Respiration-Mediated Heart Rate Pain Scoring
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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 therapies, especially in ambulatory settings where access to medical assistance is limited.
Innovation Solution
A system that utilizes physiological sensors to measure respiration and heart rate signals, generating a pain score through respiration-mediated heart rate variation (RM-HRV) metrics, enabling objective pain assessment and 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 the system is simple to operate, but the measurement precision and reliability are poor due to cognitive constraints and intra-patient variation
Solution Approach 1:
The patent replaces the mechanical/subjective pain assessment method (relying on patient self-reporting) with a physiological monitoring system that objectively measures pain through cardiovascular signals. The system uses ECG sensors, respiration sensors, and accelerometers to detect physiological changes associated with pain, thereby eliminating the limitations of subjective reporting while maintaining system feasibility through established sensor technologies
Solution Approach 2:
The patent introduces physiological parameters (heart rate variability, respiration rate, acceleration) as intermediary indicators to indirectly assess pain intensity. Instead of directly measuring pain through subjective reports, the system uses these physiological mediators that correlate with pain states, enabling objective pain quantification without requiring direct patient cognitive input
2Productivity
If manual programming of pain therapy by clinician is used, then the treatment can be customized, but the productivity is low and time-consuming, especially in ambulatory settings without immediate medical assistance
Solution Approach 1:
The patent implements a closed-loop feedback system where physiological pain indicators continuously monitor patient status and automatically trigger therapy adjustments. The system compares real-time physiological data against predefined thresholds and autonomously modifies neuromodulation parameters, eliminating the need for manual clinician intervention and enabling immediate therapy optimization in ambulatory settings
Solution Approach 2:
The system enables self-service pain management by allowing the device to autonomously assess pain levels through physiological monitoring and adjust therapy parameters without requiring external clinician programming. The implantable neuromodulator automatically responds to pain episodes based on detected physiological changes, providing autonomous pain control capability
3Loss of time
If subjective pain description is relied upon, then the device complexity is low, but the loss of time increases due to inefficient pain assessment and delayed therapy initiation
Solution Approach 1:
The system performs preliminary continuous monitoring of physiological parameters (heart rate, respiration, movement) to detect early signs of pain episodes before they fully manifest. By continuously采集 and analyzing these signals, the system can identify pain onsets and trigger therapy adjustments proactively, reducing the time delay between pain occurrence and therapy initiation
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 approach provides an objective and efficient method for pain assessment and therapy adjustment, improving pain management by reducing reliance on patient reports and enabling immediate, automated adjustments to pain therapy, enhancing both the accuracy and efficiency of pain relief.
Implementation Method 1
generate one or more signal metrics indicative of respiration-mediated heart rate variation (RM-HRV) using the sensed respiration signal and the sensed heart rate signal
Data Source
AI summary
This document discusses, among other things, systems and methods for managing pain of a subject. A system may include a sensor circuit configured to sense a respiration signal and a heart rate signal. A pain analyzer circuit may determine respiratory cycles and respiratory phases in a respiratory cycle, and generate one or more signal metrics indicative of respiration-mediated heart rate variation. The pain analyzer may generate a pain score using the signal metrics indicative of respiration-mediated heart rate variation. The pain score may be output to a user or a process. The system may include an electrostimulator to generate and deliver closed-loop pain therapy according to the pain score.


