Nail Plate Wearable Sensing for Multi-Device Disorder Detection
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Solution Overview
Problem
Current wearable sensor technologies are limited in their ability to efficiently and automatically integrate and analyze physiological data from multiple sources to detect disorders without human intervention, requiring complex processing and probabilistic analyses that are difficult for humans to perform accurately and efficiently.
Innovation Solution
A system comprising wireless sensors attached to a nail plate that measure physiological data, integrate it with data from other devices, and use machine learning and data processing algorithms to analyze the data for disorder detection, employing components like strain gauges, accelerometers, and smart contact lenses to provide continuous monitoring and early disease detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple physiological data sources are integrated and analyzed using complex processing and probabilistic analyses, then disorder detection accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the complex analysis task by distributing sensors across multiple wearable platforms (smartwatch, smartphone, nail plate) and processing data in modular stages: collection, integration, then analysis. This divides the monolithic complex system into manageable independent modules that can be developed and maintained separately while achieving high detection accuracy through their coordinated operation.
Solution Approach 2:
The system employs universal data integration algorithms that can process physiological data from multiple different sensor types and platforms (accelerometers, gyroscopes, physiological sensors). This multi-functional approach allows the same analytical framework to handle diverse data sources, improving disorder detection accuracy without proportionally increasing system complexity.
2Reliability
If continuous monitoring and data integration from multiple devices is implemented, then early disease detection capability is improved, but data processing requirements increase
Solution Approach 1:
The system performs preliminary data processing and filtering at each sensor node before transmission and integration. Sensors continuously monitor physiological parameters and pre-process data locally, performing initial anomaly detection and data validation. This preliminary action reduces the volume and complexity of data requiring centralized processing, enabling continuous monitoring with manageable computational requirements.
Solution Approach 2:
The system introduces an intermediary integration layer that receives data from multiple devices and performs synchronized correlation analysis. This intermediary component acts as a mediator between raw sensor data and final disorder detection, efficiently integrating multi-platform data streams and reducing the overall processing burden by handling integration tasks centrally rather than requiring full processing at each node.
3Productivity
If wireless sensors are attached to nail plate for continuous monitoring, then monitoring coverage is improved, but device miniaturization challenges increase
Solution Approach 1:
The system implements a nested architecture where nail plate sensors are integrated within a larger multi-platform monitoring system. The nail plate sensor unit is miniaturized to fit the constrained space, while its data is nested within the broader context of smartwatch and smartphone data. This nested doll approach allows the small nail plate sensor to provide continuous monitoring coverage while relying on larger companion devices for additional processing and storage capabilities.
Solution Approach 2:
The system merges the nail plate sensor functionality with existing wireless wearable platforms (smartwatches, smartphones) that provide power, communication, and processing resources. By combining the miniaturized nail plate sensor with these established platforms, the system achieves comprehensive monitoring coverage without requiring the nail plate sensor itself to contain all necessary components, thus overcoming miniaturization challenges.
Data Source
AI summary
Systems, computer-implemented methods and/or computer program products that facilitate wearable multiplatform sensing are provided. In one embodiment, a computer-implemented method comprises: measuring, by a system operatively coupled to a processor, wirelessly on a nail plate, physiological data of an entity; integrating and synchronizing, by the system, the physiological data with other physiological data from one or more devices to form integrated physiological data; and analyzing, by the system, the integrated physiological data to detect one or more disorders.