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Sleep Apnea Detection in Fog Based Ambient Assisted Living System
International Conference on Recent Trends and Applications in Computer Science and Information Technology
Ambient Assisted Living environments use different sensors and actuators to enable their endusers to live in their preferred environments. Unlike smart homes, where a target audience is usually a family unit, standard Ambient Assisted Living end users are care receivers and care providers. This article describes an approach based on the fog computing paradigm to detect sleep apnea in an Ambient Assisted Living context unobtrusively. The edge nodes process and detect local activities of dailydblp:conf/rtacsit/DimitrievskiKZL21 fatcat:mu62tvh7pfatrcweon5l7vddqm