Automated Pain Assessment System Using Visual and Audio Sensors
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Solution Overview
Problem
Current pain assessment methods for non-communicative patients, such as those with dementia or infants, are highly subjective and inconsistent, often leading to undetected and undertreated pain, which can manifest in behavioral changes and increased caregiver burden.
Innovation Solution
A system that captures visible and audible features of patients using cameras and microphones to automatically determine pain levels through algorithms, comparing pre- and post-drug administration data to assess the effect of analgesics and provide tailored pain management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated sensing systems are used to detect patient discomfort, then objectivity and consistency of pain assessment improve, but device complexity increases
Solution Approach 1:
The patent combines multiple sensing modalities (visual cameras for facial expressions, audio sensors for vocalizations, motion sensors for body movements) into a single integrated pain assessment system. This merging approach maintains high measurement precision through multi-parameter monitoring while managing device complexity by consolidating functions into one coordinated system rather than separate devices.
Solution Approach 2:
The system is designed to monitor multiple pain indicators simultaneously (facial expressions, vocalizations, body movements) using a single integrated platform. This multi-functionality allows the system to assess different aspects of pain through one device, improving measurement objectivity without proportionally increasing overall system complexity.
2Measurement precision
If multiple pain indicators are monitored simultaneously, then pain assessment accuracy improves, but data processing complexity increases
Solution Approach 1:
The system segments the complex task of pain assessment into distinct monitoring components: visual indicator detection, audio indicator detection, and motion indicator detection. Each component processes specific types of data independently, then results are integrated to form a comprehensive pain assessment. This segmentation improves accuracy through multi-parameter monitoring while managing processing complexity by dividing the computational burden.
Solution Approach 2:
The patent introduces an intermediary processing layer that receives raw data from multiple sensors, standardizes the different data formats, and integrates them into a unified pain assessment metric. This intermediary layer handles the complexity of multi-source data integration, allowing accurate pain detection without overwhelming the overall system with processing complexity.
3Reliability
If automated algorithms are used for pain detection, then consistency in pain management improves, but system complexity increases
Solution Approach 1:
The system employs automated algorithms that independently analyze sensor data, detect pain indicators, and generate assessments without requiring constant human intervention or complex configuration. The algorithms self-adjust to patient-specific patterns over time, maintaining consistent pain management reliability while keeping the operational complexity manageable through automation rather than manual processes.
Data Source
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AI summary
The present disclosure provides a method for determining an effect of a drug on pain experienced by a patient. The method comprises providing reference information concerning at least one visible and/or audible feature that is indicative of a level of the pain. The method further comprises capturing information indicative of the at least one visible and/or audible feature, respectively, from the patient comprising observing the patient directly or indirectly after administering the drug to the patient. In addition, the method comprises determining pain indicating information associated with a level of pain experienced by the patient using the captured information. The method also comprises comparing the pain indicating information with the provided reference information to determine the effect of the drug on the pain experienced by the patient.