A Deep Learning Pipeline for Identification of Motor Units in Musculoskeletal Ultrasound
Author:
Funder
Swedish Research Council
Kempestiftelserna
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/8948470/09201287.pdf?arnumber=9201287
Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Spatial decomposition of ultrafast ultrasound images to identify motor unit activity – A comparative study with intramuscular and surface EMG;Journal of Electromyography and Kinesiology;2023-12
2. Design of an Efficient Bioinspired Multidomain Feature Processing Model for Identification of Spinal Cord Tumours via Convolutional Networks;2023 IEEE World Conference on Applied Intelligence and Computing (AIC);2023-07-29
3. Spatially repeatable components from ultrafast ultrasound are associated with motor unit activity in human isometric contractions *;Journal of Neural Engineering;2023-07-26
4. Spatial decomposition of ultrafast ultrasound images to identify motor unit activity – A validation study using intramuscular and surface EMG;2023-06-24
5. A fast blind source separation algorithm for decomposing ultrafast ultrasound images into spatiotemporal muscle unit kinematics;Journal of Neural Engineering;2023-05-22
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