Response to “Spike detection algorithm performance and methods of acquiring expert opinion”

2010 ◽  
Vol 121 (11) ◽  
pp. 1968-1968 ◽  
Author(s):  
Jonathan J. Halford
Keyword(s):  
Expert Opinion ◽  
Detection Algorithm ◽  
Spike Detection ◽  
Algorithm Performance

Cluster-based spike detection algorithm adapts to interpatient and intrapatient variation in spike morphology

2012 ◽  
Vol 210 (2) ◽  
pp. 259-265 ◽  
Author(s):  
Antoine Nonclercq ◽  
Martine Foulon ◽  
Denis Verheulpen ◽  
Cathy De Cock ◽  
Marga Buzatu ◽  
...  
Keyword(s):  
Detection Algorithm ◽  
Spike Detection ◽  
Spike Morphology

Performance Investigations of Electrocardiogram Signal Using Distributed Arithmetic Mixed Signal Filter

2017 ◽  
Vol 7 (7) ◽  
pp. 64
Author(s):  
Tushar H Jaware
Keyword(s):  
Detection Algorithm ◽  
Signal Quality ◽  
Distributed Arithmetic ◽  
False Detection ◽  
Complete Structure ◽  
Algorithm Performance ◽  
Mixed Signal ◽  
Memory Efficiency ◽  
Electrocardiogram Signal ◽  
Signal Filter

A Distributed Arithmetic mixed signal filter is proposed simple moving arithmetic operations the response can be improved for real time QRS detection. Signal preprocessing and detection algorithm involves different classification methods such as wavelet based de-noising procedure which reduces noise from ECG signal. The complete structure of proposed algorithms gives accurate detection of QRS wave with high memory efficiency and speed. Algorithm performance was evaluated against the Arrhythmia Database. The numerical results indicates that Proposed algorithm finally achieved minimum false detection rate for the standard database, is functionally reliable under the condition of poor signal quality in the measured ECG data.

Modified Iterative Sphere Decoding Algorithm in LTE System

2013 ◽  
Vol 765-767 ◽  
pp. 611-614
Author(s):  
Qin Zhu ◽  
Xiao Wen Li
Keyword(s):  
Channel Equalization ◽  
Detection Algorithm ◽  
Qr Decomposition ◽  
Sphere Decoding ◽  
Decoding Algorithm ◽  
Algorithm Performance ◽  
Awgn Channel ◽  
Term Evolution ◽  
Simulation Results

In the long-term evolution (LTE) system, channel equalization makes compensation to restore the original signal, the paper puts forward iteration sphere decoding algorithm which combines traditional sphere decoding and the improved QR based on the conventional QR decomposition detection algorithm. It can effectively reduce the system complexity. At the same time, in QPSK and 16QAM, the simulation results show that the improved QR iterative sphere decoding algorithm performance is better with higher SNR in AWGN channel.

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