Voice diseases have been increasing dramatically in recent times due mainly to unhealthy social habits and voice abuse. These must be diagnosed treated at an early stage, especially the case of larynx cancer. It is widely recognized that vocal do not necessarily cause changes quality as perceived by a listener. Acoustic analysis could useful tool diagnose this type disease. Preliminary research has shown detection alterations can carried out means Gaussian mixture models short-term mel...

Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals that enables sampling rates significantly below classical Nyquist rate. Based on fact electrocardiogram (ECG) can be approximated by linear combination few coefficients taken from Wavelet basis, we propose compressed sensing-based ECG signal compression. generally show redundancy between adjacent heartbeats due to its quasi-periodic structure. We this implies high fraction common support consecutive...

The electrocardiogram (ECG) has been widely used for diagnosis purposes of heart diseases. Good quality ECG are utilized by the physicians interpretation and identification physiological pathological phenomena. However, in real situations, recordings often corrupted artifacts. One prominent artifact is high frequency noise caused electromyogram induced noise, power line interferences, or mechanical forces acting on electrodes. Noise severely limits utility recorded thus need to be removed...

This work presents a comparison of different approaches for the detection murmurs from phonocardiographic signals. Taking into account variability signals induced by valve disorders, three families features were analyzed: (a) time-varying & time-frequency features; (b) perceptual; and (c) fractal features. With aim improving performance system, accuracy system was tested using several combinations aforementioned parameters. In second stage, main components extracted each family combined...

Recent results in telecardiology show that compressed sensing (CS) is a promising tool to lower energy consumption wireless body area networks for electrocardiogram (ECG) monitoring. However, the performance of current CS-based algorithms, terms compression rate and reconstruction quality ECG, still falls short attained by state-of-the-art wavelet-based algorithms. In this paper, we propose exploit structure wavelet representation ECG signal boost methods signals. More precisely, incorporate...

A filter bank-based algorithm for ECG compression is developed. The proposed method utilises a nearly-perfect reconstruction cosine modulated bank to split the incoming signals into several subband that are then quantised through thresholding and Huffman encoded. advantage of threshold chosen so quality retrieved signal guaranteed. It shown ratio achieved an improvement over those obtained by previously reported thresholding-based algorithms.

The development of non-invasive markers for assessing the risk sudden cardiac death has gained significant attention, particularly T-wave alternans (TWA), which can be recorded from surface electrocardiogram (ECG) signals. However, clinical application TWA remains insufficiently standardized, complicating its detection in real-world ambulatory environments due to variable conditions that often affect ECG recordings, including dynamic changes, noise, and artifacts. This study presents a Deep...

A very fast technique to design prototype filters for modulated filter banks without using time-consuming multivariable optimization is introduced. In the proposed method, optimized by windowing technique, with novelty of exploiting spline functions in transition band ideal filter, instead conventional brick-wall filter. study techniques and three different objective existing literature has been carried out, more suitable redefinitions these are employed achieve as possible. The resulting...

Repolarization alternans or T-wave (TWA) is a subject of great interest as it has been shown risk stratifier for sudden cardiac death. As TWA consists subtle and nonvisible variations the ST-T complex, its detection may become more difficult in noisy environments, such stress testing Holter recordings. In this paper, technique based on empirical-mode decomposition (EMD) to separate useful information complex from noise artifacts proposed. The identification part signal study complexity EMD...

T-wave alternans (TWA) is a fluctuation in the repolarization morphology of ECG. It associated with cardiac instability and sudden death risk. Diverse methods have been proposed for TWA analysis. However, detection ambulatory settings remains challenge due to absence standardized evaluation metrics thresholds. In this work we use traditional analysis signal processing-based feature extraction, two machine learning (ML) methods, namely, K–nearest–neighbor (KNN) random forest (RF), detection,...

Nowadays, the most extended techniques to measure voice quality are based on perceptual evaluation by well trained professionals. The GRBAS scale is a widely used method for of quality. in Japan and there increasing interest both Europe United States. However, this technique needs well-trained experts, evaluator's expertise, depending lot his own psycho-physical state. Furthermore, great variability assessments performed from one evaluator another observed. Therefore, an objective provide...

Most of the recent electrocardiogram (ECG) compression approaches developed with wavelet transform are implemented using discrete transform. Conversely, packets (WP) not extensively used, although they an adaptive decomposition for representing signals. In this paper, we present a thresholding-based method to encode ECG signals WP. The design compressor has been carried out according two main goals: (1) scheme should be simple allow real-time implementation; (2) quality, i.e., reconstructed...

In this correspondence, the conditions to use any kind of discrete cosine transform (DCT) for multicarrier data transmission are derived. The symmetric convolution-multiplication property each DCT implies that when convolution is performed in time domain, an element-by-element multiplication corresponding trigonometric domain. Therefore, appending redundancy (as prefix and suffix) into symbol be transmitted, also enforcing symmetry equivalent channel impulse response, linear becomes a those...

Noise and artifacts are inherent contaminating components particularly present in Holter electrocardiogram (ECG) monitoring. The presence of noise is even more significant long-term monitoring (LTM) recordings, as these collected for several days patients following their daily activities; hence, strong artifact can temporarily impair the clinical measurements from LTM recordings. Traditionally, has been dealt with a problem non-desirable component removal by means quantitative signal metrics...