FIELD ASSESSMENT METHODS AND TOOLS

Degree course: 
Academic year when starting the degree: 
2022/2023
Year: 
1
Academic year in which the course will be held: 
2022/2023
Course type: 
Compulsory subjects, characteristic of the class
Seat of the course: 
Varese - Università degli Studi dell'Insubria
Credits: 
3
Period: 
First Semester
Standard lectures hours: 
24
Detail of lecture’s hours: 
Lesson (24 hours)
Requirements: 

Basic knowledge of Physics

Written test

Assessment: 
Voto Finale

Providing the knowledge to autonomously deal with the study of sports gestures or motor activities, by instructing the student on the physiological mechanisms involved, on the instrumentation for the detection of the physical quantities of interest, on the treatment and statistical processing of the collected data.

Theory of measures and signals; elements of Statistics, EMG, ECG, nerve activity, blood pressure, and PPG

Measurements: Analog and Digital Measurement, Measurement Errors, Digitization and Quantization Error, Accuracy and Precision, Measurement Units, Dimensional Calculation
Signals: Physical Signal, Analog Signal and Noise; Energy and Power of a Signal; Fourier series of a periodic signal; Analog Filters; Digital Signals; Aliasing; Fourier Transform, Spectrum and Cross-Spectrum
Descriptive Statistics: Population and Statistical Sample; Statistics Variables; Data Storage, Databases and Worksheets; Descriptive statistics of qualitative variables; Descriptive statistics of quantitative variables; Central Indices; Dispersion indices; Joint description of several variables; Multi-entry tables; Linear Correlation; Statistics of a sample and statistics of a time series;
Inferential Statistics: Probability; Probability Density and Probability Distribution Function; Normal (or Gaussian) Probability Density; How to decide if an observed value comes from a given population? Estimator of the mean of a population; standard deviation vs. standard error; Difference between means of two samples
Biopotentials: Physical Principles; Action potential of the neuron; Microneurography; Electrodermal activity;
Electromyography: Generation of the EMG signal; electrodes; Conduction speed; EMG signal analysis; Mechanomiography
Electrocardiogram: Heart Muscle; Cardiac mechanics; Cardiac action potential; ECG; Electrodes and Leads; Frequency content, filtering, sampling rate; Heart rate variability (Heart Rate Variability); HRV: Indices in the Time Domain (Time-Domain); HRV: Indices in the Frequency Domain (Frequency-Domain); HRV: Complexity Indexes (Complexity-Domain); HRV software
Blood Pressure: Definition of Pressure; Pressure in a liquid; Hydrostatic pressure; Hydraulic Resistance and Hydrodynamic Pressure; Pressure in a Heart Chamber; Vascular compliance; Invasive measurement of blood pressure; Extravascular sensor; Intravascular sensor; Pressure waveform; Intermittent non-invasive measurement from cuff; Sphygmomanometer by Riva-Rocci and Korotkov; Oscillometric method; Continuous non-invasive measurement: photoplethysmographic method; Hydrostatic Pressure as Measurement Error; Pulse Contour Analysis; Blood Pressure Variability (BPV); BPV indices;
Photoplethysmogram: Transmittance and Reflectance; Wavelength; Signal characteristics; PPG and Vascular Features; PPG and Heart Rate Variability; PPG and Oxygen Saturation; PPG and Blood Pressure

Frontal lesson and homework with correction by the teacher