scholarly journals Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges

Sensors ◽  
2013 ◽  
Vol 13 (12) ◽  
pp. 17472-17500 ◽  
Author(s):  
Hadi Banaee ◽  
Mobyen Ahmed ◽  
Amy Loutfi
Keyword(s):  
Data Mining ◽  
Health Monitoring ◽  
Wearable Sensors ◽  
Monitoring Systems ◽  
Recent Trends ◽  
Health Monitoring Systems

Data Mining for Damage Detection in Engineering Structures

2011 ◽  
pp. 245-250
Author(s):  
Ramdev Kanapady ◽  
Aleksandar Lazarevic
Keyword(s):  
Data Mining ◽  
Damage Detection ◽  
Health Monitoring ◽  
Monitoring Systems ◽  
State Of Health ◽  
Engineering Structures ◽  
Current State ◽  
Periodic Monitoring ◽  
Bridge Structures ◽  
Health Monitoring Systems

The process of implementing and maintaining a structural health monitoring system consists of operational evaluation, data processing, damage detection, and life prediction of structures. This process involves the observation of a structure over a period of time using continuous or periodic monitoring of spaced measurements, the extraction of features from these measurements, and the analysis of these features to determine the current state of health of the system. Such health monitoring systems are common for bridge structures, and many examples are citied in (Maalej et al., 2002).

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