Vibration Patch for Lung Sound Detection and Symptom Classification
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Solution Overview
Problem
Current clinical methods for diagnosing lung sounds are limited by the human ear's frequency and amplitude range, and cannot continuously monitor lung sounds or symptoms effectively, while animal experiments face challenges in non-invasive, long-term monitoring of drug effects due to limited blood samples and invasive pathological section requirements.
Innovation Solution
A symptom sensing system comprising a patch with vibrators and receivers that generate and detect vibrations, using a processor to determine relative positions and extract abnormal signals, and apply a classification model to diagnose symptom types and positions based on vibration signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a stethoscope is used to listen to lung sounds, then the doctor can determine symptom type and position, but the detection accuracy is limited by the human ear's frequency and amplitude range
Solution Approach 1:
The patent replaces the mechanical stethoscope system with an electronic sensing system comprising accelerometers, gyroscopes, and signal processing circuits. This substitution enables detection of lung sounds beyond human auditory range (including ultrasonic frequencies) while providing quantitative measurement of amplitude and frequency parameters, thereby resolving the contradiction between detection accuracy and device complexity.
Solution Approach 2:
The patent changes the detection parameters by using accelerometers and gyroscopes to measure vibration frequency and amplitude in ranges exceeding human ear capabilities. The system processes these parameters through digital signal processing to extract diagnostic information, achieving superior measurement precision while maintaining manageable system complexity through integrated sensor modules.
2Duration of action of moving object
If a doctor manually monitors lung sounds, then diagnosis can be performed, but continuous long-term monitoring is not possible
Solution Approach 1:
The patent implements a self-service monitoring system where the electronic sensors automatically and continuously record lung sound parameters without requiring physician intervention. The system performs autonomous signal acquisition, processing, and storage over extended periods, enabling long-term monitoring while keeping device complexity manageable through automated operations and integrated processing circuits.
Solution Approach 2:
The patent enables continuous monitoring by replacing intermittent manual auscultation with uninterrupted electronic sensing. The accelerometers and gyroscopes continuously capture vibration data, and the signal processing circuit continuously analyzes the data stream, ensuring no gaps in monitoring duration while maintaining system simplicity through persistent automated operation.
3Loss of information
If blood draws are performed at different stages to confirm drug concentration changes, then drug effects can be observed, but the limited blood supply in animals restricts the number of draws
Solution Approach 1:
The patent substitutes invasive blood sampling with non-invasive electronic sensing that detects physiological parameters correlated with drug concentration. The accelerometers and gyroscopes measure vibration characteristics of respiratory systems that change in response to drug effects, providing continuous drug concentration information without consuming blood samples, thereby resolving the contradiction between information acquisition and substance loss.
4Measurement precision
If pathological sections are obtained to observe symptom changes in animals, then detailed symptom information can be obtained, but the method is invasive and cannot provide continuous monitoring
Solution Approach 1:
The patent replaces invasive pathological sectioning with non-invasive electronic sensing that detects respiratory vibrations through accelerometers and gyroscopes. This substitution provides continuous symptom monitoring precision comparable to or exceeding pathological methods, while completely eliminating the harmful effects of invasive procedures on the animal subject.
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
Enhances the accuracy of lung sound detection and enables long-term monitoring of symptoms, allowing for precise diagnosis and continuous tracking of lung health, as well as non-invasive monitoring of drug concentration trends in animals.
Implementation Method 1
Each of the receivers is configured to detect the vibration generated by the inspiration system corresponding to the organism to generate a vibration signal respectively
Implementation Method 2
The at least one vibrator is configured to generate a reference vibration
Data Source
AI summary
An inspiration system related symptom sensing system includes a patch and a processor. The patch includes at least one vibrator and a plurality of receivers. Each of the receivers is configured to generate a reference vibration signal corresponding to the vibrator and a vibration signal corresponding to an inspiration system of an organism. The processor is configured to determine a relative position of each of the receivers related to the inspiration system of the organism based on the reference vibration signals, the vibration signals, and a plurality of positional relationships of the vibrator corresponding to each of the receivers. The processor is configured to generate a spatial position corresponding to the inspiration system and a corresponding symptom type by using a classification model based on the abnormal signals and the relative positions corresponding to the receivers.