Author

C. Antfolk

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· 5

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 4 Approach:statistical model· 4 Research Focus:cell type annotation· 3 Research Focus:clustering· 3 Assay:electrophysiology· 3 Research Focus:benchmarking· 2 Approach:deep learning· 2 Organism:human· 2

Frequent Co-Authors

R. Rohlen· 4 shared J. Lundsberg· 2 shared N. Malesevic· 2 shared A. David· 1 shared A. Melendez-Calderon· 1 shared B. Grandi Sgambato· 1 shared C. Gronlund· 1 shared D. Farina· 1 shared

Activity by Year

2022-2023 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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4 shared papersBioengineering

R. Rohlen

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Author profile →

5 papers

Recent·Most cited

Spatial decomposition of ultrafast ultrasound images to identify motor unit activity - A validation study using intramuscular and surface EMG

R. Rohlen, E. Lubel, B. Grandi Sgambato, C. Antfolk, D. Farina

This study validates blind source separation methods on ultrafast ultrasound images to identify motor unit activity using EMG data from eleven participants.

bioRxiv · Jun 21, 2023 · PreprintBioengineering

A fast blind source separation algorithm for decomposing ultrafast ultrasound images into spatiotemporal muscle unit kinematics

R. Rohlen, J. Lundsberg, N. Malesevic, C. Antfolk

This paper introduces a fast blind source separation algorithm for decomposing ultrasound images into spatiotemporal muscle unit kinematics, showing improved speed and correlation compared to existing methods.

bioRxiv · Nov 22, 2022 · PreprintBioengineering

Estimating the neural spike train from an unfused tetanic signal of low threshold motor units using convolutive blind source separation

R. Rohlen, J. Lundsberg, C. Antfolk

The paper estimates spike trains from unfused tetanic signals using convolutive blind source separation, showing high agreement with simulated and reference data.

bioRxiv · Oct 12, 2022Bioengineering

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

Comparing algorithms for assessing upper limb use with inertial measurement units

T. Subash, A. David, S. ReetaJanetSurekha, S. Gayathri, S. Samuelkamaleshkumar, H. P. Magimairaj, N. Malesevic, C. Antfolk, V. SKM, A. Melendez-Calderon, S. Balasubramanian

This study compares methods for assessing upper limb use with IMUs, finding that intra-subject random forest machine learning outperforms other approaches.

bioRxiv · Feb 24, 2022Bioengineering