Nebulizer Respiratory Rate Detection via Audio Signal Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional nebulizers for respiratory conditions do not integrate vital sign monitoring, leading to inefficiencies in medicine delivery and lack of synchronization with treatment responses.
Innovation Solution
A method and apparatus that utilize a microphone to capture breathing sounds, analyze respiratory rates, and adjust medicine delivery based on vital signs using computational tools like machine learning, enabling dynamic respiratory classification and tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional nebulizers are used without integrated monitoring, then device complexity is reduced, but treatment precision and synchronization with patient vital signs deteriorate
Solution Approach 1:
The patent combines multiple functions (medicine delivery, respiratory monitoring, vital sign detection) into a single integrated nebulizer system. The microphone array and sensors are merged with the nebulizer chamber to enable simultaneous medication administration and respiratory rate detection without requiring separate monitoring equipment.
Solution Approach 2:
The nebulizer is designed to perform multiple functions: delivering medication, monitoring respiratory rate via microphone array, detecting vital signs through integrated sensors, and dynamically adjusting delivery parameters. This multi-functionality eliminates the need for separate monitoring devices while improving treatment precision.
2Measurement precision
If separate monitoring equipment is used, then measurement capability is improved, but synchronization and workflow efficiency deteriorate
Solution Approach 1:
By integrating the microphone array and sensors directly into the nebulizer device, the system captures respiratory sounds and vital signs simultaneously with medicine delivery. This eliminates the time delay and synchronization issues associated with separate monitoring equipment, as all measurements are taken from the same device during the treatment process.
3Adaptability or versatility
If static medicine delivery rate is used, then device complexity is reduced, but treatment adaptability and effectiveness deteriorate
Solution Approach 1:
The nebulizer system dynamically adjusts the medicine delivery rate in real-time based on detected respiratory rate and vital signs. The control system processes continuous input from microphones and sensors, modifying delivery parameters adaptively to match the patient's current physiological state, thereby improving treatment effectiveness.
Solution Approach 2:
The system implements a feedback loop where the microphone array continuously monitors respiratory sounds, detects respiratory rate, and feeds this information back to the control system. The controller then adjusts the medicine delivery rate accordingly, creating a closed-loop adaptive treatment system that responds to patient condition changes in real-time.
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
This approach allows for synchronized and calibrated medicine delivery, improving treatment efficiency by monitoring vital signs and adjusting dosages in real-time, enhancing patient care for respiratory conditions.
Implementation Method 1
a microphone to capture breathing sounds
Data Source
AI summary
A method for determining respiratory rate from an audio respiratory signal comprising capturing the audio respiratory signal generated by a subject using a microphone. The method also comprises segmenting the audio respiratory signal into a plurality of overlapping frames. For each frame of the plurality of overlapping frames, the method comprises extracting a signal envelope, computing an auto-correlation function, computing an FFT spectrum from the auto-correlation function and computing a respiratory rate of the subject using the FFT spectrum.