Prediction of the recovery from neuromuscular block

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Journal Title

Journal ISSN

Volume Title

Sähkötekniikan korkeakoulu | Master's thesis

Date

2019-09-30

Department

Major/Subject

Biosensing and Bioelectronics

Mcode

ELEC3045

Degree programme

Master's Programme in Life Science Technologies

Language

en

Pages

110 + 6

Series

Description

Supervisor

Särkkä, Simo

Thesis advisor

Uutela, Kimmo

Keywords

neuromuscular transmission monitoring, neuromuscular blocking agents, mathematical modeling, recovery time estimation, sigmoid

Other note

Citation