SignalHF Predictive AI¹

The FDA-cleared AI Algorithm¹ That Predicts HF Hospitalizations


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FDA-cleared Algorithm

Addressing Heart Failure: A Vital Concern for Patients and Health Systems

64 million² people affected globally

A leading cause of hospitalization over the age of 65 in the US³

A financial burden on healthcare systems

Features & Benefits

SignalHF, the First Manufacturer-Agnostic HF Prediction Score Based on Cardiac Implantable Electronic Devices (CIED) Data

  • SignalHF⁴ is an FDA-cleared AI algorithm
  • Uses data collected from CIEDs (PM, CRT-P, ICD, CRT-D)
  • Algorithm is agnostic for Biotronik, Boston Scientific and Medtronic CIEDs using 90 days of physiological data, demographics, lead measurements and episodes & therapies
  • Evaluates the risk of HF hospitalizations in the next 30 days
  • Generates alerts for SignalHF score above alert threshold

Advancing Care Quality for Individuals with Heart Failure

  • Identify indications of deterioration in heart failure patients
  • Evaluate the risk of hospitalizations due to heart failure
  • React by adjusting the care and treatment for your heart failure patients

Dashboard at a glance:

An explicable and actionable score

  • Leverage contributing factors to quickly pinpoint relevant physiological signals
  • Identify clear next steps based on SignalHF’s assessment:

• Check patient symptoms, with a phone call or an automated SMS
• Pause the alert to follow up on the patient in a few days
• Adapt medication

¹ SignalHF is an FDA-cleared Class II medical device, see the instructions for use for more information.
² Groenewegen, A., Rutten, F. H., Mosterd, A., & Hoes, A. W. (2020). Epidemiology of heart failure. European Journal of Heart Failure, 22(8), 1342–1356. doi:10.1002/ejhf.1858
³ Healthcare Cost and Utilization Project (HCUP). (2011). HCUP Facts and Figures: Statistics on Hospital-Based Care in the United States, 2009. Agency for Healthcare Research and Quality (US).
⁴ SignalHF is compatible with ICD/CRT-D from Medtronic, Boston Scientific and Biotronik and IPG/CRT-P from Medtronic and Biotronik able to measure thoracic impedence.
⁵ “Heart Failure Events Prediction Algorithm for Patients Implanted With Multi-brand CIED – FORESEE-HF StudyResults”. N. Varma. EHRA 2024
⁶ Number of days before the event when the alert is reached (for 75% of the events)