Publications by authors named "E Clancy"
Article Synopsis
- Deep neural networks (DNNs) and transfer learning (TL) are used to enhance force estimation from surface electromyograms (sEMG), but previous research mainly focused on a single joint, limiting data diversity.
- This study explored cross-joint TL between two upper-limb joints using four DNN models, finding that 400 ms is sufficient to capture important sEMG-force relationships, suggesting simpler models may work effectively.
- Fine-tuning a model pre-trained on elbow data with hand-wrist data improved accuracy and reduced training data needs, with a convolutional neural network achieving a significant lower error rate compared to other models.
Genetic medicines show promise for treating various diseases, yet clinical success has been limited by tolerability, scalability, and immunogenicity issues of current delivery platforms. To overcome these, we developed a proteolipid vehicle (PLV) by combining features from viral and non-viral approaches. PLVs incorporate fusion-associated small transmembrane (FAST) proteins isolated from fusogenic orthoreoviruses into a well-tolerated lipid formulation, using scalable microfluidic mixing.
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- Skeletal muscles are vital for movement, and understanding how to estimate the forces they produce is essential in fields like biomechanics, robotics, and rehabilitation.
- Direct measurement of muscle force in humans is invasive, so non-invasive methods like electromyography (EMG) are used for estimation, and a matrix developed by CEDE provides guidelines on EMG applications.
- The matrix suggests EMG methods for identifying muscle force during isometric and dynamic contractions, while emphasizing the importance of considering various factors to improve accuracy in estimating muscle forces, fostering interdisciplinary discussions to enhance muscle modeling techniques.
Gender is one of the most salient social identities, particularly during early adolescence. However, factors related to adolescents' gender attitudes remain underexamined. We examined links between adolescents' gender discrimination, felt-gender similarity, and intergroup gender attitudes.
View Article and Find Full Text PDFThe diversity in electromyography (EMG) techniques and their reporting present significant challenges across multiple disciplines in research and clinical practice, where EMG is commonly used. To address these challenges and augment the reproducibility and interpretation of studies using EMG, the Consensus for Experimental Design in Electromyography (CEDE) project has developed a checklist (CEDE-Check) to assist researchers to thoroughly report their EMG methodologies. Development involved a multi-stage Delphi process with seventeen EMG experts from various disciplines.
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