Remote Cardiac Monitoring

The art of remote cardiac monitoring

PulseLayer advances the well-being of patients with rhythm disorders while putting high-quality, real-time data in front of physicians the moment it matters.

How it works

A device-agnostic platform pairing modern monitoring hardware with our own analysis algorithms.

Mobile Cardiac Telemetry gives patients and care teams a practical alternative to in-hospital ECG monitoring. Data is captured continuously and streamed live, then flows into the health platforms clinicians already work in — without interrupting the patient’s daily routine. The result is a more representative picture of the patient’s rhythm, at a lower cost than an extended hospital stay.

Rapid enrollment

Getting a patient onto a study takes about a minute.

Create the patient

Enter demographics once; the record is reusable for every future study.

Create the study

Pick the monitoring type and duration, and the study is ready to assign.

Apply the monitor

Fit the device and the patient leaves wearing it, already streaming.

Review in real time

Data lands in the portal as it is recorded, ready for review and reporting.

~60 seconds end to end

Market by the numbers

Why continuous, ambulatory rhythm monitoring matters.

6 million
Americans living with atrial fibrillation (AFib)
500%
Increase in stroke risk associated with AFib
5%
Of the US population has an arrhythmia
1 in 5
Will receive an ECG during a hospital visit in the US
80%
Of sudden cardiac death cases involve ventricular arrhythmias

Sources: PubMed 33541537 · AHA Journals

For patients

  • Continuous monitoring from home or on the go
  • A more accurate representation of everyday life
  • Higher compliance through everyday wearability
  • Lower cost by avoiding lengthy hospital stays
  • Discreet and comfortable for easy day-to-day use
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For providers

  • Less burden from in-hospital monitoring
  • Integrates with existing EMR/EHR chart platforms
  • Data viewable in real time
  • Concierge customer service
  • Proprietary MCOT analysis algorithm
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