Electrode Group ID Mapping for Faster Neuromonitoring Setup
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Solution Overview
Problem
Current neuromonitoring and neurodiagnostics systems with large numbers of electrodes face challenges in efficient setup, verification of electrode connections, and high risk of errors due to complex and time-consuming manual configuration, compromising the quality of medical care.
Innovation Solution
A system and method for managing electrodes using unique identification codes, such as 128-bit GUIDs, associated with each electrode group lead or connector, allowing automatic recognition and association with input channels in a control unit, reducing manual intervention and connection errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a large number of electrodes are deployed for comprehensive neuromonitoring, then the monitoring coverage and diagnostic accuracy are improved, but the setup time and complexity of electrode management increase significantly
Solution Approach 1:
The electrode system is divided into multiple electrode groups, each with its own lead and connector. This segmentation allows the control unit to manage and identify electrodes in modular units rather than individually, reducing setup complexity and time while maintaining comprehensive monitoring coverage.
Solution Approach 2:
A unique identification code system acts as an intermediary between the electrode groups and the control unit. This intermediary mechanism enables automatic recognition and correlation of electrodes with input channels, eliminating manual configuration time and reducing setup complexity.
2Reliability
If manual configuration of each electrode connection is performed, then connection accuracy can be verified, but the process becomes time-consuming and error-prone
Solution Approach 1:
The system performs self-identification and self-correlation of electrode groups with input channels through the unique identification code system. The control unit automatically reads the identification codes and establishes the correct mappings, eliminating the need for manual verification while ensuring connection accuracy.
Solution Approach 2:
The control unit receives feedback from the unique identification codes on electrode group leads and uses this information to automatically configure the system. This feedback mechanism ensures accurate electrode-to-input-channel correlation without requiring manual intervention, thereby maintaining connection accuracy while improving setup efficiency.
3Measurement precision
If each electrode is individually managed and connected, then precise control and monitoring are achieved, but the complexity of electrode management increases
Solution Approach 1:
Multiple electrodes are merged into electrode groups that share common leads and connectors. This merging reduces the number of individual connection points and management tasks while maintaining the ability to precisely control and monitor each electrode's signal through the unique identification code system.
Data Source
AI summary
Systems, devices and methods for advanced electrode management in neurological monitoring applications include receiving sockets configured to receive connectors having groups of electrodes. The physician is not required to manually map each electrode with its corresponding input channel. Electrodes are coupled to the corresponding input channels in groups through connectors having a unique identification (ID). The system is configured to read the unique ID of each connector and establish its identity. Based on the ID, the system configures itself to automatically correlate or associate each electrode with its corresponding input channel when the connectors are first inserted into the receiving sockets, and again if the connectors are removed and re-inserted into different positions in the receiving sockets, to insure the electrodes are always mapped to the same input channels.