GOALS

The stu­dents have prac­tical ex­pe­ri­ence with and know­ledge about:

• Cir­cuit tech­no­lo­gy of bio­po­ten­ti­al am­pli­fiers.
• Sen­sor tech­no­lo­gy (pres­su­re, vo­lu­me flow, gas ana­ly­sis).
• Wor­king with Re­al-Ti­me-Mat­lab/Si­mu­link.
• Si­gnal pro­ces­sing.
• The ex­pe­ri­ence of phy­sio­lo­gi­cal ba­sics on the own body.

CONTENT

The prac­tical cour­se deepens the lec­tu­re Bio­me­di­cal Sys­tems I in 4 ex­pe­ri­men­tal blocks.

• Me­a­su­re­ment of Bio­po­ten­ti­als: Dif­fe­ren­ti­al am­pli­fier, in­stru­men­ta­ti­on am­pli­fier, iso­la­ti­on, fil­te­ring, re­gis­tra­ti­on of ECG, EMG and EEG on the own body.
• Spi­ro­me­try and re­spi­ra­to­ry gas ana­ly­sis: Spi­ro­me­tric basic data will be collec­ted at a cli­ni­cal work­place. Fur­ther­mo­re, the en­er­gy con­ver­si­on in the body will be me­a­su­red and the ef­fi­ci­en­cy of cy­cling will be de­ter­mined.
• Au­to­ma­tic blood pres­su­re me­a­su­re­ment: Using an elec­tric air pump, a blood pres­su­re cuff with micro­pho­ne, a pres­su­re sen­sor and elec­tro­ma­gne­tic val­ves, a Mat­lab/Si­mu­link-ba­sed au­to­ma­tic blood pres­su­re me­a­su­re­ment sys­tem ac­cor­ding to Ri­va-Roc­ci-Ko­rot­koff has to be de­ve­lo­ped. The per­for­mance will be com­pa­red with that of a com­mer­ci­al de­vice in some harm­less pro­vo­ca­ti­on tests (Schel­long test, Valsal­va ma­no­eu­vre, phy­si­cal work).
• Si­gnal pro­ces­sing with Mat­lab/Si­mu­link using the ECG as an ex­amp­le: de­ter­mi­na­ti­on of heart rate, in­ves­ti­ga­ti­on of heart rate va­ria­bi­li­ty in time and fre­quen­cy do­main, in­ter­fe­rence sup­pres­si­on by ad­ap­ti­ve fil­te­ring.

REQUIREMENTS

none

RECOMMENDED KNOWLEDGE

Basic Lec­tu­res of ETIT, Con­tent of the Lec­tu­re Bio­me­di­cal Sys­tems I

LITERATURE

1. Gamm, Eber­hard, Schenk, Chris­toph, Tiet­ze, Ul­rich "Halb­lei­ter-Schal­tungs­tech­nik", Sprin­ger Ver­lag, 2016
2. Webs­ter, John G. "Me­di­cal In­stru­men­ta­ti­on Ap­p­li­ca­ti­on and De­sign", Wiley & Sons, 2009

MISCELLANEOUS

The lecture is organized via Moodle. The password for self-enrollment is "EKG". For participation in the practical course, attendance at the introductory event on Thursday, 04/07/2022, starting 12 am in ID 04/413 is mandatory. You will receive all further information at the introductory event.