4 research outputs found

    Time-Frequency Analysis of Femoral and Carotid Arterial Doppler Signals

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    AbstractIn this study, the short time Fourier transform, continuous wavelet transform (CWT) and S-transform have been used for spectral analysis of the carotid and femoral arteries Doppler signal. Each of these methods can represent the temporal evolution of Doppler spectra know as the sonograms. Time-frequency analysis by S-transform presents a linear resolution that surpasses the problem of Fourier Transform by a slipping window (STFT) of fixed length and also corrects phase concept in the wavelet transform for the analysis of non-stationary signals. This transform provides a very suitable space for extracting features and the localization of discriminating information in time and frequency in Doppler ultrasonic signals. The sonograms have been then used to compare the methods in terms of their frequency resolution and effects in determining the stenosis of carotid and femoral arteries

    Packets Wavelets and Stockwell Transform Analysis of Femoral Doppler Ultrasound Signals

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    Ultrasonic Doppler signals are widely used in the detection of cardiovascular pathologies or the evaluation of the degree of stenosis in the femoral arteries. The presence of stenosis can be indicated by disturbing the blood flow in the femoral arteries, causing spectral broadening of the Doppler signal. To analyze these types of signals and determine stenosis index, a number of time-frequency methods have been developed, such as the short-time Fourier transform, the continuous wavelets transform, the wavelet packet transform, and the S-transform

    ΠœΠ΅Ρ‚ΠΎΠ΄Π΅ Π·Π° ΠΎΡ†Π΅Π½Ρƒ Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΈΡ‡Π½Π΅ активности Π³Π»Π°Ρ‚ΠΊΠΈΡ… ΠΌΠΈΡˆΠΈΡ›Π°

