The user-friendly and informative ECG
data presentation and intuitive analysis tools of Bittium Cardiac Navigator software solutions make the software efficient and easy to use when analyzing multiple days of ECG
The current study was planned to propose a wavelet decomposition-based template matching technique to extract features for automatic classification of non-stationary ECG
signals of normal and arrhythmic individuals.
monitoring is the criterion standard for the diagnosis of ventricular arrhythmia.
signals were obtained and on the bases of ECG
patterns, the individuals were classified into two groups i.
Innovative advancement in communication technologies and low power circuit plan have empowered the development of better and more secure ECG
equipment, which are convenient, work with lower force utilization, more exact, and have the ability to incorporate the latest diagnostic features.
AliveCor said its new analysis processes (algorithms) include a Normal Detector that identifies when no abnormalities are detected in an ECG
recording and an Interference Detector that identifies if factors have affected the recording making the ECG
The factors which may cause interference in ECG
signals can be the following :
They also explain why different conditions lead to different ECG
In the last decade, a number of researchers have reported the different automatic ECG
classification techniques [2-8].
has conducted a required biological study and cultural survey.
abnormality, as a result of a true- or false-positive test, can lead to invasive confirmatory testing and treatments that have the potential for serious harm, including unnecessary radiation exposure and the associated risk for cancer," the panel members wrote (Ann.
To date, few studies have examined whether ECG
abnormalities could improve risk prediction in older adults, and none have adequately adjusted for the presence of traditional cardiovascular risk factors.