De grootste kennisbank van het HBO

Inspiratie op jouw vakgebied

Vrij toegankelijk

Terug naar zoekresultatenDeel deze publicatie

Occlusion detection and localization in multi-infusion systems with Alaris GH syringe pumps

Rechten: Alle rechten voorbehouden

Occlusion detection and localization in multi-infusion systems with Alaris GH syringe pumps

Rechten: Alle rechten voorbehouden

Samenvatting

In Intensive Care Units, drugs are administered to critically ill patients intravenously using infusion systems. Unfortunately, the occurrence of occlusions (blockades) in infusion systems are a relatively common phenomenon. Fluctuations in, or absence of, drug delivery can have serious and even fatal consequences for the patient. In addition, false occlusion alarms can lead to nurse alarm fatigue and patient distress. This thesis presents a new method for detecting and localizing occlusions in multi-infusion systems. The goal was to develop an algorithm capable of early occlusion detection and localization in multi-infusion systems. Data was obtained using a test setup comprising of Alaris GH syringe pumps and an IDA 4 infusion device analyser. A new algorithm for automatic occlusion detection was successfully implemented and benchmarked on 30 signals. The time to occlusion alarm was reduced by 86% on average, with only one occlusion being marked incorrectly. In conclusion, a new method was developed for rapid automatic occlusion detection and localization. Thus far the method yielded promising results and although it requires further testing, it is expected that optimization of the occlusion detection algorithm will significantly increase patient-safety.

Toon meer
OrganisatieHanzehogeschool Groningen
OpleidingMaster Sensor Technology
AfdelingInstituut voor Engineering
Jaar2017
TypeMaster
TaalEngels

Op de HBO Kennisbank vind je publicaties van 26 hogescholen

De grootste kennisbank van het HBO

Inspiratie op jouw vakgebied

Vrij toegankelijk