FETAL AUDITORY FUNCTIONALITY ASSESSMENT

Fetal Auditory Functionality Assessment is an innovative approach designed to analyze fetal
heartbeat signals in order to evaluate auditory responsiveness during prenatal development.
This study utilizes a curated dataset of fetal heartbeat recordings to identify patterns that may
indicate fetal responses to auditory stimuli. Advanced signal processing and machine learning
techniques are applied to extract significant features such as frequency variation, amplitude
stability, and temporal rhythm patterns from the collected data. The proposed system
demonstrates an overall accuracy of 80% in distinguishing between normal fetal heartbeat
patterns and those potentially associated with auditory responsiveness. A key contribution of
this research is the development of a dynamic auditory response inference model, which
interprets subtle variations in fetal heartbeat rhythms as indicators of possible auditory
reactions rather than relying solely on static signal classification methods. This adaptive
model enables a more flexible and near real-time interpretation of fetal sensory functionality.
The system aims to support healthcare professionals in the early identification of potential
auditory-related developmental concerns, providing a non-invasive and efficient assessment
framework. Overall, this research contributes to the advancement of prenatal monitoring by
integrating intelligent data analysis with biomedical signal processing, thereby supporting
improved fetal health diagnostics and facilitating early intervention strategies