|Medical equipment data|
|Export to||Open Know How Manifest|
|Part of||Global Health Medical Device Compendium|
|Type||Medical equipment, Project|
|SDGs Sustainable Development Goals||SDG03 Good health and well-being
|License||CC BY-SA 3.0|
|Translate to||Français, Español, Kiswahili, 中文, العربية, Русский, more|
|Export to||PDF, LaTeX, EPUB, ODT|
|Cite as Evashiu (2021). "Handheld Maternal-Fetal Early Warning System". Appropedia. Retrieved 2021-10-24.|
Problem being addressed[edit | edit source]
In the poorest countries, there are 500 million maternal deaths, 3.2 million still births, and 4 million neonatal deaths each year. To prevent mortality, early detection of preeclampsia, labor dystocia, and the presence of preterm labor are important for determining possible hazards.
Detailed description of the solution[edit | edit source]
To detect problems with the mother and fetus during pregnancy, a system of reusable capacitive sensors and smart phones may be used to detect the presence of potential ailments. The device is a maternal-fetal monitoring system that aides medical personnel in decision-making. Once ailments are detected the patients may be sent to the proper facilities for treatment.
Designed by[edit | edit source]
- Designed by: Neil Euliano of Convergent Engineering, Gainesville, FL, USA
- Manufacturer location: Florida, USA
Funding Source[edit | edit source]
This project received $100,000 in funding from the Bill & Melinda Gates Foundation Grand Challenges Explorations Grant.
References[edit | edit source]
Other internally generated reports[edit | edit source]
Clary, B. (n.d.). Non-invasive, All-inclusive Maternal-Fetal Monitoring System. University of Florida Office of Tecnology Licensing. Retrieved February 5, 2013. PDF available here.
Convergent Engineering. (n.d.). National Institutes of Health Commercialization Assistance Program. Retrieved February 5, 2013. PDF available here.
Externally generated reports[edit | edit source]
Round 5. (n.d.). Grand Challenges in Global Health. Retrieved February 5, 2013. Link available here.
IP and copyright[edit | edit source]
U.S. Patent #8,275,451