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 |
|---|---|
| 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): |  Urheberrechtlich geschützt |
