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Cui H, Cao Z, Wang S, Zhang H, Chen Z, Wu X, Zhao Y, Qie S, Li W. Surface electromyography characteristics of patients with anterior cruciate ligament injury in different rehabilitation phases. Front Physiol 2023; 14:1116452. [PMID: 37051018 PMCID: PMC10083235 DOI: 10.3389/fphys.2023.1116452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 03/13/2023] [Indexed: 03/29/2023] Open
Abstract
Background: Anterior cruciate ligament reconstruction (ACLR) is a common treatment for anterior cruciate ligament (ACL) injury. However, after ACLR, a significant proportion of patients do not return to pre-injury levels. Research on muscle function during movement has important implications in rehabilitation.Methods: Sixty patients with unilateral ACL injury were recruited for this study and assigned into three groups: group A, individuals with an ACL injury before 6 months; group B, individuals with ACLR from 6 months to 1 year; and group C, individuals with ACLR 1 year later. Surface electromyography (SEMG) signals were collected from the bilateral rectus femoris (RF), vastus medialis (VM), vastus lateralis (VL), biceps femoris (BF), and semitendinosus (ST). The tasks performed during the experiment included straight leg raising (SLR) training at 30°, SLR training at 60°, ankle dorsiflexion, walking, and fast walking.Results: In the maximum muscle strength test, the affected side of the BF in group A (199.4 ± 177.12) was significantly larger than in group B (53.91 ± 36.61, p = 0.02) and group C (75.08 ± 59.7, p = 0.023). In the walking test, the contralateral side of the RF in group B (347.53 ± 518.88) was significantly greater than that in group C (139.28 ± 173.78, p = 0.029). In the SLR training (60°) test, the contralateral side of the RF in group C (165.37 ± 183.06) was significantly larger than that in group A (115.09 ± 62.47, p = 0.023) and smaller than that in group B (226.21 ± 237.17, p = 0.046); In the ankle dorsiflexion training test, the contralateral side of the RF in group B (80.37 ± 87.9) was significantly larger than that in group C (45.61 ± 37.93, p = 0.046).Conclusion: This study showed the EMG characteristics of patients with ACL injury helped to determine which muscle requires more training and which exercise model would be best suited for intervention.
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Affiliation(s)
- Hongxing Cui
- Department of Rehabilitation, Binzhou Medical University Hospital, Binzhou, Shandong, China
| | - Zhijie Cao
- Department of Rehabilitation, Binzhou Medical University Hospital, Binzhou, Shandong, China
| | - Shanshan Wang
- Department of Rehabilitation, Binzhou Medical University Hospital, Binzhou, Shandong, China
| | - Hao Zhang
- School of Rehabilitation Medicine, Binzhou Medical University, Yantai, Shandong, China
| | - Ze Chen
- School of Rehabilitation Medicine, Binzhou Medical University, Yantai, Shandong, China
| | - Xipeng Wu
- School of Rehabilitation Medicine, Binzhou Medical University, Yantai, Shandong, China
| | - Yixuan Zhao
- School of Rehabilitation Medicine, Binzhou Medical University, Yantai, Shandong, China
| | - Shuyan Qie
- Department of Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China
- *Correspondence: Wei Li, ; Shuyan Qie,
| | - Wei Li
- Department of Rehabilitation, Binzhou Medical University Hospital, Binzhou, Shandong, China
- *Correspondence: Wei Li, ; Shuyan Qie,
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Wood DS, Jensen K, Crane A, Lee H, Dennis H, Gladwell J, Shurtz A, Fullwood DT, Seeley MK, Mitchell UH, Christensen WF, Bowden AE. Accurate Prediction of Knee Angles during Open-Chain Rehabilitation Exercises Using a Wearable Array of Nanocomposite Stretch Sensors. SENSORS 2022; 22:s22072499. [PMID: 35408112 PMCID: PMC9003122 DOI: 10.3390/s22072499] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 03/20/2022] [Accepted: 03/21/2022] [Indexed: 01/14/2023]
Abstract
In this work, a knee sleeve is presented for application in physical therapy applications relating to knee rehabilitation. The device is instrumented with sixteen piezoresistive sensors to measure knee angles during exercise, and can support at-home rehabilitation methods. The development of the device is presented. Testing was performed on eighteen subjects, and knee angles were predicted using a machine learning regressor. Subject-specific and device-specific models are analyzed and presented. Subject-specific models average root mean square errors of 7.6 and 1.8 degrees for flexion/extension and internal/external rotation, respectively. Device-specific models average root mean square errors of 12.6 and 3.5 degrees for flexion/extension and internal/external rotation, respectively. The device presented in this work proved to be a repeatable, reusable, low-cost device that can adequately model the knee's flexion/extension and internal/external rotation angles for rehabilitation purposes.
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Affiliation(s)
- David S. Wood
- Department of Mechanical Engineering, Brigham Young University, Provo, UT 84602, USA; (D.S.W.); (K.J.); (A.C.); (D.T.F.)
| | - Kurt Jensen
- Department of Mechanical Engineering, Brigham Young University, Provo, UT 84602, USA; (D.S.W.); (K.J.); (A.C.); (D.T.F.)
| | - Allison Crane
- Department of Mechanical Engineering, Brigham Young University, Provo, UT 84602, USA; (D.S.W.); (K.J.); (A.C.); (D.T.F.)
| | - Hyunwook Lee
- Department of Exercise Science, Brigham Young University, Provo, UT 84602, USA; (H.L.); (H.D.); (M.K.S.); (U.H.M.)
| | - Hayden Dennis
- Department of Exercise Science, Brigham Young University, Provo, UT 84602, USA; (H.L.); (H.D.); (M.K.S.); (U.H.M.)
| | - Joshua Gladwell
- Department of Statistics, Brigham Young University, Provo, UT 84602, USA; (J.G.); (A.S.); (W.F.C.)
| | - Anne Shurtz
- Department of Statistics, Brigham Young University, Provo, UT 84602, USA; (J.G.); (A.S.); (W.F.C.)
| | - David T. Fullwood
- Department of Mechanical Engineering, Brigham Young University, Provo, UT 84602, USA; (D.S.W.); (K.J.); (A.C.); (D.T.F.)
| | - Matthew K. Seeley
- Department of Exercise Science, Brigham Young University, Provo, UT 84602, USA; (H.L.); (H.D.); (M.K.S.); (U.H.M.)
| | - Ulrike H. Mitchell
- Department of Exercise Science, Brigham Young University, Provo, UT 84602, USA; (H.L.); (H.D.); (M.K.S.); (U.H.M.)
| | - William F. Christensen
- Department of Statistics, Brigham Young University, Provo, UT 84602, USA; (J.G.); (A.S.); (W.F.C.)
| | - Anton E. Bowden
- Department of Mechanical Engineering, Brigham Young University, Provo, UT 84602, USA; (D.S.W.); (K.J.); (A.C.); (D.T.F.)
- Correspondence:
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