Wireless Medical Telemetry Network Validation and Latency Control
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Solution Overview
Problem
Current wireless medical telemetry systems experience significant data dropout due to interference from other wireless devices, particularly High Definition Television stations, and existing solutions like the Wireless Medical Telemetry Service (WMTS) do not adequately address the issue of data loss, with second-generation UHF telemetry still experiencing 25 minutes of dropout per day.
Innovation Solution
A method to validate and configure wireless networks, specifically 802.11 LANs, by measuring network latency and RF signal strength across the network, ensuring that the network can support mission-critical data transport by establishing a test load and comparing it to the actual load, and adjusting as necessary to meet the requirements for reliable data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If wireless networks are used for medical telemetry to share network resources, then network utilization and cost-effectiveness are improved, but data reliability and dropout rates worsen due to interference from other wireless devices
Solution Approach 1:
The patent performs preliminary network validation and qualification before deploying medical telemetry systems. This includes conducting site surveys, measuring RF signal strength, analyzing network latency, and identifying potential interference sources in advance. By performing these actions before deployment, the system ensures that the wireless network meets required performance thresholds for reliable medical data transport, thus resolving the contradiction between network sharing and data reliability.
Solution Approach 2:
The patent implements continuous monitoring and validation of network performance metrics including RF signal strength, latency, and data transmission quality. This feedback mechanism allows the system to detect degradation in network performance and trigger appropriate responses such as alerting operators or initiating corrective actions, thereby maintaining data reliability even in shared wireless environments.
2Adaptability or versatility
If network load is increased to support more applications on the wireless network, then network versatility is improved, but network latency increases affecting mission-critical data transport
Solution Approach 1:
The patent applies quality of service (QOS) mechanisms that allocate network resources partially to different applications based on their criticality. Mission-critical medical telemetry applications receive priority bandwidth allocation and reserved network paths, while non-critical applications share the remaining capacity. This partial action approach ensures that increasing overall network load does not degrade latency for time-sensitive medical data transport.
3Reliability
If RF signal strength is increased to improve data transmission reliability, then data dropout is reduced, but interference with other wireless systems increases
Solution Approach 1:
The patent implements location-specific RF optimization where signal strength, access point placement, and transmission power are customized for each physical location and environment. Rather than uniformly increasing RF power across the entire network, the system analyzes local interference conditions, building structures, and user density to optimize signal strength locally. This ensures reliable data transmission in each area while minimizing RF interference to other wireless systems in adjacent locations.
Data Source
AI summary
The invention relates generally to a method to ensure that mission-critical data is transported safely and effectively across a wireless LAN, and more particularly, to a method which determines network latency under model network loads and ensures that the RF signal strength requirements are met for all RF coverage areas supported by the wireless network, allowing for data transmission which is effective and complete, with acceptable latency and loss, and no unacceptable corruption of the data.