Physiologic Monitoring Carrying Case for Remote Data Reliability
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Solution Overview
Problem
Existing physiologic monitoring technologies are cumbersome, prone to false alarms, and lack user-friendly interfaces, leading to decreased compliance and productivity, especially in remote or hospital settings where power and network availability may be limited.
Innovation Solution
A modular physiologic monitoring system with disposable patches and rechargeable modules, including a carrying case that serves as a gateway for wireless communication and power supply, allowing reliable data transfer to remote servers over extended periods without constant supervision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing monitoring systems are used, then physiologic parameters can be measured, but the systems are prone to false alarms, usage failures, and unreliable user interfaces leading to decreased compliance
Solution Approach 1:
The monitoring system is designed to operate autonomously with automatic alarm threshold adjustment, self-diagnosis capabilities, and automated data synchronization. The system can independently handle usage failures and maintain operation without requiring constant user intervention or expert input, thereby improving reliability while reducing operational complexity.
Solution Approach 2:
The system incorporates continuous feedback mechanisms including real-time monitoring of signal quality, automatic detection of artifact interference, and dynamic adjustment of monitoring parameters. This feedback loop enables the system to identify and correct usage failures and false alarm conditions, improving both reliability and user interface performance.
2Productivity
If existing monitoring systems are used, then data can be collected, but false alarms and alarm fatigue lead to decreased productivity
Solution Approach 1:
The system dynamically adjusts alarm thresholds and monitoring parameters based on baseline physiologic data, subject activity level, and environmental conditions. By changing parameters adaptively rather than using fixed thresholds, the system reduces false alarms while maintaining sensitivity to true events, thereby improving alarm reliability and reducing alarm fatigue.
Solution Approach 2:
The system applies different monitoring strategies and alarm criteria to different physiologic parameters and different subject states. Instead of uniform monitoring, it tailors the monitoring intensity and alarm sensitivity to local conditions such as subject activity, time of day, and specific physiologic baseline, improving both productivity and alarm reliability.
3Duration of action of moving object
If existing monitoring systems are used, then monitoring can be performed, but uncomfortable interfaces and involved maintenance lead to poor long term compliance
Solution Approach 1:
The system performs automatic maintenance tasks including self-calibration, automated data synchronization, and self-diagnosis of component failures. This reduces the maintenance burden on users and enables long-term operation without requiring frequent user intervention, thereby extending monitoring duration while maintaining ease of operation.
Solution Approach 2:
The system implements periodic automatic maintenance cycles including battery status checks, sensor calibration, and data synchronization intervals. By automating these periodic tasks, the system maintains optimal performance over extended periods without requiring continuous user attention, improving both compliance and operational ease.
4Adaptability or versatility
If existing monitoring systems are used, then data can be transmitted, but lack of consistent connection in remote locations limits monitoring capability
Solution Approach 1:
The system performs preliminary actions by storing data locally in onboard memory and pre-configuring multiple communication protocols before deployment to remote locations. When connectivity is unavailable, the system has already prepared to store and cache data, ensuring no data loss occurs. Upon connection restoration, automatic synchronization retrieves stored data, maintaining reliable data transfer across varying connectivity conditions.
Solution Approach 2:
The system incorporates multiple communication modalities including cellular, satellite, and local area network capabilities, along with offline data storage functionality. This multi-functional design enables the system to adapt to various remote location conditions and maintain data transfer reliability regardless of which communication infrastructure is available, thereby improving both adaptability and reliability.
Data Source
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AI summary
A carrying case comprises at least one processing device comprising a processor coupled to a memory, at least one network interface, and a housing comprising at least one compartment, the at least one compartment comprising at least one mount configured for attachment of one or more devices utilized in physiologic monitoring of a subject. The at least one processing device is configured to utilize the at least one network interface to establish a first network connection to a body area network comprising the one or more devices, to utilize the at least one network interface to establish a second network connection to a remote server, to receive monitored physiologic data from the one or more devices over the first network connection, and to send the monitored physiologic data to the remote server over the second network connection.