Abstract：
:Beat detection is a basic and fundamental step in electrocardiogram (ECG) processing. In many ECG applications strong artifacts from biological or technical sources could appear and cause distortion of ECG signals. Beat detection algorithm desired property is to avoid these distortions and detect beats in any situation. Our developed method is an extension of Christov's beat detection algorithm, which detects beat using combined adaptive threshold on transformed ECG signal (complex lead). Our offline extension adds estimation of independent components of measured signal into the transformation of ECG creating a signal called complex component, which enhances ECG activity and enables beat detection in presence of strong noises. This makes the beat detection algorithm much more robust in cases of unpredictable noise appearances, typical for holter ECGs and telemedicine applications of ECG. We compared our algorithm with the performance of our implementation of the Christov's and Hamilton's beat detection algorithm.
journal_name
Med Eng Physjournal_title
Medical engineering & physicsauthors
Kuzilek J,Lhotska Ldoi
10.1016/j.medengphy.2012.07.017subject
Has Abstractpub_date
2013-06-01 00:00:00pages
704-11issue
6eissn
1350-4533issn
1873-4030pii
S1350-4533(12)00213-5journal_volume
35pub_type
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