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Removing Muscle Artifacts From EEG Data: Multichannel or Single-Channel Techniques?
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Outgoing claims: the papers this work cites, builds on, or argues with.
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inferredcites →https://doi.org/10.1016/j.ndteint.2004.11.005openalex-snapshot
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inferredcites →https://doi.org/10.1080/00029238.1995.11080524openalex-snapshot
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inferredcites →https://doi.org/10.1098/rspa.1998.0193openalex-snapshot
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What points at this work
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inferred← citeshttps://doi.org/10.1007/978-981-10-9038-7_98openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-13-2517-5_68openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-15-8218-9_48openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-16-2123-9_19openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-95-5831-5_43openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00034-023-02350-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10015-024-00981-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-323-95437-2.00010-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.aei.2024.102831openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.asoc.2021.107149openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.autcon.2024.105674openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.bspc.2017.06.012openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.bspc.2019.01.023openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.bspc.2021.103452openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.bspc.2025.107962openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cmpb.2019.03.015openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cmpb.2019.105092openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compbiomed.2017.06.013openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compbiomed.2018.08.020openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compbiomed.2020.104188openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compbiomed.2021.104347openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ifacol.2020.12.655openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.irbm.2020.08.002openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jneumeth.2020.108909openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jneumeth.2021.109104openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2019.02.060openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.pscychresns.2023.111641openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.vrih.2022.01.001openalex-snapshot
A novel SSA-CCA framework for muscle artifact removal from ambulatory EEG
inferred← citeshttps://doi.org/10.1049/htl.2019.0053openalex-snapshot
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inferred← citeshttps://doi.org/10.1049/iet-spr.2017.0344openalex-snapshot
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inferred← citeshttps://doi.org/10.1063/5.0148898openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/00051144.2023.2220207openalex-snapshot
Enhanced EEG classification using adaptive DWT and heuristic-ICA algorithm
inferred← citeshttps://doi.org/10.1080/23311916.2025.2514941openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1757-899x/405/1/012001openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/2057-1976/abfd81openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/2057-1976/ac2aeeopenalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2018.2842082openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2018.2852641openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2019.2915564openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2019.2957401openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/aisp61711.2024.10870455openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/conecct65861.2025.11306598openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/embc58623.2025.11253461openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/globalsip.2017.8309106openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icccnt61001.2024.10725435openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iccece58645.2024.10497290openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icecs49266.2020.9294865openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icit48102.2019.00041openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icma.2016.7558976openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icscc51209.2021.9528156openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/isspit47144.2019.9001818openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/jsen.2018.2872623openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/jsen.2022.3208768openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/metroxraine62247.2024.10796177openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/sps.2019.8882014openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tbme.2018.2828808openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tfuzz.2017.2728521openalex-snapshot
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inferred← citeshttps://doi.org/10.20944/preprints202103.0555.v1openalex-snapshot
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inferred← citeshttps://doi.org/10.2174/1573405617666210908124704openalex-snapshot
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inferred← citeshttps://doi.org/10.22214/ijraset.2017.10149openalex-snapshot
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TF-Denoiser: A Time-Frequency Domain Joint Method for EEG Artifact Removal
inferred← citeshttps://doi.org/10.3390/ijerph18042001openalex-snapshot
A Neurophysiological Pattern as a Precursor of Work-Related Musculoskeletal Disorders Using EEG Combined with EMG
inferred← citeshttps://doi.org/10.3390/jimaging7080122openalex-snapshot
Non-Contact Automatic Vital Signs Monitoring of Infants in a Neonatal Intensive Care Unit Based on Neural Networks
inferred← citeshttps://doi.org/10.3390/s17050989openalex-snapshot
Analysis of Gamma-Band Activity from Human EEG Using Empirical Mode Decomposition
inferred← citeshttps://doi.org/10.3390/s18030920openalex-snapshot
Detection of Cardiopulmonary Activity and Related Abnormal Events Using Microsoft Kinect Sensor
inferred← citeshttps://doi.org/10.3390/s19050987openalex-snapshot
Removal of Artifacts from EEG Signals: A Review
inferred← citeshttps://doi.org/10.3390/s19102302openalex-snapshot
An Unsupervised Method for Artefact Removal in EEG Signals
inferred← citeshttps://doi.org/10.3390/s22082948openalex-snapshot
Automatic Muscle Artifacts Identification and Removal from Single-Channel EEG Using Wavelet Transform with Meta-Heuristically Optimized Non-Local Means Filter
inferred← citeshttps://doi.org/10.3390/s25010231openalex-snapshot
DHCT-GAN: Improving EEG Signal Quality with a Dual-Branch Hybrid CNN–Transformer Network
inferred← citeshttps://doi.org/10.46604/peti.2021.7653openalex-snapshot
Artifact Removal Methods in EEG Recordings: A Review
inferred← citeshttps://doi.org/10.5772/intechopen.99127openalex-snapshot
A Brief Summary of EEG Artifact Handling
inferred← citeshttps://doi.org/10.70675/e88205f1zf2bfz4c21z999dza3a216d76cdcopenalex-snapshot
Deep learning methods for motor imagery detection from raw EEG : applications to brain-computer interfaces
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