Reference Source

References

constants

summary
public	V CHANNELS: number
public	V CHARACTERISTIC: string
public	V DATA_PROP: string
public	V EPOCH_DURATION: number
public	V EPOCH_INTERVAL: number
public	V FFT_BINS: number
public	V FREQUENCY_BANDS: {"delta": , "theta": , "alpha": , "beta": , "gamma": *}
public	V GAIN: number
public	V NOTCH_BW: number
public	V ORDER: number
public	V PREGAIN: boolean
public	V SAMPLING_RATE: number
public	V USE_LOG: boolean

pipes/filtering

summary
public	F bandpassFilter(options: Object): Observable<Sample\|Epoch> Applies a bandpass filter to EEG Data.
public	F highpassFilter(options: Object): Observable<Sample\|Epoch> Applies a highpass filter to EEG Data.
public	F lowpassFilter(options: Object): Observable<Sample\|Epoch> Applies a lowpass filter to EEG Data.
public	F notchFilter(options: Object): Observable<Sample\|Epoch> Applies a notch filter to EEG Data.

pipes/frequency

summary
public	F alphaPower(): Observable<Array<number>> Returns the average alpha power from a stream of PSDs
public	F averagePower(): Observable Takes a stream of PSDs and returns a sream of arrays, containing the average power in each channel
public	F betaPower(): Observable<Array<number>> Returns the average beta power from a stream of PSDs
public	F bufferFFT(options: Object): Observable Takes a stream of Samples and applies a Fast Fourier Transform to return a stream of PSDs (Power Spectral Density).
public	F deltaPower(): Observable<Array<number>> Returns the average delta power from a stream of PSDs
public	F fft(options: Object): Observable<PSD> Applies a Fast Fourier Transform to a stream of Epochs of EEG data and returns a stream of PSDs (Power Spectral Density).
public	F gammaPower(): Observable<Array<number>> Returns the average gamma power from a stream of PSDs
public	F powerByBand(bands: Object): Observable<Array<number>> Takes a stream of PSDs and returns the average power for each of the classic EEG bands (alpha, beta, theta, etc.).
public	F sliceFFT(range: Array<number>): Observable<PSD> Slices a stream of PSDs to a specific frequency range defined by a minimum and maximum frequency in Hz
public	F thetaPower(): Observable<Array<number>> Returns the average theta power from a stream of PSDs

pipes/reducer

summary
public	F averageDeep(): Observable

pipes/unit

summary
public	F voltsToMicrovolts(options: Object): Observable<Sample\|Epoch> Converts a stream of EEG data (either eegObjects or Epochs) from volts to microvolts

pipes/utility

summary
public	F addInfo(info: Object): Observable<Sample\|Epoch\|PSD> Annotates stream with user-defined metadata
public	F addSignalQuality(options: Object): Observable<Epoch>
public	F bufferToEpoch(options: Object): Observable<Epoch> Takes an array or RxJS buffer of EEG Samples and returns an Epoch.
public	F epoch(options: Object): Observable Converts a stream of individual Samples of EEG data into a stream of Epochs of a given duration emitted at specified interval.
public	F pickChannels(options: Object): Observable
public	F removeChannels(options: Object): Observable

utils

summary
public	F createEEG(objectPattern: {"channels": , "samplingRate": , "mock": , "NaNRange": , "sine": , "csv": })
public	F createMockStream(options: {}): *
public	F groupByChannel(samplesBuffer: Array<Sample>, dataProp: string): Array<Array<number>> Get a 2D data array organized by channel from an array of Samples.
public	F isEpoch(eegObject: *)
public	F max(array: *) A collection of useful statistics functions Adapted from Daniel Hug's gist: https://gist.github.com/Daniel-Hug/7273430
public	F mean(array: *)
public	F meanAbsoluteDeviation(array: ):
public	F min(array: *)
public	F range(array: *)
public	F standardDeviation(array: *)
public	F sum(array: ):
public	F variance(array: ):
public	F zeroPad(Array: , number: ): * ZeroPads inputs for FFTs of non base 2
public	V average: *

Directories