Portable Ultrasound Research System for Use in Automated Bladder Monitoring with Machine-Learning-Based Segmentation

Portable Ultrasound Research System for Use in Automated Bladder Monitoring with Machine-Learning-Based Segmentation

We developed a new mobile ultrasound device for long-term and automated bladder monitoring without user interaction consisting of 32 transmit and receive electronics as well as a 32-element phased array 3 MHz transducer. The device architecture is based on data digitization and rapid transfer to a c...

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Bibliographic Details
Main Authors: Marc Fournelle, Tobias Grün, Daniel Speicher, Steffen Weber, Mehmet Yilmaz, Dominik Schoeb, Arkadiusz Miernik, Gerd Reis, Steffen Tretbar, Holger Hewener
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sensors
Subjects:
POCUS
multichannel system
channel data
bladder monitoring
POUR
machine-learning
Online Access:https://www.mdpi.com/1424-8220/21/19/6481

Internet

https://www.mdpi.com/1424-8220/21/19/6481

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