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  • ACCESS AND ASSET MANAGEMENT OF AN ACADEMIC INSTITUTE 
    Sudhakar, Kulkarni Abhijeet (2011)
    Radio Frequency Identification (RFID) and Global Positioning Systems (GPS) are two very important emerging fields of technology which are opted for prevalent application types, like item tracking, tracing, antitheft, access ...
  • ADAPTIVE CONTROL OF VIBRATOR 
    Goyal, Anup Kumar (1998)
    Vibration Test is a part of basic environmental testing of electronic-and electerical items and components. -Vibration test (IS:9001, Part XIII-1981) determines the ability of electronic and electrical items to withstand ...
  • ALGORITHM FOR RESOLUTION IMPROVEMENT OF IMAGES 
    E., Venkata Gouri Rajesh (2007)
    The process of constructing high resolution image from low resolution images is called superresolution. To achieve these algorithms precise registration algorithms to align low resolution images are needed. The low ...
  • AMBULATORY MONITORING AND ANALYSIS OF ECG SIGNALS 
    Kulkarni, P. K. (1997)
    Ambulatory monitoring of ECG signals is an important topic of research in the area of Biomedical Engineering. The basic concept lies in providing medical service to the cardiac patients away from the hospital. A complete ...
  • ANALYSIS AND CLASSIFICATION OF B-MODE LIVER ULTRASOUND IMAGES 
    Virmani, Jitendra (Dept. of Electrical Engineering iit Roorkee, 2013-12)
    The present research work has been carried out with an aim to enhance the diagnostic potential of conventional B-Mode ultrasound (US) imaging modality for diagnosis of liver diseases. To achieve this objective, the design ...
  • ANALYSIS AND CLASSIFICATION OF CARDIAC ARRHYTHMIA USING ECG SIGNAL 
    Bharawaj, Pooja (2011)
    The main objective of this study is to provide recognition of cardiac arrhythmic pathologies from the classification of ECG recordings. ECG is a graphical record which is a result of electrical tension of heart and is the ...
  • ANALYSIS AND INTERPRETATION OF BIO-ELECTRIC SIGNALS-EEG 
    Gupta, R. K. (1980)
    It is rihflj said thst,tM bgthnlal$ of the wisdos is the o.111s4 of thinp by their rid t awe". This dial Ytation is S. eam1 step in this d ar tion i.e. tT to .zplore 0 asthod which describes the s1 ►ra.lii; of min► t ...
  • ANALYSIS AND INTERPRETATION OF ECG SIGNAL USING WAVELET TRANSFORM 
    Hamde, Satish Tukaram (2000)
    Electrocardiogram (ECG) is a graphical representation of the electromechanical activity of the cardiac system. It provides a fast and reliable information to the expert cardiologist with respect to the functional aspects ...
  • ANALYSIS AND MEASUREMENT OF VISUAL ACUITY 
    Ramachandran, T. (1977)
    ANALYSIS AND MEASUREMENT OF VISUAL ACUITY..
  • ANALYSIS FOR FAULT IDENTIFICATION IN ROTATING ELECTRICAL MACHINES 
    (NEE AHUJA), Sulochana Wadhwani (2006)
    This work presents laboratory investigation carried out on a set of induction motors to study the mechanical faults, mainly related to the ball bearing of the motor. The vibration signals are recorded for different bearing ...
  • APPLICATION OF DIGITAL SIGNAL PROCESSOR IN INSTRUMENTATION 
    Agarwal, Sunita (1991)
    This dissertation presentsATMS. 32010 in measurement a instrumentation. Digital signal processors are being us in numerous fields such as general purpose digital sign processing, telecommunications, voice/speech, graphic ...
  • ARTIFACTS REMOVAL AND ANALYSIS OF ECG SIGNAL USING INDEPENDENT COMPONENT ANALYSIS (ICA 
    Srinivas, Banda (2006)
    During Multi channel ECG recording, along with ECG signal noise and artifacts are also recorded. ECG, noise and artifacts are statistically independent of each oiler. Disease classification and diagnostic feature extraction ...
  • ARTIFICIAL NEURAL NETWORK BASED ABNORMALITIES CLASSIFICATION USING HEART RATE VARIABILITY SIGNAL 
    Mengistu, Birhanu (2005)
    Since the late 1980s, the study of heart rate variability as a measure of autonomic modulation of the cardiovascular system has grown with pace. For this reason, the analysis of their variability has gained growing importance ...
  • ARTIFICIAL NEURAL NETWORK BASED ECG CLASSIFICATION 
    Vijaya, G. (1997)
    Electrocardiogram(ECG) is either a unipolar or a bipolar non invasive recording of the electrical activity of heart obtained with the help of electrodes placed outside the cardiac cavity. An ECG recording, can be decomposed ...
  • ARTIFICIAL NEURAL NETWORK BASED INTELLIGENT CONTROLLER 
    Jaiswal, Neetu (1998)
    Currently, artificial neural networks are being used to solve problems related to control. To determine reliability of the neuro-control technique is to test it on a variety of realistic problems with the aim of seeing ...
  • ARTIFICIAL NEURAL NETWORK. BASED QRS DETECTION IN ECG SIGNAL 
    Neeru (1993)
    ECG signal is a graphic record of electrical potentials produced in association with heart beat. Analysis of ECG is very important from medical point of view. Analysis of ECG can be manual or computer based . Manual ...
  • BRAIN - MACHINE INTERFACE FOR CONTROL USING AUDITORY FEEDBACK 
    Singla, Rajesh (2006)
    A Brain Computer Interface is a communication system in which messages or commands that an individual sends to the external world do not pass through the brain's normal output pathways of peripheral nerves and muscles. ...
  • CLASSIFICATION OF B-MODE ULTRASOUND KIDNEY AND LIVER IMAGES 
    B, Subramanya M. (ELECTRICAL ENGINEERING IIT ROORKEE, 2016-01)
    Imaging technology revolutionized the area of diagnosis by being complimentary to the clinical diagnosis because of its non-invasive nature. With rapid advancements in imaging modalities, the clarity and the volume of ...
  • CLASSIFICATION OF IMPEDANCE CARDIOGRAM FOR HEMODYNAMIC STUDIES 
    Kavirayni, Venkata Ramakrishna (2006)
    Impedance Cardiography is a technique which is used for the diagnosis of the heart. When a sinusoidal current of 10 μA to mA amplitude and 20 to 100 kHz frequency is applied to the transthoracic region some voltage is ...
  • CLUSTER BASED MEDICAL IMAGE SEGMENTATION 
    Kakarla, Niranjana Rao (2010)
    Medical image segmentation is a key task in many medical applications. There are lots of methods for automatic and semi automatic image segmentation, though, most of them fail in unknown noise, poor image contrast, and ...