COVEM

Technology

• Device aggregating multimodal signals (ECG, EEG, movement, respiratory rate, etc.) to detect a change in the patient’s respiratory status. In the event of dyspnea :
  • Automatic modification of respiratory system parameters
  • Alert to medical staff
• Version with camera to detect facial tics signs of respiratory discomfort + thermal camera to detect respiratory frequency.

Market

• Applications: Dyspnea detection, in hospital and at home, based on the signals captured, Improved respiratory equipment
• 65% of inpatients and over 90% of post-ICU patients are monitored manually, not continuously.
• Spot checks at 4-8 hour intervals: changes in vital signs are not detected.
• 50-70% of cases of patient deterioration can be predicted hours before they occur.
• Respiratory rate is the highest-ranking variable in predictive models.
• 60% of patients on home non-invasive ventilation (NIV) are thought to be poorly ventilated.
• The sensors integrated into current ventilators are not sufficiently accurate or effective in detecting respiratory disorders.

IP

• 4 patent families
  • 2012 FR1254089 – granted CA, EP, JP, US, FR
  • 2021 PCT/FR2021/051756 – pending EP, US
  • 2022 EP21306638.4 – pending EP, US
  • 2023 PCT/IB2023/00028 – pending EP, US

Development

• 10 years of research (AP-HP Sorbonne Université CNRS)
• Prototype under development

Valorisation strategy

• Licensing