Cargando…
Detecting Metabolic Thresholds from Nonlinear Analysis of Heart Rate Time Series: A Review
Heart rate time series are widely used to characterize physiological states and athletic performance. Among the main indicators of metabolic and physiological states, the detection of metabolic thresholds is an important tool in establishing training protocols in both sport and clinical fields. This...
Autores principales: | Zimatore, Giovanna, Gallotta, Maria Chiara, Campanella, Matteo, Skarzynski, Piotr H., Maulucci, Giuseppe, Serantoni, Cassandra, De Spirito, Marco, Curzi, Davide, Guidetti, Laura, Baldari, Carlo, Hatzopoulos, Stavros |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9564658/ https://www.ncbi.nlm.nih.gov/pubmed/36232025 http://dx.doi.org/10.3390/ijerph191912719 |
Ejemplares similares
-
Automatic Detection of Aerobic Threshold through Recurrence Quantification Analysis of Heart Rate Time Series
por: Zimatore, Giovanna, et al.
Publicado: (2023) -
Recurrence quantification analysis of heart rate variability to detect both ventilatory thresholds
por: Zimatore, Giovanna, et al.
Publicado: (2021) -
Live Streaming vs. Pre-Recorded Training during the COVID-19 Pandemic in Italian Rhythmic Gymnastics
por: Cardinali, Ludovica, et al.
Publicado: (2022) -
Physical Education on the Beach: An Alternative Way to Improve Primary School Children’s Skill- and Health-Related Outcomes during the COVID-19 Pandemic
por: Gallotta, Maria Chiara, et al.
Publicado: (2022) -
Chronic Effects of Asymmetric and Symmetric Sport Load in Varsity Athletes across a Six Month Sport Season
por: Bonavolontà, Valerio, et al.
Publicado: (2023)