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This paper examines the challenges of using electrocardiogram (ECG) monitoring in wearable computing systems for addressing drowsiness detection while driving. The approaches for extrapolating a person's waking/sleeping state using time-series data is provided and verified against real ECG data available from the PhysioBank data archives. A system incorporating an off-the-shelf wearable ECG monitor...
The collection of long-term health data is accelerating with the advent of portable/wearable medical devices including electrocardiograms (ECGs). This large corpus of data presents great opportunities to improve the quality of cardiac care. However, analyzing the data from these sensors is a challenge; the relevant information from $\sim 120$ 000 heart beats per patient per day must be condensed...
In this paper, a novel method for representation of heart rate has been introduced which is obtaining by using RR interval time series signal to plot the Triangle mapping consist of all the ordered pairs: (RRi, abs ((RR)̅ - RRi), i = 1, ..., N where (RR)̅ is the mean of RR intervals. We obtained a triangle from the distribution of these points and by analyzing it, we could extracted some geometric...
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