Denoising embolic Doppler ultrasound signals using Dual Tree Complex Discrete Wavelet Transform
Gorkem Serbes1, Nizamettin Aydin
1Electronics Engineering Department, Bahcesehir University, Istanbul, Turkey. gorkem.serbes@bahcesehir.edu.tr
Summary
Detecting small embolic signals in stroke patients is crucial. Dual Tree Complex Discrete Wavelet Transform offers superior denoising for embolic signals compared to conventional methods, improving detection accuracy.
Area of Science:
- Biomedical Engineering
- Signal Processing
- Neurology
Background:
- Early detection of asymptomatic emboli is vital for managing stroke-prone patients.
- Identifying faint embolic signals amidst background noise is a significant challenge.
- Advanced signal processing is necessary to differentiate small embolic signals from red blood cell Doppler signals.
Purpose of the Study:
- To evaluate the effectiveness of Dual Tree Complex Discrete Wavelet Transform (CDTWT) for denoising embolic signals.
- To compare the performance of CDTWT against the conventional Discrete Wavelet Transform (DWT) in embolic signal detection.
- To enhance the accuracy of identifying very small emboli in stroke patients.
Main Methods:
- Utilized Dual Tree Complex Discrete Wavelet Transform (CDTWT) for signal denoising.
- Employed conventional Discrete Wavelet Transform (DWT) as a benchmark for comparison.
- Analyzed and compared the denoising performance of both CDTWT and DWT on embolic signals.
Main Results:
- CDTWT demonstrated superior denoising performance compared to conventional DWT.
- The CDTWT approach achieved approximately 8 dB improvement in signal clarity.
- Conventional DWT provided an improvement of less than 5 dB.
Conclusions:
- Dual Tree Complex Discrete Wavelet Transform is a more effective method for denoising embolic signals than conventional DWT.
- CDTWT offers significant advantages for the early and accurate detection of small emboli.
- This advanced technique can improve monitoring of preventive therapy in at-risk stroke patients.
Related Concept Videos
01:19Assessing Blood pressure using a doppler ultrasound
To obtain accurate blood pressure measurements in clinical settings, especially when traditional methods are insufficient, healthcare professionals utilize the Doppler ultrasound technique. This method uses high-frequency sound waves to detect blood flow within the arteries, which is crucial for patients with conditions that complicate circulatory system assessment.
Pre-Procedural Guidelines for Doppler Ultrasound Blood Pressure Assessment:
Preparation of Equipment:
Pre-Procedural Guidelines for Doppler Ultrasound Blood Pressure Assessment:
Preparation of Equipment:
01:20Discrete-Time Fourier Series
The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
For a discrete-time periodic signal x[n]...
01:15Discrete Fourier Transform
The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
01:26Discrete-time Fourier transform
The Discrete-Time Fourier Transform (DTFT) is an essential mathematical tool for analyzing discrete-time signals, converting them from the time domain to the frequency domain. This transformation allows for examining the frequency components of discrete signals, providing insights into their spectral characteristics. In the DTFT, the continuous integral used in the continuous-time Fourier transform is replaced by a summation to accommodate the discrete nature of the signal.
One of the notable...
One of the notable...
01:17Ultrasonography
Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called a...
During an ultrasonography procedure, a handheld device called a...
01:20Deconvolution
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...