Investigation of muscle fatigue during on-water rowing using surface EMG
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
In this work, four different algorithms (fast Fourier transform FFT, short-time Fourier transform STFT, continuous wavelet transform CWT, and instantaneous frequency IF) for calculating median frequency (MDF) from surface EMG signals were investigated for studying muscle fatigue during a on-water rowing training. The study protocol included 5 consecutive parts with increasing stroke rate. Six athletes participated in the study aged 36.6+-14.6 years and a rowing experience of 6 to 35 years. We considered eight muscles: biceps brachii right, biceps brachii left, latissimus dorsi right, latissimus dorsi left, erector spinae right, erector spinae left, rectus femoris and biceps femoris. By applying Friedmann test, we found a significant difference in MDF behavior between algorithms in assessing muscle fatigue (p < 0.05). Correlation analyses showed significant correlations between muscle activity duration t{textit{act}} and MDF, which differs for the four considered algorithms and should be taken into account in further experiments. With CWT showing the smallest correlation to t{textit{act}} it might be more robust against time window variations. Our study provides a basis for the development of improved methods for more robust, non-invasive, and continuous detection of muscle fatigue in experiments with dynamic on-water rowing study designs.
Details
Original language | English |
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Title of host publication | 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) |
Pages | 3623-3627 |
Number of pages | 5 |
ISBN (electronic) | 9781728127828 |
Publication status | Published - 11 Jul 2022 |
Peer-reviewed | Yes |
External IDs
Scopus | 85138128149 |
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dblp | conf/embc/SchwensowHMS22 |
Mendeley | 004c37c8-487b-3406-a857-6613144e4d6b |
ORCID | /0000-0003-2214-6505/work/146646229 |