Data Mining Methods for Health Monitoring in Systems Based on Wearable Sensors

KRISTINA, PODERIENE and LIEPA, BIKULCIENE (2015) Data Mining Methods for Health Monitoring in Systems Based on Wearable Sensors. In: Third International Conference on Advances in Information Processing and Communication Technology - IPCT 2015, 10-11 December, 2015, Rome, Italy.

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Abstract

The ITEA2 project CareWare approach efficiently perform sensor data processing and data fusion in order to visualize the holistic view of user’s health status personalized, intuitively and trustworthy way and give feedback for user about individualized intensity and time of exercising control. The ranks of Hankel matrix and second order coherence matrices for describing complexity of ECG and relationship between parameters of ECG also is informative method for evaluation of the physiological state.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: wearable sensors, physiological state, complex systems.
Depositing User: Mr. John Steve
Date Deposited: 05 Apr 2019 12:10
Last Modified: 05 Apr 2019 12:10
URI: http://publications.theired.org/id/eprint/1180

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