Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation

• Published in: Sensors (Basel, Switzerland) Vol. 21; no. 7; p. 2281
• Main Authors: Sarhaddi, Fatemeh, Azimi, Iman, Labbaf, Sina, Niela-Vilén, Hannakaisa, Dutt, Nikil, Axelin, Anna, Liljeberg, Pasi, Rahmani, Amir
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 24.03.2021; MDPI
• Subjects: Artificial intelligence; Blood pressure; Data collection; Energy efficiency; Exercise; Female; Finland; Gestational diabetes; Human subjects; Humans; Hypertension; Infant; Internet of Things; Life Style; Maternal & child health; Maternal child nursing; maternal health; Mobile communications networks; Monitoring systems; Monitoring, Physiologic; Mothers; Pregnancy; Pregnancy complications; Premature birth; Questionnaires; remote health monitoring; Reproducibility of Results; Sleep; Smartphones; Wearable computers; wearable device; Well being; Womens health; Finland; wearable device; maternal health; remote health monitoring; Internet of Things

Pregnancy is a unique time when many mothers gain awareness of their lifestyle and its impacts on the fetus. High-quality care during pregnancy is needed to identify possible complications early and ensure the mother’s and her unborn baby’s health and well-being. Different studies have thus far prop...