Therapeutic Electromagnetic Wave System With Hierarchical Signal Modulation
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Solution Overview
Problem
Existing systems for therapeutic treatments with electromagnetic waves, particularly for treating chronic neuroinflammation and neurodegenerative diseases like Alzheimer's and Parkinson's, show only minor improvements with existing frequency programs, indicating a need for enhanced treatment efficiency.
Innovation Solution
A system comprising an antenna and an apparatus that generates a supply current to produce electromagnetic waves using a digital processing circuit to create a sequence of base pulses organized into packets and trains, with adjustable timing and frequency to improve resonance effects, and a shifting operation to maintain frequency while adding variable harmonics, enhancing treatment efficacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing frequency programs are used for therapeutic treatments, then treatment can be provided, but treatment efficiency is insufficient and only minor improvements are achieved
Solution Approach 1:
The patent implements dynamic frequency adjustment by organizing electromagnetic signals into hierarchical structures (base pulses → packets → trains) with variable timing parameters. The system dynamically modifies frequency characteristics and harmonic content based on treatment phase and target tissue requirements, transforming static frequency programs into adaptive, evolving signal patterns that enhance therapeutic efficacy while maintaining treatment efficiency.
Solution Approach 2:
The system employs parameter changes by systematically varying timing parameters (packet duration, inter-packet intervals, train structure) and frequency characteristics throughout the treatment protocol. This includes introducing variable harmonics through non-integer multiplication relationships between base pulse frequency and packet/train frequencies, creating time-varying spectral profiles that improve treatment outcomes compared to fixed frequency programs.
2Productivity
If simple electromagnetic signal generation is used, then device complexity is low, but treatment efficacy is limited
Solution Approach 1:
The patent segments the electromagnetic signal generation into hierarchical components: base pulses are grouped into packets, which are further grouped into trains. This segmentation allows independent optimization of each level (base pulse frequency, packet timing, train structure) while maintaining overall system manageability. The modular architecture achieves complex therapeutic effects through coordinated interaction of segmented signal components without requiring proportionally complex hardware.
Solution Approach 2:
The system employs periodic action through structured repetition patterns at multiple levels: base pulses repeat within packets, packets repeat within trains, and trains repeat according to treatment protocols. This hierarchical periodicity creates resonant effects and cumulative therapeutic impacts while maintaining predictable, controllable signal patterns that do not require excessive computational or hardware complexity.
3Adaptability or versatility
If fixed frequency electromagnetic waves are applied, then system operation is simple, but resonance effects on different tissues are limited
Solution Approach 1:
The patent implements universality by designing a multi-functional signal generation system that can address multiple tissue types and pathological conditions through a single integrated apparatus. The hierarchical signal structure (base pulses, packets, trains) with variable timing and frequency parameters enables the system to adapt to different resonance frequencies of various tissues (brain, nervous system, other organs) while maintaining a unified operational framework that preserves ease of use.
Solution Approach 2:
The system achieves dynamic adaptability through time-varying frequency and timing parameters within the hierarchical signal structure. Base pulse frequency, packet duration, and inter-packet intervals can be dynamically adjusted to match resonance characteristics of different target tissues. This dynamic behavior allows a single system to effectively treat multiple conditions without requiring complex manual reconfiguration, as the adaptability is embedded in the programmable signal generation architecture.
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
The system significantly improves treatment efficiency for low-frequency programs by maintaining consistent frequency and adding variable harmonics, leading to improved therapeutic resonance and treatment outcomes for neuroinflammatory and neurodegenerative diseases.
Implementation Method 1
an apparatus (20a) configured to generate a supply current (i out) for the antenna (30) in order to generate the electromagnetic waves
Implementation Method 2
different tissues and organs respond, in vivo, to frequencies of weak electromagnetic fields that have the property of sending specific cell structures of those tissues or organs into resonance
Data Source
Figure 1~2
Figure 3a~3e
Figure 4~6
AI summary
A system for therapeutic treatments with electromagnetic waves is described. The system comprises an antenna (30) and an apparatus (20a) configured to generate a supply current (iout) for the antenna (30) in order to generate the electromagnetic waves. The apparatus (20a) comprises a digital processing circuit (220b) configured to generate a first PWM signal (DRV), a switching stage (24a) configured to generate an amplified PWM signal (V240), an analog low-pass or band-pass filter (28) configured to generate the supply current (iout) by filtering the amplified PWM signal (V240), and a current sensor (228) configured to provide a digital sample (CSD) indicative of the amplitude of the supply current (iout). Specifically, the digital processing circuit (220b) generates (2224) a sequence of first digital values (Simp) of a periodic base pulse (I). Moreover, the digital processing circuit (220b) generates (2228) a second PWM signal (PWMP) having a packet switch-on period (Tpac_on) and a packet switch-off period (Tpac_off), generates (2230) a third PWM signal (PWMTr) having a train switch-on period (Ttr_on) and a train switch-off period (Ttr_off), and generates (2232) an enable signal (EN) as a function of the second PWM signal (PWMP) and the third PWM signal (PWMTr). The digital processing circuit (220b) generates (2234) then a second digital value (SD), wherein the second digital value (SD) is set to the first digital value (Simp) when the enable signal (EN) has a first logic level and to zero when the enable signal (EN) has a second logic level. In particular, the digital processing circuit (220b) generates (2238) the first PWM signal (DRV) as a function of a third digital value (D) indicative of the duty cycle of the first PWM signal (DRV), and varies the third digital value (D) via a discrete proportional-derivative regulation configured to regulate the difference between the second digital value (SD) and the digital sample (CSD) to zero.