Acoustic Milk Fat Content Detection in Breast Pumps
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Solution Overview
Problem
Current breast pump devices cannot effectively distinguish between foremilk and hindmilk during a pumping session, making it difficult for users to collect these milk types separately based on their fat content, as visual differentiation is impractical.
Innovation Solution
A breast pump device equipped with an acoustic milk expression assessment system that uses an acoustic sensor to detect the sound of milk droplets hitting a surface, analyzing the acoustic signal to estimate the fat content of milk, allowing for real-time indication of the transition from foremilk to hindmilk without chemical analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection is used to distinguish foremilk and hindmilk, then the method is simple and quick, but it cannot effectively differentiate between the two milk types due to similar appearance
Solution Approach 1:
The patent replaces visual inspection with acoustic detection. An acoustic sensor detects the sound frequency of milk droplets falling into a receptacle, and a processor analyzes this acoustic signal to determine fat content. This substitutes a mechanical/optical detection method with an acoustic field-based method, enabling precise fat content differentiation without complex visual analysis systems.
Solution Approach 2:
The patent introduces acoustic signal as an intermediary to indirectly measure fat content. Instead of directly observing milk properties, the system uses the acoustic characteristics of falling droplets as a mediator that carries information about fat content, which is then processed to provide real-time feedback on foremilk versus hindmilk.
2Measurement precision
If chemical analysis is used to determine fat content, then measurement precision is high, but the process is time-consuming and complex
Solution Approach 1:
The patent replaces chemical analysis methods with acoustic signal analysis. Instead of using time-consuming chemical reagents and procedures, the system uses an acoustic sensor to capture sound frequencies and a processor to analyze these signals, providing real-time fat content determination without chemical involvement.
Solution Approach 2:
The milk droplets themselves provide the measurement information through their acoustic characteristics when falling. The system requires no external chemical agents or complex preparation - the milk's own physical properties (density, viscosity, surface tension) manifest as acoustic signals that can be directly analyzed for fat content.
3Adaptability or versatility
If real-time fat content monitoring is implemented, then users can collect foremilk and hindmilk separately, but the device complexity increases
Solution Approach 1:
The acoustic sensor and processor serve multiple functions: they detect droplet fall sounds, analyze acoustic signals for fat content, provide real-time feedback, and enable users to differentiate and collect foremilk and hindmilk separately. This multi-functionality reduces the need for separate detection and analysis systems.
Solution Approach 2:
The system provides real-time feedback to users about the fat content of expressed milk through acoustic analysis. This feedback loop allows users to immediately adjust their collection process, knowing whether they are collecting foremilk or hindmilk, thereby enabling flexible milk management without complex pre-planning.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables users to collect foremilk and hindmilk separately by providing real-time feedback on fat content, facilitating more natural feeding and potentially aiding in mastitis screening and treatment monitoring.
Implementation Method 1
the sound of an event of the liquid droplet hitting a surface of the quantity of the milk is detected so as to obtain an acoustic signal of the event
Data Source
AI summary
A breast pump device (1) is equipped with or used in conjunction with an acoustic milk expression assessment system (6) for the purpose of obtaining an indication about a fat content of expressed milk. The acoustic milk expression assessment system (6) includes an acoustic sensor (61) and a processor (62) configured to process an acoustic signal received from the acoustic sensor (61) during operation of the breast pump device (1) when a milk receptacle (4) is used with the device (1). By recording sound during a pumping session, it is possible to determine a frequency shift in the sound of droplets falling down in the receptacle (4) and hitting a surface of the milk contained by the receptacle (4) with respect to a reference situation of a liquid having 0% fat content, which can be taken as a factor in estimating a value related to the fat content of the milk.