ICT-based system to predict and prevent falls (iStoppFalls): study protocol for an international multicenter randomized controlled trial

Yves J. Gschwind; Sabine Eichberg; Hannah Marston; Andreas Ejupi; Rosario De Helios; Michael Kroll; Mario Drobics; Janneke Annegarn; Rainer Wieching; Stephen Lord; Konstantin Aal; Kim Delbaere

ICT-based system to predict and prevent falls (iStoppFalls): study protocol for an international multicenter randomized controlled trial

Yves J. Gschwind, Sabine Eichberg, Hannah Marston, Andreas Ejupi, Rosario De Helios, Michael Kroll, Mario Drobics, Janneke Annegarn, Rainer Wieching, Stephen Lord, Konstantin Aal, Kim Delbaere

Digital Health Information Systems

Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung

Originalsprache	Englisch
Seiten (von - bis)	1-13
Seitenumfang	13
Fachzeitschrift	BMC Geriatr
Volume	14
Publikationsstatus	Veröffentlicht - 2014

Research Field

Außerhalb der AIT Research Fields
Ehemaliges Research Field - Digital Safety and Security

Diese Publikation zitieren

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title = "ICT-based system to predict and prevent falls (iStoppFalls): study protocol for an international multicenter randomized controlled trial",

author = "Gschwind, {Yves J.} and Sabine Eichberg and Hannah Marston and Andreas Ejupi and {De Helios}, Rosario and Michael Kroll and Mario Drobics and Janneke Annegarn and Rainer Wieching and Stephen Lord and Konstantin Aal and Kim Delbaere",

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TY - JOUR

T1 - ICT-based system to predict and prevent falls (iStoppFalls): study protocol for an international multicenter randomized controlled trial

AU - Gschwind, Yves J.

AU - Eichberg, Sabine

AU - Marston, Hannah

AU - Ejupi, Andreas

AU - De Helios, Rosario

AU - Kroll, Michael

AU - Drobics, Mario

AU - Annegarn, Janneke

AU - Wieching, Rainer

AU - Lord, Stephen

AU - Aal, Konstantin

AU - Delbaere, Kim

PY - 2014

Y1 - 2014

M3 - Article

SN - 1471-2318

VL - 14

SP - 1

EP - 13

JO - BMC Geriatr

JF - BMC Geriatr

ER -