National Repository of Grey Literature 4 records found  Search took 0.01 seconds. 
Automatic detection of heart pathologies using high-frequency components of QRS complex
Daňová, Ľudmila ; Němcová, Andrea (referee) ; Smíšek, Radovan (advisor)
The aim of this thesis is to analyse high-frequency ECG to detect some heart diseases. This is performed with averaging of selected QRS complexes for each lead of the signal; these are then filtered in range 500-1 000 Hz. After that the envelope of the signal is done and here the peaks are detected. Based on mutual positions of this peaks, it is possible to detect what kind od signal we treat.
Automatic detection of heart pathologies using high-frequency components of QRS complex
Daňová, Ľudmila ; Vítek, Martin (referee) ; Smíšek, Radovan (advisor)
The aim of this thesis is to analyse high-frequency ECG to detect some heart diseases. This is performed with averaging of selected QRS complexes for each lead of the signal; these are thenfilteredin range 500-1 000 Hz. After that the envelope of the signal is done and here the peaks are detected. Based on mutual positions of this peaks, it is possible to detectwhat kind od signal we treat.
Automatic detection of heart pathologies using high-frequency components of QRS complex
Daňová, Ľudmila ; Němcová, Andrea (referee) ; Smíšek, Radovan (advisor)
The aim of this thesis is to analyse high-frequency ECG to detect some heart diseases. This is performed with averaging of selected QRS complexes for each lead of the signal; these are then filtered in range 500-1 000 Hz. After that the envelope of the signal is done and here the peaks are detected. Based on mutual positions of this peaks, it is possible to detect what kind od signal we treat.
Automatic detection of heart pathologies using high-frequency components of QRS complex
Daňová, Ľudmila ; Vítek, Martin (referee) ; Smíšek, Radovan (advisor)
The aim of this thesis is to analyse high-frequency ECG to detect some heart diseases. This is performed with averaging of selected QRS complexes for each lead of the signal; these are thenfilteredin range 500-1 000 Hz. After that the envelope of the signal is done and here the peaks are detected. Based on mutual positions of this peaks, it is possible to detectwhat kind od signal we treat.

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