Automated health alerts using in home sensor data for embedded health assessment
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The document discusses a system for unobtrusive, continuous health monitoring using embedded sensors in homes to detect early health changes in seniors. A preliminary study analyzed sensor data and clinical alert ratings, leading to the development of a health change detection model based on multiple classification approaches. This method enables early treatment by identifying potential health issues promptly, while reducing compliance challenges associated with traditional monitoring methods.
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Automated health alerts using in home sensor data for embedded health assessment
- 1. AUTOMATED HEALTH ALERTS USING IN-HOME SENSOR DATA FOR EMBEDDED HEALTH ASSESSMENT ABSTRACT We present an example of unobtrusive, continuous monitoring in the home for the purpose of assessing early health changes. Sensors embedded in the environment capture behavior and activity patterns. Changes in patterns are detected as potential signs of changing health. We _rst present results of a preliminary study investigating 22 features extracted from in- home sensor data. A 1-D alert algorithm was then implemented to generate health alerts to clinicians in a senior housing facility. Clinicians analyze each alert and provide a rating on the clinical relevance. These ratings are then used as ground truth for training and testing classi_ers. Here, we present the methodology for four classi_cation approaches that fuse multisensory data. Results are shown using embedded sensor data and health alert ratings collected on 21 seniors over nine months. The best results show similar performance for two techniques, where one approach uses only domain knowledge and the second uses supervised learning for training. Finally, we propose a health change detection model based on these results and clinical expertise. The system of in-home sensors and algorithms for automated health alerts provides a method for detecting health problems very early so that early treatment is possible. This method of passive in-home sensing alleviates compliance issues.