Health-monitoring of pregnant women: Design requirements, and proposed reference architecture

2019 ◽  
Author(s):  
Suman Kumar ◽  
Yashi Gupta ◽  
Vijay Mago
Keyword(s):  
Pregnant Women ◽  
Health Monitoring ◽  
Reference Architecture ◽  
Design Requirements

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

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2281
Author(s):  
Fatemeh Sarhaddi ◽  
Iman Azimi ◽  
Sina Labbaf ◽  
Hannakaisa Niela-Vilén ◽  
Nikil Dutt ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Maternal Health ◽  
Pregnant Women ◽  
Health Monitoring ◽  
Quality Care ◽  
Well Being ◽  
Pregnancy And Postpartum ◽  
Comprehensive Framework ◽  
Specific Health

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 proposed maternal health monitoring systems. However, they are designed for a specific health problem or are limited to questionnaires and short-term data collection methods. Moreover, the requirements and challenges have not been evaluated in long-term studies. Maternal health necessitates a comprehensive framework enabling continuous monitoring of pregnant women. In this paper, we present an Internet-of-Things (IoT)-based system to provide ubiquitous maternal health monitoring during pregnancy and postpartum. The system consists of various data collectors to track the mother’s condition, including stress, sleep, and physical activity. We carried out the full system implementation and conducted a real human subject study on pregnant women in Southwestern Finland. We then evaluated the system’s feasibility, energy efficiency, and data reliability. Our results show that the implemented system is feasible in terms of system usage during nine months. We also indicate the smartwatch, used in our study, has acceptable energy efficiency in long-term monitoring and is able to collect reliable photoplethysmography data. Finally, we discuss the integration of the presented system with the current healthcare system.

scholarly journals Blockchain Reference System Architecture Description for the ISA95 Compliant Traditional and Smart Manufacturing Systems

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6456 ◽  
Author(s):  
Erkan Yalcinkaya ◽  
Antonio Maffei ◽  
Mauro Onori
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Research Effort ◽  
Smart Manufacturing ◽  
Reference Architecture ◽  
Systematic Assessment ◽  
Blockchain Technology ◽  
Design Requirements ◽  
Manufacturing Technologies ◽  
Smart Manufacturing Systems

The next-generation technologies enabled by the industry 4.0 revolution put immense pressure on traditional ISA95 compliant manufacturing systems to evolve into smart manufacturing systems. Unfortunately, the transformation of old to new manufacturing technologies is a slow process. Therefore, the manufacturing industry is currently in a situation that the legacy and modern manufacturing systems share the same factory environment. This heterogeneous ecosystem leads to challenges in systems scalability, interoperability, information security, and data quality domains. Our former research effort concluded that blockchain technology has promising features to address these challenges. Moreover, our systematic assessment revealed that most of the ISA95 enterprise functions are suitable for applying blockchain technology. However, no blockchain reference architecture explicitly focuses on the ISA95 compliant traditional and smart manufacturing systems available in the literature. This research aims to fill the gap by first methodically specifying the design requirements and then meticulously elaborating on how the reference architecture components fulfill the design requirements.

scholarly journals An Hybrid Approach for Prediction Based Health Monitoring in Pregnant Women

2016 ◽  
Vol 24 ◽  
pp. 1635-1642 ◽  
Author(s):  
B.N. Lakshmi ◽  
T.S. Indumathi ◽  
Nandini Ravi
Keyword(s):  
Pregnant Women ◽  
Health Monitoring ◽  
Hybrid Approach

scholarly journals Description The Activities of Recording and Reporting Maternal Health Monitoring in PWS-KIA Based on Surveillance Attributes

2014 ◽  
Vol 2 (1) ◽  
pp. 34
Author(s):  
Ika Arma Rani ◽  
Arief Hargono
Keyword(s):  
Maternal Health ◽  
Pregnant Women ◽  
Health Monitoring ◽  
Age Group ◽  
Quality Of Data ◽  
Maternal Deaths ◽  
Low Sensitivity ◽  
Alternative Solutions

ABSTRACTMaternal Mortality Rate (MMR) in East Java Province tends to increase every year. In fact, Jember has the highest number of maternal deaths during the period 2009-2011, and placed in 2nd position during 2012. Puskesmas Kaliwates for 3 consecutive years has the highest number of maternal deaths in the Jember. This research aimed to to describe the activities of recording and reporting the maternal health monitoring in PWS KIA system at Puskesmas Kaliwates, Jember regency, in 2012 by using attributes surveillance.The Research design is descriptive. Assessment in attributes of maternal health monitoring on PWS KIA system at Puskesmas Kaliwates in 2012 showed that the system is quite complicated, lack of flexibility, low quality of data, high acceptability, low sensitivity, low NPP, low representativeness, uncertain timelines, and low stability of data.The alternative solutions given are familiarizing midwife to analyze and compose a follow-up planning, improving the quality of the completeness and data’s accuracy, standardizing the entire form on KIA PWS systems to avoid duplication and increase forms simplicity,completing PWS KIA guidelines in Puskesmas, making guidelines on how to fill the form, taking records on register cohort of mother by dividing the sheet into 12 sections by month for pregnant women by gestational age group to facilitate the monitoring of pregnant women and childbirth, developing other surveillance system, forming KIA surveillance team, improving attendance format, and using a computerized system.Keywords: Monitoring maternal health, PWS KIA, Attributes surveillance.

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