The Effect of Lost Data on the IoT Platform on the Formation of Fetal Heart Rate Graphs for Remote Diagnostic Purposes

Pribowo, Boy; Pudji, Andjar; Mak’ruf, Muhammad Ridha; Abdullayev, Vugar

doi:10.35882/teknokes.v15i4.489

Cited by 1 publication

(1 citation statement)

References 20 publications

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“…The host controller initializes, sets sensitivity and range, and reads accelerometer data cyclically with a 100 Hz sampling frequency. The accelerometer has three axes, each corresponding to a register group, with high and low 8-bit data registers in sequential addresses [14,15].…”

Section: Acceleration Sensor Data Collection Unitmentioning

confidence: 99%

Enhancing Maternal and Fetal Health: Wearable AI and IOT Innovations

Samanta,

Dutta,

Ray

et al. 2024

Int. J. Res. Publ. Rev.

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The World Health Organization (WHO) is concerned about the risks faced by mothers dur-ing pregnancy and childbirth in India, especially the high rate of emergency postpartum hys-terectomies. In low-and middle-income countries, around 21 million pregnancies occur among adolescents aged 15-19 annually, with half of them unintended, resulting in approximately 12 million births.To address these issues, a groundbreaking solution has been proposeda wearable belt integrated with AI and IoT technologies. This innovative system continuously monitors vital health parameters of expectant mothers, analyzes the data, and transmits it to ThingSpeak, an IOT-based cloud platform. The development includes machine learning models for fetal heart classification and identifying various risks during pregnancy, providing crucial insights into the wellbeing of both mother and child.The proposed system uses sensors like accelerometers and pulse sensors to track the baby's movements and heart rate. This helps overcome accuracy issues of traditional monitors for fetal movement, challenges pregnant women face with in-person monitoring, and limitations in monitoring duration with devices like ultrasonic Doppler imaging. This approach, focusing on the entire pregnancy journey, supports the goal of achieving Sustainable Development Goals (SDGs) for maternal and newborn health.The new technology not only addresses current problems but also lays the foundation for a comprehensive and data-driven strategy to improve the health of both mothers and newborns. This contributes to global efforts for a healthier and more sustainable future.

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Section: Acceleration Sensor Data Collection Unitmentioning

confidence: 99%