CLASSIFICATION OF BIOELECTRIC SIGNALS AND THEIR CHARACTERISTICS

K.Abdurashidova; D.Ne‘matova; X.Temirova

doi:10.5281/zenodo.7352468

K.Abdurashidova, D.Ne‘matova , X.Temirova

Abstract. Most medical research requires long-term monitoring of the patient's condition, which is associated with the need to use automated systems for recording biomedical signals, processing them to assess functional changes in the body and analyzing large amounts of data to form a strategy for the treatment process. Biosignals are physical manifestations of the physiological processes of a living organism, which can be measured and presented in a form convenient for further processing. Processing of biosignals is carried out in order to highlight informative features for medical diagnostics. This article analyzes the characteristics of bioelectric signals.

Keywords: biometric signals, digital signals, signal processing, electroencephalogram, electrocardiogram, electromyogram, electrooculogram, electroretinogram, electrogastrogram.

References:

1. Yogendra Narain Singx “Rivojlanayotgan biometrika sifatida bioelektrik signallar: muammolar va masalalari” 2012 yil 26 iyul. 2. SA Isroil, JM Irvine, A. Cheng, MD Wiederhold va BK Wiederhold, "Jismoniy shaxslarni aniqlash uchun EKG", Pattern Recognition, 2005 yilyu 3. JM Irvine, SA Israel, W. Todd Scruggs va WJ Worek, "eigenPulse: yurak-qon tomir funktsiyasidan insonning mustahkam identifikatsiyasi", Pattern Recognitionb 2008 yil. 4. ЭШМУРАДОВ Д. Э., МУХАМЕДЖАНОВ А. А. ТЕОРИЯ И ПРАКТИКА СОВРЕМЕННОЙ НАУКИ //ТЕОРИЯ И ПРАКТИКА СОВРЕМЕННОЙ НАУКИ Учредители: ООО" Институт управления и социально-экономического развития". – №. 12. – С. 424-435. 5. John Krumm. Ubiquitous Computing Fundamentals / edited by John Krumm. Microsoft Corporation Redmond, Washington, U.S.A. - 2010: p. 410, ISBN 978-1-4200-9360-5 6. Биомедицинские сигналы и изображения в цифровом здравоохранении: хранение, обработка и анализ : учебное пособие / В.С. Кубланов, А.Ю. Долганов, В.Б. Костоусов [и др.] ; [под общ. ред. В. С. Кубланова] ; Мин-во науки и высш. образования РФ. — Екатеринбург : Изд-во Урал. ун-та, 2020.— 240 с.