Crossmark

ICT-based system to predict and prevent falls (iStoppFalls): results from an international multicenter randomized controlled trial

Crossref DOI link: https://doi.org/10.1186/s11556-015-0155-6

Published Online: 2015-11-27

Published Print: 2015-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Gschwind, Yves J.

Eichberg, Sabine

Ejupi, Andreas

de Rosario, Helios

Kroll, Michael

Marston, Hannah R.

Drobics, Mario

Annegarn, Janneke

Wieching, Rainer

Lord, Stephen R.

Aal, Konstantin

Vaziri, Daryoush

Woodbury, Ashley

Fink, Dennis

Delbaere, Kim