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Full-Text Articles in Physical Sciences and Mathematics
Cleaver: Classification Of Everyday Activities Via Ensemble Recognizers, Samantha Hsu
Cleaver: Classification Of Everyday Activities Via Ensemble Recognizers, Samantha Hsu
Master's Theses
Physical activity can have immediate and long-term benefits on health and reduce the risk for chronic diseases. Valid measures of physical activity are needed in order to improve our understanding of the exact relationship between physical activity and health. Activity monitors have become a standard for measuring physical activity; accelerometers in particular are widely used in research and consumer products because they are objective, inexpensive, and practical. Previous studies have experimented with different monitor placements and classification methods. However, the majority of these methods were developed using data collected in controlled, laboratory-based settings, which is not reliably representative of real …
Sudden Cardiac Arrest Prediction Through Heart Rate Variability Analysis, Luke Joseph Plewa
Sudden Cardiac Arrest Prediction Through Heart Rate Variability Analysis, Luke Joseph Plewa
Master's Theses
The increase in popularity for wearable technologies (see: Apple Watch and Microsoft Band) has opened the door for an Internet of Things solution to healthcare. One of the most prevalent healthcare problems today is the poor survival rate of out-of hospital sudden cardiac arrests (9.5% on 360,000 cases in the USA in 2013). It has been proven that heart rate derived features can give an early indicator of sudden cardiac arrest, and that providing an early warning has the potential to save many lives. Many of these new wearable devices are capable of providing this warning through their heart rate …