Fall detection algorithm in energy efficient multistate sensor system
| Autor: | Egils Avots, Gundars Korats, Aleksejs Skorodumovs, Janis Hofmanis |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Battery (electricity)
Engineering Activities of daily living business.industry Monitoring Ambulatory Complex event processing Poison control Signal Processing Computer-Assisted Equipment Design Energy consumption Accelerometer Reliability engineering Accelerometry Activities of Daily Living Injury prevention Humans Accidental Falls Computer Simulation business Algorithms Simulation Aged Efficient energy use |
| Zdroj: | EMBC |
| DOI: | 10.1109/embc.2015.7319508 |
| Popis: | Health issues for elderly people may lead to different injuries obtained during simple activities of daily living (ADL). Potentially the most dangerous are unintentional falls that may be critical or even lethal to some patients due to the heavy injury risk. Many fall detection systems are proposed but only recently such health care systems became available. Nevertheless sensor design, accuracy as well as energy consumption efficiency can be improved. In this paper we present a single 3-axial accelerometer energy-efficient sensor system. Power saving is achieved by selective event processing triggered by fall detection procedure. The results in our simulations show 100% accuracy when the threshold parameters are chosen correctly. Estimated energy consumption seems to extend battery life significantly. |
| Databáze: | OpenAIRE |
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