| Title: | Manual editing significantly improves the accuracy of motor unit recruitment threshold and discharge rate assessment from synthetic high-density surface electromyograms |
|---|
| Authors: | ID Murks, Nina, Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia (Author) ID Škarabot, Jakob, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK (Author) ID Kramberger, Matej, Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia (Author) ID Sedej, Gašper, Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia (Author) ID Valenčič, Tamara, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK (Author) ID Connelly, Christopher D., School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK (Author) ID Thomason, Haydn, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK (Author) ID Divjak, Matjaž, Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia (Author) ID Holobar, Aleš, Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia (Author) |
| Files: | ERK_2025_Murks.pdf (417,15 KB) MD5: 544F5B9A67DE714DC053ED4C55103305
https://erk.fe.uni-lj.si/2025/papers/murks(manual_editing).pdf
|
|---|
| Language: | English |
|---|
| Work type: | Scientific work |
|---|
| Typology: | 1.08 - Published Scientific Conference Contribution |
|---|
| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
|
|---|
| Abstract: | This study examined the influence of manual editing on the accuracy of motor unit (MU) metrics derived from high-density surface EMG. Seven operators with varying levels of experience manually edited synthetic datasets from the Soleus and Biceps Brachii. We then calculated recruitment threshold (ReTh), derecruitment threshold (DeTh), discharge rate (DR), recruitment discharge rate (ReDR), and derecruitment discharge rate (DeDR) before
and after editing. The effects of operator’s experience, contraction level, initial pulse-to-noise ratio (PNR), signal-to-noise ratio (SNR), muscle type, and editing status were analyzed.
Manual editing significantly improved accuracy only for ReTh and DR, whereas with other metrics, it only had a minor, insignificant effect. Higher initial PNR consistently reduced errors across all metrics. Contraction level strongly influenced all metrics, whereas muscle type and SNR had minimal impact—SNR was significant only for DeTh, and muscle type only for ReTh. Operator’s experience did not significantly affect any metric. Overall, these results indicate that manual editing is critical for reliable estimation of ReTh and DR, but less essential for DeDR, particularly when initial PNR is high. |
|---|
| Keywords: | high-density surface electromyography, motor unit, soleus, biceps brachii, recruitment threshold, discharge rate |
|---|
| Publication status: | Not published |
|---|
| Publication version: | Preprint, working version of publication, not peer-reviewed |
|---|
| Year of publishing: | 2025 |
|---|
| Number of pages: | 5 |
|---|
| PID: | 20.500.12556/DKUM-97207  |
|---|
| UDC: | 004.5:61 |
|---|
| ISSN on article: | 2591-0442 |
|---|
| COBISS.SI-ID: | 251377411  |
|---|
| Publication date in DKUM: | 26.02.2026 |
|---|
| Views: | 157 |
|---|
| Downloads: | 3 |
|---|
| Metadata: |  |
|---|
| Categories: | Misc.
|
|---|
|
:
|
Copy citation |
|---|
| | | | Average score: | (0 votes) |
|---|
| Your score: | Voting is allowed only for logged in users. |
|---|
| Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |