Automated uterine contractions pattern detection framework to monitor pregnant women with a high risk of premature labour

Allahem, Hisham; Sampalli, Srinivas

doi:10.1016/j.imu.2020.100404

Cited by 12 publications

(6 citation statements)

References 47 publications

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“…Fase ini terjadi kontraksi yang merupakan indikator dari adanya kemajuan persalinan (Pourshirazi et al, 2020). Kontraksi ini dikenal dengan yang dirasakan ibu bersalin sangat berpengaruh pada rasa nyeri yang dirasakannya karena kontraksi uteruslah yang menyebabkan penipisan, dilatasi cerviks, dan mendorong janin keluar melalui jalan lahir sehingga menimbulkan sensasi nyeri yang dirasakan ibu (Allahem & Sampalli, 2020;Fitriana & Antarsih, 2019). Kontraksi rahim akan menimbulkan rasa sakit pada pinggang, daerah perut dan menjalar ke arah lain.…”

Section: Pembahasanunclassified

Efektivitas Kompres Hangat terhadap Penurunan Intensitas Nyeri Persalinan Kala I Fase Aktif

Fitri

Umarianti

Wijayanti

2023

PSKM

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Persalinan normal kala I fase aktif ditandai dengan terdapatnya kontraksi uterus yang menimbulkan rasa nyeri. Nyeri persalinan bisa menimbulkan perubahan fisiologi tubuh, seperti peningkatan tekanan darah, denyut jantung, dan laju pernafasan. Apabila tidak segera ditangani keadaan ini akan meningkatkan rasa khawatir, tegang, takut dan stres terutama pada ibu primigravida. Salah satu terapi non-farmakologi agar nyeri saat persalinan berkurang adalah dengan cara kompres hangat. Tujuan: untuk mengetahui efektivitas kompres hangat terhadap penurunan intensitas nyeri persalinan kala 1 fase aktif. Metode: Penelitian kuantitatif quasi experimental design. Penelitian dilakukan di PMB Mugi Lestari Miri dengan jumlah responden 32 ibu bersalin kala 1 fase aktif yang diberikan pre-test dan post-test dengan pengukur skala nyeri NRS (Numerical Rating Scale). 16 kelompok eksperimen diberikan intervensi berupa kompres hangat selama 20 menit. 16 kelompok kontrol diberikan relaksasi selama 20 menit. Analisis data yang dilakukan dengan uji T-test, yaitu uji Paired Sample T-test dan uji Independent Sample T-test. Hasil: pada kelompok eksperimen terjadi penurunan rata-rata intensitas nyeri sebanyak 2.062, sedangkan pada kelompok kontrol terjadi penurunan rata-rata intensitas nyeri sebanyak 1.188. Kesimpulan: uji hipotesis nilai signifikasi sebelum intervensi pada kelompok eksperimen dan kontrol sebesar 0,004 (< 0,050), serta nilai signifikansi sesudah intervensi pada kelompok eksperimen dan kontrol sebesar 0,000 (< 0,050). Hipotesis penelitiannya (Ha) diterima bahwa kompres hangat efektif untuk menurunkan intensitas nyeri persalinan kala 1 fase aktif.

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Section: Pembahasanunclassified

Efektivitas Kompres Hangat terhadap Penurunan Intensitas Nyeri Persalinan Kala I Fase Aktif

Fitri

Umarianti

Wijayanti

2023

PSKM

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“…a. Foetal Heart Rate (FHR) and Maternal Heart Rate (MHR) [18], [27], [28]. b. Uterus contraction [29]. c. The protein level in urine and preeclampsia [30], [31].…”

Section: Electrocardiogrammentioning

confidence: 99%

Transition to Value-Based Care IoT Wearable Devices in Maternity Healthcare for Low-Resource Countries

Elei,

Ikerionwu,

Erike

et al. 2023

IJSRCSE

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Wearable devices are used in maternity to foster remote medication and monitoring. Monitoring the mother and child's well-being has its application with IoT devices. Without a doubt, proper pregnancy to childbirth monitoring utilizing wearable sensors contributes significantly to improving health, and decreasing mortality among mothers and children respectively. The research aims to explore how the implementation of IoT wearable devices in maternity healthcare can facilitate the transition to a value-based care model in low-resource countries. A quantitative approach to information gathering through the use of questionnaires was used to elicit information from participants. The target population was limited to women registered for antenatal visits with some hospitals located in the Owerri municipal area of Imo State in Nigeria. Results obtained through the survey sample show 60% of the women exhibit non-compliance to medical antenatal visit. 40% of the women were recorded to be aware of the use of wearables, with the rest ignorant of the use of ubiquitous wearable devices. However, 85 % of the women were found to be involved in economic activity that might not give them time for routine check. Also, it was found that women experience barriers in switching to Value-Based Care in the study area. The study therefore recommends that government subsidy and proper sensitization for pregnant mothers will enhance the acceptability and use of this technology to monitor health of women during pregnancy to ensure adherence to medication and prompt notification to visit the healthcare center whenever the need arises.

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“…A safe and reliable monitoring framework at less costeffective is developed by Allah et al, [24] to make the home more comfortable and mitigate the effects of preterm labor in pregnant women. Non-invasive technology is used by the system to monitor EHG defects using wireless body sensors and smartphones.…”

Section: Related Workmentioning

confidence: 99%

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

Srinivasan¹

2022

IJACSA

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With the increase in the number of high-risk pregnancies, it is important to monitor the health of the fetus during pregnancy. Major advances in the field of study have led to the development of intelligent automation systems that enable clinicians to predict and determine the monitoring of Maternal and Fetal Health (MFH) with the aid of the Internet of Things (IoT). This paper provides a solution for monitoring high-risk MHF based on IoT sensors, data analysis-based feature extraction, and an intelligent system based on the Deep Convolutional Generative Adversarial Network (DCGAN) classifier. Various clinical indicators such as heart rate of MF, oxygen saturation, blood pressure, and uterine tonus of maternal are monitored continuously. Many data sources produce large amounts of data in different formats and ratios. The smart health analytics system proposes to extract several features and measure linear and non-linear dimensions. Finally, a DCGAN has been proposed as a predictive mechanism for the simultaneous classification of MFH status by considering more than four possible outcomes. The results showed that the proposed system for mobile monitoring between MFH is a practical solution based on the IoT.

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Automated uterine contractions pattern detection framework to monitor pregnant women with a high risk of premature labour

Cited by 12 publications

References 47 publications

Efektivitas Kompres Hangat terhadap Penurunan Intensitas Nyeri Persalinan Kala I Fase Aktif

Efektivitas Kompres Hangat terhadap Penurunan Intensitas Nyeri Persalinan Kala I Fase Aktif

Transition to Value-Based Care IoT Wearable Devices in Maternity Healthcare for Low-Resource Countries

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

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