage signals of the infant before crying according to the bioacoustic signals, and extracting mel frequency cepstrum coefficients, pitch, duration and energy envelope features of the micro sound-production stage signals to form a multidimensional acoustic feature vector; The dynamic infant language standardized vocabulary library module is used for carrying out matching calculation on the multidimensional acoustic feature vector and standard acoustic modes of multiple types of physiological demands of the infant to obtain an acoustic semantic resonance index, and the type of the demands and the degree of urgency corresponding to each type of physiological demands; The teaching aid decision-making and feedback module is used for performing standard comparison analysis with a judgment result input by a learner according to the demand type and the emergency degree of the physiological demand of the infant, calculating the perception deviation of the judgment result and generating hierarchical teaching prompt information; And the multidimensional visual teaching interaction module is used for visually comparing and displaying the micro-sounding stage signals with the standard acoustic modes and generating a quantitative evaluation report of the early-stage infant requirement pre-judging ability of the student based on the history learning data of the student.
2. The infant language vocabulary based nursing teaching support system of claim 1 wherein the smart high-fidelity audio acquisition module is further configured to: Synchronously acquiring audio signals in different spatial directions according to the multichannel microphone array to obtain multi-source original audio data; Performing space positioning and sound source separation processing according to the multi-source original audio data to obtain a target infant sounding signal; and performing self-adaptive noise reduction and gain compensation processing on the target infant sounding signal to obtain the stable bioacoustic signal.
3. The infant language vocabulary base based nursing teaching support system of claim 2 wherein the crying pre-sound micro-feature extraction module is further configured to: Performing continuous time window segmentation processing according to the bioacoustic signals to obtain candidate sounding fragment sequences; identifying a micro-sounding interval before crying and explosion according to the candidate sounding fragment sequence to obtain a target micro-sounding section; and executing multi-scale acoustic analysis according to the target micro-sounding section to generate the standardized multi-dimensional acoustic feature vector.
4. The infant language vocabulary based care teaching support system of claim 3 wherein the dynamic infant language normalization vocabulary library module is further configured to: Establishing a standard acoustic mode label set according to a preset physiological demand classification rule to obtain a demand category index; carrying out statistics, learning and updating on the standard acoustic modes according to the history labeling sample to obtain a dynamically optimized reference mode library; And carrying out similarity analysis on the multi-dimensional acoustic feature vector and the reference modal library according to the requirement category index, and outputting a requirement type judging result.
5. The infant language vocabulary based care teaching support system of claim 4 wherein the dynamic infant language normalization vocabulary library module is further configured to: performing reliability correction on the reference mode according to the environmental noise level of the current teaching scene to obtain environment adaptation mode data; Adjusting the matching weight of each demand category according to the environment adaptation modal data to obtain dynamic matching parameters; and generating an emergency degree assessment result corresponding to the requirement type according to the dynamic matching parameters.
6. The infant language vocabulary based care teaching support system of claim 5 wherein the teaching aid decision and feedback module is further configured to: acquiring corresponding standard care decision information according to the requirement type identified by the system to obtain a standard judgment result; performing difference analysis according to the standard judgment result and the input judgment of a learner to obtain perception deviation data; And generating a hierarchical teaching feedback strategy according to the perception deviation data.
7. The infant language vocabulary based care teaching support system of claim 6 wherein the teaching aid decision and feedback module is further configured to: Establishing a learning ability model according to the history learning data of the students to obtain the capability level of the students; adjusting the teaching prompt strength according to the capability level of the student to obtain personalized feedback parameters; And outputting nursing teaching guide information corresponding to the difficulty according to the personalized feedback parameters.
8. The infant language vocabulary based care teaching support system of claim 7 wherein the multi-dimensional visual teaching interaction module is further configured to: Generating time-frequency spectrogram data according to the micro-sounding stage signals; according to the time-frequency spectrogram data, synchronous superposition display is carried out on the time-frequency spectrogram data and a standard acoustic mode, and a contrast visual interface is obtained; and updating the learning process data set according to the interactive operation record of the student on the comparison visual interface.
9. The infant language vocabulary based care teaching support system of claim 7 wherein the multi-dimensional visual teaching interaction module is further configured to: Counting the recognition accuracy and response time of the students according to the learning process data set to obtain learning evaluation indexes; constructing a capability change trend curve according to the learning evaluation index to obtain a learning growth track; And generating the quantitative evaluation report of early infant demand pre-judging ability according to the learning growth track.