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    Recording of the smooth stomach muscles' electrical activity can be performed by means of Electrogastrography (EGG), a non-invasive technique for acquisition that can provide valuable information regarding the functionality of the gut. While this method had been introduced for over nine decades, it still did not reach its full potential. The main reason for this is the lack of standardization that subsequently led to the limited reproducibility and comparability between different investigations. Additionally, variability between many proposed recording approaches could make EGG unappealing for broader application. The aim was to provide an evaluation of a simplified recording protocol that could be obtained by using only one bipolar channel for a relatively short duration (20 minutes) in a static environment with limited subject movements. Insights into the most suitable surface electrode placement for EGG recording was also presented. Subsequently, different processing methods, including Fractional Order Calculus and Video-based approach for the cancelation of motion artifacts – one of the main pitfalls in the EGG technique, was examined. For EGG, it is common to apply long-term protocols in a static environment. Our second goal was to introduce and investigate the opposite approach – short-term recording in a dynamic environment. Research in the field of EGG-based assessment of gut activity in relation to motion sickness symptoms induced by Virtual Reality and Driving Simulation was performed. Furthermore, three novel features for the description of EGG signal (Root Mean Square, Median Frequency, and Crest Factor) were proposed and its applicability for the assessment of gastric response during virtual and simulated experiences was evaluated. In conclusion, in a static environment, the EGG protocol can be simplified, and its duration can be reduced. In contrast, in a dynamic environment, it is possible to acquire a reliable EGG signal with appropriate recommendations stated in this Doctoral dissertation. With the application of novel processing techniques and features, EGG could be a useful tool for the assessment of cybersickness and simulator sickness.