Skip to main content
P

PneumoWave

PneumoWave develops a chest-worn biosensor that continuously monitors respiratory patterns and transmits data for real-time analysis, enabling healthcare providers to detect opioid-induced respiratory depression (OIRD) promptly. The platform's alert system facilitates timely interventions, significantly reducing the risk of respiratory distress in patients with opioid dependencies.

Holytown, United KingdomFounded 2018211K+ followers
Updated 20 months ago

Funding

$9.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

SN
Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Opioid-induced respiratory depression (OIRD) poses a significant risk for patients with opioid dependencies, often leading to severe respiratory distress and potential fatalities. Current methods for monitoring respiratory function are limited in providing continuous, real-time data necessary for timely intervention. The lack of proactive monitoring solutions contributes to delayed detection and intervention, increasing the risk of adverse events.

Solution

PneumoWave offers a solution for real-time respiratory monitoring through a chest-worn biosensor that continuously captures and transmits respiratory data. The sensor wirelessly transmits data to a cloud platform where proprietary algorithms analyze the data to detect potential respiratory adverse events. Healthcare providers are promptly notified through an alert system, enabling timely interventions and personalized treatment adjustments. The integrated platform aims to shift respiratory care towards proactive intervention, reducing the risk of respiratory distress in patients.

Target Audience

The primary target audience includes healthcare providers and clinical researchers focused on managing patients at risk of opioid-induced respiratory depression and other respiratory-related conditions.

Features

  • Small, chest-worn biosensor for continuous data capture and wireless transmission
  • Proprietary algorithms for real-time detection of respiratory adverse events
  • Cloud platform for remote data viewing and personalized treatment
  • Alert system for prompt notification of potential respiratory distress
  • Data Collection Mobile (DCM) system for documenting physical movement during sleep and other activities
This profile is AI-generated and may contain inaccuracies.