Wavelet

As discussed in the earlier section, wavelet transform of the signals is recommended due to the limitations offered by STFT. AWT (Analytic Wavelet Transform) provides suitable and adaptive time-scale and time-frequency domains. Zhu [15] found better results using AWT over STFT while analyzing the noise causing human hearing loss. AWT is a type of the Continuous Wavelet Transform that calculates the product of signals and complex Morlet wavelet due to which the resulting coefficients are complex numbers and analytic in nature therefore makes it a complex continuous wavelet transform [16]. The mother wavelet in AWT is given in Eq. 5. (5) Where j is a complex number, is a real function and is the frequency parameter. The complex Morlet wavelet…

In this paper wavelet based decomposition and reduction of EMG signal. Electromyography (EMG) signal is a biological parameter that recording the electrical activity of the muscles. It is a diagnostic tool to assess the health of muscles and the nerve cells that control them. The different levels of daubechies wavelet family are used to analyze the EMG signal. The EMG feature extracted from different level decomposition and reconstruction of the EMG signal. We used a single channel electrode…

limited by some systems. On the occurrence of seizure, the standard limits get altered and some irregular electrical discharges are spreaded among all groups of neighboring cells. These linkages of abnormality in electrical discharges lead to a disturbed state in the brain's electrical activity. Epilepsy constitutes atleast two of these seizures. Human actions, feelings are produced due to the generation of electrochemical impulses from neurons. Epilepsy leads to abnormal pattern in the activity…

The rest of paper is organized as follows; in section II the related works based on skin textures analysis is discussed in detail. In section III methodologies used for categorizing skin textures are described. Section IV gives the detail about experimental results of proposed work. In section V describes conclusion and future enhancement of the proposed work. II. RELATED WORK Norimichi Tsumura et al [5]. The skin color image is also decomposed by YuantingGu and Enhua Wu to the four texture…

Peng Wen et al. [50] used a novel index MLDoA to identify different anesthetic states of a patient during surgery. Based on the new index MLDoA, the assessment of depth of anesthesia (DoA) for a patient can be clearly monitored. Firstly, a modified Bayesian wavelet threshold is proposed to de-noise the electroencephalogram (EEG) signals. Secondly, the Hurst exponent is obtained to classify four states of anesthesia: deep anesthesia, moderate anesthesia, light anesthesia and awake. Finally, the…

program to develop heart rate variability analysis. - To use some modern analysis system like artificial neural network to get the feature extraction to develop heart signal analysis and add practical scientific implementation to understand heart signal clearly. - To measure Heart Rate Variability by various methods. METHODS: Method proposes by using software program such as MATLAB, WAVELET and NEURAL NETWORK to process the signal. 1. Pre-Processing Module: The ECG…

analysis was performed. The time base and sensitivity of the recording device for registering the EEG were kept at 30 mm/sec and 7.5 μV/mm. The experimental set up was shown in figure 5.5 Figure 5.5 Experimental setup includes data acquisition systems for electroencephalographic signals 5.5 Data Analysis The entire epochs of 1020 sec (17 minutes) for various experimental conditions were analyzed. The delta band was not analyzed in order to avoid slow electrode drift and eye movements. The…

The multiple watermarking scheme has two parts. An annotation scheme and a fragile scheme. The annotation scheme encrypts all of the patient’s personal data such as name, medical records etc. in a much secure way. For the annotation scheme we have chosen Wavelet-based watermarking method since the visual quality of the watermarked images are high as it achieves high PSNR values. Furthermore, it is a blind scheme because the original image is not needed to extract the secret information. This…

and blood vessels. Diabetic Retinopathy (DR) is common diabetic disease condition that is caused to human eye. Early detection of DR is crucial to prevent blindness. This paper proposes an algorithm to develop an automated system to analyze the retinal images for extraction of exudates which are the elemental and initial signs of DR by eliminating optic disc (OD) and blood vessels having similar characteristic with exudates. Blood vessels are segmented using Multi-Level Adaptive Thresholding.…

Forensics is all about solving crimes and identifying murderers. In our research project we found out many things about the connection between forensics scientists and math. Detectives have many different things to do at a crime scene: collecting information, measuring distances, analyzing data… Therefore math is really important. Mathematicians can store and interpret data by using probability, statistics, cryptography and wavelet. A wavelet is a mathematical function which is used in digital…