Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network | Paper Citation Record

Observation ccd77698-2dca-41c5-a45d-87c2683e4470 · outbound

This paper cites Effects of mental workload and fatigue on the p300, alpha and theta band power during operation of an erp (p300) brain–computer interface,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Effects of mental workload and fatigue on the p300, alpha and theta band power during operation of an erp (p300) brain–computer interface,

Reference 1

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Observation 8ac86e1d-8e17-47f7-ac3a-fd270cda0e4b · outbound

This paper cites Brain computer interfacing: Applications and challenges,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Brain computer interfacing: Applications and challenges,

Reference 2

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Observation 713399cf-5c4d-4f81-bcd1-a3fa432d790d · outbound

This paper cites Brain–computer interfaces in neurological rehabilitation,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Brain–computer interfaces in neurological rehabilitation,

Reference 3

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This paper cites Brain–computer interfaces for communication and control,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Brain–computer interfaces for communication and control,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.840513Z

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This paper cites Event related desynchronization-modulated functional elec- trical stimulation system for stroke rehabilitation: a feasibility study,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Event related desynchronization-modulated functional elec- trical stimulation system for stroke rehabilitation: a feasibility study,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.832102Z

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Observation 48048b72-3bec-47f3-bb99-1a6187ca1e4d · outbound

This paper cites Neuronal ensemble control of prosthetic devices by a human with tetraplegia,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Neuronal ensemble control of prosthetic devices by a human with tetraplegia,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.823606Z

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Observation d7754b0d-bbe7-40ab-8f76-c4d980d93e08 · outbound

This paper cites Current trends in graz brain-computer interface (bci) research,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Current trends in graz brain-computer interface (bci) research,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.814513Z

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Observation a28ca703-654d-4c97-bde4-d5a725e58f1d · outbound

This paper cites An approach to improve the per- formance of subject-independent bcis-based on motor imagery allocating subjects by gender,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network An approach to improve the per- formance of subject-independent bcis-based on motor imagery allocating subjects by gender,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.806053Z

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Observation dc9327b0-a255-4f40-a7ed-2fe21f1edd6a · outbound

This paper cites Comparison of designs towards a subject-independent brain-computer interface based on motor imagery,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Comparison of designs towards a subject-independent brain-computer interface based on motor imagery,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.797496Z

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This paper cites Comprehensive common spatial patterns with temporal structure information of EEG data: minimizing nontask re- lated EEG component,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Comprehensive common spatial patterns with temporal structure information of EEG data: minimizing nontask re- lated EEG component,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.788937Z

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Observation 6dfe2dbb-a5eb-4ac4-8026-d0126293d191 · outbound

This paper cites Comparison of classiﬁers and statistical analysis for EEG signals used in brain computer interface motor task paradigm,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Comparison of classiﬁers and statistical analysis for EEG signals used in brain computer interface motor task paradigm,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.778159Z

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Observation c07027e1-af39-4c48-bf2d-4d93aad3451c · outbound

This paper cites Rough set-based classiﬁcation of EEG signals related to real and imagery motion,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Rough set-based classiﬁcation of EEG signals related to real and imagery motion,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.769026Z

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Observation 9c9fd6b2-c879-4d4f-890b-dd7ea09cc20e · outbound

This paper cites Comparison of classiﬁcation ,ethods for EEG signals of real and imaginary motion,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Comparison of classiﬁcation ,ethods for EEG signals of real and imaginary motion,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.760777Z

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This paper cites Real and imaginary motion classiﬁcation based on rough set analysis of EEG signals for multimedia applications,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Real and imaginary motion classiﬁcation based on rough set analysis of EEG signals for multimedia applications,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.752330Z

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Observation 3b26d438-7016-4f44-ac45-e4a20dfd81c2 · outbound

This paper cites Discrimi- nation of EEG-based motor imagery tasks by means of a simple phase information method,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Discrimi- nation of EEG-based motor imagery tasks by means of a simple phase information method,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.744026Z

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Observation 1ccf825b-f861-449d-872d-d35d52beaa15 · outbound

