Key result
A Gaussian Mixture Model and nonlinear mixed effects model with Gaussian Process prior were developed to predict upper limb function recovery after stroke using free-living accelerometer data.
Why the study?
Analyzing free-living accelerometer data to measure daily activities is challenging due to large observation volumes and inter-subject variability, motivating efficient statistical methods to predict upper limb recovery after stroke.
A novel statistical approach using Gaussian Mixture Models and nonlinear mixed effects models can be used to evaluate upper limb function recovery after stroke using free-living accelerometer data.
May support remote monitoring of post-stroke recovery; leaves open prospective validation before clinical use.
Accelerometer devices are becoming efficient tools in clinical studies for automatically measuring the activities of daily living. Such data provides a time series describing activity level at every second and displays a subject's activity pattern throughout a day. However, the analysis of such data is very challenging due to the large number of observations produced each second and the variability among subjects. The purpose of this study is to develop efficient statistical analysis techniques for predicting the recovery level of the upper limb function after stroke based on the free-living accelerometer data. We propose to use a Gaussian Mixture Model (GMM)-based method for clustering and extracting new features to capture the information contained in the raw data. A nonlinear mixed effects model with Gaussian Process prior for the random effects is developed as the predictive model for evaluating the recovery level of the upper limb function. Results of applying to the accelerometer data for patients after stroke are presented.
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Tang et al. (2020) studied Stroke. Free-living accelerometer data analysis was evaluated on Recovery level of upper limb function. A Gaussian Mixture Model and nonlinear mixed effects model with Gaussian Process prior were developed to predict upper limb function recovery after stroke using free-living accelerometer data.
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