NOTOCORD-hem is a comprehensive, GLP-compliant software platform for assessing physiological functions across cardiovascular, respiratory, and nervous system applications in nonclinical and life science academic research. With more than 160 advanced modules, the platform enables researchers to acquire, analyze, and interpret physiological data while instantly generating customized reports.
The HEM 5.1 feature release introduces a major advancement in cardiac data analysis with the launch of ARR50l, an AI-powered arrhythmia detection module developed specifically for large animal studies.
ARR50l
AI-Powered Arrhythmia Detection for Large Animal Studies
The ARR50l module is a next-generation arrhythmia detection solution developed specifically for large animal ECG analysis. Built on neural network–based algorithms, ARR50l enables both real-time detection during ECG acquisition and offline analysis, accelerating study workflows while maintaining high analytical accuracy.
Key capabilities include:
- Neural network–based real-time beat detection
- Automated detection of five major arrhythmia types:
- Atrial
- Junctional ventricular
- Ventricular
- Second-degree AV block
- Sinus pauses
- Fully automated heartbeat and arrhythmia detection with artefact handling and configurable sinus-pause detection
- Trained and validated on millions of heartbeats from dogs, non-human primates, and pigs
- Demonstrates higher sensitivity and lower error rates compared to the previous ARR30a module
- GLP and 21 CFR Part 11 compliant, with audit trail functionality and user permission controls
By significantly reducing false positives, ARR50l decreases the time required for arrhythmia review and supports more efficient, reproducible cardiac analysis.
Figure 1: Sensitivity (purple bars) and Error Rate (pink dots) in large animals. The secondary y-axis on the right (pink) applies to the Error Rate.
Figure 2: Sensitivity (left) and Error Rate (right) for ARR30a (orange) and ARR50l (purple) in large animals. Error Rates are displayed using a logarithmic scale.
Excel Wizard – 64-bit Improvements
Faster Reporting and Enhanced Data Interaction
The Excel Wizard in NOTOCORD-hem 5.1 introduces substantial performance and usability improvements for 64-bit environments.
Enhancements include:
- Performance optimization with recalculation duration reduced by up to 98 percent when functions reference event markers
- Improved data visualization and navigation within the Edit wizard
- Dedicated zoom and pan controls
- Keyboard shortcuts for faster interaction
- Improved axis scaling for clearer data interpretation
These updates significantly enhance reporting efficiency, particularly for complex datasets and event-driven analyses.
RME11s
Reference Mark Editor for Seizure Analysis
The new RME11s module introduces an advanced reference mark editor for seizure analysis. It includes a synchronized video display, enabling precise manual editing and validation of seizure marks generated using SZR30a.
This capability supports more accurate review workflows by allowing direct correlation between physiological signals and video data.
RME10a
Enhanced Arrhythmia Mark Review and Auditability
Improvements to RME10a, the reference mark editor for arrhythmia analysis, introduce:
- Enhanced mark management capabilities
- Improved audit trail tracking
- New reviewing workflows, designed to support regulatory compliance and efficient quality control
These enhancements strengthen traceability and usability during arrhythmia review and validation.
Designed for Compliant, Efficient Research
With NOTOCORD-hem 5.1, researchers benefit from AI-driven automation, optimized reporting performance, and enhanced review tools, all within a validated, GLP-compliant framework. This release represents a meaningful advancement in physiological data analysis, supporting accurate interpretation, efficient workflows, and confident decision-making in nonclinical research.
