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Clinical Trial Summary

This is an observational study that intends to compare falls or fall-risk related alarms derived from a three-dimensional sensor system with the clinical reality definded by attending nurses.


Clinical Trial Description

Three dimensional sensor technology (3DS) is available for fall detection and fall prevention (e.g. unwanted getting up in persons with risks for frequent falls) in several institutions in Europe and Switzerland. 3DS are capable to analyze completely anonymized data and alert nurses towards a dangerous (fall) or potentially dangerous (getting out of bed) event during day- and nighttime. Multi-sensor technology has been applied to assess activities of daily living in persons cognitive problems living at home. To our knowledge, 3DS technology has not been examined as part of a structured clinical protocol. In addition, the combination of two digital technologies (3DS and a server based software) as an integrative platform could help to develop algorithms to analyze complex human activities such as using a toilet. Automated analyses of such complex activities have the potential to support nursing staff in the future. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT04393272
Study type Observational
Source Geriatrische Klinik St. Gallen
Contact Thomas Münzer, MD
Phone +41712438880
Email thomas.muenzer@geriatrie-sg.ch
Status Recruiting
Phase
Start date May 1, 2021
Completion date July 31, 2023

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