BME 210 HW1 Measuring Cardiac Output Problem Statement and Background
Problem Definition: Cardiac output, the volume of blood pumped by the heart in a given period of time (usually one minute), is one of the most important variables for assessing th
Homework 1
Measuring Cardiac Output
DUE FEBRUARY 2, 2015
AT THE BEGINNING OF CLASS
In class we derived a procedure for measuring cardiac output and blood flow using the indicatordilution principle. This method, also known as the Stewart-Hamilton method, r
Spring 2015 BME 210 HW2
Receptor-Ligand Kinetics
Part 1: Report Overview (15 pts)
Problem Statement and Background (5 pts)
The study of intracellular signaling is integral in understanding cellular behavior
and molecular processes. Cell membrane bound rec
BME 210
Receptor Kinetics
BME 210
Biomedical Computer Simulation Methods
Receptor Kinetics
I
Introduction
II.
Receptor Ligand Kinetics
A. Chemical Rate Laws
B. One Binding Site One Conformational State
C. One Binding Site Two Conformational States
D. Enzy
BME 210 HW1 Measuring Cardiac Output
Problem Statement and Background
Problem Definition: Cardiac output, the volume of blood pumped by the heart in a given period
of time (usually one minute), is one of the most important variables for assessing the
card
BME210
Spring 2009
Receptor-Ligand Kinetics
Solutions - 100 points
Part 1: Report Summary
The N-methly-D-aspartate (NMDA) receptor for the excitatory neurotransmitter glutamate is the primary neurotransmitter in the central nervous system. Its kin
BME210 Spring2009
Homework 4 Solution Therapeutic Drug Development (200 Points)
PART 1: COMPARTMENT MODEL SIMULATION Section 1: Problem Set-up The compartment model shown below describes the pharmacokinetics of a drug administered as an oral dose in
BME 210 Spring 2007
Homework 4 Solution Therapeutic Drug Development (200 Points)
PART 1: COMPARTMENT MODEL SIMULATION Section 1: Problem Set-up The compartment model shown below describes the pharmacokinetics of a drug administered as an oral dose
BME 210 Spring 2009
Medical Imaging
BME 210 Biomedical Computer Simulation Methods Medical Imaging Computerized Tomography
I II. Introduction X-Ray Computed Tomography A. Introduction B. Data Collection for CT C. CT Numbers Solution of Linear Algebraic Eq
BME 210 2009 Spring Semester Homework 2 Receptor-Ligand Kinetics (100 points) Due Monday Feb 23, 2008 (At the start of class)
An important goal of biomedical engineering is to understand cellular behavior in terms of the cells molecular processes. Ce
BME 210 Spring 2009
Modeling the Spread of Disease
BME 210 Biomedical Computer Simulation Methods Modeling Spread of Disease
I II. III. IV. Introduction to the Spread of Disease Computer Simulation of Chance Events One Population Spread of Disease Problem
Matlab Practice
1. Please use help command to learn the following useful matlab build-in functions by yourself.
abs, min, max, sum, ones, zeros, exp, log, sqrt, disp, input, load, length, size, trapz, spline, ode45, odeset,reshape, image, plotyy, li
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BME 210 Homework 6 - Intraocular Drug Delivery
Problem setup: In this assignment, we write a MATLAB program to solve the second-order
PDE that governs the intraocular drug delivery problem in two dimensions. We use our program
to explore the concentration
BME 210 Biomedical Computer Simulation Methods Therapeutic Drug Development
I II.
Introduction Compartment Models A. Examples of Compartment Transfer B. General Compartment Models C. Examples of Compartment Models Compartment Matrices Least Squares
Spring 2015 BME 210 HW1
Measuring Cardiac Output
Problem Statement and Background
Problem Definition: Cardiac output, the volume of blood pumped by the heart in a given period
of time (usually one minute), is one of the most important variables for assess
Medical Imaging
Computerized Tomography
I. Introduction
II. X-Ray Computed Tomography
A.
Introduction
B.
Data Collection for CT
C.
CT Numbers
This is not a hand.
f1
fn
f2
Fraction photons
transmitted
s
- CT #
- ray sum
f
Figure 4. Reconstruction region of
Homework 3: Medical Imaging
DUE MARCH 11, 2015
at the beginning of class
In this homework assignment you will explore the computational problems required to
reconstruct an image from projection data and implement some of the methods used to solve
these pr
Receptor Kinetics
I.
Introduction
II.
Receptor Ligand Kinetics
A. Chemical Rate Laws
B. One Binding Site One Conformational State
C. One Binding Site Two Conformational States
D. Enzyme Kinetics
III. Numerical Solution of a Single Differential
Equation
1
Medical Imaging
Computerized Tomography
I. Introduction
II. X-Ray Computed
Tomography
A. Introduction
B. Data Collection for CT
C. CT Numbers
Thisisnotahand.
f1
fn
f2
Fraction photons
transmitted
m
s
- CT #
- ray sum
f
n n
Figure 4. Reconstruction region
2/21/11
An important field within biomedical engineering looks at the interactions
between a cell membrane and outside stimuli. Cell membrane receptor interactions direct
many processes within the cell, and if understood can be manipulated by an engineer
Part4: Problem Statement and Background
A)
Cardiac output and blood flow can be measured using the indicator dye method.
By measuring the dyes concentration in the blood at specific time intervals as the dye
flows through the circulatory system, doctors c
BME 210 Spring 2011
Name:
_
_
EXAMINATION #2
(1 hour, 15 minutes)
1.
(15 points)
Consider the 9 element pixel grid shown below. Each pixel has a CT number i.
a) Draw 10 different projections resulting in 10 ray sums S1, S10. The first projection has
been
BME 210 Spring 2011
Name: Solutions
_
EXAMINATION #1
(1 hour, 15 minutes)
1.
(20 points)
A dye-dilution procedure was performed in a patient in which 0.02 grams of dye were injected
into the superior vena cava and the dye concentrations (C(t) given in the
Exam 1 Review
I.
Measuring Cardiac Output
A. Cardiovascular System
B. Concept of Indicator Dilution Technique
C. Recirculation Hump Correction
D. Numerical Integration: Estimating Area Under the Curve (AUC)
1. Rectangular
2. Trapezoidal
3. Simpsons
E. Cub
Equations:
C = D/V (mg/L) / concentration
R = V/T (L/sec) / Rate/Flow
V = R*T = D/C / Volume
Q = D/(C*T) / Rate/Flow
Mass balance: C =
4.
Assumptions for Stewart-Hamilton Technique:
1. The dye is inert it remains in the vascular space, unchanged.
2.
3.
4.