Brain Wave Analysis for Personalized Photobiomodulation Therapy
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Solution Overview
Problem
Existing neurostimulation methods for brain disorders lack personalized therapy protocols tailored to individual user conditions.
Innovation Solution
A method and device that analyze user brain wave data to determine a therapy protocol, including sessions, frequency, treatment area, duration, and light wavelength, to provide personalized photobiomodulation therapy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional neurostimulation methods are used, then therapy can be provided to brain disorder patients, but the therapy cannot be personalized to individual user conditions
Solution Approach 1:
The system performs preliminary analysis of brain wave data before delivering therapy. The computing device analyzes brain wave data to determine therapy protocols (including frequency, duration, and treatment area) in advance, allowing personalized therapy to be delivered without real-time complexity during treatment delivery.
Solution Approach 2:
A computing device acts as an intermediary between brain wave data collection and therapy delivery. The computing device processes brain wave data, determines appropriate therapy protocols, and controls the therapy delivery device, thereby personalizing therapy without requiring the therapy device itself to be complex.
2Manufacturing precision
If brain wave data analysis is performed to determine therapy protocol, then personalized therapy can be provided, but additional analysis time and processing are required
Solution Approach 1:
Brain wave data analysis and therapy protocol determination are performed as preliminary steps before therapy delivery. The system collects brain wave data, analyzes it to determine the optimal therapy protocol (frequency, duration, treatment area), and then delivers the personalized therapy, ensuring precision without delaying actual treatment.
Solution Approach 2:
The system automatically analyzes brain wave data and determines therapy protocols without requiring manual intervention. The computing device self-processes the brain wave data and generates therapy protocols autonomously, reducing both analysis time and preparation time for personalized therapy.
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
Optimizes therapy by deriving appropriate brain waves for the user based on their condition, enhancing treatment efficacy.
Implementation Method 1
PBM methods are based on the principle of using light mainly with infrared wavelengths to cause photochemical changes inside the mitochondrial cell structure
Data Source
AI summary
A method, device and recording medium for providing therapy through brain wave data analysis are provided. The method by which a computing device provides therapy through brain wave data analysis, according to various embodiments of the present invention, comprises the steps of: acquiring brain wave data of a user; determining a therapy protocol on the basis of the acquired brain wave data; and using the determined therapy protocol to provide therapy to the user.