D-ECG: a dynamic framework for cardiac arrhythmia detection from IoT-based ECGs
Cardiac arrhythmia has been identified as a type of cardiovascular diseases (CVDs) that
causes approximately 12\% 12% of all deaths globally. The current progress on arrhythmia …
causes approximately 12\% 12% of all deaths globally. The current progress on arrhythmia …
A survey of algorithms for feature extraction and feature classification methods
P Lamba, K Rawal - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Recording of Electrocardiogram (ECG) signal is a non-invasive method for examining the
electrical actions of the heart. The characterization of ECG beat is an important step in …
electrical actions of the heart. The characterization of ECG beat is an important step in …
[PDF][PDF] International Journal of Advanced Trends in Computer Science and Engineering
AM Alqudah, H Alquraan, IA Qasmieh, A Alqudah… - International …, 2019 - arxiv.org
Deep Learning is the newest and the current trend of the machine learning field that paid a
lot of the researchers' attention in the recent few years. As a proven powerful machine …
lot of the researchers' attention in the recent few years. As a proven powerful machine …
Automated heart arrhythmia detection from electrocardiographic data
J He - 2020 - vuir.vu.edu.au
Heart arrhythmia is a severe heart problem, which threatens people's lives by pre-venting
their hearts from pumping enough blood into vital organs. Arrhythmia has been a major …
their hearts from pumping enough blood into vital organs. Arrhythmia has been a major …
Arrhythmia detection and classification by neural network using ecg features
Nearly 17 million people die due to cardiovascular diseases as per world health
organization. So it is important to understand the activity of the heart. ECG is a waveform …
organization. So it is important to understand the activity of the heart. ECG is a waveform …
Machine learning-based rapid prediction of sudden cardiac death (SCD) using precise statistical features of heart rate variability for single lead ECG signal
P Banerjee - Green computing and predictive analytics for …, 2020 - taylorfrancis.com
Sudden cardiac death (SCD) causes unexpected death due to an abnormality of the heart
rhythm which is also followed by an electrocardiogram (ECG). Sudden cardiac death is …
rhythm which is also followed by an electrocardiogram (ECG). Sudden cardiac death is …
[PDF][PDF] 以機器學習演算法偵測致命性心律不整
洪任諭 - 2016 - tdr.lib.ntu.edu.tw
突發性院外心跳停止是引發成人死亡的首要原因之一, 經常由心室顫動(VF) 造成.
即時偵測這些致命性的心律不整, 並且盡早以自動體外電擊器(AED) 施予去顫, 是治療關鍵 …
即時偵測這些致命性的心律不整, 並且盡早以自動體外電擊器(AED) 施予去顫, 是治療關鍵 …
Detection of Cardiac Arrhythmia using Spectral features
A Dasgupta, S Ghosh - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
Due to rapid advancements in technology, early diagnosis of diseases have facilitated in
tremendous growth in the medical sector. One of the most crucial conditions that demands …
tremendous growth in the medical sector. One of the most crucial conditions that demands …
[引用][C] Turnitin-Offline-First Sleep Assessment (OFFSA): Internet of Things Polysomnography Sleep Assessment Framework for Sleep Monitoring in Rural Environment
A Novi - Universitas Nasional