БнимањС Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΈΡ‡Π½Π΅ активности Π³Π»Π°Ρ‚ΠΊΠΈΡ… ΠΌΠΈΡˆΠΈΡ›Π° ΠΆΠ΅Π»ΡƒΡ†Π° ΠΌΠΎΠΆΠ΅ сС Ρ€Π΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Ρ‚ΠΈ ΡƒΠΏΠΎΡ‚Ρ€Π΅Π±ΠΎΠΌ Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΎΠ³Π°ΡΡ‚Ρ€ΠΎΠ³Ρ€Π°Ρ„ΠΈΡ˜Π΅ (Π•Π“Π“), Π½Π΅ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½Π΅ ΠΌΠ΅Ρ‚ΠΎΠ΄Π΅ која ΠΏΡ€ΡƒΠΆΠ° Π·Π½Π°Ρ‡Π°Ρ˜Π½Π΅ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΡ˜Π΅ Π²Π΅Π·Π°Π½Π΅ Π·Π° Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½ΠΈΡΠ°ΡšΠ΅ ΠΎΡ€Π³Π°Π½Π° Π·Π° Π²Π°Ρ€Π΅ΡšΠ΅. Упркост Ρ‡ΠΈΡšΠ΅Π½ΠΈΡ†ΠΈ Π΄Π° јС ΠΎΡ‚ΠΊΡ€ΠΈΠ²Π΅Π½Π° ΠΏΡ€Π΅ вишС ΠΎΠ΄ Π΄Π΅Π²Π΅Ρ‚ Π΄Π΅Ρ†Π΅Π½ΠΈΡ˜Π°, ΠΎΠ²Π° Ρ‚Π΅Ρ…Π½ΠΈΠΊΠ° још ΡƒΠ²Π΅ΠΊ нијС остварила свој ΠΏΡƒΠ½ ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΡ˜Π°Π». Основни Ρ€Π°Π·Π»ΠΎΠ³ Π·Π° Ρ‚ΠΎ јС нСдостатак ΡΡ‚Π°Π½Π΄Π°Ρ€Π΄ΠΈΠ·Π°Ρ†ΠΈΡ˜Π΅ који условљава ΠΎΠ³Ρ€Π°Π½ΠΈΡ‡Π΅ΡšΠ° Ρƒ смислу поновљивости ΠΈ упорСдивости ΠΈΠ·ΠΌΠ΅Ρ’Ρƒ Ρ€Π°Π·Π»ΠΈΡ‡ΠΈΡ‚ΠΈΡ… ΠΈΡΡ‚Ρ€Π°ΠΆΠΈΠ²Π°ΡšΠ°. Π”ΠΎΠ΄Π°Ρ‚Π½ΠΎ, Π²Π°Ρ€ΠΈΡ˜Π°Π±ΠΈΠ»Π½ΠΎΡΡ‚ која јС присутна Ρƒ ΠΏΡ€ΠΈΠΌΠ΅Π½ΠΈ Ρ€Π°Π·Π»ΠΈΡ‡ΠΈΡ‚ΠΈΡ… ΠΏΡ€Π΅ΠΏΠΎΡ€ΡƒΡ‡Π΅Π½ΠΈΡ… поступака снимања, ΠΌΠΎΠΆΠ΅ ΡΠΌΠ°ΡšΠΈΡ‚ΠΈ интСрСс Π·Π° ΡƒΠΏΠΎΡ‚Ρ€Π΅Π±Ρƒ Π•Π“Π“-Π° ΠΊΠΎΠ΄ ΡˆΠΈΡ€ΠΎΠΊΠΎΠ³ опсСга ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΡ˜Π°Π»Π½ΠΈΡ… корисника. Наш Ρ†ΠΈΡ™ јС Π±ΠΈΠΎ Π΄Π° ΠΏΡ€ΡƒΠΆΠΈΠΌΠΎ Π΅Π²Π°Π»ΡƒΠ°Ρ†ΠΈΡ˜Ρƒ ΠΏΠΎΡ˜Π΅Π΄Π½ΠΎΡΡ‚Π°Π²Ρ™Π΅Π½Π΅ ΠΌΠ΅Ρ‚ΠΎΠ΄Π΅ ΠΌΠ΅Ρ€Π΅ΡšΠ° Ρ‚Ρ˜. ΠΏΡ€ΠΎΡ‚ΠΎΠΊΠΎΠ»Π° који ΡƒΠΊΡ™ΡƒΡ‡ΡƒΡ˜Π΅ само јСдан ΠΊΠ°Π½Π°Π» Ρ‚ΠΎΠΊΠΎΠΌ Ρ€Π΅Π»Π°Ρ‚ΠΈΠ²Π½ΠΎ ΠΊΡ€Π°Ρ‚ΠΊΠΎΠ³ врСмСнског ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π° (20 ΠΌΠΈΠ½ΡƒΡ‚Π°) Ρƒ статичким условима са ΠΎΠ³Ρ€Π°Π½ΠΈΡ‡Π΅Π½ΠΈΠΌ ΠΊΡ€Π΅Ρ‚Π°ΡšΠ΅ΠΌ ΡΡƒΠ±Ρ˜Π΅ΠΊΡ‚Π° Ρ‚Ρ˜. Ρƒ ΠΌΠΈΡ€ΠΎΠ²Π°ΡšΡƒ. Π’Π°ΠΊΠΎΡ’Π΅, ΠΏΡ€ΠΈΠΊΠ°Π·Π°Π»ΠΈ смо нашС ставовС Ρƒ Π²Π΅Π·ΠΈ Π½Π°Ρ˜ΠΏΡ€ΠΈΠΊΠ»Π°Π΄Π½ΠΈΡ˜Π΅ ΠΏΠΎΠ·ΠΈΡ†ΠΈΡ˜Π΅ ΠΏΠΎΠ²Ρ€ΡˆΠΈΠ½ΡΠΊΠΈΡ… Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΎΠ΄Π° Π·Π° Π•Π“Π“ снимањС. ΠŸΡ€Π΅Π·Π΅Π½Ρ‚ΠΎΠ²Π°Π»ΠΈ смо ΠΈ Ρ€Π΅Π·ΡƒΠ»Ρ‚Π°Ρ‚Π΅ ΠΈΡΠΏΠΈΡ‚ΠΈΠ²Π°ΡšΠ° ΠΌΠ΅Ρ‚ΠΎΠ΄Π°, Π½Π° Π±Π°Π·ΠΈ ΠΎΠ±Ρ€Π°Π΄Π΅ Π²ΠΈΠ΄Π΅ΠΎ снимка ΠΊΠ°ΠΎ ΠΈ Ρ„Ρ€Π°ΠΊΡ†ΠΈΠΎΠ½ΠΎΠ³ Π΄ΠΈΡ„Π΅Ρ€Π΅Π½Ρ†ΠΈΡ˜Π°Π»Π½ΠΎΠ³ Ρ€Π°Ρ‡ΡƒΠ½Π°, Π·Π° ΠΎΡ‚ΠΊΠ»Π°ΡšΠ°ΡšΠ΅ Π°Ρ€Ρ‚Π΅Ρ„Π°ΠΊΠ°Ρ‚Π° ΠΏΠΎΠΌΠ΅Ρ€Π°Ρ˜Π° – јСдног ΠΎΠ΄ Π½Π°Ρ˜Π²Π΅Ρ›ΠΈΡ… ΠΈΠ·Π°Π·ΠΎΠ²Π° са којима јС суочСна Π•Π“Π“ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°. Π—Π° Π•Π“Π“ јС ΡƒΠΎΠ±ΠΈΡ‡Π°Ρ˜Π΅Π½ΠΎ Π΄Π° сС користС Π΄ΡƒΠ³ΠΎΡ‚Ρ€Π°Ρ˜Π½ΠΈ ΠΏΡ€ΠΎΡ‚ΠΎΠΊΠΎΠ»ΠΈ Ρƒ статичким условима. Наш Π΄Ρ€ΡƒΠ³ΠΈ Ρ†ΠΈΡ™ Π±ΠΈΠΎ јС Π΄Π° прСдставимо ΠΈ ΠΎΡ†Π΅Π½ΠΈΠΌΠΎ употрСбљивост супротног приступа – ΠΊΡ€Π°Ρ‚ΠΊΠΎΡ‚Ρ€Π°Ρ˜Π½ΠΈΡ… снимања Ρƒ Π΄ΠΈΠ½Π°ΠΌΠΈΡ‡ΠΊΠΈΠΌ условима. Π Π΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π»ΠΈ смо ΠΈΡΡ‚Ρ€Π°ΠΆΠΈΠ²Π°ΡšΠ΅ Π½Π° ΠΏΠΎΡ™Ρƒ ΠΎΡ†Π΅Π½Π΅ активности ΠΆΠ΅Π»ΡƒΡ†Π° Ρ‚ΠΎΠΊΠΎΠΌ појавС