Unsupervised Clustering of Heartbeat Dynamics Allows for Real Time and Personalized Improvement in Cardiovascular Fitness

Unsupervised Clustering of Heartbeat Dynamics Allows for Real Time and Personalized Improvement in Cardiovascular Fitness

<i>VO</i><sub>2</sub><i>max</i> index has a significant impact on overall health. Its estimation through wearables notifies the user of his level of fitness but cannot provide a detailed analysis of the time intervals in which heartbeat dynamics are changed and/or...

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Bibliographic Details
Main Authors: Cassandra Serantoni, Giovanna Zimatore, Giada Bianchetti, Alessio Abeltino, Marco De Spirito, Giuseppe Maulucci
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Sensors
Subjects:
<i>VO<sub>2</sub>max</i>
cardiovascular fitness
machine learning
multiple modality biosignal processing
personalized medicine
physiological time series
Online Access:https://www.mdpi.com/1424-8220/22/11/3974

Internet

https://www.mdpi.com/1424-8220/22/11/3974

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