Bed exit prediction based on movement and posture data

Falls in nursing homes and hospitals take often place immediately after a bed exit of a patient. An alarm signaling the exit from the bed may already be too late for staff to react. In this paper we explore the possibilities of detecting the sequences of preparatory movements before the bed exit and...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Harma, Aki, ten Kate, Warner, Espina, Javier
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accelerometers Detectors Graphical models Hidden Markov models Hospitals Radiofrequency identification Sensitivity
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