Research Article
A Non-invasive Cloud-Based IoT System and Data Analytics Support for Women Struggling with Drug Addictions During Pregnancy
@INPROCEEDINGS{10.1007/978-3-030-69963-5_2, author={Victor Balogun and Oluwafemi A. Sarumi and Oludolapo D. Balogun}, title={A Non-invasive Cloud-Based IoT System and Data Analytics Support for Women Struggling with Drug Addictions During Pregnancy}, proceedings={IoT Technologies for HealthCare. 7th EAI International Conference, HealthyIoT 2020, Viana do Castelo, Portugal, December 3, 2020, Proceedings}, proceedings_a={HEALTHYIOT}, year={2021}, month={7}, keywords={Drug addiction Pregnant women IoT Cloud Fog Healthcare WBAN}, doi={10.1007/978-3-030-69963-5_2} }- Victor Balogun
Oluwafemi A. Sarumi
Oludolapo D. Balogun
Year: 2021
A Non-invasive Cloud-Based IoT System and Data Analytics Support for Women Struggling with Drug Addictions During Pregnancy
HEALTHYIOT
Springer
DOI: 10.1007/978-3-030-69963-5_2
Abstract
Drug abuse among pregnant women and the subsequent neonatal illness are very crucial clinical and social problems. Drugs misuse during pregnancy places the mother and her baby at increased risk of severe complications including deformities, low birth weight, and mental disabilities. Pregnancy can motivate a woman to enter into an addiction treatment program to protect her unborn baby from the effects of drug misuse. Despite the availability of several treatment centers, many women do not seek needed help during and after pregnancy. Some of the reasons include stigmatization, fear of their babies being taken away by Child and Family Services, and the fear of confinement to a facility. In this paper, we propose a non-invasive Cloud-based Internet-of-Things (IoT) and Data Analytics framework that will provide support for women seeking addiction treatment during pregnancy. The system will use simplified sensors incorporated into a smartwatch to monitor, collect, and process vital data from pregnant women to identify instances of emergencies. During emergencies, the system automatically contacts specific needed service(s) and sends the processed data to the cloud for storage and Data Analytics to provide deeper insight and necessary decision making. The framework ensures that pregnant women are not confined into a facility and are reachable remotely by healthcare practitioners during addiction treatment. These capabilities guarantee that the system is operational during global pandemics like COVID-19. The framework integrates every patient’s data into a centralized database accessible to all healthcare practitioners thereby preventing multiple prescriptions of the same medication by different doctors.
