Wearable Sensor Dual-Pairing for Health Research Data Access
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Solution Overview
Problem
Current health research studies face challenges in gathering and exchanging health data from multiple participants due to the limitations of existing monitoring devices, which are often costly, lack advanced capabilities, and are not readily compatible with standard computing devices, thereby restricting the amount and frequency of data collection and the number of participants involved.
Innovation Solution
A system utilizing wearable sensor devices with advanced capabilities that can pair with both personal and research computing devices, enabling robust health data collection and communication through NFC, WiFi, or Bluetooth, with distinct pairing operations for secure and authorized data exchange, allowing researchers to access relevant health data while maintaining user privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional monitoring devices are used in health research, then device cost and complexity are reduced, but data collection capability and compatibility with standard computing devices are limited
Solution Approach 1:
The wearable device is designed to perform multiple functions: it serves as both a personal health monitoring device and a research data collection device. The device can pair with both personal computing devices and research computing devices, enabling it to fulfill diverse roles without requiring separate specialized equipment for each function.
Solution Approach 2:
The wearable device acts as an intermediary between research participants and researchers. It collects health data from participants and facilitates secure data exchange with research computing devices, serving as a bridge that enables research participation without requiring direct connection between all parties.
2Productivity
If wearable devices with advanced capabilities are used, then data collection capability is improved, but device cost increases
Solution Approach 1:
By designing the wearable device to serve dual purposes (personal health monitoring and research data collection), the system maximizes the utility of each device. This multi-functionality justifies the advanced capabilities and cost, as the same device performs multiple valuable functions rather than requiring separate specialized devices.
3Adaptability or versatility
If multiple computing devices are paired with wearable devices, then data accessibility for researchers is improved, but user privacy and security are compromised
Solution Approach 1:
The system implements different pairing qualities for different computing devices. Personal computing devices receive full access to health data for user monitoring, while research computing devices receive restricted access limited to research-related data. This differentiated access control allows multiple pairings without compromising user privacy.
Solution Approach 2:
The system extracts and separates research-related data from the complete health data set. Only the necessary research-related information is shared with research computing devices, while other personal health information remains private to the user's personal device, thus minimizing privacy risk while enabling research accessibility.
4Reliability
If research studies include more participants, then research validity is improved, but data collection complexity and resource requirements increase
Solution Approach 1:
The wearable device serves as a universal data collection tool that can be used across multiple participants in the research study. Each participant wears the same device type that performs both personal monitoring and research data collection, eliminating the need for specialized research equipment for each participant and reducing overall system complexity.
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
Facilitates efficient and secure communication of health data between research participants and researchers, enabling real-time data collection from multiple participants and enhancing the capabilities of wearable devices for research purposes without compromising user privacy.
Implementation Method 1
initial pairing is performed using NFC
Implementation Method 2
subsequent local communication with multiple companion computing devices utilizes various other means of local communication (e.g. WiFi, short-wavelength radio wave communication such as Bluetooth)
Data Source
AI summary
Methods and systems for facilitating health research by utilizing one or more wearable sensor devices with a research mode are provided herein. Systems include a wearable sensor device that can pair with a first portable computing device of a user and a second computing device of a researcher in a first and second pairing, respectively. The wearable sensor device obtains one or more health parameters of a user. In one aspect, the wearable sensor device communicates research related and non-research related health information to the first computing device via the first pairing link and communicates only research related health information to the second computing device via the second pairing link. Methods for pairing one or more wearable sensor devices with one or more research computing devices and switching between operating modes to provide additional research related features are also provided.