Results 71 to 80 of about 169,837 (295)
Detection of Inferior Myocardial Infarction using Shallow Convolutional Neural Networks
, 2018 Myocardial Infarction is one of the leading causes of death worldwide. This paper presents a Convolutional Neural Network (CNN) architecture which takes raw Electrocardiography (ECG) signal from lead II, III and AVF and differentiates between inferior ...
Reasat, Tahsin, Shahnaz, Celia
core +1 more source
Brugada Syndrome: Presentation and Management of the Atypical Patient in the Emergent Setting [PDF]
, 2020 Introduction: Brugada syndrome is a genetic disorder of the heart’s electrical system that increases a patient’s risk of sudden cardiac death. It is a syndrome most prevalent in Southeast Asians and is found 36 times more commonly in Asians than in ...
Flores, Mario +2 more
core
Advanced Healthcare Materials, EarlyView.Myocardial infarction often leads to pathological remodelling and ventricular dilatation, key features of HFrEF. This study introduces a personalized, 3D‐printed cardiac restraint device (CARD) printed using rationally designed inks displaying the requested printability and mechanical properties.
Nicola Mansour +6 more
wiley +1 more source
Pakistan Journal of Medicine and Dentistry, 2020 Background: A virtuous understanding of Electrocardiogram is an indispensable ability and essential skill required in doctors. This study assessed the understanding of the electrocardiogram and acute management of myocardial infarction among ...
Farah Ahmad +5 more
doaj +1 more source
Biometrics for Emotion Detection (BED): Exploring the combination of Speech and ECG [PDF]
, 2010 The paradigm Biometrics for Emotion Detection (BED) is introduced, which enables unobtrusive emotion recognition, taking into account varying environments.
Broek, Egon L. van den +3 more
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Extracting fetal heart beats from maternal abdominal recordings: Selection of the optimal principal components [PDF]
, 2014 This study presents a systematic comparison of different approaches to the automated selection of the principal components (PC) which optimise the detection of maternal and fetal heart beats from non-invasive maternal abdominal recordings.
Di Maria, Costanzo +4 more
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Advanced Materials, EarlyView.This review provides an overview of triboelectric nanogenerator (TENG)–based biomedical applications by classifying studies into electronic and ionic systems across attachable and implantable platforms. It summarizes key material choices, device structures, and working mechanisms that characterize current TENG‐based research, and outlines six future ...
Kyongtae Choi +12 more
wiley +1 more source
Supervised ECG wave segmentation using convolutional LSTM
ICT Express, 2020 Electrocardiogram (ECG) is the graphical representation of electrical activity of the heart and is used to detect certain structural and functional heart conditions.
Aman Malali +4 more
doaj +1 more source
Novel electrocardiographic criteria for the diagnosis of arrhythmogenic right ventricular cardiomyopathy [PDF]
, 2015 Aims: In order to improve the electrocardiographic (ECG) diagnosis of arrhythmogenic right ventricular cardiomyopathy (ARVC), we evaluated novel quantitative parameters of the QRS complex and the value of bipolar chest leads (CF leads) computed from the ...
Bastiaenen, Rachel +6 more
core +1 more source
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source