Closed-Loop Pain Therapy via Motion Sensor Feedback
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Solution Overview
Problem
Current pain management systems rely heavily on subjective patient reports, which are inefficient and prone to variation, and lack the capability for immediate, automated adjustment of pain therapy, especially in ambulatory settings where clinician intervention is not feasible.
Innovation Solution
A system that uses motion sensors to detect functional signals indicative of a patient's physical state, generating pain scores for objective assessment and enabling closed-loop control of neuromodulation therapies such as spinal cord stimulation, brain stimulation, or peripheral nerve stimulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If subjective patient reports are used for pain assessment, then pain management can be implemented, but the assessment is inefficient and prone to variation
Solution Approach 1:
The patent replaces the subjective, manual pain assessment process with an automated sensor-based measurement system. Motion sensors, physiological sensors, and image sensors objectively detect functional signals related to pain, eliminating reliance on patient self-reporting and clinician interpretation. This substitution of mechanical/automated systems for subjective human judgment improves both measurement precision and assessment efficiency.
2Adaptability or versatility
If manual adjustment of pain therapy is performed, then therapy can be customized, but immediate therapy titration is not feasible in ambulatory settings
Solution Approach 1:
The patent implements a closed-loop feedback system where sensors continuously monitor functional signals related to pain, and the system automatically adjusts neuromodulation therapy parameters in real-time based on detected pain levels. This feedback mechanism enables immediate therapy titration without requiring clinician intervention, maintaining adaptability while dramatically improving response speed in ambulatory settings.
Solution Approach 2:
The patent enables the pain management system to self-adjust therapy parameters based on automated pain detection. The system independently monitors functional signals, determines pain levels, and modifies neuromodulation delivery without external human intervention. This self-service capability allows immediate therapy customization while eliminating the need for clinician presence in ambulatory settings.
3Reliability
If objective pain assessment is implemented, then reporting variability is reduced, but system complexity increases
Solution Approach 1:
The patent divides the pain assessment system into multiple specialized sensor modules (motion sensors, physiological sensors, image sensors) that each detect specific functional signals. This segmentation allows the complex assessment task to be distributed across simpler, dedicated components, improving reliability through specialized measurement while managing overall system complexity through modular architecture.
Data Source
AI summary
This document discusses, among other things, systems and methods for managing pain of a subject. A system may include a motion sensor configured to sense at least one functional signal indicative a physical state of the subject. The at least one functional signal may include at least one motor activity signal or at least one sleep state signal. A pain analyzer circuit may extract, from the functional signal, signal metrics indicative of subject motor control or kinetics, and generate a pain score using the signal metrics. The pain score may be output to a user or a process. The system may additionally include an electrostimulator to generate and deliver a closed-loop pain therapy according to the pain score.