6 papers
Sedentary Behavior Classification for Wearable Sensors with a CNN-BiLSTM Model
Yuliang Chen, Weiwei Shi, Jingjing Zou +10
Accurate detection of sedentary behavior is important for studying health risks related to prolonged sitting, but posture-based classification remains challenging with wearable sen…
Modeling Physical Activity Change as Smooth Transformations: Temporal and Amplitude Patterns Associated with Physical Function in Older Women
Rong W. Zablocki, Steve Nguyen, Yacun Wang +11
Purpose: To investigate whether longitudinal changes in timing and magnitude of PA are associated with physical function (PF) in older women. Methods: Women from OPACH study with a…
MoCA: Multi-modal Cross-masked Autoencoder for Time Series in Digital Health
Howon Ryu, Yuliang Chen, Yacun Wang +5
Wearable devices enable continuous multi-modal physiological and behavioral monitoring, yet analysis of these data streams faces fundamental challenges including the lack of gold-s…
A doubly robust estimator for the Mann Whitney Wilcoxon Rank Sum Test when applied for causal inference in observational studies
Ruohui Chen, Tuo Lin, Lin Liu +8
The Mann-Whitney-Wilcoxon rank sum test (MWWRST) is a widely used method for comparing two treatment groups in randomized control trials, particularly when dealing with highly skew…
Sedentary Behavior Estimation with Hip-worn Accelerometer Data: Segmentation, Classification and Thresholding
Yiren Wang, Fatima Tuz-Zahra, Rong Zablocki +9
Cohort studies are increasingly using accelerometers for physical activity and sedentary behavior estimation. These devices tend to be less error-prone than self-report, can captur…
A Riemann Manifold Model Framework for Longitudinal Changes in Physical Activity Patterns
Jingjing Zou, Tuo Lin, Chongzhi Di +7
Physical activity (PA) is significantly associated with many health outcomes. The wide usage of wearable accelerometer-based activity trackers in recent years has provided a unique…