Non-Invasive
Heart Failure Monitoring.

Built for Routine Care.

Lung congestion monitoring that enables proactive HF care and dramatically reduces readmissions

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lungs
Cardioset moves heart failure care upstream

Cardioset moves heart failure care upstream

For routine use in hospitals
to reduce hospitalizations and readmissions

By turning subtle changes in congestion into actionable insights, CardioSet enables earlier interventions, more informed treatment decisions, and fewer readmissions.

Simple and user-friendly
Simple and user-friendly
30-second measurement
30-second
 measurement
Point of care monitoring
Point of care
 monitoring

Clinically Proven

Reduces HF Readmissions & Improves Outcomes

~50%
Reduction in all-cause mortality
up to
75%
Reduction in HF hospitalization risk across HF populations
over
60%
Reduction in hospital HF costs
heart

Lung-Specific Impedance. Redefined.

iLung is a non-invasive monitor that detects subtle pulmonary fluid changes before symptoms appear. Using six standard ECG patches and advanced signal processing, it isolates the lung signal from surrounding chest tissues to reveal early congestion. The system generates relative and normalized lung fluid indices, providing clinicians with actionable insight for earlier, better-informed treatment decisions.

ilung

Efficient

  • Seamless, immediate integration

  • Cost-efficient deployment at scale

Accurate

  • Operator independent

  • 10x higher sensitivity vs.
    traditional techniques

Simple

  • No radiation

  • No invasive procedures

  • Standard ECG patches

Heart Failure Monitoring
Across the Entire Care Continuum


Designed for routine use at the point of care

Acute Care Hospitals
Acute Care
Hospitals
Reduce readmissions and guide treatment decisions
Community HF Centers
Community
HF Centers
Enable informed treatment and proactive care
Nursery Homes
Nursery
Homes
Support proactive monitoring and earlier intervention
Personal Home Care
Personal
Home Care
Enable continuous congestion monitoring and proactive management

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