AI LED Phototherapy Control System for Clinical Parameter Optimization
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Solution Overview
Problem
Conventional LED phototherapy devices have limited therapeutic effects and require manual input of codes or modes by users, lacking the ability to apply clinical research results effectively.
Innovation Solution
A light emitting diode (LED) phototherapy device control system using artificial intelligence (AI) that includes an LED pad, an LED control module, and user equipment with a memory, processor, and user application to generate a user interface for inputting clinical information and calculating driving parameter values for the LED module based on clinical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional LED phototherapy devices use fixed treatment modes requiring manual code input, then device complexity is reduced, but adaptability to different clinical conditions deteriorates
Solution Approach 1:
The system automatically identifies clinical conditions and determines treatment parameters without requiring user input of codes or manual selection. The processor analyzes clinical data and autonomously selects appropriate LED wavelengths, power levels, and treatment durations based on stored clinical guidelines, making the device self-configuring and highly adaptable.
Solution Approach 2:
The system dynamically adjusts LED operating parameters (wavelength, power, pulse duration) based on identified clinical conditions. Different clinical scenarios trigger different parameter sets, allowing the same hardware to deliver customized therapy for various conditions such as depression, pain, or inflammation without physical reconfiguration.
2Reliability
If conventional LED phototherapy devices require manual mode selection, then ease of operation is improved, but therapeutic effectiveness deteriorates
Solution Approach 1:
The system incorporates feedback loops where the processor continuously monitors treatment progress and clinical outcomes. Based on this feedback, it automatically adjusts treatment parameters to optimize therapeutic effectiveness, ensuring evidence-based dosing without requiring users to understand complex medical parameters.
Solution Approach 2:
The patent replaces manual mechanical selection (buttons, switches for mode selection) with an intelligent software-based system. The processor automatically determines treatment parameters by analyzing clinical data and matching conditions against stored protocols, substituting user decision-making with algorithmic precision.
3Reliability
If LED phototherapy devices apply clinical research data through AI, then therapeutic effectiveness is improved, but device complexity increases
Solution Approach 1:
The system integrates multiple functions into a single processor-based platform: clinical condition identification, parameter optimization, treatment delivery control, and outcome monitoring. This universal approach allows one device to handle various clinical conditions (depression, pain, inflammation) with different parameters, reducing the need for multiple specialized devices while maintaining high therapeutic effectiveness.
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 enables personalized and optimized LED phototherapy treatments by applying clinical research data, improving therapeutic effectiveness and user experience through automated parameter adjustment.
Implementation Method 1
an LED module including a plurality of LEDs arranged in a certain pattern
Data Source
AI summary
Described are a light emitting diode (LED) phototherapy device control system using artificial intelligence (AI), a method of controlling the same, and a recording medium, the LED phototherapy device control system including: an LED pad to which an LED module including a plurality of LEDs arranged in a certain pattern is mounted; an LED control module; and a user equipment configured to provide a driving parameter value for the LED module to the LED control module while interworking with the LED control module, wherein the user application calculates the driving parameter value based on the data table and information input through the UI, and provides the driving parameter value to the LED control module, and the LED control module receives the driving parameter value from the user equipment, and controls the operation of the LED module based on the received driving parameter value.