Bioelectric Signal Detection via Low-Frequency Sound Stimulus
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Solution Overview
Problem
Existing technologies fail to effectively identify and respond to a subject's bioelectric response to sounds, particularly low-frequency sounds, which can be correlated with various health disorders, including cardiac and gastric issues.
Innovation Solution
The method involves capturing baseline bioelectric signals and vital signs, then exposing the subject to predetermined sound signals, particularly low-frequency sounds, to detect responsive bioelectric signals. These signals are processed to determine the subject's state of health, allowing for health-related determinations and potential medical diagnoses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional health monitoring methods are used, then general health parameters can be monitored, but specific health conditions correlated with sound sensitivity cannot be detected
Solution Approach 1:
The system segments the detection process into distinct phases: baseline bioelectric signal capture without sound exposure, followed by sound stimulus exposure, and then responsive signal capture. This segmentation allows for precise comparison between baseline and responsive states, enabling detection of subtle health conditions that general monitoring would miss.
Solution Approach 2:
The system introduces sound waves as an intermediary stimulus to provoke and reveal hidden health conditions. By using sound as a mediator between the monitoring system and the subject's bioelectric signals, the system can detect conditions like atrial fibrillation and cancer that are not apparent through conventional continuous monitoring alone.
2Reliability
If continuous health monitoring is performed, then health parameters are constantly tracked, but the subject experiences discomfort from constant monitoring devices
Solution Approach 1:
Instead of continuous monitoring, the system employs periodic sound stimulus exposure followed by responsive signal capture. This periodic approach maintains monitoring reliability by capturing health information at intervals while significantly reducing subject discomfort compared to constant monitoring device presence and activity.
Solution Approach 2:
The system converts the previously harmful or uncomfortable constant presence of monitoring devices into a beneficial periodic sound stimulus approach. The sound waves, which could be considered a disturbance, are transformed into a useful tool for revealing health information that would otherwise remain hidden, while actually reducing overall subject discomfort by eliminating constant device presence.
3Measurement precision
If invasive diagnostic procedures are used, then accurate health condition identification is achieved, but the subject experiences physical intrusion and discomfort
Solution Approach 1:
The system replaces invasive mechanical diagnostic procedures with a non-invasive acoustic stimulation approach. Instead of physically intruding into the body with needles, catheters, or surgical tools, the system uses sound waves to provoke and detect health conditions through external bioelectric signal monitoring, achieving diagnostic accuracy without physical intrusion.
Solution Approach 2:
The system employs a universal non-invasive approach that can detect multiple different health conditions (atrial fibrillation, cancer, other ailments) through a single sound stimulus and bioelectric signal analysis method, replacing the need for multiple specialized invasive procedures while maintaining diagnostic capability across various health issues.
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 approach enables the identification of health conditions, such as atrial fibrillation or cancer, by analyzing bioelectric responses to sound stimuli, providing a non-invasive means for early detection and potential therapeutic interventions.
Implementation Method 1
Electroencephalography (EEG) records the neural activity of electrical potential across cell membranes, which are detected through the cerebral cortex and recorded by a plurality of electrodes
Implementation Method 2
directing a first predetermined sound, of a set of predetermined sounds, at the portion of the subject's body
Data Source
AI summary
A method for identifying a subject's response to a sound signal includes using a capture device to capture a baseline bioelectric or vital sign response signal from a portion of a subject's body in an unexcited state for a first time period, directing a first predetermined sound, or a set of predetermined sounds, at the portion of the subject's body for a second time period, using the capture device to capture a responsive bioelectric or vital sign response signal from the portion of the subject's body during the second time period and processing the responsive bioelectric or vital sign response signal to determine a state of the portion of the subject's body or a responsiveness of the subject's body to the predetermined sound, or the set of predetermined sounds directed thereto during the second time period.