Alexander E. Olsson

About Alexander E. Olsson

Alexander E. Olsson, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Lunds Universitet, specializes in the field of Machine Learning, Signal Processing, Neuroengineering, Myoelectric Control.

His recent articles reflect a diverse array of research interests and contributions to the field:

On the Utility of Representation Learning Algorithms for Myoelectric Interfacing

End-to-end estimation of hand-and wrist forces from raw intramuscular emg signals using lstm networks

Can Deep Synthesis of EMG Overcome the Geometric Growth of Training Data Required to Recognize Multiarticulate Motions?*

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

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

An Algorithm Calibrated with Categorically Labelled EMG for End-to-End Estimation of Continuous Hand Kinematics

Automatic discovery of resource-restricted convolutional neural network topologies for myoelectric pattern recognition

Alexander E. Olsson Information

University

Position

PhD Student in Biomedical Engineering

Citations(all)

139

Citations(since 2020)

139

Cited By

18

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Alexander E. Olsson Skills & Research Interests

Machine Learning

Signal Processing

Neuroengineering

Myoelectric Control

Top articles of Alexander E. Olsson

Title

Journal

Author(s)

Publication Date

On the Utility of Representation Learning Algorithms for Myoelectric Interfacing

Alexander Olsson

2023

End-to-end estimation of hand-and wrist forces from raw intramuscular emg signals using lstm networks

Frontiers in Neuroscience

Alexander E Olsson

Nebojša Malešević

Anders Björkman

Christian Antfolk

2021/11/17

Can Deep Synthesis of EMG Overcome the Geometric Growth of Training Data Required to Recognize Multiarticulate Motions?*

Alexander E Olsson

Nebojša Malešević

Anders Björkman

Christian Antfolk

2021/11/1

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

Scientific Data

Nebojša Malešević

Alexander Olsson

Paulina Sager

Elin Andersson

Christian Cipriani

...

2021/2/18

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

Journal of NeuroEngineering and Rehabilitation

Alexander E Olsson

Nebojša Malešević

Anders Björkman

Christian Antfolk

2021/12

An Algorithm Calibrated with Categorically Labelled EMG for End-to-End Estimation of Continuous Hand Kinematics

MEC20 Symposium

Alexander Olsson

Nebojsa Malesevic

Anders Bjorkman

Christian Antfolk

2020/7/23

Automatic discovery of resource-restricted convolutional neural network topologies for myoelectric pattern recognition

Computers in Biology and Medicine

Alexander E Olsson

Anders Björkman

Christian Antfolk

2020/5/1

See List of Professors in Alexander E. Olsson University(Lunds Universitet)

Co-Authors

academic-engine