Handheld Tool Tremor Stabilization Using Real-Time Motion Compensation
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Solution Overview
Problem
Current treatments for chronic neurodegenerative diseases like Parkinson's Disease and Essential Tremor, such as medication and deep brain stimulation, are ineffective and invasive, failing to adequately address unintentional muscle movements that interfere with daily activities.
Innovation Solution
A handheld tool equipped with a tremor tracking module and motion sensors that detect and stabilize unintentional muscle movements, using actuators and gearing mechanisms to center the tool's attachment arm and attached implement, thereby compensating for tremors in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If medication or deep brain stimulation is used to treat tremor, then tremor symptoms are addressed, but the treatment is invasive or ineffective
Solution Approach 1:
The patent replaces invasive medical interventions (deep brain stimulation) and pharmacological treatments with a mechanical stabilization system. The handheld tool uses motion sensors, actuators, and gearing mechanisms to physically counteract tremor movements, substituting surgical/mechanical-biological systems with a purely mechanical compensation system that is non-invasive and externally applied.
2Reliability
If traditional handheld tools are used, then they are simple in design, but they cannot compensate for tremor movements
Solution Approach 1:
The patent merges multiple functional components into a single handheld tool: motion sensors for detection, actuators for correction, gearing mechanisms for motion transformation, and control logic for coordination. This integration of detection, processing, and correction functions into one device enables tremor compensation while maintaining ease of use, resolving the contradiction between stability and complexity.
Solution Approach 2:
The system employs real-time feedback through motion sensors that continuously monitor tremor movements, feed this information to control logic, and trigger actuator responses to counteract the detected movements. This closed-loop feedback mechanism enables the implement to remain stable despite user tremors, achieving reliability through active compensation rather than passive rigidity.
3Ease of operation
If deep brain stimulation surgery is performed, then tremor control may be improved, but the procedure is dangerous and invasive
Solution Approach 1:
The handheld tool acts as an intermediary device between the user and the task being performed. Rather than directly modifying the user's nervous system through surgery, the tool mechanically mediates the tremor effect by detecting movements and generating compensatory motions, thereby protecting the user from invasive procedures while still enabling ease of operation.
Data Source
AI summary
Systems and methods for tracking unintentional high amplitude muscle movements of a user and stabilizing a handheld tool are described. The method may include detecting motion of a housing of the handheld tool when manipulated by a user while the user is performing a task with a user-assistive device attached to an attachment arm of the handheld tool, and storing the detected motion in a memory of the handheld tool as motion data. Furthermore, the method may include controlling a first motion generating mechanism and a second motion generating mechanism by generating a first motion signal and a second motion signal that respectively drive the first motion generating mechanism in a first degree of freedom and the second motion generating mechanism in a second degree of freedom to stabilize motion of the user-assistive device attached to the attachment arm of the handheld tool.