Deep Brain Stimulation Lead Fault Detection With Short Pulses
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Solution Overview
Problem
The positioning of electrodes for implantable medical devices is often imprecise and dependent on external aids, leading to uncertainty in correct placement and functionality, with conventional impedance testing methods struggling to accurately assess broken or improperly positioned leads, especially in systems with short pulse widths.
Innovation Solution
A stimulation engine delivers electrical pulses between electrodes to detect initial and subsequent voltages, analyzing the voltage wave shape to determine resistive and reactive components of impedance, identifying fault conditions such as broken or improperly positioned leads by comparing measured voltages to defined thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional impedance testing methods are used, then the system can assess lead functionality, but the measurement precision deteriorates when detecting broken or improperly positioned leads, especially with short pulse widths
Solution Approach 1:
The system changes the electrical parameters by delivering electrical pulses with specific waveforms (square waves, sine waves, triangular waves) and varying pulse widths. By analyzing the voltage wave shape and comparing it to expected waveforms, the system can accurately detect different types of lead faults including broken leads, improperly positioned leads, and electrode-tissue interface issues. This parameter-based approach enables reliable fault detection even with short pulse widths where conventional methods fail.
2Manufacturing precision
If external aids such as fluoroscopes and endoscopes are used for electrode positioning, then the positioning accuracy improves, but the device complexity and procedural time increase
Solution Approach 1:
The implantable medical device performs self-testing of electrode positioning and functionality through automated impedance measurement and voltage waveform analysis. The system can independently identify lead faults and provide feedback about electrode placement quality without requiring external imaging equipment or surgical assistance. This self-service capability simplifies the overall positioning process while maintaining high accuracy.
3Use of energy by moving object
If short pulse widths are used for stimulation, then the energy consumption decreases, but the measurement precision of impedance testing deteriorates
Solution Approach 1:
The system uses periodic electrical pulses with varying waveforms and durations to characterize the impedance. By delivering multiple pulses and analyzing the voltage wave shape over time, the system can extract accurate impedance information even when individual pulses are short. The periodic nature of the testing allows for reliable measurement while maintaining low energy consumption characteristic of short pulse width operation.
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
Accurately identifies lead faults by determining resistive and reactive components of impedance, ensuring proper electrode-tissue contact and system integrity, even with short pulse widths, thereby enhancing the reliability of implantable medical devices.
Implementation Method 1
analyzing the voltage wave shape to determine resistive and reactive components of impedance
Implementation Method 2
detect at least an initial voltage and a subsequent voltage between the at least two electrodes at different times during delivery of the electrical pulse
Data Source
AI summary
A stimulation engine configured to identify a fault condition in an implantable lead, including a regulator configured to deliver an electrical pulse between at least two electrodes of the implantable stimulation lead, and a sensing module configured to detect at least an initial voltage and a subsequent voltage between the at least two electrodes at different times during delivery of the electrical pulse, and compare at least the subsequent voltage to a defined threshold value representing an expected voltage at the same time during the electrical pulse to determine the presence of a fault condition.