Anomaly Detection Framework for Wearables Data: A Perspective Review on Data Concepts, Data Analysis Algorithms and Prospects

Wearable devices use sensors to evaluate physiological parameters, such as the heart rate, pulse rate, number of steps taken, body fat and diet. The continuous monitoring of physiological parameters offers a potential solution to assess personal healthcare. Identifying outliers or anomalies in heart...

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Detalles Bibliográficos
Autores principales: Sunny, Jithin S., Patro, C. Pawan K., Karnani, Khushi, Pingle, Sandeep C., Lin, Feng, Anekoji, Misa, Jones, Lawrence D., Kesari, Santosh, Ashili, Shashaanka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840097/
https://www.ncbi.nlm.nih.gov/pubmed/35161502
http://dx.doi.org/10.3390/s22030756

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840097/
https://www.ncbi.nlm.nih.gov/pubmed/35161502
http://dx.doi.org/10.3390/s22030756

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