AnalyzePowerBandsByEpisodes: Analyze power band by episodes

In RHRV: Heart Rate Variability Analysis of ECG Data

Analyze power band by episodes

Description

Analyzes the ULF, VLF, LF and HF bands from a given indexFreqAnalysis allowing to evaluate the application of a desired function inside and outside each episode.

Usage

AnalyzePowerBandsByEpisodes(
  HRVData,
  indexFreqAnalysis = length(HRVData$FreqAnalysis),
  Tag = "",
  verbose = NULL,
  func,
  ...
)

Arguments

HRVData	Data structure that stores the beats register and information related to it.
indexFreqAnalysis	Integer value denoting which frequency analysis is going to be analyzed using func. Default: 1
Tag	Type of episode
verbose	Deprecated argument maintained for compatibility, use SetVerbose() instead
func	Function to be applied to each power band inside and outside episodes
...	Optional arguments for func.

Value

Returns a list with two objects, that is, the values of the application of the selected function inside ("resultIn") and outside ("resultOut") episodes in the given indexFreqAnalysis. Each of these list has another set of lists: the "ULF", "VLF", "LF" and "HF" lists.

Examples

## Not run: 
hrv.data = CreateHRVData()
hrv.data = SetVerbose(hrv.data, TRUE)
hrv.data = LoadBeat(hrv.data, fileType = "WFDB", "a03", RecordPath ="beatsFolder/", 
                    annotator = "qrs")
                    hrv.data = LoadApneaWFDB(hrv.data, RecordName="a03",Tag="Apnea",
                                             RecordPath="beatsFolder/")
hrv.data = BuildNIHR(hrv.data)
hrv.data = InterpolateNIHR (hrv.data, freqhr = 4)
hrv.data = CreateFreqAnalysis(hrv.data)
hrv.data = CalculatePowerBand( hrv.data , indexFreqAnalysis= 1,
                               type = "wavelet", wavelet = "la8",
                                bandtolerance = 0.01, relative = FALSE)
results = AnalyzePowerBandsByEpisodes(hrv.data,indexFreqAnalysis=1,
                                       Tag="Apnea",func=mean)
## End(Not run)

RHRV documentation built on Oct. 1, 2024, 1:08 a.m.