Non-Invasive Tissue Disorder Detection via Frequency Analysis
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Solution Overview
Problem
Current methods for diagnosing internal bodily disorders such as endometriosis, bowel obstruction, and tumors require invasive procedures like endoscopy or laparoscopy, which are costly and inconvenient, necessitating a non-invasive means to detect and locate disordered tissue frequencies for effective treatment.
Innovation Solution
A system using at least two electrodes to detect specific frequency ranges associated with disordered tissue, analyzing frequency data with a processor circuit to determine the location and progression of the disorder, and transmitting this information for treatment, employing a combination of amplifiers, filters, A/D converters, microprocessors, and wireless transmission for non-invasive monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If invasive procedures like endoscopy or laparoscopy are used to diagnose internal bodily disorders, then diagnostic accuracy is improved, but patient comfort and convenience deteriorate
Solution Approach 1:
The patent replaces mechanical invasive procedures (endoscopy, laparoscopy) with a non-invasive electrical field-based detection system. Electrodes placed on the body surface detect frequency signals from internal organs, substituting mechanical insertion with electrical field interaction to achieve diagnosis without physical invasion.
Solution Approach 2:
The invention detects changes in electrical frequency parameters emitted by internal organs. By monitoring frequency shifts in electrical signals from organs like the uterus, bowel, or bladder, the system identifies disordered tissue states without mechanical intervention, transforming physical state detection into electrical parameter analysis.
2Reliability
If invasive procedures are used for internal disorder diagnosis, then diagnostic reliability is improved, but treatment cost and complexity increase
Solution Approach 1:
The system replaces complex mechanical surgical diagnostic equipment with a simplified electrical detection装置. By using electrodes and signal processing circuits to detect organ frequency characteristics, the invention achieves reliable diagnosis without requiring complex endoscopic or laparoscopic mechanical systems.
3Measurement precision
If invasive procedures are performed in hospital settings, then diagnostic accuracy is improved, but patient convenience and accessibility deteriorate
Solution Approach 1:
The invention replaces hospital-based mechanical diagnostic procedures with a portable electrical detection system that can be used at home. The electrode-based frequency detection apparatus enables patients to perform self-diagnosis in comfortable home environments while maintaining diagnostic accuracy through electrical field interaction with internal organs.
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 non-invasive detection and analysis of internal bodily disorders, reducing the need for invasive procedures by identifying disordered tissue frequencies, providing accurate location and progression data for targeted treatment, and allowing for wireless communication of treatment data for remote monitoring and intervention.
Implementation Method 1
Frequency data and intensity of the frequency data is obtained by the at least two electrodes. A processor circuit analyzes the frequency data to determine if it is within the identified frequency range associated with the specific disordered tissue
Implementation Method 2
An amplifier is constructed and arranged to amplify the analog electrical signals
Implementation Method 3
Filter structure is constructed and arranged to filter the amplified analog electrical signal
Implementation Method 4
An A/D converter is constructed and arranged to convert the amplified and filtered analog electrical signals to digitized electrical signals
Data Source
AI summary
A tissue disorder monitoring system includes at least two electrodes constructed and arranged to obtain analog electrical signals from a patient. An amplifier amplifies the analog electrical signals. Filter structure filters the amplified analog electrical signal. An A/D converter converts the amplified and filtered analog electrical signals to digitized electrical signals. A microprocessor circuit is constructed and arranged to execute an application that analyzes the digitized electrical signals to identify and to determine treatment data including a specific location and/or propagation of disordered tissue within the patient. A transmitter transmits data in a wireless manner. A power supply powers the device. A method locating disordered tissue in a patient is also disclosed.