10. A nursing teaching support method based on an infant language vocabulary library, the method comprising: collecting an original audio signal of an infant in real time in a nursing teaching or simulation training environment, and filtering the background noise of the original audio signal to obtain a pure bioacoustic signal; Intercepting a micro-sounding stage signal of the infant before crying according to the bioacoustic signal, and extracting a mel frequency cepstrum coefficient, pitch, duration and energy envelope characteristic of the micro-sounding stage signal to form a multidimensional acoustic characteristic vector; Matching and calculating the multidimensional acoustic feature vector with standard acoustic modes of multiple types of physiological demands of the infants to obtain acoustic semantic resonance indexes, and the type of the demands and the emergency degree corresponding to each type of physiological demands; Performing standard comparison analysis with a judgment result input by a learner according to the demand type and the emergency degree of the physiological demand of the infant, calculating the perception deviation of the judgment result and generating hierarchical teaching prompt information; and visually comparing and displaying the micro-sounding stage signals with the standard acoustic mode, and generating a quantitative evaluation report of the early-stage requirement pre-judging ability of the student based on the history learning data of the student.

Description

Nursing teaching support system and method based on infant language vocabulary library Technical Field The invention relates to the technical field of data processing, in particular to a nursing teaching support system and method based on an infant language vocabulary library. Background Today, in the field of neonate and mother-infant care teaching, the ability of caregivers to identify infant needs is considered as one of the core teaching contents. Because the young month-old infants of 0-3 months have not formed complete language expression capability, physiological and emotional demands are mainly transmitted through crying, pre-crying sounding and different types of tone changes. The existing nursing teaching generally adopts the modes of text teaching material explanation, standardized video demonstration, scene simulation training, teacher experience teaching and the like to guide students to judge the hunger, drowsiness, discomfort or pain and other states of infants by observing facial expression, limb actions and crying differences. In some institutions or training institutions, a recording case library or a simple audio playing device is also introduced, so that a learner can repeatedly listen to different types of baby crys to strengthen the perception capability. However, the existing teaching mode mainly relies on subjective experience summary and static case display of teachers, lacks support of a systematic and structured infant sound classification system, and is difficult to form a standardized infant language vocabulary library model. Meanwhile, most of traditional recording or video data are results of crying samples, and early sounding signals in the stage before crying are less covered, so that early predictive ability training of students on infant needs is insufficient. Disclosure of Invention Aiming at the technical problems in the prior art, the invention provides a nursing teaching support system and a nursing teaching support method based on an infant language vocabulary library, which can improve the effect of nursing teaching support of infants. The technical scheme for solving the technical problems is as follows: The invention provides a nursing teaching support system based on an infant language vocabulary library, which comprises: The intelligent high-fidelity audio acquisition module is used for acquiring original audio signals of infants in real time in a nursing teaching or simulation training environment, and performing background noise filtering processing on the original audio signals to obtain pure bioacoustic signals; the cry-before-sound-production micro-feature extraction module is used for intercepting micro sound-production stage signals of the infant before crying according to the bioacoustic signals, and extracting mel frequency cepstrum coefficients, pitch, duration and energy envelope features of the micro sound-production stage signals to form a multidimensional acoustic feature vector; The dynamic infant language standardized vocabulary library module is used for carrying out matching calculation on the multidimensional acoustic feature vector and standard acoustic modes of multiple types of physiological demands of the infant to obtain an acoustic semantic resonance index, and the type of the demands and the degree of urgency corresponding to each type of physiological demands; The teaching aid decision-making and feedback module is used for performing standard comparison analysis with a judgment result input by a learner according to the demand type and the emergency degree of the physiological demand of the infant, calculating the perception deviation of the judgment result and generating hierarchical teaching prompt information; And the multidimensional visual teaching interaction module is used for visually comparing and displaying the micro-sounding stage signals with the standard acoustic modes and generating a quantitative evaluation report of the early-stage infant requirement pre-judging ability of the student based on the history learning data of the student. Optionally, the intelligent high-fidelity audio acquisition module is further configured to: Synchronously acquiring audio signals in different spatial directions according to the multichannel microphone array to obtain multi-source original audio data; Performing space positioning and sound source separation processing according to the multi-source original audio data to obtain a target infant sounding signal; and performing self-adaptive noise reduction and gain compensation processing on the target infant sounding signal to obtain the stable bioacoustic signal. Optionally, the crying front sounding micro-feature extraction module is further configured to: Performing continuous time window segmentation processing according to the bioacoustic signals to obtain candidate sounding fragment sequences; identifying a micro-sounding interval before crying and explosion according to the candidat