On the Utility of Representation Learning Algorithms for Myoelectric Interfacing

Alexander Olsson

Forskningsoutput: Avhandling › Doktorsavhandling (sammanläggning)

569 Nedladdningar (Pure)

5 Artikel i vetenskaplig tidskrift
1 Konferenspaper i proceeding

6 resultat

2021
Learning regularized representations of categorically labelled surface EMG enables simultaneous and proportional myoelectric control
Olsson, A. E., Malešević, N., Björkman, A. & Antfolk, C., 2021 feb. 15, I: Journal of NeuroEngineering and Rehabilitation. 18, 19 s., 35.
Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

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A database of high-density surface electromyogram signals comprising 65 isometric hand gestures
Malešević, N., Olsson, A., Sager, P., Andersson, E., Cipriani, C., Controzzi, M., Björkman, A. & Antfolk, C., 2021, I: Scientific Data. 8, 1, 63.
Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

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End-to-End Estimation of Hand- and Wrist Forces From Raw Intramuscular EMG Signals Using LSTM Networks
Olsson, A. E., Malešević, N., Björkman, A. & Antfolk, C., 2021, I: Frontiers in Neuroscience. 15, s. 1-10 10 s., 777329.
Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

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2020
Automatic discovery of resource-restricted Convolutional Neural Network topologies for myoelectric pattern recognition
Olsson, A. E., Björkman, A. & Antfolk, C., 2020 maj, I: Computers in Biology and Medicine. 120, 103723.
Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

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2019

Exploiting the Intertemporal Structure of the Upper-Limb sEMG: Comparisons between an LSTM Network and Cross-Sectional Myoelectric Pattern Recognition Methods
Olsson, A., Malesevic, N., Björkman, A. & Antfolk, C., 2019 juli, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE - Institute of Electrical and Electronics Engineers Inc.
Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review
Extraction of Multi-Labelled Movement Information from the Raw HD-sEMG Image with Time-Domain Depth
Olsson, A. E., Sager, P., Andersson, E., Björkman, A., Malešević, N. & Antfolk, C., 2019, I: Scientific Reports. 9, 1, 7244.
Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

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On the Utility of Representation Learning Algorithms for Myoelectric Interfacing

Forskningsoutput

Sökresultat

Learning regularized representations of categorically labelled surface EMG enables simultaneous and proportional myoelectric control

A database of high-density surface electromyogram signals comprising 65 isometric hand gestures

End-to-End Estimation of Hand- and Wrist Forces From Raw Intramuscular EMG Signals Using LSTM Networks

Automatic discovery of resource-restricted Convolutional Neural Network topologies for myoelectric pattern recognition

Exploiting the Intertemporal Structure of the Upper-Limb sEMG: Comparisons between an LSTM Network and Cross-Sectional Myoelectric Pattern Recognition Methods

Extraction of Multi-Labelled Movement Information from the Raw HD-sEMG Image with Time-Domain Depth