A novel robust index to assess beat-to-beat variability in heart rate time-series analysis

A new index is proposed to estimate the variance of the differentiated heart rate (RR) time series from its truncated histogram. The index is more robust to artifacts than the standard deviation of the differentiated RR time series (rMSDD) and, unlike the pNN50, does not saturate for very high or ve...

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Detalles Bibliográficos
Autores: García González, Miguel Ángel|||0000-0002-8043-4794, Pallàs-Areny, Ramon|||0000-0002-0430-5309
Tipo de recurso: artículo
Fecha de publicación:2001
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/1395
Acceso en línea:https://hdl.handle.net/2117/1395
Access Level:acceso abierto
Palabra clave:Electrocardiography
Neurophysiology
Medical signal processing
Time series
Time-domain analysis
Robust index
Beat-to-beat variability assessment
Electrodiagnostics
ECG analysis
Differentiated heart rate time series
Truncated histogram
pNN50
Artifacts
Electrocardiografia
Neurofisiologia
Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
Descripción
Sumario:A new index is proposed to estimate the variance of the differentiated heart rate (RR) time series from its truncated histogram. The index is more robust to artifacts than the standard deviation of the differentiated RR time series (rMSDD) and, unlike the pNN50, does not saturate for very high or very low heart rate variability.