Package index
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accelToPhysioExperiment() - Wrap tri-axial acceleration in a PhysioExperiment
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activityFragmentation() - Physical-activity fragmentation
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adlBudget() - Time budget of recognised activities
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adlFeatures() - Windowed accelerometer features for activity recognition
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adlToICF() - Map recognised ADL activities to ICF Activities & Participation codes
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autoCalibrateAccel() - Gravity-based accelerometer auto-calibration
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classifyBouts() - Classify physical-activity intensity and detect activity bouts
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coleKripke() - Cole-Kripke actigraphy sleep/wake scoring
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computeENMO() - Euclidean Norm Minus One (ENMO) acceleration metric
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computeENMOa() - ENMO-abs (ENMOa) acceleration metric
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computeMAD() - Mean Amplitude Deviation (MAD) acceleration metric
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detectNonWear() - Detect non-wear periods
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detectSteps() - Detect steps from tri-axial acceleration
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diurnalProfile() - Diurnal activity profile
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freeLivingICF() - Map free-living metrics to ICF codes (performance qualifier)
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intensityGradient() - Rowlands intensity gradient
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mxMetrics() - MX physical-activity intensity metrics
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paIntensityThresholds() - Physical-activity intensity ENMO cut-points
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readAccelCSV() - Read a raw accelerometer CSV export into a PhysioExperiment
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recognizeADL() - Recognise ADL activities in a raw recording
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spo2Metrics() - Oximetry (SpO2) metrics
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summarizeAppleSleep() - Summarise Apple Watch sleep stages into clinical metrics
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summarizeFreeLiving() - Summarise free-living physical behaviour over one or more days
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summarizeSleep() - Summarise a sleep/wake series into standard sleep metrics
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summarizeSleepStages() - Summarise staged sleep into per-night clinical metrics
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trainADL()predict(<adl_model>) - Train an ADL activity recogniser from labelled windows
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upperLimbUse() - Real-world upper-limb use from bilateral wrist accelerometry