Influence of parameter selection in fixed sample entropy of surface diaphragm electromyography for estimating respiratory activity

Fixed sample entropy (fSampEn) is a robust technique that allows the evaluation of inspiratory effort in diaphragm electromyography (EMGdi) signals, and has potential utility in sleep studies. To appropriately estimate respiratory effort, fSampEn requires the adjustment of several parameters. The ai...

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Detalles Bibliográficos
Autores: Estrada Petrocelli, Luis, Torres Cebrián, Abel|||0000-0003-2678-1303, Sarlabous Uranga, Leonardo|||0000-0002-0495-8422, Jané Campos, Raimon|||0000-0002-6541-8729
Tipo de recurso: artículo
Fecha de publicación:2017
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:2117/111407
Acceso en línea:https://hdl.handle.net/2117/111407
https://dx.doi.org/10.3390/e19090460
Access Level:acceso abierto
Palabra clave:Entropy
Sleep disorders
Fixed sample entropy (fSampEn)
Non-invasive respiratory monitoring
Respiratory activity
Respiratory effort
Surface diaphragm electromyography
Entropia
Àrees temàtiques de la UPC::Enginyeria biomèdica
Descripción
Sumario:Fixed sample entropy (fSampEn) is a robust technique that allows the evaluation of inspiratory effort in diaphragm electromyography (EMGdi) signals, and has potential utility in sleep studies. To appropriately estimate respiratory effort, fSampEn requires the adjustment of several parameters. The aims of the present study were to evaluate the influence of the embedding dimension m, the tolerance value r, the size of the moving window, and the sampling frequency, and to establish recommendations for estimating the respiratory activity when using the fSampEn on surface EMGdi recorded for different inspiratory efforts. Values of m equal to 1 and r ranging from 0.1 to 0.64, and m equal to 2 and r ranging from 0.13 to 0.45, were found to be suitable for evaluating respiratory activity. fSampEn was less affected by window size than classical amplitude parameters. Finally, variations in sampling frequency could influence fSampEn results. In conclusion, the findings suggest the potential utility of fSampEn for estimating muscle respiratory effort in further sleep studies.