Pregnant Women Health Monitoring System Using Embedded System

Hema, L. K.; Amalna,; Anil, Athira; Kanya,

doi:10.1088/1757-899x/993/1/012078

Cited by 5 publications

(3 citation statements)

References 4 publications

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“…On the other hand, a unique device was developed by L. K. Hema, Amalna, Athira Anil, and Kanya [12] to measure the heart rate of the fetus during pregnancy. The Fetal digital stethoscope sensor, which is placed on the pregnant woman's abdomen, is the central component of this device.…”

Section: Related Workmentioning

confidence: 99%

IoT based smart emergency response system (SERS) for monitoring vehicle, home and health status

Mohsin,

Muyeed

2024

Preprint

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This paper presents an innovative Internet of Things (IoT)-based smart emergency response system that aims to improve safety and efficiency across vehicles, homes and healthcare settings. The proposed system combines advanced sensors, communication technologies, and intelligent algorithms to provide a comprehensive solution for real-time monitoring and emergency management. The vehicle device is equipped with temperature, gas, flame, GPS, piezo, and accelerometer sensor and the system can detect accidents and hazardous conditions, automatically notifying emergency services and providing precise location data. For home security, it incorporates Flame Sensor, humidity sensor, DHT11, MQ-2 gas sensor, MQ-4 Gas Sensor, and MQ-135 gas sensor, and intrusion detection to ensure immediate alerts and response to potential threats. In healthcare, the proposed health device is equipped with temperature, humidity, stress levels, heart rate, oxygen saturation, and fetal heart rate sensor which can monitor vital signs and detect anomalies, triggering alerts for medical emergencies and facilitating timely intervention. The system utilizes a cloud-based platform to collect, analyze, and disseminate data, enabling seamless coordination between emergency responders such as ambulance for health and accident emergency, fire brigade for fire emergency and affected individuals. We have also developed a MySQL-PHP-Laravel based live dashboard and emergency response system where both the user and relevant stakeholder will have the access which could mitigate the emergency situation in the quickest amount of time without human intervention. By leveraging IoT capabilities, the smart emergency response system offers significant improvements in response times, accuracy, and overall effectiveness of emergency management. This integrated approach not only enhances individual safety but also contributes to broader public safety goals, showcasing the potential of IoT technologies in creating smarter, safer environments. Further development and field testing are anticipated to refine the system's functionality and expand its application scope.

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Section: Related Workmentioning

confidence: 99%

IoT based smart emergency response system (SERS) for monitoring vehicle, home and health status

Mohsin,

Muyeed

2024

Preprint

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“…Monitoring a pregnant woman's health state using instrumental methods with automated questionnaires designed to quantify initial current health state comprise the remote dynamics of a pregnancy health monitoring system. This allows for the early detection of negative trends in a woman's health during pregnancy, as well as the possibilities of pregnancy complications (Ryu et al, 2021;Hema et al, 2020). Pregnant women have been found to likely access mobile apps for health information throughout their pregnancy, claiming that it brought aid in maintaining a healthy lifestyle.…”

Section: Pregnancy Health Monitoring System 211 Pregnancy-related App...mentioning

confidence: 99%

“…Sarhaddi et al (2021) stated that there is a need for maternal health to have a thorough structure or framework that allows pregnant women to be monitored continuously. A pregnancy health monitoring system involves monitoring of the pregnant woman's health state as well as the fetal heart rate (Hema et al 2020). Furthermore, Overdijkink et al (2018) stated that pregnancy applications could be helpful to a healthy lifestyle during pregnancy since it is a critical important learning in the lives of young women.…”

Section: Introductionmentioning

confidence: 99%

Towards the Development of a Usability Evaluation of a Pregnancy Health Monitoring System Using IoT

Proceedings of the International Conference on Industrial Engineering and Operations Management

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Pregnancy health monitoring systems enable women to have access to remote quality care during pregnancy. The integration of wearable devices has had a positive impact on maternal health care monitoring technologies. Maternal health requires a comprehensive structure that permits pregnant women to be closely monitored in a continuous manner. As a result, the necessity to assess its usability grows. In order to identify what features and processes implemented in existing applications aid in overcoming the usability challenges of pregnancy-related apps, related studies involving pregnant health care monitoring systems, pregnancy-related apps, and their usability evaluation were found and examined in this literature review. From the literature reviewed, there are several usability issues that are frequently found in pregnancy health monitoring systems such as the lack of ability to provide better health outcomes and lack of improvement in health monitoring. The analysis showed that these issues stem from the lack of effectiveness and ultimately result in negative impacts on user experience. This was likewise the most prominent usability challenge found in the literature reviewed. Other usability challenges found include the lack of interest in the applications, having too much incomprehensible information, and apps being non-user-friendly. In addition, the study identified that IoT-based process flows are helpful in recording data and maintaining user engagement. With this, the study proposed the development of a pregnant health monitoring system based on IoT-based processes. A usability evaluation was planned for the proposed system to test and assess its usability.

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Multi Parameter Machine Learning-Based Maternal Healthiness Classification System

Ettiyan,

Geetha

2023

Smart Innovation, Systems and Technologies

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Pregnant Women Health Monitoring System Using Embedded System

Cited by 5 publications

References 4 publications

IoT based smart emergency response system (SERS) for monitoring vehicle, home and health status

IoT based smart emergency response system (SERS) for monitoring vehicle, home and health status

Towards the Development of a Usability Evaluation of a Pregnancy Health Monitoring System Using IoT

Multi Parameter Machine Learning-Based Maternal Healthiness Classification System

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