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Aguascalientes

101 Av. Josemaría Escrivá de Balaguer,
Villas de Bonaterra,
ZIP Code 20296, Aguascalientes,
Aguascalientes, Mexico
Switchboard: +52 449 910 6200 / 449 910
6209 Ext. 7113
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Mexico City (CDMX)

Augusto Rodin No. 498,
Insurgentes Mixcoac,
Zip Code 03920, Benito Juárez,
Mexico City
Switchboard: +52 55 5482 1600 / 55 5482
1700 / 800 627 2287
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UP CITY

La Venta–Chamapa Highway, no. s/n,
Single lot.
Former San Cristóbal ejido, ZIP Code 52796,
Texcalucan, Huixquilucan,
State of Mexico
Switchboard: +52 55 5482 1600 Ext. 5800
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Guadalajara

Álvaro del Portillo No. 49,
Ciudad Granja,
ZIP Code 45010, Zapopan,
Jalisco, Mexico
Switchboard: +52 33 1368 2200 / 33 1368 2211
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Santa Fe

Park Plaza II, 3rd Floor.
Av. Javier Barros Sierra,
No. 540, 3rd Floor. Col. Santa Fe,
ZIP Code 01210, Álvaro Obregón District.
Switchboard: +52 55 5482 1600 ext. 5700
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Classification of Cardiotocography Signals in Non-Stress Tests Using Machine Learning

Classification of Cardiotocography Signals in Non-Stress Tests Using Machine Learning

This project proposes the development of a machine learning method for the automated classification of cardiotocography images in non-stress tests. The non-stress test is a noninvasive technique for assessing fetal well-being by monitoring the fetal heart rate in response to uterine activity.

Researchers: Dr . Mario Lumbreras, Dr. Hiram Ponce, Dr. Ernesto Moya Albor, and Dr. Jorge Brieva Rico

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