This paper cites Classiﬁcation of left/right hand movement EEG signals using event related potentials and advanced features,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Classiﬁcation of left/right hand movement EEG signals using event related potentials and advanced features,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.735459Z

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Observation 9de3ea16-2dce-4966-9f18-c81d825956f1 · outbound

This paper cites Logistic regression for single trial EEG classiﬁcation,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Logistic regression for single trial EEG classiﬁcation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.726612Z

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Observation e0a267c7-36c5-4973-8444-b011e1aadd46 · outbound

This paper cites Performance analysis of left/right hand movement classiﬁcation from EEG signal by intelligent algorithms,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Performance analysis of left/right hand movement classiﬁcation from EEG signal by intelligent algorithms,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.718292Z

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Observation 9552145f-6621-41c5-88f3-0a3781f381c6 · outbound

This paper cites Single-trial EEG classiﬁcation of motor imagery using deep convolutional neural networks,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Single-trial EEG classiﬁcation of motor imagery using deep convolutional neural networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.710108Z

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Observation 8404debe-9f54-4b8d-8b94-ab60f4bf742c · outbound

This paper cites A novel deep learning approach for classi- ﬁcation of eeg motor imagery signals,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network A novel deep learning approach for classi- ﬁcation of eeg motor imagery signals,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.701897Z

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Observation beb97944-9cbb-4ba7-8358-54678ee80504 · outbound

This paper cites Lstm-based EEG classiﬁcation in motor imagery tasks,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Lstm-based EEG classiﬁcation in motor imagery tasks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.693491Z

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Observation 044eaefa-c84f-4817-90ff-8993ec510213 · outbound

This paper cites Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface

Reference 22

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Observation 8a649d2b-9e7f-4ba5-9726-608f7ea1eeb1 · outbound

This paper cites EEG-based emotion recognition in music listening,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network EEG-based emotion recognition in music listening,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.684552Z

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Observation 90a9f407-4f4f-44c2-b4db-05ff0c819076 · outbound

This paper cites Automated Classification of L/R Hand Movement EEG Signals using Advanced Feature Extraction and Machine Learning.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Automated Classification of L/R Hand Movement EEG Signals using Advanced Feature Extraction and Machine Learning

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:53:51.459677Z

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Observation 890ab4a6-18c2-40f0-9b58-2722c39beced · outbound

This paper cites A long short-term memory deep learning network for the prediction of epileptic seizures using EEG signals,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network A long short-term memory deep learning network for the prediction of epileptic seizures using EEG signals,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.675117Z

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Observation 59e61fab-f8a6-401d-8387-f70de55f7130 · outbound

This paper cites Attention- based bidirectional long short-term memory networks for relation clas- siﬁcation,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Attention- based bidirectional long short-term memory networks for relation clas- siﬁcation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.666433Z

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Observation 3c8e30f0-bbbf-40a7-b579-e007f6158e5f · outbound

This paper cites Attention-based lstm for aspect- level sentiment classiﬁcation,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Attention-based lstm for aspect- level sentiment classiﬁcation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.656736Z

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Observation 1ba79cb5-2179-4eea-ab5c-95a27dd5028e · outbound

This paper cites A Critical Review of Recurrent Neural Networks for Sequence Learning.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network A Critical Review of Recurrent Neural Networks for Sequence Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:51.245340Z

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Observation ba3f89cb-3a5e-4804-ab97-ccc9cfaa8a97 · outbound

This paper cites Lstm: A search space odyssey,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Lstm: A search space odyssey,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.647771Z

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Observation 696b9207-a3eb-4ebd-9ca5-5f052560ea20 · outbound

This paper cites Bci2000: a general-purpose brain-computer interface (BCI) system,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Bci2000: a general-purpose brain-computer interface (BCI) system,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.635740Z

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Observation 962d6aa5-e7f9-4642-b778-94a2f0b9d96b · outbound

This paper cites Physionet: components of a new research resource for complex physiologic signals,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Physionet: components of a new research resource for complex physiologic signals,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.626544Z

