Cargando…
Automatic Detection of Aerobic Threshold through Recurrence Quantification Analysis of Heart Rate Time Series
During exercise with increasing intensity, the human body transforms energy with mechanisms dependent upon actual requirements. Three phases of the body’s energy utilization are recognized, characterized by different metabolic processes, and separated by two threshold points, called aerobic (AerT) a...
Autores principales: | Zimatore, Giovanna, Serantoni, Cassandra, Gallotta, Maria Chiara, Guidetti, Laura, Maulucci, Giuseppe, De Spirito, Marco |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9916349/ https://www.ncbi.nlm.nih.gov/pubmed/36767364 http://dx.doi.org/10.3390/ijerph20031998 |
Ejemplares similares
-
Detecting Metabolic Thresholds from Nonlinear Analysis of Heart Rate Time Series: A Review
por: Zimatore, Giovanna, et al.
Publicado: (2022) -
Recurrence quantification analysis of heart rate variability to detect both ventilatory thresholds
por: Zimatore, Giovanna, et al.
Publicado: (2021) -
Unsupervised Clustering of Heartbeat Dynamics Allows for Real Time and Personalized Improvement in Cardiovascular Fitness
por: Serantoni, Cassandra, et al.
Publicado: (2022) -
Effects of Aerobic Exercise Based upon Heart Rate at Aerobic Threshold in Obese Elderly Subjects with Type 2 Diabetes
por: Emerenziani, Gian Pietro, et al.
Publicado: (2015) -
Putting the Personalized Metabolic Avatar into Production: A Comparison between Deep-Learning and Statistical Models for Weight Prediction
por: Abeltino, Alessio, et al.
Publicado: (2023)