Systems and methods for assessing feeding maturity
The method and system objectively assess preterm infants' feeding maturity by analyzing acoustic and breathing patterns, addressing the limitations of current subjective and invasive methods, enhancing feeding skills and reducing respiratory risks.
Patent Information
- Application Number
- JP2025184172
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2020-01-31
- Filing Date
- 2025-10-31
- Publication Date
- 2026-03-04
AI Technical Summary
Current methods for assessing feeding maturity in preterm infants are subjective, invasive, or impractical, leading to feeding disorders, respiratory issues, and growth retardation, with no clinically proven and reliable devices for objective measurement.
A method and system that measures acoustic responses and breathing patterns during swallowing cycles using a peak and valley model to determine feeding maturity by analyzing swallowing and breathing data, employing sensors and machine learning algorithms for accurate detection of swallowing events.
Provides a reliable and objective assessment of feeding maturity in preterm infants, reducing respiratory risks and promoting growth by accurately identifying swallowing and breathing patterns, thereby improving feeding skills.
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