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Medical time series (MedTS) data, such as Electroencephalography (EEG) and Electrocardiography (ECG), play a crucial role in healthcare, such as diagnosing brain and heart diseases.
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Index of alpha/theta ratio of the electroencephalogram: a new marker for alzheimer’s disease
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Index of theta/alpha ratio of the quantitative electroencephalogram in alzheimer’s disease: a case-control study
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Selcan Kaplan Berkaya, Alper Kursat Uysal, Efnan Sora Gunal, Semih Ergin, Serkan Gunal, and M Bilginer Gulmezoglu · 2018
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Reformer: The efficient transformer
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Cross-subject statistical shift estimation for generalized electroencephalography-based mental workload assessment
Isabela Albuquerque, João Monteiro, Olivier Rosanne, Abhishek Tiwari, Jean-François Gagnon, and Tiago H Falk · 2019
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Performance of a convolutional neural network derived from an ecg database in recognizing myocardial infarction
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Ensemble methods and lstm outperformed other eight machine learning classifiers in an eeg-based bci experiment
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Interface for human machine interaction for assistant devices: A review
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Joseph Y Cheng, Hanlin Goh, Kaan Dogrusoz, Oncel Tuzel, and Erdrin Azemi · 2020
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Ptb-xl, a large publicly available electrocardiography dataset
Patrick Wagner, Nils Strodthoff, Ralf-Dieter Bousseljot, Dieter Kreiseler, Fatima I Lunze, Wojciech Samek, and Tobias Schaeffter · 2020
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Deep learning in ecg diagnosis: A review
Xinwen Liu, Huan Wang, Zongjin Li, and Lang Qin · 2021
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Machine learning algorithms and statistical approaches for alzheimer’s disease analysis based on resting-state eeg recordings: A systematic review
Katerina D Tzimourta, Vasileios Christou, Alexandros T Tzallas, Nikolaos Giannakeas, Loukas G Astrakas, Pantelis Angelidis, Dimitrios Tsalikakis, and Markos G Tsipouras · 2021
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Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting
Shizhan Liu, Hang Yu, Cong Liao, Jianguo Li, Weiyao Lin, Alex X Liu, and Schahram Dustdar · 2021
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Anomaly transformer: Time series anomaly detection with association discrepancy
Jiehui Xu, Haixu Wu, Jianmin Wang, and Mingsheng Long · 2021
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Haixu Wu, Jiehui Xu, Jianmin Wang, and Mingsheng Long · 2021
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Informer: Beyond efficient transformer for long sequence time-series forecasting
Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, and Wancai Zhang · 2021
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Self-supervised graph neural networks for improved electroencephalographic seizure analysis
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Hierarchical deep learning with generative adversarial network for automatic cardiac diagnosis from ecg signals
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Machine learning for ecg diagnosis and risk stratification of occlusion myocardial infarction
Salah S Al-Zaiti, Christian Martin-Gill, Jessica K Zègre-Hemsey, Zeineb Bouzid, Ziad Faramand, Mohammad O Alrawashdeh, Richard E Gregg, Stephanie Helman, Nathan T Riek, Karina Kraevsky-Phillips, et al · 2023
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Adaptive gated graph convolutional network for explainable diagnosis of alzheimer’s disease using eeg data
Dominik Klepl, Fei He, Min Wu, Daniel J Blackburn, and Ptolemaios Sarrigiannis · 2023
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Dice-net: a novel convolution-transformer architecture for alzheimer detection in eeg signals
Andreas Miltiadous, Emmanouil Gionanidis, Katerina D Tzimourta, Nikolaos Giannakeas, and Alexandros T Tzallas · 2023
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Card: Channel aligned robust blend transformer for time series forecasting
Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, and Rong Jin · 2023
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Spatial–temporal graph convolutional network for alzheimer classification based on brain functional connectivity imaging of electroencephalogram
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Manydg: Many-domain generalization for healthcare applications
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A dataset of scalp eeg recordings of alzheimer’s disease, frontotemporal dementia and healthy subjects from routine eeg
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