Yurak kasalliklariga tashxis qo'yish uchun kardiografik ma'lumotlarga ishlov berish

Abstract This bachelor's thesis, entitled "Processing of Cardiographic Data for the Diagnosis of Heart Diseases", was completed in 2023 at Tashkent State Technical University named after Islam Karimov, in the field of Biomedical Engineering. The research focuses on the processing and analysis of electrocardiographic (ECG) signals for applications in cardiovascular disease diagnosis. It examines existing ECG analysis methods and discusses the importance of digital signal processing in identifying diagnostically relevant characteristics of cardiac electrical activity. The practical section presents ECG signal processing approaches implemented in Python using libraries such as NeuroKit2, NumPy, Pandas, and Matplotlib. The work considers signal visualization, ECG filtering, R-peak detection, QRS complex analysis, heartbeat segmentation, and the simulation of noise and signal distortions. The thesis describes the application of these methods to the analysis of cardiographic data, highlighting their potential usefulness and limitations in automated ECG interpretation. The research provides a foundation for further investigations into ECG signal processing, biomedical instrumentation, and the metrological evaluation of electrocardiographic systems. Keywords: Electrocardiography, ECG, Biomedical Engineering, Digital Signal Processing, Python, NeuroKit2, R-Peak Detection, QRS Complex, Cardiovascular Diagnostics. Thesis information Author: Ramazan Abdukadirov University: Tashkent State Technical University named after Islam Karimov Department: Biomedical Engineering Academic degree: Bachelor's degree Year: 2023 Scientific supervisor: Prof. T. M. Magrupov Language of thesis: Uzbek.

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