Continuous Heart Volume Monitoring by Fully Implantable Soft Strain Sensor


METADATA ONLY
Loading...

Date

2020-10-07

Publication Type

Journal Article

ETH Bibliography

yes

Citations

Altmetric
METADATA ONLY

Data

Rights / License

Abstract

Cardiothoracic open‐heart surgery has revolutionized the treatment of cardiovascular disease, the leading cause of death worldwide. After the surgery, hemodynamic and volume management can be complicated, for example in case of vasoplegia after endocarditis. Timely treatment is crucial for outcomes. Currently, treatment decisions are made based on heart volume, which needs to be measured manually by the clinician each time using ultrasound. Alternatively, implantable sensors offer a real‐time window into the dynamic function of our body. Here it is shown that a soft flexible sensor, made with biocompatible materials, implanted on the surface of the heart, can provide continuous information of the heart volume after surgery. The sensor works robustly for a period of two days on a tensile machine. The accuracy of measuring heart volume is improved compared to the clinical gold standard in vivo, with an error of 7.1 mL for the strain sensor versus impedance and 14.0 mL versus ultrasound. Implanting such a sensor would provide essential, continuous information on heart volume in the critical time following the surgery, allowing early identification of complications, facilitating treatment, and hence potentially improving patient outcome.

Publication status

published

Editor

Book title

Volume

9 (19)

Pages / Article No.

2000855

Publisher

Wiley

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

hemodynamic monitoring; physiologic control; strain sensors; stretchable electronics; Volume sensor

Organisational unit

03943 - Meboldt, Mirko / Meboldt, Mirko check_circle
09667 - Falk, Volkmar (ehemalig) / Falk, Volkmar (former) check_circle
03741 - Vörös, Janos / Vörös, Janos

Notes

Funding

Related publications and datasets