Determination of Cardiac Output based on Minimally Invasive Impedance Plethysmography in Various Healthy Subjects

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Mirza Baig

Abstract Cardiac output in the non invasive manner Blood flow in any section Heart beat 2 different groups

Engineering

Determination of Cardiac Output based
on Minimally Invasive Impedance
Plethysmography inVarious Healthy
Subjects

Abstract
• Cardiac output in the non invasive manner
• Blood flow in any section
• Heart beat
• 2 different groups

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Fingerprint Recognition Fingerprint recognition is one of the oldest and most researched fields of biometrics. Some biological principles (Moenssens 1971) related to fingerprint recognition are as follows: Individual epidermal ridges and furrows have different characteristics for different fingerprints. This forms the foundation of fingerprint recognition The configuration types are individually variable; but they vary within limits that allow for a systematic classification. Herein lies the basis for fingerprint classification. The configuration and minute details of furrows are permanent and unchanging.

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Power Electronic Devices The power Electronic devices provides the utility of switching. The flow of power through these devices can be controlled via small currents. Power electronics devices differ from ordinary electronics devices in terms of their characteristics. Power Semiconductor Devices can be classified into three groups according to their degree of controllability. Diodes (on and off controlled by power circuit) Thyristors (latched on by control signal but must be turned off by power circuit) Controllable Switches (turned on and off by control signal) diode A p-n junction diode is formed by placing p and n type semiconductor materials in intimate contact on an atomic scale.

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TOPICS INCLUDED IN THIS PRESENTATION INTRODUCTION WHY OPTICAL SENSORS ? PRINCIPLE OF OPTICAL SENSORS CLASSIFICATION AND COMPARISON SOME INTERESTING APPLICATIONS WHERE DO WE GO FROM HERE ? INTRODUCTION NEW REVOLUTION OF OPTICAL FIBER SENSORS IT IS A “SPIN-OFF” FROM OTHER OPTICAL TECHNOLOGIES SEEING THE POTENTIAL IN SENSING APPLICATIONS – DEVELOPED AS ITS OWN FIELD WHY OPTICAL SENSORS ELECTROMAGNETIC IMMUNITY ELECTRICAL ISOLATION COMPACT AND LIGHT BOTH POINT AND DISTRIBUTED CONFIGURATION WIDE DYNAMIC RANGE AMENABLE TO MULTIPLEXING

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What is Wireshark? Wireshark is a free and open-source packet analyzer. It is used for network troubleshooting, analysis, software and communication protocol development, and education. Wireshark perhaps one of the best open source packet analyzer available for Windows and LINX Some Important Purpose Network Administrator used for troubleshoot network problem. Network security engineer used for examine security problem. Developer used for debug protocol implementation. People used for learn protocol protocol internals.

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Lecture Outline Introduction to subject Application Areas Power Electronic Devices Power Converters What is power electronics? 1) Definition Power Electronics: is the electronics applied to conversion and control of electric power. Prerequisites Power electronics incorporates concepts from the fields of Analog circuits Electronic devices Control systems Power systems Magnetics Electric machines Numerical simulation Scope It is not possible to build practical computers, cell phones, personal data devices, cars, airplanes, industrial processes, and other everyday products without power electronics. Alternative energy systems such as wind generators, solar power, fuel cells, and others require power electronics to function. Technology advances such as electric and hybrid vehicles, laptop computers, microwave ovens, flat-panel displays, LED lighting, and hundreds of other innovations were not possible until advances in power electronics enabled their implementation. Although no one can predict the future, it is certain that power electronics will be at the heart of fundamental energy innovations. Applications: Electric VehicleTesla Model S Functions of the power electronics: 1. Convert the DC battery voltage to the variable AC required to drive the AC motor 240 V battery Variable-frequency, variable-voltage AC drives the motor AC motor propels the rear axle Up to 330 kW (acceleration) Up to 60 kW regenerative braking 2. Control charging of the battery Interface to 240 V 60 Hz 1φ 100 A circuit in garage. Control AC current waveform to be sinusoidal, unity power factor. Control charging of battery to maximize life. Applications: Hybrid VehiclesPrius Power Electronics Module: Convert the DC battery voltage to the variable AC required to drive the AC motor. Includes dc-dc boost converter and dc-3φ ac inverter Control system can operate in all-electric mode or in hybrid gas+electric mode Partial-power electronics

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Introduction As systems become more complex, representing them with differential equations or transfer functions becomes cumbersome. This is even more true if the system has multiple inputs and outputs. This document introduces the state space method which largely alleviates this problem. The state space representation of a system replaces an nth order differential equation with a single first order matrix differential equation. The state space representation of a system is given by two equations : The first equation is called the state equation, the second equation is called the output equation. For an nth order system (i.e., it can be represented by an nth order differential equation) with r inputs and m outputs the size of each of the matrices is as follows: Several features:The state equation has a single first order derivative of the state vector on the left, and the state vector, q(t), and the input u(t) on the right. There are no derivatives on the right hand side.The output equation has the output on the left, and the state vector, q(t), and the input u(t) on the right. There are no derivatives on the right hand side. q is nx1 (n rows by 1 column)q is called the state vector, it is a function of timeA is nxn; A is the state matrix, a constantB is nxr; B is the input matrix, a constant u is rx1; u is the input, a function of time C is mxn; C is the output matrix, a constant D is mxr; D is the direct transition matrix, a constant y is mx1; y is the output, a function of time Derivation of of State Space Model (Electrical) To develop a state space system for an electrical system, they choosing the voltage across capacitors, and current through inductors as state variables. Recall that so if we can write equations for the voltage across an inductor, it becomes a state equation when we divide by the inductance (i.e., if we have an equation for einductor and divide by L, it becomes an equation for diinductor/dt which is one of our state variable). Likewise if we can write an equation for the current through the capacitor and divide by the capacitance it becomes a state equation for ecapacitor There are three energy storage elements, so we expect three state equations. Try choosing i1, i2 and e1 as state variables. Now we want equations for their derivatives. The voltage across the inductor L2 is e1 (which is one of our state variables)so our first state variable equation is This equation has our input (ia) and two state variable (iL2 and iL1) and the current through the capacitor. So from this we can get our second state equation Our third, and final, state equation we get by writing an equation for the voltage across L1 (which is e2) in terms of our other state variables references: http://lpsa.swarthmore.edu/Representations/SysRepSS.html https://en.wikipedia.org/wiki/State-space_representation

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