0% Complete
صفحه اصلی
/
سی و یکمین کنفرانس بین المللی مهندسی برق
An improved ECG segmentation method based on adaptive Hermite functions
نویسندگان :
Abazar Arabameri
1
Sajad Haghzad Klidbary
2
1- دانشگاه زنجان
2- دانشگاه زنجان
کلمات کلیدی :
ECG segmentation،ECG delineation،Hermite functions،Biomedical signal representation
چکیده :
Electrocardiograms (ECGs), which are recordings of the electrical activity of the heart with electrodes placed on the body, have many clinical applications. Each phase of the heart's mechanical function is represented by one of the P, QRS, and T waves in the ECG. The change in the morphological characteristics of these waves compared to the normal state can be used to diagnose cardiac functional abnormalities. Therefore, developing algorithms that can automatically extract these waves from the ECG signal with high accuracy is of high diagnostic importance. In this paper, an adaptive method is presented to estimate the shape of each heartbeat individually. The proposed algorithm is based on the improvement of previous studies. It tries to get a more accurate estimate of ECG waves by including the ST segment model in the ECG signal model. Simulation results on experimental data show that the proposed method outperforms previous similar algorithms.
لیست مقالات
لیست مقالات بایگانی شده
Family of Soft-Switched Single-Switch Switched-Resonator Converters with Low Component Count
Maryam Hajilou - Siamak Khalili - Hosein Farzanehfard
A 23.4-31.9 GHz Tunable RF-MEMS Impedance Matching Network for 5G Power Amplifier
Fazel Ziraksaz - Alireza Hassanzadeh
ناحیه بندی تصاویر سار به کمک ویژگی های بافت استخراج شده از میدان تصادفی مارکوف گاوسی در سطح ناحیه
نرگس شکوهی - محمد صادق هلفروش - ریحانه غفاری - حبیب اله دانیالی
A New Physical Philosophy to Model and Interpret Partial Discharge Phenomenon
Arman Vasigh Zadeh Ansari - Mahdi Vakilian
Development of Reflectarray Antennas With a Deflected Beam: An Approach Based on Artificial Neural Networks
Mahdieh Esmaeiliporzani - Zahra Atlasbaf
Hand Movment Decoding from EEG Signals Using Kalman Filter with Parameters Estimated via Neural Networks and Least Squares Method
Pegah Khoshkavandi - Mohammad B Shamsollahi - Ali Motie Nasrabadi
Medial Residual Encoder Layers for Classification of Brain Tumors in Magnetic Resonance Images
Zahra Sobhaninia - Nader Karimi - Pejman Khadivi - Shadrokh Samavi
برنامه ریزی احتمالاتی بهینه فیلترهای پسیو در حضور خودروهای برقی متصل به شبکه با قابلیت جبرانسازی هارمونیک در شبکههای توزیع
پریسا انجم شعاع - سعید اسماعیلی
Modeling, estimation, and model predictive control for Covid-19 pandemic with finite security duration vaccine
Abolfazl Delavar - Reza Rahimi Baghbadorani
Eligibility Trace Algorithm for Fault Tolerant Control of Diabetic Blood Glucose Regulation Systems by Time Window-based
Amin Noori - Elnaz Kalhor
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.6.0
