Motor Unit Identification From High-Density Surface Electromyograms in Repeated Dynamic Muscle Contractions

IEEE Transactions on Neural Systems and Rehabilitation Engineering ◽

10.1109/tnsre.2018.2885283 ◽

2019 ◽

Vol 27 (1) ◽

pp. 66-75 ◽

Author(s):

Vojko Glaser ◽

Ales Holobar

Keyword(s):

Muscle Contractions ◽

High Density ◽

Density Surface ◽

Surface Electromyograms

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On the prediction of motor unit filter changes in blind source separation of high-density surface electromyograms during dynamic muscle contractions

IEEE Access ◽

10.1109/access.2021.3099015 ◽

2021 ◽

pp. 1-1

Author(s):

Matej Kramberger ◽

Ales Holobar

Keyword(s):

Blind Source Separation ◽

Source Separation ◽

Muscle Contractions ◽

High Density ◽

Density Surface ◽

Surface Electromyograms

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On the Need for Spatial Whitening of High-Density Surface Electromyograms in Motor Unit Identification by Neural Networks

8th European Medical and Biological Engineering Conference - IFMBE Proceedings ◽

10.1007/978-3-030-64610-3_102 ◽

2020 ◽

pp. 915-922

Author(s):

Filip Urh ◽

Damjan Strnad ◽

Alex Clarke ◽

Dario Farina ◽

Aleš Holobar

Keyword(s):

Neural Networks ◽

High Density ◽

Density Surface ◽

Surface Electromyograms

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Motor unit filter prelearning strategies for decomposition of compound muscle action potentials in high-density surface electromyograms*

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) ◽

10.1109/embc44109.2020.9175479 ◽

2020 ◽

Author(s):

A. Holobar ◽

A. Francic

Keyword(s):

Action Potentials ◽

High Density ◽

Muscle Action ◽

Compound Muscle Action Potentials ◽

Density Surface ◽

Surface Electromyograms

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Simulations of high-density surface electromyograms in dynamic muscle contractions

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2017.8037599 ◽

2017 ◽

Author(s):

V. Glaser ◽

D. Farina ◽

A. Holobar

Keyword(s):

Muscle Contractions ◽

High Density ◽

Density Surface ◽

Surface Electromyograms

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Impact of motor unit action potential components on the motor unit identification from dynamic high-density surface electromyograms

2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) ◽

10.1109/ner.2017.8008299 ◽

2017 ◽

Author(s):

V. Glaser ◽

A. Holobar

Keyword(s):

Action Potential ◽

High Density ◽

Motor Unit Action Potential ◽

Density Surface ◽

Motor Unit Action ◽

Surface Electromyograms ◽

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On the Reuse of Motor Unit Filters in High Density Surface Electromyograms with Different Signal-to-Noise Ratios

8th European Medical and Biological Engineering Conference - IFMBE Proceedings ◽

10.1007/978-3-030-64610-3_103 ◽

2020 ◽

pp. 923-931

Author(s):

Aljaž Frančič ◽

Aleš Holobar

Keyword(s):

High Density ◽

Signal To Noise ◽

Density Surface ◽

Surface Electromyograms

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Robust identification of motor unit discharges from high-density surface EMG in dynamic muscle contractions of the tibialis anterior

IEEE Access ◽

10.1109/access.2021.3107283 ◽

2021 ◽

pp. 1-1

Author(s):

Hikaru Yokoyama ◽

Atsushi Sasaki ◽

Naotsugu Kaneko ◽

Akira Saito ◽

Kimitaka Nakazawa

Keyword(s):

Tibialis Anterior ◽

Surface Emg ◽

Muscle Contractions ◽

High Density ◽

Robust Identification ◽

Density Surface

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Novel Method for Accuracy Assessment of Individual Motor Unit Firing Identification from High-Density Surface Electromyograms

2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES) ◽

10.1109/iecbes.2018.8626647 ◽

2018 ◽

Author(s):

Filip Urh ◽

Ales Holobar

Keyword(s):

Accuracy Assessment ◽

High Density ◽

Motor Unit Firing ◽

Density Surface ◽

Novel Method ◽

Surface Electromyograms ◽

Individual Motor

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On the reuse of Motor Unit filters in high density surface electromyograms recorded at different contraction levels

IEEE Access ◽

10.1109/access.2021.3104762 ◽

2021 ◽

pp. 1-1

Author(s):

Aljaz Francic ◽

Ales Holobar

Keyword(s):

High Density ◽

Density Surface ◽

Surface Electromyograms

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On the Crosstalk in Motor Unit Spike Train Identification from High-Density Surface Electromyograms

10.1007/978-3-030-70316-5_62 ◽

2021 ◽

pp. 389-393

Author(s):

Matjaž Divjak ◽

Lukas G. Wiedemann ◽

Andrew J. McDaid ◽

A. Holobar

Keyword(s):

Spike Train ◽

High Density ◽

Density Surface ◽

Surface Electromyograms ◽

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