PMID- 19163255
OWN - NLM
STAT- MEDLINE
DCOM- 20090428
LR  - 20200928
IS  - 2375-7477 (Print)
IS  - 2375-7477 (Linking)
VI  - 2008
DP  - 2008
TI  - FPGA-core defibrillator using wavelet-fuzzy ECG arrhythmia classification.
PG  - 2673-6
LID - 10.1109/IEMBS.2008.4649752 [doi]
AB  - An electrocardiogram (ECG) feature extraction and classification system has been 
      developed and evaluated using Quartus II 7.1 belong to Altera Ltd. In wavelet 
      domain QRS complexes were detected and each complex was used to locate the peaks 
      of the individual waves. Then, fuzzy classifier block used these features to 
      classify ECG beats. Three types of arrhythmias and abnormalities were detected 
      using the procedure. The completed algorithm was embedded into Field Programmable 
      Gate Array (FPGA). The completed prototype was tested through software-generated 
      signals, in which test scenarios covering several kinds of ECG signals on MIT-BIH 
      Database. For the purpose of feeding signals into the FPGA, a software was 
      designed to read signal files and import them to the LPT port of computer that 
      was connected to FPGA. From the results, it was achieved that the proposed 
      prototype could do real time monitoring of ECG signal for arrhythmia detection. 
      We also implemented algorithm in a sequential structure device like AVR 
      microcontroller with 16 MHZ clock for the same purpose. External clock of FPGA is 
      50 MHZ and by utilizing of Phase Lock Loop (PLL) component inside device, it was 
      possible to increase the clock up to 1.2 GHZ in internal blocks. Final results 
      compare speed and cost of resource usage in both devices. It shows that in cost 
      of more resource usage, FPGA provides higher speed of computation; because FPGA 
      makes the algorithm able to compute most parts in parallel manner.
FAU - Nambakhsh, Mohammad
AU  - Nambakhsh M
AD  - Div of Physics and Engineering, King's College London, Strand, London, UK. 
      Mohammad.Nambakhsh@kcl.ac.uk
FAU - Tavakoli, Vahid
AU  - Tavakoli V
FAU - Sahba, Nima
AU  - Sahba N
LA  - eng
PT  - Journal Article
PL  - United States
TA  - Annu Int Conf IEEE Eng Med Biol Soc
JT  - Annual International Conference of the IEEE Engineering in Medicine and Biology 
      Society. IEEE Engineering in Medicine and Biology Society. Annual International 
      Conference
JID - 101763872
SB  - IM
MH  - Algorithms
MH  - Arrhythmias, Cardiac/*classification/*diagnosis/physiopathology
MH  - Computers
MH  - *Defibrillators
MH  - Electrocardiography/*instrumentation/methods
MH  - Equipment Design
MH  - Fourier Analysis
MH  - Fuzzy Logic
MH  - Heart Rate/physiology
MH  - Humans
MH  - Models, Theoretical
MH  - Reproducibility of Results
MH  - Signal Processing, Computer-Assisted/*instrumentation
EDAT- 2009/01/24 09:00
MHDA- 2009/04/29 09:00
CRDT- 2009/01/24 09:00
PHST- 2009/01/24 09:00 [entrez]
PHST- 2009/01/24 09:00 [pubmed]
PHST- 2009/04/29 09:00 [medline]
AID - 10.1109/IEMBS.2008.4649752 [doi]
PST - ppublish
SO  - Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:2673-6. doi: 
      10.1109/IEMBS.2008.4649752.