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Quantifying community mobility after stroke using mobile ph..:
, In:
Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers
,
O'Brien, Megan K.
;
Mummidisetty, Chaithanya K.
;
Bo, Xiao
.. - p. 161-164 , 2017
Link:
https://dl.acm.org/doi/10.1145/3123024.3123085
RT T1 <cTitle>Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers</cTitle>: T1 <Title>Quantifying community mobility after stroke using mobile phone technology</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3123085&Exemplar=1&LAN=DE A1 O'Brien, Megan K. A1 Mummidisetty, Chaithanya K. A1 Bo, Xiao A1 Poellabauer, Christian A1 Jayaraman, Arun PB ACM YR 2017 K1 GPS K1 activity recognition K1 machine learning K1 smartphone K1 stroke rehabilitation K1 wearable technology K1 Applied computing K1 Life and medical sciences K1 Health informatics K1 Consumer health SP 161 OP 164 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3123024.3123085 DO https://dl.acm.org/doi/10.1145/3123024.3123085 SF ELIB - SuUB Bremen
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