Wearable Healthcare Data Compression via QR Encoding
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Solution Overview
Problem
In medical settings, especially in 'disconnection, intermittent, or low-bandwidth' environments, there is a challenge in accessing, processing, and exchanging healthcare data due to limitations in data transmission, storage, and processing capabilities, which is critical in urgent medical situations such as battlefields, remote operations, or natural disasters.
Innovation Solution
A computer-implemented method using near-field communications (NFC) and Bluetooth components to encode, compress, and transmit healthcare data through a wearable device, allowing for efficient data processing and storage, even in resource-constrained environments, by generating QR codes for data representation and using a flexible encapsulation to ensure durability and usability as a bandage or sticker.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If healthcare data is collected and stored in traditional formats, then data completeness is maintained, but data transmission and processing capability deteriorates in DIL environments
Solution Approach 1:
The patent segments healthcare data into structured records with specific fields (patient demographics, vital signs, diagnostic information) and further divides the data into compressible units. This segmentation enables selective transmission of critical data in DIL environments while maintaining overall data completeness through structured organization.
Solution Approach 2:
The patent applies parameter changes by transforming data from unstructured formats to structured formats with optimized data types. Healthcare data is converted into a standardized structure with specific field types, enabling efficient compression and transmission while maintaining information integrity in resource-constrained environments.
2Productivity
If data compression is applied to reduce data size, then data transmission efficiency is improved, but data processing complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-structuring healthcare data into standardized records before compression. The data is organized into predefined fields and formats in advance, which simplifies the subsequent compression process and enables efficient processing in DIL environments without requiring complex real-time compression algorithms.
Solution Approach 2:
The patent changes data parameters by transforming healthcare data into a standardized structure with optimized field types and formats. This parameter transformation enables simpler compression algorithms to achieve high compression ratios, improving transmission efficiency while reducing processing complexity through standardized data representations.
3Productivity
If structured data formats are used for healthcare data, then data processing efficiency is improved, but data flexibility and adaptability deteriorates
Solution Approach 1:
The patent implements universality by creating a standardized healthcare data structure that can represent multiple types of healthcare information (demographics, vital signs, diagnostics, treatment data) within a single unified format. This universal structure enables efficient processing across different systems while maintaining flexibility through configurable fields that can adapt to various healthcare scenarios.
Solution Approach 2:
The patent applies dynamics by designing a structured data format with configurable fields that can be dynamically adjusted based on specific healthcare needs. The standardized structure allows for flexible field addition, modification, and reconfiguration without compromising processing efficiency, enabling adaptation to different healthcare environments and data requirements.
4Reliability
If data is compressed and encoded, then data transmission in DIL environments is enabled, but data accuracy and integrity may deteriorate
Solution Approach 1:
The patent applies preliminary action by validating and structuring healthcare data before compression and transmission. The data is checked for completeness and accuracy in advance, ensuring that no information is lost during compression. This preliminary validation maintains data integrity while enabling transmission in DIL environments through structured compression.
Solution Approach 2:
The patent changes data parameters by using standardized data types and formats that preserve precision during compression. The structured format maintains accurate representation of healthcare data values, and the compression algorithm is designed to work with these standardized parameters, ensuring both transmission capability in DIL environments and data accuracy through controlled parameter transformations.
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
Enables reliable and efficient collection, storage, and exchange of healthcare data in challenging environments, ensuring continuous access to patient information, even in areas with limited infrastructure, by providing a durable and versatile data processing system integrated into wearable devices.
Implementation Method 1
transmitting, by one or more near-field communications (NFC) components configured at an NFC initiator device, an NFC initiation signal to a recipient device; establishing, by one or more computer processors configured at the NFC initiator device, using the one or more NFC components configured at the NFC initiator device, an NFC field with the recipient device
Implementation Method 2
establishing, by one or more BLUETOOTH components configured at the NFC initiator device, a BLUETOOTH bond with the recipient device using the BLUETOOTH address for the recipient device
Data Source
AI summary
A wearable data storage and transmission device and related systems that collect and store sensor data from sensors worn by a user. The device components can include a processor, battery, data storage media, NFC components, Bluetooth components, Wi-Fi components, and wired communications components. The device can remain powered down, powering up periodically to collect sensor data using low energy methods and/or in response to receiving a signal (e.g., NFC, power, Bluetooth, etc.) from an external device that causes the device to power up its components and make sensor data available to the external device. The collected sensor data may be encoded, compressed, stored, and/or exchanged in one or more structured records using various methods to improve the information storage capabilities of the device, including using the disclosed QR coding methods.