Incubator Noise Cancellation With Infant Cry Analysis
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Solution Overview
Problem
In neonatal intensive care units (NICUs), high noise levels can disrupt infant development and bonding opportunities between infants and caregivers, and existing noise reduction technologies are inadequate for accurately interpreting infant cries, which are crucial for communication and medical diagnosis.
Innovation Solution
An electronic enclosure with a noise cancellation system using adaptive noise control and a communication module that processes infant voice signals to identify characteristics, incorporating error microphones, reference sensing units, and sound analyzers to reduce noise and interpret vocal cues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If noise cancellation system is implemented in incubator, then noise level is reduced, but device complexity increases
Solution Approach 1:
The noise cancellation system is divided into separate functional modules: reference microphones for noise detection, error microphones for residual noise measurement, signal processing units for adaptive filtering, and speakers for anti-noise generation. This modular segmentation allows the complex noise cancellation function to be implemented through coordinated simple components, reducing overall system complexity while maintaining effectiveness.
Solution Approach 2:
The patent introduces intermediate processing components including adaptive filters and signal processors that act as mediators between the microphones and speakers. These intermediaries process the noise signals through mathematical operations (adaptive filtering) to generate appropriate anti-noise signals, thereby managing the complexity of the noise cancellation process through structured intermediate steps rather than direct complex processing.
2Measurement precision
If communication module with sound analyzer is added, then infant cry interpretation capability is improved, but device complexity increases
Solution Approach 1:
The error microphones serve dual functions: they measure residual noise for the active noise control system and simultaneously capture infant cry signals for communication analysis. The signal processing system performs multiple tasks including noise cancellation, cry detection, and sound analysis. This multi-functionality reduces the need for separate dedicated components, thereby limiting the increase in device complexity while improving cry interpretation capability.
Solution Approach 2:
The communication module is merged with the existing noise cancellation system, sharing common components such as microphones, signal processing units, and speakers. The sound analyzer is integrated into the existing control architecture, allowing cry interpretation to be performed using the same hardware infrastructure already present for noise management, thus minimizing additional complexity.
3Reliability
If multiple microphones and sensors are used for noise control, then noise reduction effectiveness is improved, but device complexity increases
Solution Approach 1:
Different microphones are positioned at specific locations within the incubator: reference microphones are placed near noise sources (ventilation outlets, walls) to capture incoming noise, while error microphones are positioned near the infant to measure residual noise and cry signals. This localized placement optimizes the performance of each sensor for its specific function, improving noise reduction effectiveness while using a minimal number of strategically positioned components.
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
The system effectively reduces noise levels and interprets infant cries, enhancing bonding and providing a diagnostic tool for medical conditions, improving language development and reducing stress for both infants and caregivers.
Implementation Method 1
utilizing a multiple-channel feed-forward ANC system using adaptive FIR filters with an 1×2×2 FXLMS algorithm, a noise suppression system may be particularly effective at reducing snoring noises
Data Source
AI summary
Systems, apparatuses and methods for integrating adaptive noise cancellation (ANC) with communication features in an enclosure, such as an incubator, bed, and the like. Utilizing one or more error and reference microphones, a controller for a noise cancellation portion reduces noise within a quiet area of the enclosure. Voice communications are provided to allow external voice signals to be transmitted to the enclosure with minimized interference with noise processing. Vocal communications from within the enclosure may be processed to determine certain characteristics/features of the vocal communications. Using these characteristics, certain emotive and/or physiological states may be identified.