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Biosignály a modely
Vyučuje: Juliana Alexandra Knociková
Rozsah: 2/1/0
Semestr: Z
Kód: M445016
Proč studovat
Vývoj nových diagnostických a terapeutických metod a pří-
strojů je dnes plně interdisciplinárním procesem, využívajícím
kromě nových medicínských poznatků také znalostí mate-
matiky, fyziky, informatiky a teorie řízení. Znalosti fungování
fyziologických procesů přispívají zase k rozvoji metod umělé
inteligence.
Témata, kterými se budeme zabývat
Geneze a charakteristika vybraných biosignalů (EKG, EEG,
EMG, ENG, EOG…)
Vzorkování, kvantování, digitální filtrace
Elektrokardiografie a variabilita srdeční frekvence
Spektrální analýza, periodogram a FFT
Nestacionarita a modifikace časovo – frekvenčního rozli-
šení, waveletová analýza
Kvantitativní elektroencefalografie, automatická detekce
paternů
Nelineární dynamika a teorie chaosu
Diskriminační a shluková analýza, fuzzy množiny
Topografické mapování elektrické aktivity mozku
Umělé neuronové sítě, úvod do metod umělé inteligence
●
●
●
●
●
●
●
●
●
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Jak to bude probíhat
Jednotlivé lekce budou koncipovány v souladu se současný-
mi trendy zpracování biosignálů ve výzkumu i klinické praxi.
Řešení praktických úkolů a programování si vyzkoušíte při
pěti semestrálních projektech.
Co se očekává
Základy matematiky a fyziky. Výhodou je znalost základů pro-
gramování v Matlabu.

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BIOSIGNALY A MODELY

  • 1. Biosignály a modely Vyučuje: Juliana Alexandra Knociková Rozsah: 2/1/0 Semestr: Z Kód: M445016 Proč studovat Vývoj nových diagnostických a terapeutických metod a pří- strojů je dnes plně interdisciplinárním procesem, využívajícím kromě nových medicínských poznatků také znalostí mate- matiky, fyziky, informatiky a teorie řízení. Znalosti fungování fyziologických procesů přispívají zase k rozvoji metod umělé inteligence. Témata, kterými se budeme zabývat Geneze a charakteristika vybraných biosignalů (EKG, EEG, EMG, ENG, EOG…) Vzorkování, kvantování, digitální filtrace Elektrokardiografie a variabilita srdeční frekvence Spektrální analýza, periodogram a FFT Nestacionarita a modifikace časovo – frekvenčního rozli- šení, waveletová analýza Kvantitativní elektroencefalografie, automatická detekce paternů Nelineární dynamika a teorie chaosu Diskriminační a shluková analýza, fuzzy množiny Topografické mapování elektrické aktivity mozku Umělé neuronové sítě, úvod do metod umělé inteligence ● ● ● ● ● ● ● ● ● ●
  • 2. Jak to bude probíhat Jednotlivé lekce budou koncipovány v souladu se současný- mi trendy zpracování biosignálů ve výzkumu i klinické praxi. Řešení praktických úkolů a programování si vyzkoušíte při pěti semestrálních projektech. Co se očekává Základy matematiky a fyziky. Výhodou je znalost základů pro- gramování v Matlabu.