EDA Sensor Pain Detection via Physiological Index Thresholds
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Solution Overview
Problem
The subjective nature of pain assessment in patients often leads to inaccurate discernment, resulting in over-prescription and potential drug dependency due to inefficient communication between healthcare providers and patients.
Innovation Solution
The use of electrodermal activity (EDA) sensors to collect and analyze data, which is processed to determine the occurrence, level, and source of pain, providing an objective indication through index values and machine learning-based classifiers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If subjective pain assessment methods are used, then communication between physician and patient is required, but measurement precision deteriorates due to personal characteristics and communication inefficiencies
Solution Approach 1:
The patent replaces the mechanical/communication-based pain assessment system with an automated electrodermal activity sensing system. The EDA sensor continuously monitors physiological responses without requiring patient communication, eliminating the subjectivity and communication inefficiencies inherent in traditional methods while providing objective, quantifiable pain level data.
Solution Approach 2:
The system enables self-monitoring of pain through continuous EDA measurement. The sensor automatically detects physiological changes associated with pain without requiring active participation from the patient beyond being monitored, and the system autonomously processes the data to provide pain level indications, reducing dependency on physician-patient communication.
2Loss of information
If subjective pain assessment is used, then patient communication is simplified, but loss of information occurs due to skewed assessment and lack of efficient communication
Solution Approach 1:
The patent replaces communication-based assessment with automated physiological monitoring. The EDA sensor continuously captures objective pain-related physiological data without requiring patient verbal or non-verbal communication, eliminating information loss due to communication inefficiencies while maintaining ease of operation through automated data collection and processing.
Solution Approach 2:
The system provides continuous EDA monitoring that operates throughout the monitoring period without interruption. This continuous data collection ensures no pain-related information is lost due to communication gaps or assessment interruptions, while the system remains easy to operate through automated processing of continuous data streams.
3Object-affected harmful factors
If over-prescription of drugs occurs, then patient pain relief may be improved, but harmful factors increase due to physical or psychological drug dependency
Solution Approach 1:
The system provides continuous feedback on objective pain levels through EDA monitoring. This feedback mechanism allows for precise, real-time adjustment of pain management interventions based on actual physiological pain data rather than subjective reports, reducing the risk of over-prescription while ensuring adequate pain relief and minimizing drug dependency risks.
Solution Approach 2:
The patent replaces subjective pain reporting with objective EDA-based pain measurement. This substitution enables more precise and reliable pain management decisions based on actual physiological data, reducing the likelihood of over-prescription and associated harmful effects while maintaining effective pain relief through evidence-based intervention.
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 enables more accurate and objective pain assessment, reducing the risk of over-medication and drug dependency by providing a reliable, real-time indication of pain levels and sources.
Implementation Method 1
receiving electrodermal activity (EDA) data of a user. The EDA data may be sent by a sensor and received by a computing device
Data Source
AI summary
Methods, systems, and apparatuses for determining an indication of pain of a user are disclosed. Electrodermal activity (EDA) data from a sensor may be received. The EDA data may be indicative of one or more physiological signals derived from sweat gland activity of the user. Index values may be determined based on the EDA data. The index values may be compared to a threshold to determine if one or more of the values of the index value satisfies the threshold. Satisfying the threshold may indicate a pain in the user, a pain level for the user and/or a source of pain within the user. The indication may be caused to be output so that the user or others may be informed of an objective measurement of the pain in the user.