Configurable Photobiomodulation With Probe-Based Tissue Sensing

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Solution Overview

Problem

The effectiveness of photobiomodulation therapy (PBMT) varies due to a lack of standardized protocols for optimal parameters such as wavelength, power density, and treatment duration, making it challenging to compare studies and establish consistent guidelines for different conditions and patient populations.

Innovation Solution

A device and method that modulate PBMT parameters based on anatomical features and properties detected within the target area using a probe beam, projecting a therapy beam optimized by a PBMT analytics system that aggregates data from multiple sessions to generate tailored treatment plans.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If standardized protocols for PBMT parameters are established, then treatment consistency and comparability improve, but adaptability to individual patient variations deteriorates

Engineering Contradiction:

Improvetreatment consistencyVSAvoidindividual customization

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system dynamically changes PBMT parameters (wavelength, power density, treatment duration) based on real-time detection of anatomical features and tissue properties. The probe beam measures tissue characteristics, and the therapy beam parameters are adjusted accordingly, allowing both standardized protocols and individual customization to coexist.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system uses a feedback mechanism where the probe beam continuously detects tissue properties during treatment, and this information feeds back to adjust the therapy beam parameters. This closed-loop control enables adaptation to individual patient variations while maintaining treatment consistency through standardized adjustment protocols.

Inventive Principle:

Principle #23Feedback

2Reliability

If PBMT parameters are optimized for each patient individually, then treatment efficacy improves, but treatment complexity and time required increase

Engineering Contradiction:

Improvetreatment efficacyVSAvoidtreatment protocol complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system performs self-characterization by using the probe beam to automatically detect anatomical features and tissue properties of the treatment area. This self-service approach eliminates the need for manual assessment and complex setup procedures, reducing treatment complexity while maintaining individualized optimization.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The probe beam performs preliminary detection of tissue properties before the actual therapy begins. This preliminary action characterizes the treatment area in advance, allowing the system to pre-calculate optimal therapy parameters and reducing the complexity during the actual treatment phase.

Inventive Principle:

Principle #10Preliminary action

3Manufacturing precision

If multiple PBMT parameters are simultaneously modulated, then treatment precision improves, but control difficulty and system complexity increase

Engineering Contradiction:

Improveparameter optimization precisionVSAvoidparameter control ease

Core Design Contradiction:

Manufacturing precisionVSEase of operation

Solution Approach 1:

The system merges the detection function (probe beam) and therapy function (therapy beam) into a single integrated platform. The same device that detects tissue properties also delivers the optimized therapy, simplifying operation by eliminating the need for separate assessment and treatment equipment while maintaining precise multi-parameter control.

Inventive Principle:

Principle #5Merging (Combining)

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

Enhances the efficacy of PBMT by dynamically adjusting parameters like intensity, wavelength, duration, and illumination angle based on individual anatomical characteristics, improving treatment outcomes.

Implementation Method 1

detect anatomical features and properties within the target area based on data collected from the probe beam

Methodology Applied

Scientific EffectOptical absorption: Absorption (EM radiation)

Implementation Method 2

detect anatomical features and properties within the target area based on data collected from the probe beam

Methodology Applied

Scientific EffectLight scattering: Scattering

Implementation Method 3

PBMT works by delivering photons to the targeted area, which are absorbed by the cells and trigger a series of biochemical reactions. These reactions can lead to increased production of adenosine triphosphate (ATP)

Methodology Applied

Scientific EffectPhotobiomodulation: Photosynthesis

Implementation Method 4

PBMT works by delivering photons to the targeted area, which are absorbed by the cells

Methodology Applied

Scientific EffectOptical absorption: Absorption (EM radiation)

Implementation Method 5

the release of nitric oxide, a molecule involved in vasodilation and anti-inflammatory processes

Methodology Applied

Scientific EffectVasodilation:

Data Source

PatentUS20250288822A1Configurable photobiomodulation therapy

Publication Date: 2025.09.18 WELCH ALLYN INC

AI summary

A device for providing photobiomodulation therapy on a target area of a patient projects a probe beam onto the target area. The device projects a probe beam onto the target area. The device detects anatomical features and properties within the target area based on data collected from the probe beam. The device modulates a therapy beam based on the anatomical features and properties detected within the target area. The device projects the therapy beam onto the target area for providing the photobiomodulation therapy.