Respiratory Continuous Monitoring

RespiraFibre uses a tiny sensor to add continuous breathing waveform monitoring helping teams notice meaningful change sooner within existing workflows.

Why this matters
70%
Inaccuracy rate in traditional intermittent manual RR monitoring.
250K+
Annual preventable global hospital deaths due to late deterioration.
$30B+
Potential global healthcare savings through reduced ICU admissions.
Direct Source Sensing
Move beyond motion‑artifacts of SpO₂ and ECG. Our sensor captures breathing directly at the source.
Predictive Recognition
Analyze high‑res waveform morphology to surface markers of distress before alarms trigger.
Closing the Gap
Provide clinical‑grade visibility during high‑risk periods when staff are away from the bedside.
Manual checks are error-prone
Subtle changes can be missed
Documentation burden adds friction

Our Solution

Ultra-sensitive sensors for accurate, continuous respiratory monitoring.

Imperceptible Sensors

Our sensors detect every breath without discomfort or workflow disruption.

Real-Time Data

A lightweight reusable node wirelessly transmits high-fidelity breathing data to secure hospital systems (e.g. EPIC).

AI-Powered Insights

Enables earlier detection of deterioration, with future expansion to classify cough, speech, and shortness of breath.

Sustainable Design

Disposable sensors with reusable modules — ultra-low cost, zero electronic waste, scalable globally.

Reduced ICU Admissions

Continuous monitoring allows earlier intervention, helping to reduce ICU admissions and improve patient outcomes.

Shorter Hospital Stay

Early detection of deterioration can lower average length of stay (LoS), freeing beds and reducing costs.

How it works

Seamless integration for patients and clinicians.

  1. Universal Interface Integration

Our sensor does not add new wearables, and have no skin‑perfusion issues—just seamless sensing within existing routine workflows.

  1. Direct-Source Waveform Capture

By sensing directly, we eliminate the motion noise that plagues SpO₂‑derived monitoring. The result is a clean, motion‑tolerant respiratory waveform with a high signal‑to‑noise ratio.

  1. Clinician Alerts

Real‑time data is processed to alert staff to deterioration.

What Clinicians Say:

"A valid, reliable and autonomous source of respiratory rate data would be enormously valuable"

Prof. Ramani Moonesinghe
Prof. Ramani Moonesinghe
NHS England Interim Director of Patient Safety

Explore collaboration

We are engaging clinical partners, pilot sites, and strategic collaborators to shape development priorities and deployment pathways.