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Наталья Васильевна Карасенко

Topic outline

  • The student must learn the material on the topic and be able to answer the following questions:

    1. Evidence-based medicine
    2. A random event. The probability of a random event. Classical and statistical definition of probability.
    3. The concept of compatible and incompatible events. The law (theorem) of addition of probabilities. Examples of compatible and incompatible events.
    4. The concept of dependent and independent events. Conditional probability, the law (theorem) of multiplication of probabilities. Examples of dependent and independent events.
    5. Continuous and discrete random variables.
    6. Distribution of discrete and continuous random variables and their characteristics: mathematical expectation, variance, standard deviation.
    7. Function of distribution. Density of probability. 
    8. Continuous random variable normal distribution law. 

  • The student must learn the material on the topic and be ABLE to answer the following questions: 

    1. General population and sample. Population and sample examples. Sample size, representativeness. 

    2. Statistical distribution (variation series). Bar chart. 

    3. Characteristics of position (mode, median, sample mean) and dispersion (sample variance and sample standard deviation). 

    4. Estimation of the parameters of the general population based on its sample (point and interval). 

    5. Confidence interval, confidence probability, level of significance.


  • The student must learn the material on the topic and be ABLE to answer the following questions:
    1. Statistical hypothesis.
    2. General formulation of the hypothesis testing problem.
    3. Comparison of the mean values ​​of two normally distributed general populations. Student's criterion.
    4. Testing hypotheses for variances. Fisher's criterion.
    5. Testing hypotheses about distribution laws. Pearson's criterion.
    6. Nonparametric tests.


  • TOPIC: FUNDAMENTALS OF THEORY OF PROBABILITIES  AND MATHEMATICAL STATISTICS

    Students should learn the material on the topic and be able to answer the following questions:

    1. Fundamentals of probabilities theory
    - The concept of evidence-based medicine.
    - Random event. Definition of probability (statistical and classical). The concept of compatible and incompatible events, dependent and independent events. Addition and multiplication theorems for probabilities.
    - Continuous and discrete random variables. Distribution of discrete and continuous random variables, their characteristics: mathematical expectation, variance, standard deviation.
    - Normal law of distribution of continuous random variables. Distribution function. Probability density.
    2. Basics of Mathematical Statistics
    - General population and sample. Sample size, representativeness.
    - Statistical distribution (variation series). Bar chart. Characteristics of position (mode, median, sample mean) and scatter (sample variance and sample standard deviation).
    - Estimation of the parameters of the general population by the characteristics of its sample (point and interval).
    - Confidence interval and confidence probability. Level of significance
    3. Statistical hypotheses testing
    - Comparison of the means of two normally distributed populations.
    - Fisher's comparison criterion.
    - Pearson's comparison criterion.
    - Nonparametric tests.


  • Laboratory work: «Study of the objective and subjective characteristics of sound and the spectral characteristics of hearing»

     The student must learn the material on the topic and be able to answer the following questions:

    1. Mechanical waves. Plane wave equation.
    2. Parameters of oscillations and waves.
    3. Energy characteristics of the wave.
    4. Sound. Physical characteristics of sound. Characteristics of the auditory sensation and their relationship to the physical characteristics of sound.
    5. Weber-Fechner law.
    6. Audiometry.
    7. Physical foundations of sound research methods in the clinics.

  • The student must learn the material on the topic and be able to answer the following questions:

    1. Viscosity. Newton's formula, Newtonian and non-Newtonian fluids.
    2. Blood as a non-Newtonian liquid. Influence of the properties of erythrocytes on the non-Newtonian character of blood.
    3. Methods for determining the viscosity of fluids.
    4. Laminar and turbulent flows. Reynolds number.
    5. Stationary flow.
    6. Poiseuille's formula.
    7. Hydraulic resistance in series, parallel and combined piping systems. Branching vessels

  • The student must learn the material on the topic and be able to answer the following questions:

    1. Biological membranes. The structure and physical properties of biological membranes.
    2. Functions of biological membranes: matrix, transport, barrier.
    3. Types of passive transport.
    4. Passive transport of non-electrolytes. Fick's equation.
    5. Passive transport of electrolytes. Nernst-Planck equation.
    6. The concept of active transport of ions through biological membranes.
    7. Types of active transport.

  • Students should study the material on the topic and be able to answer the following questions:

    1. Resting potential (RP). RP formation mechanism. Goldman-Hodgkin-Katz equation.
    2. Action potential (AP). The mechanism of action potential formation on the membranes of nerve and muscle cells.
    3. Electric dipole. Dipole electric field.
    4. Current dipole. Electric field of a current dipole in an unlimited conducting medium.
    5. Concept of a dipole equivalent generator of the heart, brain and muscles.
    6. Einthoven's model. Genesis of electrocardiograms in three standard leads within this model.

     

    Guidelines

    1. Learn the lecture presentation material
    2. Write the protocol in the workbook, as described in the file "Biophysical fundamentals of ECG."
    In a concise protocol theory, reflect the answers to the questions in the session topic.
    3. Watch an instructional video
    4. Select an electrocardiogram from the file with individual tasks. The variant number is determined by the number to the left of the forward slash of the grade book number. For example 37/19. Option 7. Perform calculations.
    5. Complete the lab report and email the instructor a photo of the report.

    LITERATURE

    1. Lecture notes.

    Extracurriculum work

    Lecture    File PowerPoint 2007 Presentation, 5.1MB
    Biophysical fundamentals of ECG File Word 2007 document, 865.8KB
    Individual tasks File Word 2007 document, 2MB

  • The student must study the material on the topic and be able to answer the following questions:
    1. Electrical conductivity of biological tissues.
    2. Processes in tissues under the action of electric currents.
    3. Galvanization, medicinal electrophoresis.
    4. Frequency dependence of the threshold of sensible and non-releasing currents.
    5. Passive electrical properties of human body tissues.
    6. Equivalent electrical circuits of intact tissues.
    7. Total resistance (impedance) of living tissues. Frequency dependence.

    QUESTIONS

    1. The mechanism of direct current through biological tissue. Galvanization. Therapeutic electrophoresis.
    2. Types and arrangement of pacemakers. Defibrillator. 
    3. The action of low frequency currents on the human body. Electrosleep.
    4. Mechanism of action on biological tissue of modulated sinusoidal currents. Amplipulse. Application in medicine. 
    5. The action of currents and fields of high frequency on the human body. D’arsonvalization. Inductothermy. 
    6. UHF therapy. Microwave therapy. 
    7. EHF-therapy. Mechanism of action. Application in medicine.
    8. Thermal action of currents and fields. Application in physiotherapy. 
    9. The specific effect of high-frequency currents and fields on the human body.
    10. Effect of laser radiation on biological tissues. The use of lasers in medicine: ophthalmology, dentistry, surgery, therapy, oncology.