The New Golden Standard: the Early Warning Score Algorithm
NCT04292158 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 80
Last updated 2020-05-15
Summary
The objective is this study is the development and implementation of a smart algorithm to compute an early warning indicator able to predict early patient deterioration.
Conditions
- Early Warning Score
Interventions
- DEVICE
-
SomnoTouch
The patient will be equipped with the SomnoTouch device. This device is able to record and estimate the following data: ECG data PPG data Heart rate Respiration rate Blood pressure (mmHg) Oxygen saturation (%). All patient will be stored for further analysis.
- DEVICE
-
MOX
The patient will be equipped with the MOX device. This device is able to record and estimate the following data: Accelerometers data Activity Body posture All patient will be stored for further analysis.
Sponsors & Collaborators
-
Academisch Ziekenhuis Maastricht
collaborator OTHER -
KU Leuven
collaborator OTHER -
Ziekenhuis Oost-Limburg
collaborator OTHER -
Hasselt University
collaborator OTHER -
Maastricht University
collaborator OTHER -
University of Liege
lead OTHER
Principal Investigators
-
Patrizio Lancellotti · Liège University Hospital - CHU de Liège
-
Pierre Delanaye · Liège University Hospital - CHU de Liège
-
Arnaud Ancion · Liège University Hospital - CHU de Liège
-
Pieter Vandervoort · Department of Cardiology and Department Future Health, Ziekenhuis Oost-Limburg
-
Dianne de Korte-de Boer · Maastricht University Medical Centre, department of Anesthesiology
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2019-04-01
- Primary Completion
- 2019-11-04
- Completion
- 2020-04-30
Countries
- Belgium
- Netherlands
Study Locations
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