Dynamic Audio Modulation for Neural Stimulation
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Solution Overview
Problem
Current noninvasive neural stimulation methods are inadequate in effectively inducing and modifying desirable mental states such as attention, relaxation, and sleep through audio modulation, as they lack precise control over modulation characteristics like rate, phase, and waveform.
Innovation Solution
A processing device receives sensor-input values and corresponding modulation-characteristic values to generate and play audio outputs that modulate audio parameters such as tempo, loudness, and spectral features, aligning with user data and environmental inputs to target specific brain activity patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current noninvasive neural stimulation methods are used, then audio playback is provided, but precise control over modulation characteristics (rate, phase, waveform) is lacking
Solution Approach 1:
The system dynamically adjusts audio modulation characteristics (rate, phase, waveform) in real-time based on sensor feedback and mapping relationships, transforming static audio playback into a dynamic, adaptive neural stimulation system that precisely controls brain wave patterns
Solution Approach 2:
The system establishes a feedback loop where sensor inputs (measuring actual brain state or physiological parameters) are mapped to modulation characteristic values, which then adjust the audio output. This closed-loop control enables precise modulation characteristic control by continuously adapting to the user's neural state
2Reliability
If audio modulation is applied to induce mental states, then neural stimulation effectiveness is limited, but real-time dynamic adjustment of modulation characteristics enables precise induction of desirable mental states
Solution Approach 1:
The system changes multiple audio modulation parameters (rate, phase, waveform shape, depth) simultaneously based on sensor-input mappings, enabling precise induction of specific mental states by adjusting the combination and values of these parameters in real-time
Solution Approach 2:
The system pre-establishes mapping relationships between sensor-input values and modulation-characteristic values before operation. These predefined mappings guide the real-time adjustment process, ensuring that the automated control reliably produces the desired neural stimulation effects
Data Source
AI summary
Techniques (methods and devices) for neural stimulation through audio with dynamic modulation characteristics are disclosed. The techniques include receiving a mapping of sensor-input values and modulation-characteristic values, wherein each sensor-input value corresponds to a respective modulation-characteristic value; receiving an audio element from an audio source, wherein the audio element comprises at least one audio parameter; identifying an audio-parameter value of the audio parameter; receiving a sensor-input value from a sensor; determining a sensor-input value based on the sensor-input value; selecting from the mapping of sensor-input values and modulation-characteristic values, a modulation-characteristic value that corresponds to the sensor-input value; generating an audio output based on the audio-parameter value and the modulation-characteristic value; and playing the audio output.