Open-access smart blood pump platform for controlling extracorporeal membrane oxygenation

Clinical blood pump consoles for extracorporeal membrane oxygenation (ECMO) are poorly accessible to researchers due to their high cost. Furthermore, clinical machines are built and designed at a high level of information security, which limits their integration with third-party machines and software. These barriers hinder researchers from customizing blood pump consoles for their investigational needs, limiting innovations and advancements in the areas of blood pump automation and pulsation. To address these needs, we present on a programmable Smart Blood Pump console. This console can be assembled for under $200 and uses open-source tools including Arduino. Using this console, centrifugal blood pump heads can be operated at clinically relevant levels of flow and pressure needed in extracorporeal life support applications (>250 mmHg pressure head, >4 L/min of blood flow). Additionally, the programmable nature allows for utility beyond the standard indications of clinical extracorporeal blood pumps, including pulsatility and servo control. For future directions, this console will be further developed to accommodate a wider range of clinical pump heads. We envision that this will be an affordable, open-access platform to suit the varying needs of engineers and researchers for fostering innovations in ECMO technology.

Authors

Institutions

Publication Details

Journal
HardwareX
Published
2025-03-27
DOI
https://doi.org/10.1016/j.ohx.2025.e00644
Citations
1
Primary Topic
Mechanical Circulatory Support Devices
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Open-access smart blood pump platform for controlling extracorporeal membrane oxygenation

Rei Ukita, Michael Cortelli, Matthew D. Bacchetta, Gabriella Glomp et al.
1 citations
HardwareX
Mechanical Circulatory Support Devices
0.67
article

Open-access smart blood pump platform for controlling extracorporeal membrane oxygenation

Rei Ukita, Michael Cortelli, Matthew D. Bacchetta, Gabriella Glomp, Briana Bernicker
article en
1 citations

Abstract

Clinical blood pump consoles for extracorporeal membrane oxygenation (ECMO) are poorly accessible to researchers due to their high cost. Furthermore, clinical machines are built and designed at a high level of information security, which limits their integration with third-party machines and software. These barriers hinder researchers from customizing blood pump consoles for their investigational needs, limiting innovations and advancements in the areas of blood pump automation and pulsation. To address these needs, we present on a programmable Smart Blood Pump console. This console can be assembled for under $200 and uses open-source tools including Arduino. Using this console, centrifugal blood pump heads can be operated at clinically relevant levels of flow and pressure needed in extracorporeal life support applications (>250 mmHg pressure head, >4 L/min of blood flow). Additionally, the programmable nature allows for utility beyond the standard indications of clinical extracorporeal blood pumps, including pulsatility and servo control. For future directions, this console will be further developed to accommodate a wider range of clinical pump heads. We envision that this will be an affordable, open-access platform to suit the varying needs of engineers and researchers for fostering innovations in ECMO technology.

HardwareXVol. 22
Vanderbilt University (US), Vanderbilt University Medical Center (US)
Openalex Percentile: Top 33%
Mechanical Circulatory Support Devices
0.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.