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The electrocardiogram (ECG) is a dependable instrument for assessing the function of the cardiovascular system. There has recently been much emphasis on precisely classifying ECGs. While ECG situations have numerous similarities, little…

Signal Processing · Electrical Eng. & Systems 2023-11-09 Kamyar Zeinalipour , Marco Gori

Emotions are crucial in human life, influencing perceptions, relationships, behaviour, and choices. Emotion recognition using Electroencephalography (EEG) in the Brain-Computer Interface (BCI) domain presents significant challenges,…

Human-Computer Interaction · Computer Science 2025-12-12 Gourav Siddhad , Masakazu Iwamura , Partha Pratim Roy

Electroencephalography (EEG) plays a significant role in the Brain Computer Interface (BCI) domain, due to its non-invasive nature, low cost, and ease of use, making it a highly desirable option for widespread adoption by the general…

Signal Processing · Electrical Eng. & Systems 2023-03-13 Giulio Tosato , Cesare M. Dalbagno , Francesco Fumagalli

Traditional authentication systems use alphanumeric or graphical passwords, or token-based techniques that require "something you know and something you have". The disadvantages of these systems include the risks of forgetfulness, loss, and…

Cryptography and Security · Computer Science 2019-09-25 Ebrahim Al Alkeem , Song-Kyoo Kim , Chan Yeob Yeun , M. Jamal Zemerly , Kin Poon , Paul D. Yoo

In echocardiography (echo), an electrocardiogram (ECG) is conventionally used to temporally align different cardiac views for assessing critical measurements. However, in emergencies or point-of-care situations, acquiring an ECG is often…

Computer Vision and Pattern Recognition · Computer Science 2021-02-05 Fatemeh Taheri Dezaki , Christina Luong , Tom Ginsberg , Robert Rohling , Ken Gin , Purang Abolmaesumi , Teresa Tsang

Cardiac auscultation is an essential clinical skill, requiring excellent hearing to distinguish subtle differences in timing and pitch of heart sounds. However, diagnosing solely from these sounds is often challenging due to interference…

Atrial fibrillation (AF) is the most prevalent sustained cardiac arrhythmia, and its clinical assessment requires accurate characterization of atrial electrical activity. Noninvasive electrocardiographic imaging (ECGI) combined with deep…

Electroencephalography (EEG) during sleep is used by clinicians to evaluate various neurological disorders. In sleep medicine, it is relevant to detect macro-events (> 10s) such as sleep stages, and micro-events (<2s) such as spindles and…

Signal Processing · Electrical Eng. & Systems 2018-07-17 Stanislas Chambon , Valentin Thorey , Pierrick J. Arnal , Emmanuel Mignot , Alexandre Gramfort

Early and optimal identification of cardiac anomalies, especially Myocardial infarction (MCI) can aid the individual in obtaining prompt medical attention to mitigate the severity. Electrocardiogram (ECG) is a simple non-invasive…

Signal Processing · Electrical Eng. & Systems 2025-07-08 Srikireddy Dhanunjay Reddy , Pujayita Deb , Tharun Kumar Reddy Bollu

Nowadays, the electrocardiogram (ECG) is still the most widely used signal for the diagnosis of cardiac pathologies. However, this recording is often disturbed by the powerline interference (PLI), its removal being mandatory to avoid…

Signal Processing · Electrical Eng. & Systems 2024-01-22 Juan Rodenas , Manuel Garcia , Jose J. Rieta , Raul Alcaraz

The electrocardiogram (ECG) signal is one of the most vital signals that can be used to investigate the performance of heart. Based on the ECG graph, we can identify different disorders and diseases. Therefore, monitoring this signal is of…

Signal Processing · Electrical Eng. & Systems 2023-02-22 Soheil Khooyooz , Mohammad Ali Ahmadi-Pajouh , Kamyab Azizi

Surface electromyography provides a practical way to infer human movement intention from wearable muscle recordings, but models trained under a single acquisition setting often lose reliability when the user, session, electrode layout, or…

Machine Learning · Computer Science 2026-05-26 Zhenghao Huang , Huilin Yao , Kaikai Wang

Cardiovascular disease has become one of the most significant threats endangering human life and health. Recently, Electrocardiogram (ECG) monitoring has been transformed into remote cardiac monitoring by Holter surveillance. However, the…

Signal Processing · Electrical Eng. & Systems 2022-01-26 Peng Wang , Zihuai Lin , Xucun Yan , Zijiao Chen , Ming Ding , Yang Song , Lu Meng

Electrocardiogram (ECG) is one of the non-invasive and low-risk methods to monitor the condition of the human heart. Any abnormal pattern(s) in the ECG signal is an indicative measure of malfunctioning of the heart, termed as arrhythmia.…

Signal Processing · Electrical Eng. & Systems 2018-10-10 Sai Manoj Pudukotai Dinakarrao , Matthias Wess

The electrocardiogram (ECG) is an essential tool for diagnosing heart disease, with computer-aided systems improving diagnostic accuracy and reducing healthcare costs. Despite advancements, existing systems often miss rare cardiac anomalies…

Computer Vision and Pattern Recognition · Computer Science 2024-04-09 Aofan Jiang , Chaoqin Huang , Qing Cao , Yuchen Xu , Zi Zeng , Kang Chen , Ya Zhang , Yanfeng Wang

Electrocardiogram (ECG) is the electrical measurement of cardiac activity, whereas Photoplethysmogram (PPG) is the optical measurement of volumetric changes in blood circulation. While both signals are used for heart rate monitoring, from a…

Machine Learning · Computer Science 2020-12-16 Pritam Sarkar , Ali Etemad

Early recognition of abnormal rhythms in ECG signals is crucial for monitoring and diagnosing patients' cardiac conditions, increasing the success rate of the treatment. Classifying abnormal rhythms into exact categories is very challenging…

Machine Learning · Computer Science 2019-12-18 Jing Zhang , Jing Tian , Yang Cao , Yuxiang Yang , Xiaobin Xu

An arrhythmia, also known as a dysrhythmia, refers to an irregular heartbeat. There are various types of arrhythmias that can originate from different areas of the heart, resulting in either a rapid, slow, or irregular heartbeat. An…

Signal Processing · Electrical Eng. & Systems 2024-01-12 Taymaz Akan , Sait Alp , Mohammad Alfrad Nobel Bhuiyan

Cardiovascular disease (CVD) is a leading cause of mortality worldwide. Electrocardiograms (ECGs) are the most widely used non-invasive tool for cardiac assessment, yet large, well-annotated ECG corpora are scarce due to cost, privacy, and…

Machine Learning · Computer Science 2025-11-14 Xiaoda Wang , Kaiqiao Han , Yuhao Xu , Xiao Luo , Yizhou Sun , Wei Wang , Carl Yang

An electrocardiogram (EKG) is a common, non-invasive test that measures the electrical activity of a patient's heart. EKGs contain useful diagnostic information about patient health that may be absent from other electronic health record…

Machine Learning · Statistics 2018-12-04 Andrew C. Miller , Ziad Obermeyer , David M. Blei , John P. Cunningham , Sendhil Mullainathan