Acoustic Spirometry Using Mobile Microphones for Remote Lung Assessment
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Solution Overview
Problem
Existing home spirometry devices face challenges such as high cost, usability issues, and lack of coaching or quality control mechanisms, limiting their widespread adoption for monitoring lung function in chronic lung diseases.
Innovation Solution
A sound-based spirometric system using a mobile device with a microphone to process digital audio files of a subject's forced expiratory maneuver, generating expiratory flow-based pulmonary function data without the need for direct contact, enabling remote and cost-effective lung function assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional flow-based spirometers (pneumotachographs, turbines, anemometers) are used, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces complex mechanical flow measurement systems (pneumotachographs, turbines, anemometers) with an acoustic field-based system. A microphone captures sound waves generated by expiratory airflow, and signal processing algorithms convert these acoustic signals into flow rate measurements, eliminating the need for mechanical moving parts and complex sensor assemblies while maintaining measurement precision.
Solution Approach 2:
The invention changes the physical parameter used for measurement from mechanical flow directly detected by complex sensors to acoustic parameters (sound pressure, frequency spectrum) captured by simple microphones. By analyzing the acoustic characteristics of expiratory airflow through signal processing, the system derives flow rate information without requiring complex mechanical measurement components.
2Measurement precision
If high-end clinical spirometers are used, then measurement precision is improved, but portability and ease of operation deteriorate
Solution Approach 1:
The patent replaces bulky mechanical spirometry systems with a portable acoustic measurement system using a smartphone or tablet. The microprocessor and microphone-based flow estimation algorithm enable accurate spirometry measurements in a compact, handheld device that can be easily carried and operated by patients at home, eliminating the need for large clinical equipment.
Solution Approach 2:
The system enables patients to perform spirometry tests independently at home using their own smartphones or tablets. The device provides automated flow rate calculation, spirometry parameter computation (FEV1, FVC, PEFT), and result interpretation without requiring trained technicians or complex operational procedures, making the technology accessible to patients for self-monitoring.
3Ease of operation
If low cost peak flow meters are used, then ease of operation is improved, but measurement precision and diagnostic capability deteriorate
Solution Approach 1:
The patent replaces simple mechanical peak flow meters with an acoustic measurement system that captures comprehensive flow information through sound wave analysis. By processing the full waveform of expiratory airflow acoustically, the system provides precise measurement of multiple spirometry parameters (PEF, FEV1, FVC) rather than only peak flow, significantly improving diagnostic capability while maintaining operational simplicity.
Solution Approach 2:
The invention introduces acoustic signal processing as an intermediary between the simple microphone input and comprehensive spirometry output. The microprocessor analyzes the acoustic waveform through algorithms that convert sound pressure and frequency data into accurate flow rate measurements and diagnostic parameters, enabling a simple device to produce clinically meaningful results.
4Ease of operation
If existing home spirometry devices are used, then ease of operation is improved, but reliability and quality control deteriorate
Solution Approach 1:
The system incorporates real-time feedback mechanisms where the microprocessor continuously monitors the acoustic signal quality and provides immediate feedback to the patient through visual or auditory cues. The system can detect and correct improper technique, validate measurement quality, and ensure reliable data collection, thereby improving measurement reliability while maintaining ease of use through automated quality control.
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 solution allows for earlier diagnosis of pulmonary dysfunction, improved patient compliance, and easier data uploading, providing a more accessible and accurate method for monitoring lung health, with potential for earlier treatment and reduced healthcare costs.
Implementation Method 1
The microphone is operable to convert sound of a subject's forced expiratory maneuver into a digital data file
Data Source
AI summary
Devices, system, and methods generate expiratory flow-based pulmonary function data by processing a digital audio file of sound of a subject's forced expiratory maneuver. A mobile device configured to generate expiratory flow-based pulmonary function data includes a microphone, a processor, and a data storage device. The microphone is operable to convert sound of the subject's forced expiratory maneuver into a digital data file. The processor is operatively coupled with the microphone. The data storage device is operatively coupled with the processor and stores instructions that, when executed by the processor, cause the processor to process the digital data file to generate expiratory flow-based pulmonary function data for assessing pulmonary function of the subject. The sound of the subject's forced expiratory maneuver can be converted into the digital data file without contact between the subject's mouth and the mobile device.