Extended Central Tendency Measure and difference plot for heart rate variability analysis

Belfort, Rascius-Endrigho de Alcântara Uchôa; Treccossi, Sara Priscila Carvalho; Silva, João L.F.; Pillat, V. G.; Freitas, Celso B.N.; Santos, Laurita dos

doi:10.1016/j.medengphy.2019.09.024

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite1

Independent0

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We use central tendency measures to assist in interpreting the results obtained with a second-order difference plot. Central tendency measures play an important role in understanding the typical values of a time series and how they change over time ( Cohen et al., 1996 ; Belfort et al., 2019 ; dos Santos et al., 2015 ). Represented by a second-order difference plot, this method allows to obtain a comprehensive understanding of a time series allowing us to infer the behavior of the virus spreading and uncover valuable pieces of information from time-dependent data.…”

Section: Introductionmentioning

confidence: 99%