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mhealthtools: A Modular R Package for Extracting Features from Mobile and Wearable Sensor Data

Authors: Phillip Snyder; Meghasyam Tummalacherla; Thanneer Perumal; Larsson Omberg;

mhealthtools: A Modular R Package for Extracting Features from Mobile and Wearable Sensor Data

Abstract

mhealthtools is an open-source, modular R package for preprocessing and extracting features from remote sensor data collected using mobile and wearable devices. The package is written in a functional style so that various components of the preprocessing and feature extraction pipeline can be inserted, omitted, moved around, extended, and shared between multiple libraries with minimal overhead. Depending on the data source, the package includes a default set of preprocessing and feature extraction behavior for convenient exploratory analysis.

Keywords

accelerometer, ehealth, feature extraction, tapping, parkinsons, digital health, heart rate, gait, mobile health, tremor, mhealth

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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