Biosensor Data Validation via Robotic Mimic Replication
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Solution Overview
Problem
Existing biosensor data, particularly from consumer-grade devices, lacks validation and stability due to continuous software updates and ecosystem changes, making it challenging to ensure accuracy and comparability with medical and research-grade data for clinical trials and patient management.
Innovation Solution
A system that uses a 'robot mimic' to collect standardized sensor data, replicating subject behavior and physiological activity, allowing for continuous validation and calibration of biosensor data by identifying and correcting deviations caused by software or hardware changes, ensuring data accuracy and comparability across different sensors and over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If consumer grade biosensors are used to collect large volumes of data, then data quantity and accessibility are improved, but measurement accuracy and validation are worsened
Solution Approach 1:
A robotic mimic acts as an intermediary between the biosensor and the subject, reproducing subject behavior and physiological activity to generate reference data that mediates the validation process between consumer sensors and gold standard measurements
Solution Approach 2:
The system creates a copy of subject behavior and physiological activity through the robotic mimic, which then generates sensor data that can be compared against the original subject's data to validate measurement accuracy
2Adaptability or versatility
If software updates are performed continuously on biosensors, then device functionality and adaptability are improved, but measurement stability and comparability are worsened
Solution Approach 1:
The robotic mimic continuously collects reference data over time, enabling ongoing validation that maintains measurement stability even as software updates occur, by providing a continuous baseline for comparison
Solution Approach 2:
The system uses feedback from comparing sensor data against robotic mimic reference data to detect and correct deviations introduced by software updates, maintaining measurement comparability across different software versions
3Ease of manufacture
If sensor replacement is performed during clinical trials, then device maintenance and upgrades are improved, but data comparability between original and replacement sensors are worsened
Solution Approach 1:
The robotic mimic generates reference data that serves as a transfer standard, allowing calibration of replacement sensors to match the original sensor's measurement characteristics, thereby maintaining data comparability across sensor replacements
Data Source
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AI summary
A system for validating biosensor data, the system comprising: i) means for collecting biosensor data from a subject; ii) means for reproducing subject behaviour and/or physiological activity of the subject and collecting data corresponding with such reproduced behaviour and/or physiological activity; and iii) means for detecting any deviation over time in biosensor data collected from the reproduced activity in (ii) in order to identify and/or correct sensor or software introduced deviations in biosensor data collected from the patient.