Therapeutic Device Personalized Signal Control
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Solution Overview
Problem
Existing therapeutic devices, such as electromagnetotherapy devices, require manual adjustment of electromagnetic field intensity and frequency by specialists, which is impractical for domestic use and does not account for individual physiognomy and body part variations, leading to simplified treatment programs that may not fully address specific pathologies.
Innovation Solution
A user-friendly therapeutic device that allows users to input physiognomic, body part, and pathology data, utilizing lookup tables to automatically adjust the intensity and frequency of the treatment signal generated by the terminal, eliminating the need for specialist intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual adjustment of electromagnetic field intensity and frequency by specialists is used, then treatment precision is improved, but device complexity and ease of operation worsen
Solution Approach 1:
The device automatically determines treatment parameters by processing user inputs (physiognomic data, body part, pathology) through lookup tables and algorithms, eliminating the need for specialist manual adjustment while maintaining treatment precision
Solution Approach 2:
The patent replaces the mechanical/manual adjustment system with an automated electronic control system that uses microprocessors, lookup tables, and algorithms to determine optimal treatment parameters based on patient-specific data
2Ease of operation
If simplified treatment programs are used for domestic use, then ease of operation is improved, but treatment precision worsens
Solution Approach 1:
The device dynamically adjusts treatment parameters (intensity, frequency, duration) based on multiple patient-specific variables including physiognomic data, body part characteristics, and pathology type, rather than using fixed simplified programs
Solution Approach 2:
The system pre-configures multiple lookup tables with optimized treatment parameters for different body parts and pathologies, allowing the device to automatically select and apply the correct parameters based on patient input without requiring real-time specialist intervention
3Ease of operation
If fixed treatment programs are provided, then ease of operation is improved, but adaptability worsens
Solution Approach 1:
The treatment program dynamically adapts to each patient by processing individual physiognomic data, selected body parts, and pathology information to generate customized treatment parameters rather than applying fixed predetermined programs
Solution Approach 2:
The device is designed to treat multiple different pathologies across various body parts by using a universal lookup table system that can accommodate diverse treatment scenarios through parameter variation rather than requiring separate fixed programs for each condition
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 personalized treatment signals without specialist intervention, ensuring correct intensity and frequency for specific body parts and pathologies, enhancing treatment efficacy and convenience for domestic use.
Implementation Method 1
The solenoids generate an electromagnetic field with frequency and power that correspond to the electrical signal transmitted by a signal generator
Data Source
Figure 1
Figure 2~3B
AI summary
A therapeutic device for treating the human body comprises: an electrical or magnetic or electromagnetic terminal (1), a signal generator (2), a CPU (8), a user interface (3) and a memory (7). The user interface (3) comprises: first input means (4) for the input of physiognomic data (40), second input means (5) for the input of body part data (50), and third input means (6) for the input of pathology data (60). The memory contains lookup tables (70, 71, 72) that correlate physiognomies, body parts and pathologies with intensity and/or frequency values of the treatment signal (T). The CPU (8) correlates the data (40, 50, 60) entered by the patient with the lookup tables (70, 71, 72) in order to find a correct intensity and/or frequency value of the treatment signal (T).