Mukesh Tiwari

Feature Extraction of ECG Signal Using HHT Algorithm

This paper describe the features extraction algorithm for electrocardiogram (ECG) signal using Huang Hilbert Transform and Wavelet Transform. ECG signal for an individual human being is different due to unique heart structure. The purpose of feature extraction of ECG signal would allow successful abnormality detection and efficient prognosis due to heart disorder. Some major important features will be extracted from ECG signals such as amplitude, duration, pre-gradient, post-gradient and so on. Therefore, we need a strong mathematical model to extract such useful parameter. Here an adaptive mathematical analysis model is Hilbert-Huang transform (HHT). This new approach, the Hilbert-Huang transform, is implemented to analyze the non-linear and nonstationary data. It is unique and different from the existing methods of data analysis and does not require an a priori functional basis. The effectiveness of the proposed scheme is verified through the simulation.

Wireless Patient Health Monitoring System

This paper presents the development of a microcontroller based system for wireless heartbeat and temperature monitoring using ZigBee.In India many patients are dying because of heart attacks and reason behind that they are not getting timely and proper help. To give them timely and proper help first we want to continuous monitoring of patient health. The fixed monitoring system can be used only when the patient is on bed and this system are huge and only available in the hospitals in ICU. The system is developed for home use by patients that are not in a critical condition but need to be constant or periodically monitored by clinician or family.[1] In any critical condition the SMS is send to the doctor or any family member.[2] So that we can easily save many lives by providing them quick service.

Performance Analysis of Handoff Calls for Quality of Service using Call Admission Control Algorithm for Data, Video and Voice Traffic

Call admission control is a very important measure in CDMA system to guarantee the quality of the communicating links. In future wireless networks multimedia traffic will have different QoS requirements. The call admission control is very important measure in CDMA system to guarantee the quality of the communicating link In future wireless networks multimedia traffic will have different QoS requirements. We have proposed call admission and call control algorithms for QoS provisioning for multimedia traffic in a cellular mobile network. In this paper we propose a call admission control algorithm that keeps the dropping probability below a specified level while achieving high channel utilization.

ZigBee based Patient Monitoring System

Statistics reveal that every minute a human is losing his/her life across the globe. More close in India , everyday many lives are affected by heart attacks and more importantly because the patients did not get timely and proper help . There are many emergency response services striving hard to save the lives of people during emergencies, though they are successful at few times. But sometimes they fail to race against time to reach the victim. All over the globe , emergency response service is the need of the hour. India has the highest incidence of heart related diseases in the world and the number of those affected is likely to double in the coming years. If no initiative is taken to check the disease, the most predictable and also preventable among all chronic diseases, India will have 62 million patients with heart disease. So in the future what if due to lack of urgent service we are not able to save the patient? The answer to such a problem is that the patient needs to be “monitored constantly”[1]. Due to which we would be able attend the patient immediately. Therefore by developing a system that can constantly measure the important parameters of patient’s body and which can alert the closed ones and the doctor on any time when the patient’s condition gets bad when he is not along with them, this can really provide quick

Multiuser Interface Optical Code Division Multiple Access System

CDMA and FIBER OPTICS individually are the best technologies in their respective zones. We all know that CDMA (multiple access technology) is the best as compared to TDMA & FDMA & similar is the case with FIBER OPTICS also. Fiber optic technology is best compare to all other communication technologies. In this Paper, the comparative analysis of a fibre optics CDMA system using Matlab simulation. By varying numerous parameters of the systems, we compare the systems in terms of BER. As the number of active users increases the BER increases.

