Identification of Arrhythmia Using ECG Signal Patterns

Extraction of notable points from ECG data: A description of a dataset related to 30-s seated and 30-s stand up

“…These are: The presented dataset allows the implementation of techniques to automatically identify the potential heart condition problems a person might currently have and in the future [1 , 2] . The use of mobile devices for the data acquisition and integration of the acquisition of electric signals allows the identification of a heartbeat in a practical way [ 3 , p. 19], [4 , 5] . ECG data allow the individuals’ monitoring during free time, allowing the identification of possible problems, which may occur anytime [6 , 7] .…”

“…The use of mobile devices for the data acquisition and integration of the acquisition of electric signals allows the identification of a heartbeat in a practical way [ 3 , p. 19], [4 , 5] .…”