A novel health monitoring approach for pregnant women

2015 ◽  
Author(s):  
B.N. Lakshmi ◽  
T.S. Indumathi ◽  
Nandini Ravi
Keyword(s):  
Pregnant Women ◽  
Health Monitoring

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 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.

scholarly journals Prega Care - A Health Monitoring Device for Pregnant Women

2020 ◽  
Vol 13 (2) ◽  
pp. 57-70
Author(s):  
Khushboo Gairola ◽  
◽  
Neha Singh ◽  
Rashmi Pant ◽  
Ashish Bagwari ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Health Monitoring ◽  
Monitoring Device

scholarly journals Smart Health Monitoring System for Pregnant Women

2020 ◽  
Vol 9 (4) ◽  
pp. 923-926
Keyword(s):  
Blood Pressure ◽  
Blood Glucose ◽  
Blood Glucose Level ◽  
Pregnant Women ◽  
Glucose Level ◽  
Health Monitoring ◽  
Rural Areas ◽  
High Speed ◽  
Data Transfer ◽  
Critical Issues

For pregnant ladies, various health parameters like ECG, blood pressure, SPO2 (stamina), respiration rate, blood glucose level, body temperature, etc. need to be monitored regularly and must be in a normal level. If the mother’ health become critical then definitely it will affect the baby. Hence it is recommended by physicians to do routine checkups at primary stages of pregnancy. But in rural areas, due to unavailability of well-equipped hospital facilities and also people don’t have awareness about their health which yields in abnormalities or creates critical issues. The presented paper summarizes, the available system and their strength and weakness and challenges in health monitoring of pregnant women. The proposed system is used to analyze various pregnancy biological factors like heart rate of pregnant women & Fetus, changes in blood pressure, blood glucose level, temperature, and weight. The proposed system will help for the rapid decision making and treatment through the high speed medical data transfer to the physicians over mobile for consulting and remote medical examinations. These values are transferred to database, to upload on server which can be monitored from any corner of the world.

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