TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Rajab, Mohammed
A1  - Seepold, Ralf
T1  - High performance dynamic threshold calibration for RR interval detection in a QRS complex using a parallel programing
T2  - Mobile Networks for Biometric Data Analysis (Lecture notes in electrical engineering ; Vol. 392)
N2  - These days computer analysis of ECG (Electrocardiograms) signals is common. There are many real-time QRS recognition algorithms; one of these algorithms is Pan-Tompkins Algorithm. Which the Pan-Tompkins Algorithm can detect QRS complexes of ECG signals. The proposed algorithm is analysed the data stream of the heartbeat based on the digital analysis of the amplitude, the bandwidth, and the slope. In addition to that, the stress algorithm compares whether the current heartbeat is similar or different to the last heartbeat after detecting the ECG signals. This algorithm determines the stress detection for the patient on the real-time. In order to implement the new algorithm with higher performance, the parallel programming language CUDA is used. The algorithm determines stress at the same time by determining the RR interval. The algorithm uses a different function as beat detector and a beat classifier of stress.
Y1  - 2016
SN  - 978-3-319-39698-9
SB  - 978-3-319-39698-9
SN  - 978-3-319-39700-9
SB  - 978-3-319-39700-9
U6  - https://doi.org/10.1007/978-3-319-39700-9_16
DO  - https://doi.org/10.1007/978-3-319-39700-9_16
SP  - 205
EP  - 213
PB  - Springer
CY  - Cham
ER  -