симптома ΠΌΡƒΡ‡Π½ΠΈΠ½Π΅ ΠΈΠ·Π°Π·Π²Π°Π½Π΅ Π²ΠΈΡ€Ρ‚ΡƒΠ΅Π»Π½ΠΎΠΌ Ρ€Π΅Π°Π»Π½ΠΎΡˆΡ›Ρƒ ΠΈ ΡΠΈΠΌΡƒΠ»Π°Ρ†ΠΈΡ˜ΠΎΠΌ воТњС. Π—Π° ΠΏΠΎΡ‚Ρ€Π΅Π±Π΅ ΠΌΠ΅Ρ‚ΠΎΠ΄Π΅ Π·Π° ΠΎΡ†Π΅Π½Ρƒ Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΈΡ‡Π½Π΅ активности ΠΆΠ΅Π»ΡƒΡ†Π°, ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠΈΠ»ΠΈ смо Ρ‚Ρ€ΠΈ Π½ΠΎΠ²Π° ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Π° Π·Π° ΠΊΠ²Π°Π½Ρ‚ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΡ˜Ρƒ Π•Π“Π“ сигнала (Π΅Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½Ρƒ врСдност Π°ΠΌΠΏΠ»ΠΈΡ‚ΡƒΠ΄Π΅, ΠΌΠ΅Π΄ΠΈΡ˜Π°Π½Ρƒ ΠΈ крСст Ρ„Π°ΠΊΡ‚ΠΎΡ€) ΠΈ ΠΈΠ·Π²Ρ€ΡˆΠΈΠ»ΠΈ ΠΏΡ€ΠΎΡ†Π΅Π½Ρƒ ΡšΠΈΡ…ΠΎΠ²Π΅ прикладности Π·Π° ΠΎΡ†Π΅Π½Ρƒ гастроинтСстиналног Ρ‚Ρ€Π°ΠΊΡ‚Π° Ρ‚ΠΎΠΊΠΎΠΌ ΠΊΠΎΡ€ΠΈΡˆΡ›Π΅ΡšΠ° Π²ΠΈΡ€Ρ‚ΡƒΠ΅Π»Π½Π΅ рСалности ΠΈ симулатора воТњС. Π—Π°ΠΊΡ™ΡƒΡ‡Π°ΠΊ јС Π΄Π° Π•Π“Π“ ΠΏΡ€ΠΎΡ‚ΠΎΠΊΠΎΠ» Ρƒ статичким условима ΠΌΠΎΠΆΠ΅ Π±ΠΈΡ‚ΠΈ ΡƒΠΏΡ€ΠΎΡˆΡ›Π΅Π½ ΠΈ њСгово Ρ‚Ρ€Π°Ρ˜Π°ΡšΠ΅ ΠΌΠΎΠΆΠ΅ Π±ΠΈΡ‚ΠΈ Ρ€Π΅Π΄ΡƒΠΊΠΎΠ²Π°Π½ΠΎ, Π΄ΠΎΠΊ јС Ρƒ Π΄ΠΈΠ½Π°ΠΌΠΈΡ‡ΠΊΠΈΠΌ условима ΠΌΠΎΠ³ΡƒΡ›Π΅ снимити ΠΎΠ΄Π³ΠΎΠ²Π°Ρ€Π°Ρ˜ΡƒΡ›ΠΈ Π•Π“Π“ сигнал, Π°Π»ΠΈ ΡƒΠ· ΠΏΡ€Π°Ρ›Π΅ΡšΠ΅ ΠΏΡ€Π΅ΠΏΠΎΡ€ΡƒΠΊΠ° Π½Π°Π²Π΅Π΄Π΅Π½ΠΈΡ… Ρƒ овој Ρ‚Π΅Π·ΠΈ. Π£ΠΏΠΎΡ‚Ρ€Π΅Π±ΠΎΠΌ Π½ΠΎΠ²ΠΈΡ… Ρ‚Π΅Ρ…Π½ΠΈΠΊΠ° Π·Π° ΠΏΡ€ΠΎΡ†Π΅ΡΠΈΡ€Π°ΡšΠ΅ сигнала ΠΈ ΠΏΡ€ΠΎΡ€Π°Ρ‡ΡƒΠ½ ΠΎΠ΄Π³ΠΎΠ²Π°Ρ€Π°Ρ˜ΡƒΡ›ΠΈΡ… ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Π°Ρ€Π°, Π•Π“Π“ ΠΌΠΎΠΆΠ΅ Π±ΠΈΡ‚ΠΈ корисна Ρ‚Π΅Ρ…Π½ΠΈΠΊΠ° Π·Π° ΠΎΡ†Π΅Π½Ρƒ ΠΌΡƒΡ‡Π½ΠΈΠ½Π΅ ΠΈΠ·Π°Π·Π²Π°Π½Π΅ ΠΊΠΎΡ€ΠΈΡˆΡ›Π΅ΡšΠ΅ΠΌ симулатора ΠΈ ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄Π° Π²ΠΈΡ€Ρ‚ΡƒΠ΅Π»Π½Π΅ рСалност

    Estimation of wavelet and short-time Fourier transform sonograms of normal and diabetic subjects' electrogastrogram

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    Electrogastrography (EGG) is a noninvasive way to record gastric electrical activity of stomach muscle by placing electrodes on the abdominal skin. Our goal was to investigate the frequency of abnormalities of the EGG in real clinical diabetic gastroparesis patients using WT method and to compare performance of STIFT and WT methods in the case of time-frequency resolution. The results showed that WT sonograms can be used to classify patients successfully as healthy or sick. And also, due to the fact that the WT method does not suffer from some intrinsic problems that affect the STFT method, one can see that the WT method can help improve the quality of the sonogram of the EGG signals. (c) 2005 Elsevier Ltd. All rights reserved
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