Frequency-Based Pain Relief Signal Processing
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Solution Overview
Problem
Current therapies fail to effectively address chronic pain by identifying and neutralizing the oscillatory patterns of noxious components in neuronal signals, leading to inadequate pain relief for individuals with nociceptive, inflammatory, or neuropathic pain.
Innovation Solution
An apparatus and system that generates an interfering electrical signal tuned to the oscillatory pattern of noxious signals, using time domain to frequency domain transformation and Fourier transforms, to modify the neuronal signal and reproduce a non-pain state by adding or removing specific frequency components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional pain therapies are applied, then general pain management is attempted, but they fail to effectively neutralize the oscillatory patterns of noxious components in neuronal signals
Solution Approach 1:
The patent applies vibration principles by targeting and neutralizing oscillatory patterns in neuronal pain signals. The system identifies specific frequency oscillations in nociceptive signals and applies counter-vibrational electromagnetic signals to disrupt and eliminate these pain-associated oscillatory patterns, effectively stopping pain transmission through vibrational interference at the neural level.
Solution Approach 2:
The system changes the frequency domain parameters of nociceptive signals by performing Fourier transforms to identify characteristic oscillatory frequencies of pain signals. By detecting and analyzing frequency parameters rather than just temporal amplitude, the system can precisely target and neutralize specific pain-related oscillatory patterns while preserving normal neural function.
2Measurement precision
If time domain analysis is used for nociceptive signals, then signal acquisition is simple, but frequency components of pain signals cannot be identified
Solution Approach 1:
The patent replaces traditional time-domain signal analysis with frequency-domain analysis using Fourier transforms. This substitution allows the system to decompose complex temporal neural signals into their constituent frequency components, enabling precise identification of pain-associated oscillatory patterns that are not visible in the time domain alone.
Solution Approach 2:
The system transitions from analyzing signals in the time dimension to analyzing them in the frequency dimension. By performing a dimensional transformation through Fourier analysis, the system reveals hidden frequency characteristics of nociceptive signals, allowing precise identification and targeting of pain-related oscillatory patterns that exist in the frequency domain but are masked in the time domain.
3Adaptability or versatility
If generic pain therapies are applied, then treatment coverage is broad, but specific pain etiologies are not effectively addressed
Solution Approach 1:
The patent applies local quality by tailoring the therapeutic signal to match the specific frequency characteristics of each patient's pain condition. Rather than using a uniform treatment approach, the system analyzes the unique frequency spectrum of each individual's nociceptive signals and generates customized counter-signals targeted at their specific pain-related oscillatory patterns, providing personalized therapy for different pain etiologies.
Solution Approach 2:
The system employs feedback by continuously monitoring the patient's nociceptive signals, analyzing their frequency content in real-time, and adjusting the therapeutic electromagnetic signals accordingly. This closed-loop approach allows the system to adapt to changes in pain conditions and optimize treatment effectiveness based on the actual physiological response, ensuring targeted relief for specific pain types.
Data Source
AI summary
An apparatus, system and technique selectively eliminates the noxious signal components in a neuronal signal by creating an interfering electrical signal that is tuned to a given frequency corresponding to the oscillatory pattern of the noxious signal, resulting in a modified neuronal signal that substantially reproduces a normal, no-pain neuronal signal. The disclosed system and technique of pain relief is based on the hypothesis that the temporal profile of pain signals encodes particular components that oscillate at unique and quantifiable frequencies, which are responsible for pain processing in the brain.