Wearable Scratch Detection for Nighttime Flare Prediction
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Solution Overview
Problem
Conventional assessments of atopic dermatitis, such as clinical outcome assessments and patient-reported outcomes, are subjective and episodic, lacking accuracy due to clinician variability and patient compliance issues, and fail to detect scratch events during sleep, which exacerbates pruritus and disrupts sleep, and do not predict future flare events.
Innovation Solution
A wearable sensor device uses accelerometer data and machine learning classifiers to detect scratch events, particularly during sleep, and predicts future itch and flare events, providing objective and timely interventions through computerized decision support tools.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection and manual assessment methods are used for scratch detection, then device complexity is reduced, but measurement precision and reliability deteriorate due to subjectivity and human error
Solution Approach 1:
The patent replaces manual visual inspection with an automated image processing system that captures skin images, processes them through algorithms to detect scratches and measure their characteristics, and generates objective assessments. This substitution eliminates human subjectivity while maintaining operational simplicity through software-based analysis.
Solution Approach 2:
The patent introduces an image processing system as an intermediary between the patient's skin and the assessment process. The system captures images, processes them through specialized algorithms, and provides standardized measurements, serving as an objective mediator that eliminates direct human visual assessment while keeping the overall process accessible.
2Measurement precision
If frequent monitoring is performed to improve flare prediction accuracy, then measurement precision improves, but loss of time and patient burden increase
Solution Approach 1:
The patent performs preliminary image capture and processing at scheduled intervals to establish baseline measurements and early warning indicators before flares occur. By analyzing trends in scratch depth, width, and number over time, the system predicts potential flares in advance, allowing intervention before full flare development while reducing the need for continuous monitoring.
Solution Approach 2:
The patent implements monitoring at strategically selected intervals rather than continuous observation. The system captures images at predetermined time points and uses algorithmic analysis to detect trends, providing sufficient data for accurate prediction without requiring excessive time commitment from patients or clinicians.
3Measurement precision
If detailed imaging and analysis are performed to improve scratch characterization, then measurement precision improves, but device complexity and processing requirements increase
Solution Approach 1:
The patent divides the skin image into multiple regions and analyzes scratch characteristics separately in each region. The image processing algorithm segments scratches from surrounding skin tissue, measures individual scratch parameters (depth, width, length), and aggregates results to provide comprehensive characterization without requiring overly complex global processing.
Data Source
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AI summary
Technology is disclosed for detecting scratch events and predicting flares of pruritus, utilizing motion data sensed from a wearable sensor. Detecting scratch may be done with a two-tier approach by first detecting a hand motion from motion sensed data and then classifying that hand motion as a scratch event using one or more computerized classification models. Embodiments may focus on detecting nighttime scratch by utilizing motion sensed data captured during a user's detected sleep opportunity. Additionally, historical scratch event data may be used to predict a user's itch and flare risk for a future time interval. Decision support tools in the form of computer applications or services may utilize the detected scratch events or predicted itch or flare risk to initiate an action for reducing current itch and/or mitigating future risk, including initiating a treatment protocol that includes therapeutic agent.