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Iot-Enabled Mobile Device for Electrogastrography Signal Processing

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Date

2021

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Volume Title

Publisher

Springer international Publishing Ag

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Organizational Unit
Department of Artificial Intelligence
The main purposes of the department's team are to prepare advanced bachelors and masters in the field of artificial intelligence, to conduct educational methodological and research work. "Artificial intelligence and IOT technologies" and "Embedded systems" laboratories are operating within the department, and it is planned to establish "Robotics" and "Cloud computing" laboratories.

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Abstract

Electrogastrography (EGG) is a powerful instrument that represents and provides high time precision for direct heart activities. After processing the chest skin for the contact process by network electrodes, the conventional method of collecting heart signals involves the presence of electrodes directly connected to the patient's chest using gelatin. One of the most critical activities is tracking the clinical signs of cardiac patients. A real-time EGG signal acquisition and processing device is developed to observe patients in various IoT-based environments is discussed in this article. The EGG signals that are detected are passed to special software. For further protection, it is ensured that the transmission of the EGG signal from the patient without distortion to the doctors should take place. The ambulatory and wearable device for the transmission of real-time EGG signals is discussed in this article in order to monitor patients in various environments. For further analysis, the captured EGG signal is transferred to software and signals are transferred to the doctors for real-time evaluation of the patient.

Description

Makhmudjanov, Sarvar/0000-0002-8642-6808; Singh, Dhananjay/0000-0003-3822-9348; Zaynidinov, Hakimjon/0000-0002-8098-5246; Rajabov, Farkhat/0000-0003-0917-945X

Keywords

Internet of Things, Gastroenterological signal, Healthcare, Filtering, B-spline, Web technologies, Bluetooth, Sensors

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Citation

3

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N/A

Scopus Q

Q3

Source

12th International Conference on Intelligent Human Computer Interaction (IHCI) -- NOV 24-26, 2020 -- Daegu, SOUTH KOREA

Volume

12616

Issue

Start Page

346

End Page

356

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