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