Wearable Cough Classification Using Respiratory Cycle Timing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for evaluating and classifying coughing rely heavily on patient statements or questionnaires, making accurate medical diagnosis difficult due to subjectivity and lack of objective data.
Innovation Solution
A respiration-associated coughing evaluation system and method using a wearable device to detect respiratory cycles, classify coughing based on voice data, and determine respiratory information by analyzing the timing of coughing within the respiratory cycle, utilizing sensors and microphones to provide objective data for diagnosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If patient statements or questionnaires are used to evaluate coughing, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent replaces the mechanical/manual system of patient self-reporting with an automated acoustic detection system using microphones and signal processing algorithms to objectively measure coughing parameters, thereby improving measurement precision while maintaining ease of operation
Solution Approach 2:
The patent introduces voice data and respiratory cycle detection as intermediary elements between the patient and the diagnosis process, allowing objective measurement of coughing characteristics without requiring direct patient assessment
2Measurement precision
If voice data and respiratory cycle analysis are used to classify coughing, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The wearable device integrates multiple functions including respiratory cycle detection, voice data acquisition, coughing classification, and respiratory information determination into a single multi-functional system, improving measurement precision while managing device complexity through functional integration
Solution Approach 2:
The patent segments the coughing evaluation process into distinct analytical components (respiratory cycle detection, voice data analysis, timing classification) that can be processed separately and integrated, managing device complexity through modular processing
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 accurate and objective assessment of coughing patterns, aiding in precise medical diagnosis by providing detailed respiratory information, including disease classification based on coughing timing and intensity, facilitating personalized treatment plans.
Implementation Method 1
a wearable device that detects the respiration of the measurement object, obtains a respiratory cycle
Implementation Method 2
a neck connection microphone detecting a sound made in or around a neck of the measurement object to obtain the voice data of the measurement object
Data Source
AI summary
A respiration-associated coughing evaluation system, a respiration-associated coughing evaluation method, and a wearable device that detect the respiration of the measurement object, obtain a respiratory cycle, classify coughing using voice data of the measurement object, determine respiratory information about the measurement object based on the time at which the measurement object starts coughing during the respiratory cycle through the relationship between the respiratory cycle of the measurement object and the start point of coughing, and transmit the respiratory information.