eprintid: 9907 rev_number: 8 eprint_status: archive userid: 2 dir: disk0/00/00/99/07 datestamp: 2023-11-30 23:30:06 lastmod: 2023-11-30 23:30:09 status_changed: 2023-11-30 23:30:06 type: article metadata_visibility: show creators_name: Hossain, Mohammad Mobarak creators_name: Kashem, Mohammod Abul creators_name: Islam, Md. Monirul creators_name: Sahidullah, Md. creators_name: Mumu, Sumona Hoque creators_name: Uddin, Jia creators_name: Gavilanes Aray, Daniel creators_name: de la Torre Diez, Isabel creators_name: Ashraf, Imran creators_name: Samad, Md Abdus creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: daniel.gavilanes@uneatlantico.es creators_id: creators_id: creators_id: title: Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review ispublished: pub subjects: uneat_eng divisions: uneatlantico_produccion_cientifica divisions: uninimx_produccion_cientifica divisions: unic_produccion_cientifica full_text_status: public keywords: patient monitoring; Internet of Things; healthcare in IoT; m-health; maternal care coordination; maternal health data-set; risk factor; medication reminder; prenatal care; neonatal care; postpartum care; antenatal care abstract: The Internet of Things (IoT) has positioned itself globally as a dominant force in the technology sector. IoT, a technology based on interconnected devices, has found applications in various research areas, including healthcare. Embedded devices and wearable technologies powered by IoT have been shown to be effective in patient monitoring and management systems, with a particular focus on pregnant women. This study provides a comprehensive systematic review of the literature on IoT architectures, systems, models and devices used to monitor and manage complications during pregnancy, postpartum and neonatal care. The study identifies emerging research trends and highlights existing research challenges and gaps, offering insights to improve the well-being of pregnant women at a critical moment in their lives. The literature review and discussions presented here serve as valuable resources for stakeholders in this field and pave the way for new and effective paradigms. Additionally, we outline a future research scope discussion for the benefit of researchers and healthcare professionals. date: 2023-11 publication: Sensors volume: 23 number: 23 pagerange: 9367 id_number: doi:10.3390/s23239367 refereed: TRUE issn: 1424-8220 official_url: http://doi.org/10.3390/s23239367 access: open language: en citation: Artículo Materias > Ingeniería Universidad Europea del Atlántico > Investigación > Producción Científica Universidad Internacional Iberoamericana México > Investigación > Producción Científica Universidad Internacional do Cuanza > Investigación > Producción Científica Abierto Inglés The Internet of Things (IoT) has positioned itself globally as a dominant force in the technology sector. IoT, a technology based on interconnected devices, has found applications in various research areas, including healthcare. Embedded devices and wearable technologies powered by IoT have been shown to be effective in patient monitoring and management systems, with a particular focus on pregnant women. This study provides a comprehensive systematic review of the literature on IoT architectures, systems, models and devices used to monitor and manage complications during pregnancy, postpartum and neonatal care. The study identifies emerging research trends and highlights existing research challenges and gaps, offering insights to improve the well-being of pregnant women at a critical moment in their lives. The literature review and discussions presented here serve as valuable resources for stakeholders in this field and pave the way for new and effective paradigms. Additionally, we outline a future research scope discussion for the benefit of researchers and healthcare professionals. metadata Hossain, Mohammad Mobarak; Kashem, Mohammod Abul; Islam, Md. Monirul; Sahidullah, Md.; Mumu, Sumona Hoque; Uddin, Jia; Gavilanes Aray, Daniel; de la Torre Diez, Isabel; Ashraf, Imran y Samad, Md Abdus mail SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, daniel.gavilanes@uneatlantico.es, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR (2023) Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review. Sensors, 23 (23). p. 9367. ISSN 1424-8220 document_url: http://repositorio.unic.co.ao/id/eprint/9907/1/sensors-23-09367-v2.pdf