Proof-of-concept: Differentiating upper trapezius muscle with myofascial trigger point using deep learning model on a small prospective sEMG dataset.

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Bibliographic Details
Title: Proof-of-concept: Differentiating upper trapezius muscle with myofascial trigger point using deep learning model on a small prospective sEMG dataset.
Authors: Lu HE; Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, USA., Koivisto D; Division of Physical Medicine and Rehabilitation, Department of Medicine, University of Toronto, Toronto, Canada., Zeng Z; Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, USA; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA., Yu T; Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, USA; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA., Wang J; Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, USA., Meng X; Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, USA., Wilson R; Department Chair of Physical Medicine and Rehabilitation, the MetroHealth System, Cleveland, OH 44109, USA; Case Western Reserve University School of Medicine, Cleveland, OH 44109, USA., Kumbhare D; Division of Physical Medicine and Rehabilitation, Department of Medicine, University of Toronto, Toronto, Canada. Electronic address: Dinesh.Kumbhare@uhn.ca., Pu J; Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, USA; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA; Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA 15213, USA. Electronic address: jip13@pitt.edu.
Source: Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology [J Electromyogr Kinesiol] 2026 Jun; Vol. 88, pp. 103132. Date of Electronic Publication: 2026 Mar 08.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 9109125 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-5711 (Electronic) Linking ISSN: 10506411 NLM ISO Abbreviation: J Electromyogr Kinesiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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