The cartilage-generated bioelectric potentials induced by dynamic joint movement; an exploratory study
Abstract Background Excessive loading can damage knee cartilage, making it essential to assess and measure joint load effectively. Despite its importance, real-time monitoring of cartilage load in clinical settings remains challenging due to significant technical constraints. Electroarthrography, a...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-07-01
|
| Series: | BMC Musculoskeletal Disorders |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12891-025-08939-8 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849333964586614784 |
|---|---|
| author | Jae-Hyun Lee Ye-Seul Jang Won-Du Chang |
| author_facet | Jae-Hyun Lee Ye-Seul Jang Won-Du Chang |
| author_sort | Jae-Hyun Lee |
| collection | DOAJ |
| description | Abstract Background Excessive loading can damage knee cartilage, making it essential to assess and measure joint load effectively. Despite its importance, real-time monitoring of cartilage load in clinical settings remains challenging due to significant technical constraints. Electroarthrography, a recently introduced non-invasive technique, offers a promising solution by detecting load-generated potentials in joint cartilage through surface electrodes. While previous studies have primarily focused on static load applications, such as standing weight shift task or simple isometric contraction, our study explores its potential in dynamic loading scenarios. Methods We analyzed data from 20 knees in 20 subjects, using eight surface electrodes placed around each knee to capture electrical signals during three activities: active knee extension in a seated position, passive range of motion exercise in a decubitus position, and restricted squats. The recorded signals were processed into potential-time graphs, decomposed according to movement states, and analyzed through a deep neural network. Results The results showed that cartilage-generated potentials were significantly higher during active extension compared to passive extension (1.62 mV vs. 0.87 mV; p < 0.05), with the deep neural network achieving an average classification accuracy of 98.77%. Conclusion These findings highlight the feasibility of measuring and classifying cartilage-generated potentials during dynamic physical activities, providing valuable insights into load-related differences. This approach establishes a solid foundation for applications in rehabilitation medicine by facilitating the determination of appropriate exercise intensities, assessing risks associated with daily activities, and classifying physical activities. Further studies focusing on diverse biomechanical conditions will enhance its clinical utility. |
| format | Article |
| id | doaj-art-d258a202440445819cf34e3dda5cc83a |
| institution | Kabale University |
| issn | 1471-2474 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Musculoskeletal Disorders |
| spelling | doaj-art-d258a202440445819cf34e3dda5cc83a2025-08-20T03:45:43ZengBMCBMC Musculoskeletal Disorders1471-24742025-07-0126111410.1186/s12891-025-08939-8The cartilage-generated bioelectric potentials induced by dynamic joint movement; an exploratory studyJae-Hyun Lee0Ye-Seul Jang1Won-Du Chang2Department of Artificial Intelligence Convergence, Pukyong National UniversityDepartment of System Integration Engineering, Faculty of Engineering, University of YamanashiDepartment of Artificial Intelligence Convergence, Pukyong National UniversityAbstract Background Excessive loading can damage knee cartilage, making it essential to assess and measure joint load effectively. Despite its importance, real-time monitoring of cartilage load in clinical settings remains challenging due to significant technical constraints. Electroarthrography, a recently introduced non-invasive technique, offers a promising solution by detecting load-generated potentials in joint cartilage through surface electrodes. While previous studies have primarily focused on static load applications, such as standing weight shift task or simple isometric contraction, our study explores its potential in dynamic loading scenarios. Methods We analyzed data from 20 knees in 20 subjects, using eight surface electrodes placed around each knee to capture electrical signals during three activities: active knee extension in a seated position, passive range of motion exercise in a decubitus position, and restricted squats. The recorded signals were processed into potential-time graphs, decomposed according to movement states, and analyzed through a deep neural network. Results The results showed that cartilage-generated potentials were significantly higher during active extension compared to passive extension (1.62 mV vs. 0.87 mV; p < 0.05), with the deep neural network achieving an average classification accuracy of 98.77%. Conclusion These findings highlight the feasibility of measuring and classifying cartilage-generated potentials during dynamic physical activities, providing valuable insights into load-related differences. This approach establishes a solid foundation for applications in rehabilitation medicine by facilitating the determination of appropriate exercise intensities, assessing risks associated with daily activities, and classifying physical activities. Further studies focusing on diverse biomechanical conditions will enhance its clinical utility.https://doi.org/10.1186/s12891-025-08939-8KneeCartilageBiomechanicsKinematics and kineticsRehabilitation |
| spellingShingle | Jae-Hyun Lee Ye-Seul Jang Won-Du Chang The cartilage-generated bioelectric potentials induced by dynamic joint movement; an exploratory study BMC Musculoskeletal Disorders Knee Cartilage Biomechanics Kinematics and kinetics Rehabilitation |
| title | The cartilage-generated bioelectric potentials induced by dynamic joint movement; an exploratory study |
| title_full | The cartilage-generated bioelectric potentials induced by dynamic joint movement; an exploratory study |
| title_fullStr | The cartilage-generated bioelectric potentials induced by dynamic joint movement; an exploratory study |
| title_full_unstemmed | The cartilage-generated bioelectric potentials induced by dynamic joint movement; an exploratory study |
| title_short | The cartilage-generated bioelectric potentials induced by dynamic joint movement; an exploratory study |
| title_sort | cartilage generated bioelectric potentials induced by dynamic joint movement an exploratory study |
| topic | Knee Cartilage Biomechanics Kinematics and kinetics Rehabilitation |
| url | https://doi.org/10.1186/s12891-025-08939-8 |
| work_keys_str_mv | AT jaehyunlee thecartilagegeneratedbioelectricpotentialsinducedbydynamicjointmovementanexploratorystudy AT yeseuljang thecartilagegeneratedbioelectricpotentialsinducedbydynamicjointmovementanexploratorystudy AT wonduchang thecartilagegeneratedbioelectricpotentialsinducedbydynamicjointmovementanexploratorystudy AT jaehyunlee cartilagegeneratedbioelectricpotentialsinducedbydynamicjointmovementanexploratorystudy AT yeseuljang cartilagegeneratedbioelectricpotentialsinducedbydynamicjointmovementanexploratorystudy AT wonduchang cartilagegeneratedbioelectricpotentialsinducedbydynamicjointmovementanexploratorystudy |