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A two†stage model for wearable device data

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  • Jiawei Bai
  • Yifei Sun
  • Jennifer A. Schrack
  • Ciprian M. Crainiceanu
  • Mei†Cheng Wang

Abstract

Recent advances of wearable computing technology have allowed continuous health monitoring in large observational studies and clinical trials. Examples of data collected by wearable devices include minute†by†minute physical activity proxies measured by accelerometers or heart rate. The analysis of data generated by wearable devices has so far been quite limited to crude summaries, for example, the mean activity count over the day. To better utilize the full data and account for the dynamics of activity level in the time domain, we introduce a two†stage regression model for the minute†by†minute physical activity proxy data. The model allows for both time†varying parameters and time†invariant parameters, which helps capture both the transition dynamics between active/inactive periods (Stage 1) and the activity intensity dynamics during active periods (Stage 2). The approach extends methods developed for zero†inflated Poisson data to account for the high†dimensionality and time†dependence of the high density data generated by wearable devices. Methods are motivated by and applied to the Baltimore Longitudinal Study of Aging.

Suggested Citation

  • Jiawei Bai & Yifei Sun & Jennifer A. Schrack & Ciprian M. Crainiceanu & Mei†Cheng Wang, 2018. "A two†stage model for wearable device data," Biometrics, The International Biometric Society, vol. 74(2), pages 744-752, June.
    • Handle: RePEc:bla:biomet:v:74:y:2018:i:2:p:744-752
    DOI: 10.1111/biom.12781
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    References listed on IDEAS

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    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Haochang Shou & Vadim Zipunnikov & Ciprian M. Crainiceanu & Sonja Greven, 2015. "Structured functional principal component analysis," Biometrics, The International Biometric Society, vol. 71(1), pages 247-257, March.
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    1. Yukun Zhang & Haocheng Li & Sarah Kozey Keadle & Charles E. Matthews & Raymond J. Carroll, 2019. "A Review of Statistical Analyses on Physical Activity Data Collected from Accelerometers," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(2), pages 465-476, July.

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