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mhealth

A collection of utilities, analytics for the My Heart Counts app.

Analytical Packages

Time series clustering http://www.jstatsoft.org/v62/i01/paper

How to analyze smartphone sensor data with R and the BreakoutDetection package http://www.r-bloggers.com/how-to-analyze-smartphone-sensor-data-with-r-and-the-breakoutdetection-package/

BreakoutDetection package https://blog.twitter.com/2014/breakout-detection-in-the-wild

AnomalyDetection package http://www.r-bloggers.com/twitters-new-r-package-for-anomaly-detection/

Time Series Outlier Detection package http://www.r-bloggers.com/a-new-r-package-for-detecting-unusual-time-series/

#Resources for time series feature extraction

Papers about the DWT and how to use it in feature extraction:

http://www.eejournal.ktu.lt/index.php/elt/article/view/1816 Feature Extraction and Reduction of Wavelet Transform Coefficients for EMG Pattern Classification A. Phinyomark, A. Nuidod, P. Phukpattaranont, C. Limsakul

http://www.cis.fordham.edu/wisdm/includes/files/sensorKDD-2010.pdf Activity Recognition using Cell Phone Accelerometers Jennifer R. Kwapisz, Gary M. Weiss, Samuel A. Moore

http://www.mdpi.com/1424-8220/11/2/1721 Leg Motion Classification with Artificial Neural Networks Using Wavelet-Based Features of Gyroscope Signals Birsel Ayrulu-Erdem and Billur Barshan

http://www.mdpi.com/1424-8220/13/4/5317 Classification of Sporting Activities Using Smartphone Accelerometers Edmond Mitchell *, David Monaghan and Noel E. O’Connor

http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6575488 Identification of Sleep Apnea Events using Discrete Wavelet Transform of Respiration, ECG and Accelerometer Signals Kevin T. Sweeney, Edmond Mitchell, Jennifer Gaughran, Thomas Kane, Richard Costello, Shirley Coyle, Noel E. O’Connor, Dermot Diamond

http://djj.ee.ntu.edu.tw/Tutorial_Wavelet%20for%20Pattern%20Recognition.pdf A Tutorial for Wavelet Pattern Recognition. Guan-Chen Pan

Other resources for feature extraction from time series data:

https://edux.fit.cvut.cz/oppa/MI-PDD/prednasky/l8-signal-extraction.pdf (slide #46 is a good overview)

http://stats.stackexchange.com/questions/50807/features-for-time-series-classification

https://github.com/nickgillian/grt/blob/master/GRT/FeatureExtractionModules

https://cran.r-project.org/web/views/TimeSeries.html