Subono, Alfin Hidayat, Vivien Arief Wardhany, Ika Noer Syamsiana, Galang Sandy Prayogo, Nur Anis Agustina
The limitations of data examination equipment for pregnant women at risk, health workers supporting the program are limited and lack high mobility, so that the purpose of the program, namely early detection of patients with high risk pregnant women, is deemed less effective. The solution in the form of research is the creation of an Internet of Things-based Mobile CTG Kit innovation to measure fetal heart rate, fetal activity, and uterine contractions. So that it will help medical personnel in determining the right action for pregnant women at risk during the pregnancy process until birth. In the use of CTG devices using Doppler Ultrasound and Arduino, the measurement results obtained from biomedical signals with an error factor of 4% © 2022 IEEE.
Politeknik Negeri Banyuwangi, Department Informatics Enineering, Banyuwangi, Indonesia; Politeknik Negeri Malang, Electrical Engineering Department, Malang, Indonesia; Politeknik Negeri Banyuwangi, Department Mechanical Engineering, Banyuwangi, Indonesia; Public Health Service Kabat Pusat Kesehatan Masyarakat Kabat, Banyuwangi, Indonesia