The aim of this paper is to find the optimal mother wavelet function and wavelet
decomposition level when denoising the Doppler cardiogram (DCG), the heart signal …

In this paper, an integrated electrocardiogram (ECG) signal-processing scheme is proposed.
Using a systematic wavelet transform algorithm, this signal-processing scheme can realize …

Statistical, spectral, multi-resolution and non-linear methods were applied to heart rate
variability (HRV) series linked with classification schemes for the prognosis of …

The length of decomposition results of traditional wavelet packet transform (WPT) will
decrease by half in the next level for downsampling, then the length of sequences in the last …

Accurate PM2. 5 concentration forecasting is crucial for protecting public health and
atmospheric environment. However, the intermittent and unstable nature of PM2. 5 …

Recent research has unearthed that blink rate variability (BRV) can be employed as a
psychophysiological measure. However, its efficiency for mental state recognition (MSR) has …

Early detection of the dysfunction of the cardiac autonomic regulation (CAR) may help in
reducing cannabis-related cardiovascular morbidities. The current study examined the …

Because of its utility in the investigation and diagnosis of clinical abnormalities, heart rate
variability (HRV) has been quantified with both time and frequency analysis tools. Recently …

Dyadic wavelet transform is useful in analyzing electrocardiogram (ECG) signals due to its
fast computation and its multiresolution ability. In order to improve the feature extraction …

This study focused on detecting the reflections of healing and change in cortex activation in
full-face transplantation and lesions patients on EEG activity. Face transplant patients have …