Pneumowave, Ltd.


PneumoWave is a digital health company focused on revolutionizing respiratory care and overdose prevention through innovative biosensor technology and real-time data analytics. Their mission is to prevent deaths and reduce hospital admissions from respiratory causes, especially in high-risk groups such as opioid users. They develop wearable biosensors and digital platforms for continuous monitoring, early detection of respiratory depression, and timely intervention, aiming to transform patient management and save lives.

Industries

artificial-intelligence
health-care
health-diagnostics
machine-learning
medical-device
sensor
therapeutics

Nr. of Employees

small (1-50)

Pneumowave, Ltd.

Holytown, North Lanarkshire, United Kingdom, Europe


Products

DCM (Data Collection Mobile) activity monitor

Wearable activity and sleep monitoring system comprising a wrist-worn sensor and cloud platform for data capture, analysis and clinician access. Cleared via FDA 510(k) for sleep and activity monitoring.

ALERT (real-time respiratory monitoring and alerting system)

Integrated solution pairing a chest-worn biosensor with cloud analytics and real-time alerting to detect opioid-induced respiratory depression and other life-threatening respiratory events.


Services

Clinical validation partnerships and trial implementation

Design and delivery of observational and interventional clinical studies in collaboration with academic and NHS partners to collect labelled physiological data and validate device/algorithm performance.

Remote monitoring platform deployment

Deployment and configuration of cloud-hosted data ingestion, clinician dashboards and alerting workflows to support continuous remote monitoring and clinician access to patient data.

Algorithm development and digital biomarker generation

Development, training and validation of signal-processing pipelines and machine-learning models to detect respiratory adverse events and produce validated digital biomarkers.

Expertise Areas

  • Wearable sensor development for respiratory monitoring
  • Real-time signal processing and machine-learning for physiological event detection
  • Remote patient monitoring and virtual care workflows
  • Clinical trial management and multi-centre observational studies
  • Show More (4)

Key Technologies

  • Chest wall motion sensing (wearable accelerometry/IMU)
  • Wearable biosensors
  • Machine-learning algorithms for event detection
  • Cloud-based data management and clinical dashboards
  • Show More (4)

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