Development of FPGA based Human Voice Recognition System with MFCC feature

The voice recognition development on the hardware is also a challenging field due to minimal hardware resource utilization with higher accuracy demand. This paper described the FPGA based human voice recognition system. This system includes voice activity detection, MFCC feature extraction, HMM filter generation and classification of voice. The system is train for different person with the repeated voice for achieving the higher accuracy. The HMM filter coefficient for different person is only stored for reducing the memory utilization. The standard FFT and DCT blocks are used to reduce the hardware utilization. The development results are given in this paper for illustrating the effectiveness of system. Keywords— FPGA, Voice Recognition, MFCC (Mel-Frequency Cepstral Coefficients), HMM (Hidden Markov Model), VAD (Voice Activity Detection), LPC.

Design and Simulation of Microstrip E-shaped Patch Antenna for Improved Bandwidth and Directive Gain

Despite the many advantages of microstrip patch antennas, they do have some considerable drawbacks. One of the main limitations with patch antennas is their inherently narrowband performance due to its resonant nature. With bandwidth as low as a few percent; broadband applications using conventional patch designs are limited. So for the antenna miniaturization and bandwidth improvement E-shaped microstrip patch antenna used. In this paper, authors cover two aspects of microstrip antenna designs. The first is the analysis of single element narrowband rectangular microstrip antenna which operates at the central frequency of 6.5GHz. The second aspect is the analysis and design of slot cut E-shaped microstrip antenna. The simulation process has been done through high frequency structure simulator (HFSS). The properties of antenna such as bandwidth, return loss, VSWR has been investigated and compared between a single element rectangular and E-shaped microstrip antenna. Keywords—Rectangular Microstrip antenna, E-shaped Microstrip antenna, HFSS, Bandwidth, return loss, VSWR.

Karaoke Machine implementation and validation using Out of Phase Stereo method

This paper presents a new approach for the implementation of Karaoke Machine for vocal or instrument removal with recording users voice and playback. Through the medium of this paper we are glad to showcase our observations and results. Karaoke is a form of entertainment in which users sing along with recorded music using a microphone. So first phase of our Karaoke machine involves removing the original voice of the artist in a song using Out of Phase Stereo method, then, we can record the users voice while simultaneously playing the remaining music. In this paper, we present a real-time implementation of a Matlab/Simulink model of Karaoke Machine.

Performance Analysis for MRI Denoising using Intensity Averaging Gaussian Blur Concept and its Comparison with Wavelet Transform Method

extraction and object recognition plays important role in medical image, acquired by various imaging modalities. Medical image is taken by various technologies like MRI machine, computed tomography (CT), positron emission tomography (PET) etc. These techniques always add noise in image. Which should be removed for feature extraction and object recognition of medical image? This noise will change the phase and amplitude of every pixel in the image. So image restoration becomes essential task for perfect diagnostics of body. This noise can be reduced if phase error at each pixel in complexes valued image is known, resulting in improved detection of medically significant detail. But estimation of phase error at each pixel is difficult task. There are so many approaches, which have been previously suggested for image restoration. Here we are comparing the code wavelet method with intensity averaging Gaussian blur method and we will prove that later method is giving good result. Here we are applying no. of iterations to modify the estimate of phase error at pixel, until output converges to a stable estimate. We are using image diffusion and anisotropic method to estimate phase error at each pixel and convolution and Gaussian blurring method for amplitude correction. We are using the PSNR(Peak signal to noise ration),MSE(Mean square error) and RMSE(Root mean square error) as performance matrices to measure the quality of denoised MRI .The final result shows that this method is effectively removing the noise while preserving the edge and fine information in the images.

Programmable High Speed 8-Bit Binary Incrementer Decrementer

This paper presents the eight bit CMOS base incrementer and decrementer logic design using eight bit adder and subtractor. The parametric simulation is done on MICROWIND layout editor tool. The any conventional static CMOS adder with pullup and pulldown logic requires 32 MOSFET whereas our design adder requires 30 MOSFETs. Our design methodology is based on static CMOS logic and transmission gate logic to achieve smaller delays, reduce power dissipation and optimized area. We can use a high-speed parallel adder in incrementer / decrementer to improve the operating speed which can count up or count down from the loaded value by one step in one clock cycle.