at Google ScholarTitle data
Pontones, Constanza ; Titzmann, Adriana ; Langbein, M. ; Danzberger, Nina ; Böckler, I. ; Goossens, Chloë ; Häberle, Lothar ; Eskofier, Bjoern M. ; Leutheuser, Heike ; Schneider, Michael O. ; Beckmann, Matthias W. ; Fasching, Peter A. ; Huebner, Hanna:
Feasibility, Acceptance and Quality of Remote Self-Guided Mobile Ultrasound in Prenatal Care : A Feasibility Study.
In: Ultraschall in der Medizin = European Journal of Ultrasound.
Vol. 46
(2025)
Issue S 01
.
- S35-S36.
ISSN 1438-8782
DOI: https://doi.org/10.1055/s-0045-1812261
Abstract in another language
Hintergrund: The study aimed to evaluate the feasibility, user acceptance and image quality of self-administered ultrasound examinations using the Pulsenmore ES system with two operational modes:(1) Clinican-Guided (CG) mode including real-time teleguidance and (2) App-Guided (AG) mode following a video tutorial.
Methoden: In this open, prospective, single-center feasibility study, 52 women with singleton pregnancies from 17+ 1 to 39+ 2 weeks of gestation were included. Remote guidance was provided through both modes in a cross-over study setting. Feasibility and acceptance were evaluated using a questionnaire. Success rates of detecting the fetal presentation, fetal heartbeat, fetal profile and amniotic fluid were assessed.
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Ambient Assisted Living and Medical Assistance Systems Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Ambient Assisted Living and Medical Assistance Systems > Chair Ambient Assisted Living and Medical Assistance Systems - Univ.-Prof. Dr. Heike Leutheuser |
| Result of work at the UBT: | No |
| DDC Subjects: | 000 Computer Science, information, general works 600 Technology, medicine, applied sciences |
| Date Deposited: | 23 Feb 2026 13:15 |
| Last Modified: | 23 Feb 2026 13:15 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/96365 |