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Observation 85599e9c-99cd-4a7d-afd2-6617ebd7844d · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Adam: A Method for Stochastic Optimization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:51.257199Z

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Observation 5863877a-4fc7-433e-b403-55e1d92d2a3b · outbound

This paper cites Decision tree structure based classiﬁ- cation of eeg signals recorded during two dimensional cursor movement imagery,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Decision tree structure based classiﬁ- cation of eeg signals recorded during two dimensional cursor movement imagery,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.616217Z

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Observation 694b7dfa-def4-4740-8355-b67337946f71 · outbound

This paper cites Random forest and ﬁlter bank common spatial patterns for eeg-based motor imagery classiﬁcation,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Random forest and ﬁlter bank common spatial patterns for eeg-based motor imagery classiﬁcation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.607042Z

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Observation 4a9c7a10-2708-492c-9867-cff70ad11b53 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Imagenet: A large-scale hierarchical image database,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.597925Z

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Observation d512cf16-e4de-455b-9771-d181fece6d22 · outbound

This paper cites Random forests,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Random forests,

Reference 36

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Observation 482bf57c-f9b6-4ea4-8a07-9bada1985853 · outbound

This paper cites An extensive empirical study of feature selection metrics for text classiﬁcation,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network An extensive empirical study of feature selection metrics for text classiﬁcation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.583354Z

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Observation b03c603c-e2d9-4d2f-aa6f-a28c3db263f3 · outbound

This paper cites Exploring large virtual environments by thoughts using a brain–computer interface based on motor imagery and high-level commands,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Exploring large virtual environments by thoughts using a brain–computer interface based on motor imagery and high-level commands,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.574163Z

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Observation 7fcbfd1a-d680-4ff9-94b2-237a5e6fd567 · outbound

This paper cites A direct demonstration of functional specialization in human visual cortex,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network A direct demonstration of functional specialization in human visual cortex,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.565164Z

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Observation 77d12fc3-ae28-4653-b8b9-5eee598b73ac · outbound

This paper cites Two visual systems re-viewed,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Two visual systems re-viewed,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:51.280056Z

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This paper cites Visual ﬁeld maps in human cortex,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Visual ﬁeld maps in human cortex,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.551281Z

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Observation 869d9626-9b51-44ee-abc6-c51740e8c0d6 · outbound

This paper cites The mental prosthesis: assessing the speed of a p300-based brain-computer interface,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network The mental prosthesis: assessing the speed of a p300-based brain-computer interface,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.542344Z

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Observation f8c8297a-00a1-4f71-94b9-e87e72a804e0 · outbound

This paper cites On the usability of electroencephalographic signals for biometric recognition: A survey,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network On the usability of electroencephalographic signals for biometric recognition: A survey,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.533487Z

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Observation 38dd0da7-70e8-48ca-9d41-1bb2b976bc1c · outbound

This paper cites Factors inﬂuencing the latency of simple reaction time,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Factors inﬂuencing the latency of simple reaction time,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.524422Z

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Observation 2abee261-6d21-4a16-ada5-8e20f2e72c3c · outbound

This paper cites Separate visual pathways for perception and action,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Separate visual pathways for perception and action,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.514021Z

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Observation 411b61df-764a-42b8-a4d3-52b370c914c7 · outbound

This paper cites Bottom-up visual integration in the medial parietal lobe,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Bottom-up visual integration in the medial parietal lobe,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.504992Z

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Observation 70a21cc8-edb3-48e7-95b6-5a8176665de9 · outbound

This paper cites Motor functions of the parietal lobe,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Motor functions of the parietal lobe,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.495815Z

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Observation 23a9dc3a-2aa2-4efd-9df4-1cb14b01be8f · outbound

This paper cites Motor areas in the frontal lobe of the primate,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Motor areas in the frontal lobe of the primate,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.486610Z

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Observation d10d4157-ae93-4a73-84b3-2b3b1a375ac1 · outbound

This paper cites Wgan domain adap- tation for eeg-based emotion recognition,.

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network Wgan domain adap- tation for eeg-based emotion recognition,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:51.477378Z

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