An alternative EMG normalization method: Heterogeneous recurrence quantification analysis of isometric maximum voluntary contraction movements
This study presents an alternative method of normalizing Surface Electromyography (EMG)
signals, which provide valuable insights into the musculoskeletal properties of the human …
signals, which provide valuable insights into the musculoskeletal properties of the human …
Data envelopment analysis (DEA) for improving ergonomics and workplace performance
The purpose of the study was to develop a framework utilizing the Constant Returns to Scale
(CCR) model of Data Envelopment Analysis (DEA) to evaluate the performance of workers …
(CCR) model of Data Envelopment Analysis (DEA) to evaluate the performance of workers …
SEPP&M: A Machine Learning Dataset for Spine Surgery Somatosensory Evoked Potentials Prediction
D Zhang, S Liu, X Guo - 2024 5th International Seminar on …, 2024 - ieeexplore.ieee.org
The purpose of this study is to build a structured machine learning (ML) dataset for
somatosensory evoked potentials (SEP) perdition for spinal surgery monitoring. To this end …
somatosensory evoked potentials (SEP) perdition for spinal surgery monitoring. To this end …
[PDF][PDF] Investigation of an alternative EMG normalization technique: Recurrence quantification analysis of maximum voluntary contractions
Surface electromyography (EMG) is a non-invasive diagnostic tool used to reveal
neuromuscular disorders. To standardize data comparisons, EMG signals must be …
neuromuscular disorders. To standardize data comparisons, EMG signals must be …