Towards a Simplified Estimation of Muscle Activation Pattern from MRI and EMG Using Electrical Network and Graph Theory Article Swipe
Enrico Piovanelli
,
Davide Piovesan
,
Shouhei Shirafuji
,
Becky Su
,
Natsue Yoshimura
,
Yousuke Ogata
,
Jun Ota
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/s20030724
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/s20030724
Muscle functional MRI (mfMRI) is an imaging technique that assess muscles’ activity, exploiting a shift in the T2-relaxation time between resting and active state on muscles. It is accompanied by the use of electromyography (EMG) to have a better understanding of the muscle electrophysiology; however, a technique merging MRI and EMG information has not been defined yet. In this paper, we present an anatomical and quantitative evaluation of a method our group recently introduced to quantify its validity in terms of muscle pattern estimation for four subjects during four isometric tasks. Muscle activation pattern are estimated using a resistive network to model the morphology in the MRI. An inverse problem is solved from sEMG data to assess muscle activation. The results have been validated with a comparison with physiological information and with the fitting on the electrodes space. On average, over 90% of the input sEMG information was able to be explained with the estimated muscle patterns. There is a match with anatomical information, even if a strong subjectivity is observed among subjects. With this paper we want to proof the method’s validity showing its potential in diagnostic and rehabilitation fields.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s20030724
- OA Status
- gold
- Cited By
- 8
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3004279831
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W3004279831Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/s20030724Digital Object Identifier
- Title
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Towards a Simplified Estimation of Muscle Activation Pattern from MRI and EMG Using Electrical Network and Graph TheoryWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-01-28Full publication date if available
- Authors
-
Enrico Piovanelli, Davide Piovesan, Shouhei Shirafuji, Becky Su, Natsue Yoshimura, Yousuke Ogata, Jun OtaList of authors in order
- Landing page
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https://doi.org/10.3390/s20030724Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.3390/s20030724Direct OA link when available
- Concepts
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Graph theory, Graph, Computer science, Biomedical engineering, Artificial intelligence, Engineering, Mathematics, Theoretical computer science, CombinatoricsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
8Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2023: 1, 2022: 1, 2021: 3, 2020: 1Per-year citation counts (last 5 years)
- References (count)
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38Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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