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.
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 Type
OBSERVATIONAL
Enrollment
25
Detection of falls in nursing home residents and acute geriatric hospital patiients
Geriatrische Klinik
Sankt Gallen, Canton of St. Gallen, Switzerland
RECRUITINGFalls detection rate
Number of falls detected by the system compared to falls detected by nursing staff members
Time frame: Through study completion, an average of 6 months
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