Five Million Nights: Temporal Representations in Anomaly Detection Algorithms for Wearable Health
Virtual: https://events.vtools.ieee.org/m/497194Wearable health devices are widely adopted tools that continuously collect physiological data, and thus make possible passive, continuous, data-driven assessments of people’s health. Algorithms can detect acute illnesses, like COVID-19, by distinguishing physiological time series data that contains anomalous patterns, often during sleep, from presumably healthy, stable baseline data. However, some individuals’ baseline states contain... Read more