Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1141979 | Operations Research for Health Care | 2015 | 6 Pages |
Abstract
Falls pose a significant public health problem. The usefulness of wearable sensors for detection of falls is well-known. We propose a novel optimization-based approach that was formulated for ranking exposures to falls using information streamed from multiple sensors. Our method incorporates statistical estimation. We illustrate our technique on synthetic data. Future research is aimed at assessing the validity of this new method.
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Authors
Alla Kammerdiner,