Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

FilterNIHR

Artefact filter based in an adaptive threshold


Description

An algorithm that uses adaptive thresholds for rejecting those beats different from the given threshold more than a certain value. The rule for beat acceptation or rejection is to compare with previous, following and with the updated mean. We apply also a comparison with acceptable physiological values (default values 25 and 200 bpm).

Usage

FilterNIHR(HRVData, long=50, last=13, minbpm=25, maxbpm=200, mini=NULL, 
		maxi=NULL, fixed=NULL, verbose=NULL)

Arguments

HRVData

Data structure that stores the beats register and information related to it

long

Number of beats to calculate the updated mean

last

Initial threshold

minbpm

Minimum physiologically acceptable value for HR

maxbpm

Maximum physiologically acceptable value for HR

mini

Deprecated argument maintained for compatibility

maxi

Deprecated argument maintained for compatibility

fixed

Deprecated argument maintained for compatibility

verbose

Deprecated argument maintained for compatibility, use SetVerbose() instead

Value

Returns HRVData, the structure that contains beat positions register, associated heart rate instantaneous values also, and now filtered heart rate signal

Author(s)

M. Lado, A. Mendez, D. Olivieri, L. Rodriguez, X. Vila

References

X. Vila, F. Palacios, J. Presedo, M. Fernandez-Delgado, P. Felix, S. Barro, "Time-Frequency analysis of heart-rate variability," IEEE Eng. Med. Biol. Magazine 16, 119-125 (1997) L. Rodriguez-Linares, A. Mendez, M. Lado, D. Olivieri, X. Vila, I. Gomez-Conde, "An open source tool for heart rate variability spectral analysis", Computer Methods and Programs in Biomedicine 103, 39-50, doi:10.1016/j.cmpb.2010.05.012 (2011)


RHRV

Heart Rate Variability Analysis of ECG Data

v4.2.6
GPL-2
Authors
Leandro Rodriguez-Linares [aut, cre], Xose Vila [aut], Maria Jose Lado [aut], Arturo Mendez [aut], Abraham Otero [aut], Constantino Antonio Garcia [aut], Matti Lassila [ctb]
Initial release
2020-12-14

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.