Voice-Driven Physiological Imaging Without Exogenous Wave Stimulation
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Solution Overview
Problem
Existing internal imaging technologies rely on exogenous wave stimulation, which is intrusive and invasive, failing to utilize the endogenous voice as a non-intrusive resource for producing real-time physiological imaging.
Innovation Solution
A voice-image system that leverages inverse mathematical problems and machine learning to reconstruct internal physiological images from voice signals, utilizing frameworks like Dynamic systems and Evolutionary computation to learn and optimize a Voice-network, combining Non-imaging and internal imaging technologies for data cross-referencing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If exogenous wave stimulation is used for internal imaging, then imaging capability is achieved, but intrusiveness and invasiveness increase
Solution Approach 1:
The patent applies the self-service principle by utilizing the body's own endogenous voice signals as the imaging source. Instead of introducing external waves, the system captures naturally occurring voice vibrations that already exist within the body, allowing the biological system to serve itself for imaging purposes. This eliminates the need for exogenous wave generation and reduces intrusiveness while maintaining imaging capability.
Solution Approach 2:
The patent inverts the conventional imaging approach by reversing the direction of wave generation. Rather than external devices generating waves that penetrate the body, the system captures waves generated internally by the body's own voice production. This inversion transforms the imaging paradigm from external-to-internal to internal-to-external, reducing invasiveness while achieving imaging goals.
2Measurement precision
If exogenous wave stimulation is used for internal imaging, then imaging capability is achieved, but device complexity and cost increase
Solution Approach 1:
The system eliminates complex external wave generation apparatus by having the body generate its own imaging signals through natural voice production. Simple capture devices record the endogenous voice signals, process them through algorithms, and reconstruct images, dramatically reducing device complexity and cost compared to traditional imaging systems that require expensive wave generation equipment.
Solution Approach 2:
The patent replaces complex mechanical wave generation systems with computational processing of acoustic signals. Instead of using sophisticated electromagnetic or mechanical wave sources, the system uses microphones and signal processing algorithms to capture and analyze voice signals, substituting mechanical complexity with computational simplicity.
3Object-affected harmful factors
If endogenous voice signals are used for imaging, then non-invasiveness is achieved, but signal availability and strength may be limited
Solution Approach 1:
The system dynamically adapts to varying voice signal conditions by adjusting capture parameters, processing algorithms, and reconstruction methods in real-time. The dynamic nature of voice production is leveraged rather than fought against, allowing the system to extract maximum imaging information from naturally varying signal strength and availability without requiring external wave generation.
Solution Approach 2:
The patent employs parameter changes in signal processing and image reconstruction to optimize imaging quality from limited voice signals. By adjusting processing parameters, filtering characteristics, and reconstruction algorithms based on the actual signal conditions, the system maximizes the information extracted from endogenous voice signals while maintaining non-invasive operation.
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 non-invasive, real-time internal physiological imaging by decoding voice signals to produce accurate internal images without the need for expensive apparatus or medical facilities, providing a comprehensive view of the body's physiological state.
Implementation Method 1
The non-lingual voice, a 'raw-voice' stripped of language-relevant facets and outwardly-engaging intentions, is a composite of signals, packed with waves in transfer, vibrations and harmonic structures.
Implementation Method 2
internal imaging technology has been dependent on signals of mechanical or electromagnetic wave generation
Data Source
AI summary
A system and method of capturing a voicer's voice data to illuminate features of their own physiology and produce voice-driven internal imaging. Data encoded within the voice is captured, decoded, modeled and simulated. Using vibrations of a voicer's voice as the input, features of their own physiology are outputted in the format of an internal image, while advancing a voice-network system and method adaptive to dynamic systems.