ECG signal analysis using autoregressive modelling with and without baseline wander

V Gupta, NK Saxena, A Kanungo, S Diwania… - International Journal of …, 2024 - Springer
According to the report of Times of India, India is becoming the heart disease capital of the
world. Consequently, its need of time to make more efforts to enhance the research …

Estimation of speed, armature temperature, and resistance in brushed DC machines using a CFNN based on BFGS BP

H Mellah, KE Hemsas, R Taleb… - Turkish Journal of …, 2018 - journals.tubitak.gov.tr
In this paper, a sensorless speed and armature resistance and temperature estimator for
brushed (B) DC machines is proposed, based on a cascade-forward neural network and …

Features selection for arrhythmia diagnosis using Relief-F algorithm and support vector machine

A Elsayyad, M Al-Dhaifallah… - 2017 14th International …, 2017 - ieeexplore.ieee.org
Electrocardiography (ECG) is a standard clinical process to record the electrical activity of
the heart. It is the most available effective method for diagnosing cardiac arrhythmias. The …

[PDF][PDF] Development of alternative diagnostic feature system in the cardiology decision support systems

A Povoroznyuk, A Filatova - Восточно-Европейский журнал …, 2016 - irbis-nbuv.gov.ua
Розроблено систему альтернативних діагностичних ознак на основі методу
морфологічного аналізу біомедичних сигналів з локально зосередженими ознаками з …

[PDF][PDF] Determining effective features to use the EOG sign as a source sign

I Zengin, MR Bozkurt, MK Ucar… - … University Journal of …, 2019 - dergipark.org.tr
In this study, the processing of the Electrooculogram (EOG) signal for human machine
interface (IMA) was performed to facilitate the lives of paralyzed patients. Eye movements …

[PDF][PDF] Application of probabilistic-time graphs for evaluating the effectiveness of the electrocardiological study process

AE Filatova, AI Povoroznyuk, M Fahs - Scientific Journal Applied …, 2020 - academia.edu
Annotation. This work is devoted to the development of a structural model of the patient's
electrocardiological study process based on graph theory, probability theory and the method …

EOG İşaretini Kaynak İşaret Olarak Kullanmak Üzere Etkin Özelliklerin Belirlenmesi

İ Zengin, MR Bozkurt, MK Uçar - Sakarya University Journal of …, 2019 - saucis.sakarya.edu.tr
Bu çalışmada, özellikle felçli hastaların yaşamlarını kolaylaştırmak için Elektrookülogram
(EOG) işaretinin insan makine arabirimi (İMA) için işlenmesi gerçekleştirilmiştir. Göz …

[PDF][PDF] Застосування імовірнісно-часових графів для оцінки ефективності процесу електрокардіологічного дослідження

ГЄ Філатова, АІ Поворознюк, М Факс - Прикладні аспекти …, 2020 - aait.od.ua
Ганна Євгенівна Філатова, Мохамад Факс, Метод автоматичного визначення
електричної осі серця в кардіологічних системах підтримки прийняття рішень …

[PDF][PDF] Mobile Based System for Arrhythmia Disease Detection and Classification

SSAE Moneem, HH Said, AA Saad - academia.edu
Heart Rate Variability (HRV) is a measure of variation in the time interval between
consecutive heart beats. HRV analysis is highly sensitive for risks linked with cardiovascular …

Bi̇yopotansi̇yel İşaretleri̇n İki̇nci̇ Nesi̇l Akim Taşiyicilar İle İşlenmesi̇ ve Yeni̇ bi̇r EKG Devresi̇ Tasarimi

Ş Kitiş - 2019 - search.proquest.com
Bu çalışmada bir EKG cihazı tasarlanmış ve bu cihaz ikinci nesil akım taşıyıcılar ile
gerçekleştirilmiştir. Bu EKG devresinde ikinci nesil akım taşıyıcılar filtre olarak kullanılmıştır …