Robust Preprocessing for Health Care Monitoring Framework

IEEE Communications Society
Publication Type:
Conference Proceeding
2009 11th IEEE International Conference on e-Health Networking, Applications and Services, 2009, pp. 169 - 174
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Remote health care monitoring is an emerging application that helps to reduce the cost of health care and at the same time improve its quality. However, by its nature, medical sensor data is often unreliable and massive as the data is collected from numerous sensors operating in noisy environments. Therefore, ensuring the reliability of the sensor data and the scalability of the health care monitoring services are among major challenge and is a determining factor in success of the system. In this paper, we propose a robust and flexible processing module as part of an active health care monitoring framework. It is responsible for preparing the sensor data and performing some initial assessment of the data for input to later modules. The proposed preprocessing architecture contains five stages ; validation, transformation, cleaning, reduction and cross-verification. The module is evaluated using synthetic blood pressure data.
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