Our Dual-Stage ICM Algorithm Tests Itself, Not You

The LUX-Dx™ Insertable Cardiac Monitor (ICM) System uses a dual-stage algorithm that automatically detects and then verifies data before sending results, so it can reject false positives, provide actionable insights and get you to an accurate diagnosis faster.

It’s time for data that works. It’s time for something different.

An ICM that checks its work

See algorithm performance results across multiple arrythmias for Lux-Dx ICM.

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LUX-Dx ICM Algorithms

Advanced Algorithms for Enhanced Accuracy

AF Algorithm

Monitors R-R variability to detect potential AF rhythms. The verification stage uses adaptive morphology, noise discrimination and pattern detectors to identify and reject false positives.

ECG Showing an AT/Atrial Flutter Heart Rhythm

AT Algorithm

Uses rate, duration and built-in flexibility to detect only high-rate rhythms sustained for a prolonged period of time, or to detect short duration AT/Atrial Flutter. The AT algorithm is independent of AF algorithm.

ECG Showing a Heart Rhythm During a Pause Episode

Pause Algorithm

Monitors R-R duration to detect pause episodes. The verification stage rejects false positives by using a dynamic noise-reduction filter, signal-to-noise ratio and loss-of-signal conditions.

ECG Showing a Heart Rhythm During a Bradycardia Episode

Brady Algorithm

Uses rate and duration parameters during the detection stage to identify potential brady episodes. During the verification stage, episodes are further examined for under-sensing before being rejected.

ECG Showing a Heart Rhythm During a Tachycardia Episode

Tachy Algorithm

Uses traditional ICD-based rate and duration parameters during the detection stage. The verification stage uses a machine-learning-based decision tree to identify potential tachy episodes. If they are not within the rate zone, they’re rejected as noise.