TY  - GEN 
AU  - La Blunda, Luigi
AU  - Gutiérrez Madroñal, Lorena
AU  - Wagner, Matthias F.
AU  - Medina Bulo, María Inmaculada
A4  - Ingeniería Informática
PY  - 2020
SN  - 2169-3536
UR  - http://hdl.handle.net/10498/24083
AB  - Falls can have serious consequences for people, leading to restrictions in mobility or, in the worst case, to traumatic-based cases of death. To provide rapid assistance, a portable fall detection system has been developed that is capable of detecting...
LA  - eng
PB  - IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC,
KW  - Acceleration
KW  - Electrocardiography
KW  - Biomedical monitoring
KW  - Body area networks
KW  - Prototypes
KW  - Reliability
KW  - Body area network
KW  - eHealth
KW  - fall detection
KW  - human activity
KW  - wireless smart sensor networks
TI  - A Wearable Fall Detection System Based on Body Area Networks
DO  - 10.1109/ACCESS.2020.3032497
ER  -