Ambulatory Monitoring of Maternal and Fetal using Deep Convolution Generative Adversarial Network for Smart Health Care IoT System

Srinivasan, Venkatasubramanian

doi:10.14569/ijacsa.2022.0130126

Cited by 13 publications

(10 citation statements)

References 31 publications

(33 reference statements)

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“…SHMTs such as smartwatches, smart rings, and fitness trackers, especially when integrated within an Internet of Things ecosystem [29,30], can offer a practical solution [31][32][33]. These devices enable parents to independently measure the vital signs of the pregnant person and, in some cases, the fetus at home.…”

Section: Smart Health Monitoring Technologies To Address These Uncert...mentioning

confidence: 99%

Mitigating Health-Related Uncertainties During Pregnancy: The Role of Smart Health Monitoring Technologies

Tretter

2024

J Med Internet Res

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Pregnancy is a time filled with uncertainties, which can be challenging and lead to fear or anxiety for expectant parents. Health monitoring technologies that allow monitoring of the vital signs of both the mother and fetus offer a way to address health-related uncertainties. But are smart health monitoring technologies (SHMTs) actually an effective means to reduce uncertainties during pregnancy, or do they have the opposite effect? Using conceptual reasoning and phenomenological approaches grounded in existing literature, this Viewpoint explores the effects of SHMTs on health-related uncertainties during pregnancy. The argument posits that while SHMTs can alleviate some health-related uncertainties, they may also create new ones. This is particularly the case when the abundance of vital data overwhelms pregnant persons, leads to false-positive diagnoses, or raises concerns about the accuracy and analysis of data. Consequently, it is concluded that the use of SHMTs is not a cure-all for overcoming health-related uncertainties during pregnancy. Since the use of such monitoring technologies can introduce new uncertainties, it is important to carefully consider where and for what purpose they are used, use them sparingly, and promote a pragmatic approach to uncertainties.Using conceptual reasoning and phenomenological approaches grounded in existing literature, the effects of SHMTs on health-related uncertainties during pregnancy are explored. The argument posits that while SHMTs can alleviate some health-related uncertainties, they may also create new ones. This is particularly the case when the abundance of vital data overwhelms pregnant persons, leads to false-positive diagnoses, or raises concerns about the accuracy and analysis of data. Consequently, it is concluded that the use of SHMTs is not a cure-all for overcoming health-related uncertainties during pregnancy. Since the use of such monitoring technologies can introduce new uncertainties, it is important to carefully consider where and for what purpose they are used, use them sparingly, and promote a pragmatic approach to uncertainties.

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Section: Smart Health Monitoring Technologies To Address These Uncert...mentioning

confidence: 99%

Mitigating Health-Related Uncertainties During Pregnancy: The Role of Smart Health Monitoring Technologies

Tretter

2024

J Med Internet Res

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“…Venkatasubramanian [71] developed an automated system that would allow medical professionals to use IoT to forecast and control the monitoring of Maternal and Fetal Health (MFH). Using IoT sensors, data-based feature extraction, and an intelligent system based on the Deep Convolutional Generative Adversarial Network (DCGAN) classifier, this research offers a method to monitor high-risk MHF.…”

Section: Anudeep Et Al [78]mentioning

confidence: 99%

Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review

Hossain,

Kashem,

Islam

et al. 2023

Sensors

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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.

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“…The sensor was fixed on the area of the pregnant woman's abdomen where the fetal movement was most strongly perceived using a fetal monitoring belt during the fetal movement data sampling (22)(23)(24), and the sensor would collect the change of acceleration value as the fetus moved, and then transmit the collected sensor acceleration value to the main controller through the IIC communication interface. Before beginning the test, the pregnant woman recalls and locates the area in her abdomen with the strongest perception of fetal movement, and the host device is placed directly above the area and secured with the belt so that the sensors on both sides of the device can collect the important raw signals, as shown in Figure 6.…”

Section: Test Solutionsmentioning

confidence: 99%

A wearable fetal movement detection system for pregnant women

Qin¹,

Xu²,

Liang³

et al. 2023

Front. Med.

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A wearable device-based fetal movement detection system for pregnant women is proposed to resolve the problems of low accuracy of fetal movement detection by fetal heart monitor, difficulties of fetal movement monitoring by pregnant women in person, and inability to monitor for long periods of time by ultrasonic Doppler imaging device. The overall software design flow of the system is proposed after determining the overall structure of the system based on symmetric sensor. The application circuit of the three-axis acceleration sensor MC3672 and its supporting sensor data collection program are designed, and the application circuit of the main control chip NRF52840 with Cortex-M4 core is analyzed. The function of data collection and algorithm recognition result transfer to a smartphone is realized through the fetal movement recognition and algorithm design and Bluetooth communication design. Finally, the system test scheme is introduced, which involves performing functional tests on four healthy pregnant volunteers and analyzing the results. The experimental results show that the average recognition rate and correct rate of this system to recognize fetal movement is 89.74% when using the real fetal movement actively perceived by pregnant women as the standard, achieving a domestic and wearable design of fetal movement monitoring device for pregnant women that can be used to analyze and predict the fetal health condition.

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Ambulatory Monitoring of Maternal and Fetal using Deep Convolution Generative Adversarial Network for Smart Health Care IoT System

Cited by 13 publications

References 31 publications

Mitigating Health-Related Uncertainties During Pregnancy: The Role of Smart Health Monitoring Technologies

Mitigating Health-Related Uncertainties During Pregnancy: The Role of Smart Health Monitoring Technologies

Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review

A wearable fetal movement detection system for pregnant women

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