fNIRS Brain-Controlled Robotic Arm for Rehabilitation
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Solution Overview
Problem
Current methods for evaluating brain activity during motor tasks are costly, immobile, and prone to motion artifacts, limiting their effectiveness in rehabilitation for amputees and individuals with neuromuscular disorders.
Innovation Solution
A system using functional near-infrared spectroscopy (fNIRS) to measure hyperbaric oxygen levels in the brain, classify brain activities, and generate control signals for a robotic arm to perform wrist movements, enabling efficient and cost-effective brain-controlled rehabilitation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If functional magnetic resonance imaging (fMRI), single-photon emission computed tomography (SPECT), or magnetoencephalography (MEG) are used to evaluate brain activity, then measurement precision is improved, but device complexity and cost increase, and mobility is reduced
Solution Approach 1:
The patent replaces complex mechanical and electromagnetic imaging systems (fMRI, SPECT, MEG) with an optical-based fNIRS system that uses near-infrared light to measure brain activity. This substitution maintains measurement capability while dramatically reducing device complexity, cost, and improving portability for rehabilitation applications
Solution Approach 2:
The patent uses optical light absorption properties to create a simplified copy of the brain activity measurement function. Instead of using complex imaging physics, it measures hemoglobin oxygenation levels as a proxy for neural activity, achieving comparable functional information with much simpler technology
2Measurement precision
If fMRI, SPECT, or MEG are used to obtain brain activity information, then measurement precision is improved, but mobility is reduced due to immobility constraints
Solution Approach 1:
The patent replaces immobile, complex imaging equipment with a portable fNIRS device that can be easily moved and positioned. The optical measurement system requires no large magnets, radiation sources, or complex infrastructure, enabling mobile brain-computer interface applications for rehabilitation
Solution Approach 2:
The patent changes the measurement parameters from direct neural electrical/magnetic signals to hemodynamic oxygenation levels. This parameter shift enables use of portable optical sensors instead of requiring fixed, complex imaging infrastructure, while still providing reliable brain activity information for motor task detection
3Measurement precision
If traditional brain imaging techniques are used during motor tasks, then measurement precision is improved, but motion artifacts increase
Solution Approach 1:
The patent replaces sensitive electromagnetic and radiation-based detection systems with optical detection that is inherently more tolerant of motion. The fNIRS system measures light absorption in the near-infrared range, which is less susceptible to motion-induced artifacts compared to the electromagnetic signals measured by MEG or the radiation detected by SPECT
Solution Approach 2:
The patent measures hemodynamic parameters (oxygenated and deoxygenated hemoglobin levels) rather than direct electrical or magnetic neural signals. These hemodynamic changes occur over a longer timescale and are less sensitive to rapid motion artifacts, enabling reliable brain activity measurement during active motor tasks and rehabilitation exercises
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 effectively classifies brain activities to control a robotic arm, improving rehabilitation outcomes for amputees and individuals with neuromuscular disorders by providing a portable, low-noise, and sensitive means to detect motor tasks, enhancing mobility and independence.
Implementation Method 1
measuring a hyperbaric oxygen (HbO) level of a non-disabled subject at target brain areas during a wrist movement using functional near-infrared spectroscopy (fNIRS) device with light sources and detectors
Implementation Method 2
detecting one or more brain activities of the non-disabled subject through said detectors based on the HbO level
Data Source
AI summary
A method of controlling robotic arm based on brain activities. The method includes measuring HbO level of non-disabled subject at target brain areas during wrist movement using a fNIRS device with light sources and detectors. The method further includes detecting brain activities of non-disabled subject through said detectors based on HbO level of non-disabled subject during wrist movement, and classifying brain activities corresponding to wrist movement using classification algorithms and generating training data set. The method also includes generating control signals based on brain activities for robotic arm to perform wrist movement, and detecting brain activities of disabled subject at target brain areas based on HbO level using fNIRS device. The method includes analyzing brain activities of disabled subject based on training data set, and generating control signal for robotic arm to perform wrist movement based on analyzed brain activity of disabled subject.