Ambulatory Velocity Feedback for Stimulation Parameter Control
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Solution Overview
Problem
Existing electrical stimulation devices lack objective and quantitative methods for evaluating and adjusting stimulation parameters based on patient-specific ambulatory velocity to effectively manage neurological disorders.
Innovation Solution
A system that utilizes velocity sensors to provide objective feedback for adjusting stimulation parameters such as amplitude, pulse width, and pulse rate, allowing for closed-loop control and programming based on sensed patient ambulatory velocity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electrical stimulation parameters are adjusted manually based on patient feedback, then stimulation efficacy can be optimized, but the process is time-consuming and lacks objective quantitative measures
Solution Approach 1:
The system implements a closed-loop feedback mechanism where ambulatory velocity data from wearables is continuously monitored and used to automatically adjust stimulation parameters. The processor receives velocity information, compares it against target values, and modulates stimulation parameters accordingly, eliminating the need for manual patient feedback and significantly reducing adjustment time while providing objective quantitative measures of efficacy.
Solution Approach 2:
The stimulation system performs self-adjustment by automatically modifying its own parameters based on real-time ambulatory velocity data. The processor autonomously compares measured velocity against target values and modulates stimulation parameters without requiring manual intervention, enabling the system to self-optimize based on objective quantitative measures.
2Reliability
If stimulation parameters are customized for each patient, then therapeutic efficacy improves, but device complexity increases
Solution Approach 1:
The system transitions from static, manually programmed parameters to dynamic, automatically adjusted parameters that respond in real-time to ambulatory velocity changes. The processor continuously monitors velocity data and autonomously modulates stimulation parameters, allowing the system to adapt to individual patient characteristics and progressions without requiring complex manual programming, thereby maintaining high therapeutic efficacy while managing device complexity through automation.
3Ease of operation
If manual programming of stimulation parameters is used, then ease of operation is maintained, but objective evaluation of stimulation efficacy is lacking
Solution Approach 1:
The system incorporates objective efficacy evaluation through continuous monitoring of ambulatory velocity via wearables. The processor receives real-time velocity data, compares it against target values, and uses this information to automatically adjust stimulation parameters. This feedback loop provides quantitative objective data on stimulation efficacy while maintaining ease of operation, as the system handles data processing and parameter adjustment automatically without requiring manual intervention.
Data Source
AI summary
A method includes receiving, with one or more processors, a first ambulatory velocity information of a patient while electrical stimulation with a first set of stimulation parameters is being delivered to the patient; adjusting, based on the first ambulatory velocity information and by a predetermined amount, one or more of the first set of stimulation parameters to generate an adjusted set of stimulation parameters by a predetermined amount; receiving, with the one or more processors, a subsequent ambulatory velocity information of the patient while the electrical stimulation with an adjusted set of stimulation parameters is being delivered to the patient; and generating, with the one or more processors and based on the subsequent ambulatory velocity, one or more recommended electrical stimulation parameters the patient.