research-article

IoT-based healthcare system for real-time maternal stress monitoring

Authors:

Arman Anzanpour,

Amir M. Rahmani,

Pasi LiljebergAuthors Info & Claims

CHASE '18: Proceedings of the 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies

Pages 57 - 62

https://doi.org/10.1145/3278576.3278596

Published: 22 January 2020 Publication History

Abstract

There is a major concern about pregnancy-associated stress and anxiety, which are key risk factors for various pregnancy complications involving the health of mother and fetus [13, 14, 24, 32]. Maternal adaptations to decrease the stress level are important to enable a successful pregnancy although various maternal difficulties and environmental stressors can disrupt these adaptations. Several studies have tackled this subject, managing stress level during pregnancy with different medications and techniques [12, 22]. However, to support the conventional clinical methods, a personalized and automated healthcare system is highly required, providing stress monitoring for not only in-hospital environment but also everyday settings. Fortunately, recent advancements in Internet of Things (IoT) technologies have enabled the deployment of remote health monitoring systems in real-time applications, of which patient's health-associated parameters are continuously collected and analyzed to deliver health services.

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https://doi.org/10.3233/THC-230587
Yaseen IRather R(2024)A Theoretical Exploration of Artificial Intelligence’s Impact on Feto-Maternal Health from Conception to DeliveryInternational Journal of Women's Health10.2147/IJWH.S454127Volume 16(903-915)Online publication date: May-2024
https://doi.org/10.2147/IJWH.S454127
Subha SN.Mohankumar Rao AAyub Khan AM. V IMurugan S(2024)IoT's Role in Personalized Dietary Support for Mental Health using RNN Model2024 Third International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)10.1109/ICEEICT61591.2024.10718428(1-6)Online publication date: 24-Jul-2024
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IoT-based healthcare system for real-time maternal stress monitoring
1. Applied computing
  1. Life and medical sciences

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cover image ACM Conferences

CHASE '18: Proceedings of the 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies

September 2018

139 pages

ISBN:9781450359580

DOI:10.1145/3278576

General Chairs:
Weisong Shi
Wayne State University
,
Anwar Walid
Nokia Bell Labs
,
Program Chairs:
E. Kevin Hall
Yale School of Medicine
,
Fei Wang
Weill Cornell Medicine
,
Gang Zhou
College of William and Mary

Copyright © 2018 ACM.

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Published: 22 January 2020

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CHASE '18: ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies

September 26 - 28, 2018

DC, Washington

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Cited By

Allabun S(2024)A wearable system to track vital signs communicated from the mother to the fetusTechnology and Health Care10.3233/THC-23058732:1(423-439)Online publication date: 5-Jan-2024
https://doi.org/10.3233/THC-230587
Yaseen IRather R(2024)A Theoretical Exploration of Artificial Intelligence’s Impact on Feto-Maternal Health from Conception to DeliveryInternational Journal of Women's Health10.2147/IJWH.S454127Volume 16(903-915)Online publication date: May-2024
https://doi.org/10.2147/IJWH.S454127
Subha SN.Mohankumar Rao AAyub Khan AM. V IMurugan S(2024)IoT's Role in Personalized Dietary Support for Mental Health using RNN Model2024 Third International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)10.1109/ICEEICT61591.2024.10718428(1-6)Online publication date: 24-Jul-2024
https://doi.org/10.1109/ICEEICT61591.2024.10718428
S MBattana HSangeetha MShaik MJawahar M(2024)Analysis of Maternity and Child Health Care System Integrated with IoT and ML2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS)10.1109/ICACCS60874.2024.10717104(1792-1797)Online publication date: 14-Mar-2024
https://doi.org/10.1109/ICACCS60874.2024.10717104
Feli MAzimi ISarhaddi FSharifi-Heris ZNiela-Vilen HLiljeberg PAxelin ARahmani A(2024)Preterm birth risk stratification through longitudinal heart rate and HRV monitoring in daily lifeScientific Reports10.1038/s41598-024-70773-014:1Online publication date: 27-Aug-2024
https://doi.org/10.1038/s41598-024-70773-0
Verma AAgarwal GGupta AKumar VSingh S(2024)An adaptive secure internet of things and cloud based disease classification strategy for smart healthcare industryWireless Networks10.1007/s11276-024-03783-531:1(879-897)Online publication date: 26-Jun-2024
https://doi.org/10.1007/s11276-024-03783-5
Charanya JRenugadevi AVennila A(2023)Solutions for Complications in Pregnant WomenPredicting Pregnancy Complications Through Artificial Intelligence and Machine Learning10.4018/978-1-6684-8974-1.ch017(260-275)Online publication date: 30-Jun-2023
https://doi.org/10.4018/978-1-6684-8974-1.ch017
Hossain MKashem MIslam MSahidullah MMumu SUddin JAray Dde la Torre Diez IAshraf ISamad M(2023)Internet of Things in Pregnancy Care Coordination and Management: A Systematic ReviewSensors10.3390/s2323936723:23(9367)Online publication date: 23-Nov-2023
https://doi.org/10.3390/s23239367
Alim AImtiaz M(2023)Wearable Sensors for the Monitoring of Maternal Health—A Systematic ReviewSensors10.3390/s2305241123:5(2411)Online publication date: 22-Feb-2023
https://doi.org/10.3390/s23052411
Jiang YDing XMa XSun ZGu N(2023)IntimaSea: Exploring Shared Stress Display in Close RelationshipsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581000(1-19)Online publication date: 19-Apr-2023
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