respiratory disorders
Conditions
Interventions
Group 1: During their stay in the recovery room, the respiratory curves of patients with previous anesthesia (after preoperative consent) will be measured with a camera system set up in distance and a
Sponsors
Universitätsklinikum der RWTH Aachen
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: Minimum Age, General Anesthesia, preoperatively enlightened
Exclusion criteria
Exclusion criteria: The surgical area is in the thoracic area, bandages in the thoracic area, patient is not lung-healthy (COPD GOLD 2-4, lung emphysema, other shortness of breath at rest, etc.)
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| (1) use of advanced an non-contact technologies to extract respiratory curves/patterns, (2) analyze or clinically assess them using AI-neural networks and expert systems, and (3) diagnose and possibly even predict specific respiratory disorders | — |
Secondary
| Measure | Time frame |
|---|---|
| Analyze or clinically evaluate breathing curves recorded by the chest strap (1) using AI - neural networks and expert systems - and (2) diagnose and possibly even predict specific breathing disorders | — |
Countries
Germany
Contacts
Public ContactCarina Barbosa Pereira
Universitätsklinikum der RWTH Aachen: Klinik für Anästhesiologie, AcuteCare InnovationHub
Outcome results
None listed