3D Tremor Detector TMS Integration for Parkinson's
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current Transcranial Magnetic Stimulation (TMS) treatments for Parkinson's Disease and related disorders lack precision in adjusting magnetic stimulation to individual tremor frequencies, potentially reducing their effectiveness.
Innovation Solution
A hardware-software integrated system that includes a three-dimensional tremor detector and a TMS machine, allowing for real-time synchronization of tremor signals with magnetic stimulation, enabling precise adjustment of stimulation intensity and frequency based on patient-specific tremor data, and providing a graphical user interface for biofeedback and control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard TMS treatment protocols are used without individualized tremor frequency adjustment, then treatment can be applied generally to PD patients, but treatment effectiveness is reduced due to lack of precision in matching patient-specific tremor frequencies
Solution Approach 1:
The system segments the treatment process into distinct functional modules: a tremor detection module using accelerometers to capture tremor signals, a signal processing module to analyze frequency characteristics, and a TMS stimulation module to deliver tailored magnetic pulses. This segmentation enables precise individualized treatment while maintaining manageable system complexity through modular design.
Solution Approach 2:
The system implements real-time feedback by continuously monitoring tremor frequencies during treatment and using this information to dynamically adjust TMS stimulation parameters. The accelerometers capture tremor signals, the processing module analyzes frequency content, and the TMS device adjusts stimulation frequency and intensity accordingly, creating a closed-loop control system that optimizes treatment effectiveness for each patient's specific tremor characteristics.
2Reliability
If TMS stimulation frequency is not synchronized with patient's tremor frequency, then treatment can be administered without complex synchronization requirements, but the therapeutic effect is diminished
Solution Approach 1:
The system performs preliminary tremor frequency assessment before initiating TMS treatment. The accelerometers continuously monitor and characterize the patient's tremor frequency in advance, allowing the system to pre-configure optimal stimulation parameters. This preliminary characterization ensures that when TMS treatment begins, the stimulation is already synchronized with the patient's tremor frequency, maximizing therapeutic effect without requiring complex real-time adjustments during treatment.
3Adaptability or versatility
If hardware-software integration is implemented for real-time tremor detection and TMS synchronization, then precise patient-specific treatment is achieved, but device complexity and development difficulty increase
Solution Approach 1:
The system employs universal, off-the-shelf accelerometers and standard signal processing algorithms that can be applied across different patients and tremor types. The hardware platform is designed to be multi-functional, capable of detecting tremor characteristics, analyzing frequency content, and interfacing with TMS devices using standardized protocols. This universality enables patient-specific customization without requiring complex proprietary components for each function, reducing overall integration complexity while maintaining adaptability.
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
This system enhances the efficacy of TMS treatments by ensuring magnetic stimulation is tailored to each patient's tremor frequency, potentially reducing tremors and providing a non-invasive, safe, and cost-effective means for diagnosis and treatment.
Implementation Method 1
The device includes a hardware component, a three-axes accelerometer sensor that detects frequency of arm movements
Implementation Method 2
TMS uses electromagnetic induction by means of a rapidly changing magnetic field to induce weak electric currents that provoke activity in specific or diffuse parts of the brain
Data Source
AI summary
Systems that integrate Transcranial Stimulation Biofeedback (TSB) Detector functions and Transcranial Magnetic Stimulation (TMS) functions, as well as methods of manufacturing such systems and methods of performing TSB detection and TMS using such systems, are provided. A system can include a hardware component and a software component in operable communication with the hardware component. The hardware component can include or be in operable communication with a TMS machine, and the software component can be configured to receive waveforms from the TSB Detector hardware.