Position recognition algorithm using a two-stage pattern classification set applied in sleep tracking
- 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.
Author: | Eva Rodríguez de Trujillo, Ralf SeepoldORCiDGND, Maksym GaidukORCiD |
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DOI: | https://doi.org/10.1016/j.procs.2018.08.095 |
ISSN: | 1877-0509 |
Parent Title (English): | Procedia Computer Science |
Volume: | 126 |
Document Type: | Article |
Language: | English |
Year of Publication: | 2018 |
Release Date: | 2019/01/16 |
Tag: | Movement detection; Sleep positions; Sleep study; Pattern recognition |
First Page: | 1819 |
Last Page: | 1827 |
Note: | 22nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2018), 3 - 5 September 2018, Belgrade, Serbia |
Institutes: | Fakultät Informatik |
Open Access?: | Ja |
Relevance: | Peer reviewed Publikation in Liste der AG4 |
Licence (German): | ![]() |