Author

C. Gronlund

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Assay:electrophysiology· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

R. Rohlen· 3 shared A. Botter· 2 shared M. Carbonaro· 2 shared C. Antfolk· 1 shared G. L. Cerone· 1 shared K. M. Meiburger· 1 shared K. Meiburger· 1 shared S. Seoni· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 23 mutual co-author links

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3 shared papersBioengineering

R. Rohlen

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Author profile →

3 papers

Recent·Most cited

Combining high-density electromyography and ultrafast ultrasound to assess individual motor unit properties in vivo

M. Carbonaro, R. Rohlen, S. Seoni, K. Meiburger, T. Vieira, C. Gronlund, A. Botter

This study compares two methods for identifying motor unit displacement areas using HDsEMG and UUS, finding that STICA offers more precise results despite higher computational complexity.

bioRxiv · Jul 3, 2023 · PreprintBioengineering

Spatially repeatable components from ultrafast ultrasound are associated with motor unit activity in human isometric contractions

R. Rohlen, M. Carbonaro, G. L. Cerone, K. M. Meiburger, A. Botter, C. Gronlund

This study uses ultrafast ultrasound to identify motor unit activity by analyzing spatial map repeatability, finding that repeatable components correlate with motor units and can reduce data.

bioRxiv · Apr 17, 2023Bioengineering

Optimization and comparison of two methods for spike train estimation in an unfused tetanic contraction of low threshold motor units

R. Rohlen, C. Antfolk, C. Gronlund

The paper optimizes and compares two spike train estimation methods, finding that the continuous Haar wavelet transform method (HWM) outperforms the band-pass filter method (BPM) in accuracy and consistency.

bioRxiv · Jul 1, 2022Bioengineering