Acoustic Monitoring System for Non-Intrusive Physiological Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current remote patient monitoring systems are intrusive, require human intervention, and are not cost-effective for continuous, contactless detection of multiple physiological conditions, often relying on specialized equipment and skilled technicians.
Innovation Solution
A system and method that converts time-based vibration signals into acoustic signals using piezoelectric sensors placed under a dampening material like a mattress, filtering out ambient noise to produce audio files representing physiological conditions, allowing for non-intrusive, autonomous monitoring without the need for trained professionals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advanced stethoscopes or specialized equipment are used to detect physiological conditions, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces complex mechanical listening devices (stethoscopes) and specialized medical equipment with acoustic sensors that convert mechanical vibrations from the body into acoustic signals. This substitution maintains detection capability while dramatically simplifying the system architecture and reducing costs.
Solution Approach 2:
The system changes the parameter domain from mechanical vibration detection to acoustic signal detection. By converting vibration signals to acoustic signals, the system enables processing and analysis using acoustic engineering principles, simplifying the overall detection system while maintaining measurement precision.
2Measurement precision
If specialized equipment and skilled technicians are used for monitoring, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system enables automated acoustic signal processing and physiological condition determination without requiring skilled technicians. The acoustic engine automatically processes signals, filters noise, and determines physiological parameters, making the system self-sufficient and easy to operate by non-experts.
Solution Approach 2:
The patent replaces the need for skilled human operators with automated acoustic signal processing systems. The acoustic engine performs complex analysis tasks that previously required trained professionals, thereby simplifying operation while maintaining or improving detection accuracy.
3Ease of operation
If contactless monitoring is implemented, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent introduces acoustic sensors as an intermediary between the body vibrations and the monitoring system. These sensors non-intrusively capture vibrations through the air or contactless interface, converting them into acoustic signals that can be processed with high precision without direct physical contact or intrusion.
4Adaptability or versatility
If multiple physiological parameters are monitored simultaneously, then adaptability is improved, but device complexity increases
Solution Approach 1:
The acoustic engine is designed as a universal platform that can detect and process multiple types of physiological signals (heartbeats, breathing, movements) through a single integrated system. This multi-functional approach enables monitoring of various parameters simultaneously without requiring separate specialized devices for each parameter.
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 continuous, cost-effective, and non-intrusive monitoring of physiological conditions, reducing the need for human intervention and specialized equipment, while providing accurate detection of multiple parameters like heartbeats, breathing, and other bodily motions without privacy concerns.
Implementation Method 1
converting time-based vibration signals to acoustic signals
Data Source
AI summary
The present invention discloses a system and method for non-intrusive monitoring and prediction of cardiac function of a user. The system (100) comprises a sensor device (102), a data capturing device (104), a data receiver module (106), an acoustic engine (108) and user devices (110), which communicate by using communication network (112). The sensor device (102) comprises a sensor array to capture micro-vibrations of physiological parameters of a user through a surface/mattress under which the sensor device (102) is positioned. The acoustic engine (108) converts the digital time-based vibration signals into frequency-based acoustic outputs such as physiological condition acoustic signals. Further, the acoustic engine (108) is configured to determine the user's current and future health issues based on the physiological condition acoustic signals. does not require trained medical practitioners to analyze the vibration signal of the user to determine the physiological conditions of the user.