Methodological aspects of SEMG recordings for force estimation--a tutorial and review.

By Didier Staudenmann, K. Roeleveld, D. Stegeman, J. V. van Dieën. Journal of Electromyography & Kinesiology, 2010

378 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/0bcc9f7542a003d0407ed6746ce9f1389ef6f7bc

How researchers see this paper

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In Biomedical Engineering

1. Daohui Zhang
2. Xingang Zhao
3. Dezhen Xiong
4. Yiwen Zhao

Citations in the corpus

• Deep Learning for EMG-based Human-Machine Interaction: A Review (2021, background): “Research that studies the relationship between the EMG signals and the muscle force have a long history that can be traced back to 1952 [112].”