THE PROBLEM
Noise is the quietest problem in healthcare
ECGs are effective and economical diagnostic tools but can be subject to low signal amplitude and noise contamination, therefore, impeding clinical decisions and workflows.
HeartKey® Rhythm provides rhythm detection and analysis for ambulatory ECGs, along with novel signal conditioning that enhances signal clarity and reduces noise, enabling providers to diagnose, treat, and manage patients more efficiently.
THE BETTER SOLUTION
Lead with Clarity. Amplify the Opportunity.
At the core of HeartKey Rhythm is B-Secur’s robust proprietary signal processing engine capable of detecting and filtering noise artifacts.
For clinicians
Higher diagnostic yield
High quality data
Faster and more confident ECG interpretation leading to faster turnaround
Diagnostic precision facilitating early detection
For service providers
Less time/cost per scan due to technicians spending less time reviewing unusable data and increased confidence in interpretation
Platform & device agnostic solution
Complete resolution of low amplitude signals avoiding under-sensing and potentially requiring repeat testing
Plug & play solution with no development or training required
THE RESULTS
Clinically proven,
next level clarity.
THE B-SECUR SOLUTION SUITE
HeartKey® Family
HeartKey® Rhythm
Advanced rhythm detection and analysis for ambulatory ECGs
- Advanced Signal Conditioning
- Beat Detection
HeartKey® Core*
Basic rhythm detection for live ECG assessment
On device or cloud
FDA cleared
- Signal Conditioning
A range of features including Rhythm Detection and Heart Rate
HeartKey® Wellness*
Unique health, wellness and stress insights that go beyond the basics
On device or cloud
Complies with the relevant standards
- Signal Conditioning
Stress, Heart Rate, Heart Rate Variability and Energy Expenditure
HeartKey® ID*
Leverages unique ECG characteristics to securely authenticate an individual
On device
Complies with ISO/IEC 19795-1 and ISO/IEC 19795-2 standard
- Signal Conditioning
User Identification and Authentication via ECG signal analysis
*Part of the HeartKey Edge library, K200884
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