TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Rodríguez de Trujillo, Eva
A1  - Seepold, Ralf
A1  - Gaiduk, Maksym
T1  - Position recognition algorithm using a two-stage pattern classification set applied in sleep tracking
JF  - Procedia Computer Science
N2  - The overall goal of this work is to detect and analyze a person's movement, breathing and heart rate during sleep in a common bed overnight without any additional physical contact. The measurement is performed with the help of
sensors placed between the mattress and the frame. A two-stage pattern classification algorithm based has been implemented that applies statistics analysis to recognize the position of patients. The system is implemented in a sensors-network, hosting several nodes and communication end-points to support quick and efficient classification. The overall tests show convincing results for the position recognition and a reasonable overlap in matching.
KW  - Movement detection
KW  - Sleep positions
KW  - Sleep study
KW  - Pattern recognition
Y1  - 2018
SN  - 1877-0509
SS  - 1877-0509
U6  - https://doi.org/10.1016/j.procs.2018.08.095
DO  - https://doi.org/10.1016/j.procs.2018.08.095
N1  - 22nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2018), 3 - 5 September 2018, Belgrade, Serbia
VL  - 126
SP  - 1819
EP  - 1827
ER  -