Home // eTELEMED 2019, The Eleventh International Conference on eHealth, Telemedicine, and Social Medicine // View article
Authors:
Reto Wettstein
Christian Fegeler
Keywords: Algorithm Evaluation; Anomaly Detection; Health State; Wearable Generated Data.
Abstract:
Wearable devices facilitate continuous monitoring of personal health data. However, automated health state analysis based on this data is challenging in various aspects. This work presents preliminary algorithm evaluation results for health state irregularity detection based on a continuous data sample collected by an in-ear heart rate and body temperature sensor. The results show that a One-Class Support Vector Machine could be suitable for the task.
Pages: 116 to 117
Copyright: Copyright (c) IARIA, 2019
Publication date: February 24, 2019
Published in: conference
ISSN: 2308-4359
ISBN: 978-1-61208-688-0
Location: Athens, Greece
Dates: from February 24, 2019 to February 28, 2019