ANALYSIS OF ECG SIGNALS PROCESSING FOR SMART MEDICAL TECHNOLOGIES

Makhmudjanov Sarvar  Ulug'bekovich; Makhkamov is the son of Farkhod  Aloviddin; Abdukarimov is the son of Abdusamad  Abdurasul

doi:10.17605/OSF.IO/WH53J

Authors

Makhmudjanov Sarvar Ulug'bekovich Muhammad al-Khorazmi TUIT Department of Artificial Intelligence, Center for Scientific Research and Technology Transfer. Head of Technology Transfer, Incubation and Acceleration Department
Makhkamov is the son of Farkhod Aloviddin Muhammed al-Khorazmi is a 2nd year Master's student in the field of Internet of Things (IoT) based on the Department of Artificial Intelligence, Faculty of Computer Engineering, TUIT
Abdukarimov is the son of Abdusamad Abdurasul Muhammed al-Khorazmi is a 2nd year Master's student in the field of Internet of Things (IoT) based on the Department of Artificial Intelligence, Faculty of Computer Engineering, TUIT

DOI:

https://doi.org/10.17605/OSF.IO/WH53J

Keywords:

Signal processing, Health, Medical technology, Signal, ECG interference

Abstract

The human body is constantly producing signals or information that have valuable health information. These signals must be taken from the body and processed to diagnose the disease. Using this information, blood pressure, hemoglobin level in the blood, brain activity, heart activity, etc. can be measured invasively and non-invasively. The signal received from the human body contains noise and it has low amplitude data that cannot be directly used for diagnostic purposes. To be useful, the signal must be filtered to remove noise and amplified to obtain accurate information. Signal processing plays a major role in medical technology in the diagnosis and treatment of disease. In this review, the application of signal processing, particularly in ECG medical technology, is considered. Methods and algorithms for eliminating ECG noise are briefly discussed. Improvements in these technologies to improve human health are also discussed.

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