Sign Up to like & get
recommendations!
0
Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3562961
Abstract: As low-back pain prevalence rises, lumbar rehabilitation robots are becoming more common. By analyzing surface electromyographic (EMG) signals, lumbar movements can be recognized, enabling real-time feedback for personalized training. Deep learning methods are increasingly used…
read more here.
Keywords:
information;
densenet;
recognition;
surface ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3348298
Abstract: This study introduces a novel frequency-based attention network (FANet) designed to acquire frequency information in surface electromyographic signals (sEMG) while mitigating potential high-frequency disturbances. The utilization of the discrete cosine transform (DCT) in dedicated attention…
read more here.
Keywords:
attention;
gesture;
based attention;
attention network ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2025 at "PLOS ONE"
DOI: 10.1371/journal.pone.0318560
Abstract: Variability of myoelectric activity during walking is the result of human capability to adapt to both intrinsic and extrinsic perturbations. The availability of sEMG signals lasting at least some minutes (instead of seconds) is needed…
read more here.
Keywords:
pace;
analysis;
semg signals;
surface electromyographic ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "Journal of Functional Morphology and Kinesiology"
DOI: 10.3390/jfmk7030067
Abstract: Exercises for the abdominal muscles are widely used in athletic activities for strength training and prevention of low back disorders. The timing and volume of muscle activation for various movements have not yet been clarified.…
read more here.
Keywords:
electromyographic activity;
rectus abdominis;
abdominis external;
surface electromyographic ... See more keywords