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A device to directly measure blood oxygen saturation in a fetus during labor has been developed by researchers at the University of California, Davis. By providing better information about the health of a fetus right before birth, the device could both reduce the rate of cesarean sections and improve outcomes in difficult deliveries.

Since the 1970s, U.S. obstetricians have monitored fetal heart rate and the mother’s rate of contractions as a way to assess the health of the fetus during labor. Taken together, these measurements are a proxy for fetal blood oxygen levels. If the fetus is deprived of oxygen before birth, it may suffer lasting damage or die — leading doctors to perform C-sections if they think a fetus is getting into trouble.

This practice has led to a high rate of C-sections, but without much improvement in the rate of fetal complications associated with oxygen deficiency.

“We wondered if we could build a device to measure fetal blood oxygen saturation directly,” said Soheil Ghiasi, professor of electrical and computer engineering at �������ϲʿ����������ͼ.

Results from the work have been presented at the in Grapevine, Texas in February, and in an upcoming issue of .

Direct measurement of fetal blood oxygen saturation

The new device is based on the same principle as the oximeter you might have slipped on your finger at the doctor’s office. Hemoglobin in red blood cells absorbs colors of light differently depending on how much oxygen it has bound. A finger oximeter measures different wavelengths of light to calculate the oxygen saturation in your blood.

Measuring blood oxygen saturation in a fetus within the mother poses additional problems. First, there’s more tissue to get through to reach the fetus, so only a tiny amount of light can be reflected back to be measured noninvasively.

Second, there’s the problem of separating the signal from fetal blood from that of the mother.

Experimental tests in pregnant sheep, published in IEEE Transactions of Biomedical Engineering, show that the new device could accurately measure oxygen levels in the fetus.

Ghiasi became interested in the problem when he and his wife had their first child five years ago. Although like many couples they had wanted a natural childbirth, they found that the care team soon recommended C-section based on fetal monitoring.

Co-authors and collaborators on the work include: Daniel Fong, Kourosh Vali, Jameson Thies, Rasta Moeinzadeh, Weijian Yang and Andre Knoesen, �������ϲʿ����������ͼ Department of Electrical and Computer Engineering; Kaeli Yamashiro, Laura Galganski, Christopher Pivetti, Aijun Wang and Diana Farmer, �������ϲʿ����������ͼ Department of Surgery; Vivek Srinivasan, �������ϲʿ����������ͼ Department of Biomedical Engineering; Herman Hedriana, �������ϲʿ����������ͼ Department of Obstetrics and Gynecology; M. Austin Johnson, University of Utah; Michael Ross, UCLA; and Emin Maltepe, UCSF.  

Initial funding for the project came from CITRIS and the Banatao Institute, and the �������ϲʿ����������ͼ College of Engineering. Subsequent grant support was provided by the National Science Foundation. The project recently received a grant from �������ϲʿ����������ͼ’ CeDAR data science initiative in collaboration with Naoki Saito, �������ϲʿ����������ͼ Department of Mathematics.

�������ϲʿ����������ͼ has filed patent applications on the device, and Ghiasi and Fong have established a company, Storx Technologies, to commercialize the technology. The company recently received a National Science Foundation STTR grant in collaboration with �������ϲʿ����������ͼ and is negotiating to license the invention from the university. Storx Technologies is part of the CITRIS Foundry incubator at UC Berkeley.