Web-Enabled Cardiovascular Risk Analysis System
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Solution Overview
Problem
Current software tools for ambulatory blood pressure monitoring (ABPM) and actigraphy lack integration with web-enabled systems, failing to support large-scale clinical research and cardiovascular risk management studies, especially in managing and analyzing synchronized data for clinical trials.
Innovation Solution
A web-enabled system with a graphical user interface for secure data upload and analysis, a database for storing clinical data, and advanced statistical methods for analyzing cardiovascular risk, including ABPM and actigraphy data, to generate customized reports and support clinical research and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If standalone software tools are used for ABPM and actigraphy, then device complexity is reduced, but the system cannot support large-scale clinical research studies and data management
Solution Approach 1:
The patent merges ABPM data management, actigraphy data management, and clinical research study management into a single integrated web-enabled system. This allows the system to handle large-scale clinical research studies by combining previously separate functions into one unified platform that can manage synchronized data from multiple sources simultaneously.
Solution Approach 2:
The system is designed as a universal platform that performs multiple functions: managing ABPM recordings, managing actigraphy recordings, synchronizing these data streams, conducting statistical analysis, and supporting clinical trials. This multi-functional approach enables a single system to support large-scale clinical research across different study types and data configurations.
2Measurement precision
If specialized statistical methods for ABPM and actigraphy are implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent introduces a specialized database structure as an intermediary layer between raw ABPM and actigraphy data and the statistical analysis functions. This database stores processed ABPM recordings, actigraphy recordings, and synchronized data in standardized formats, enabling complex statistical methods to be applied without directly complicating the data collection and processing infrastructure.
3Reliability
If web-enabled data upload and storage is implemented, then data security is improved, but use of energy and computational resources increases
Solution Approach 1:
The patent segments the data management system into distinct modular components: a web-enabled interface for secure data upload, a database for storage, and separate processing modules for ABPM data, actigraphy data, and synchronized analysis. This segmentation allows computational resources to be allocated efficiently to each function, reducing overall energy consumption while maintaining security through the web-enabled architecture.
Data Source
AI summary
Disclosed embodiments include a web-enabled system especially adapted for clinical research and clinical management of cardiovascular risk using ambulatory blood pressure monitoring (ABPM) data, actigraphy data, and clinical data. According to a disclosed embodiment the web-enabled system comprises (a) a web-enabled graphical user interface to enable a user to securely authenticate, securely upload clinical data, and navigate through a plurality of software modules; (b) a database to store user profiles, protocols, clinical data, ambulatory blood pressure monitoring (ABPM) recordings, actigraphy recordings, research data, and study results; and (c) a plurality of statistical methods and analysis techniques especially designed to automatically analyze the clinical cardiovascular risk data, and create customized reports of the results designed to assess cardiovascular risk based on ABPM and actigraphy.