Abstract — ECG signals are used to detect the heart rate and heart abnormalities. For extraction of ECG features and detection of QRS complexes it is required to remove baseline wander and minimize the noise interference. In this paper we proposed a technique to remove baseline wander using Kaiser Windowing filter and wavelet transform, among which wavelet is most powerful and effective tool fo...

One new approach for the problem of feature extraction and classification of Fetal Heart Rate signal is introduced in this paper. It considers the use of the Discrete Wavelet Transformation to extract scale-dependent features of Fetal Heart Rate (FHR) signal and the use of Support Vector Machines for classification of FHR. The proposed methodology is tested on real data acquired just before del...

The adoption of fitness tracker devices to monitor training in the equine market is full expansion. However, validity most these has not been assessed. aim this study was examine heart rate (HR) and variability (HRV) measurements during high-intensity exercise by an integrated with electrocardiogram (ECG) (Equimetre) comparison ECG device (Televet). Twenty Thoroughbred racehorses were equipped ...