1
|
Hoffmann M, Begon M, Assila N, St-Pierre MO, Bertrand-Grenier A, Duprey S, Sobczak S. Moment arms of the deltoid, infraspinatus and teres minor muscles for movements with high range of motion: A cadaveric study. Clin Biomech (Bristol, Avon) 2022; 97:105685. [PMID: 35671631 DOI: 10.1016/j.clinbiomech.2022.105685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 05/19/2022] [Accepted: 05/20/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND Moment arms are an indicator of the role of the muscles in joint actuation. An excursion method is often used to calculate them, even though it provides 1D results. As shoulder movement occurs in three dimensions (combination of flexion, abduction and axial rotation), moment arms should be given in 3D. Our objective was to assess the 3D moment arms of the rotator cuff (infraspinatus and teres minor) and deltoid muscles for movements with high arm elevation. METHODS The 3D moment arms (components in plane of elevation, elevation and axial rotation) were assessed using a geometric method, enabling to calculate the moment arms in 3D, on five fresh post-mortem human shoulders. Movement with high range of motion were performed (including overhead movement). The humerus was elevated until it reaches its maximal posture in different elevation plane (flexion, scaption, abduction and elevation in a plane 30° posterior to frontal plane). FINDINGS We found that the anterior deltoid was a depressor and contributes to move the elevation plane anteriorly. The median deltoid was a great elevator and the posterior deltoid mostly acted in moving the elevation plane posteriorly. The infraspinatus and teres minor were the greatest external rotator of the shoulder. The position of the glenohumeral joint induces changes in the muscular moment arms. The maximal shoulder elevation was 144° (performed in the scapular plane). INTERPRETATION The knowledge of 3D moment arms for different arm elevations might help surgeons in planning tendon reconstructive surgery and help validate musculoskeletal models.
Collapse
Affiliation(s)
- Marion Hoffmann
- Institute of biomedical engineering, Université de Montréal, Montréal, Canada.
| | - Mickael Begon
- Institute of biomedical engineering, Université de Montréal, Montréal, Canada; School of kinesiology and physical activity sciences, Université de Montréal, Montréal, Canada
| | - Najoua Assila
- School of kinesiology and physical activity sciences, Université de Montréal, Montréal, Canada; Univ Lyon, Université Claude Bernard Lyon 1, Univ Gustave Eiffel, LBMC UMR_T9406, F69622, Lyon, France
| | | | - Antony Bertrand-Grenier
- Centre intégré universitaire de santé et de services sociaux Mauricie et Centre-du-Québec, Trois-Rivières, Canada
| | - Sonia Duprey
- Univ Lyon, Université Claude Bernard Lyon 1, Univ Gustave Eiffel, LBMC UMR_T9406, F69622, Lyon, France
| | - Stéphane Sobczak
- Département d'anatomie, Université du Québec à Trois-Rivières, Trois-Rivières, Canada; Chaire de recherche en anatomie fonctionnelle, Université du Québec à Trois-Rivières, Trois-Rivières, Canada; Groupe de recherche sur les affections neuro-musculosquelettiques, Université de Québec à Trois-Rivières, Trois-Rivières, Canada
| |
Collapse
|
2
|
Liu G, Cai H, Leelayuwat N. Intervention Effect of Rehabilitation Robotic Bed Under Machine Learning Combined With Intensive Motor Training on Stroke Patients With Hemiplegia. Front Neurorobot 2022; 16:865403. [PMID: 35756160 PMCID: PMC9218362 DOI: 10.3389/fnbot.2022.865403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Accepted: 04/19/2022] [Indexed: 11/30/2022] Open
Abstract
It was aimed to discuss the effect of bed-type rehabilitation robots under machine learning combined with intensive motor training on the motor function of lower limbs of stroke patients with hemiplegia. A total of 80 patients with stroke hemiplegia were taken as the subjects, who all had a course of treatment for less than 6 months in the Rehabilitation Medicine Department of Ganzhou Hospital. These patients were divided into the experimental group (40 cases) and the control group (40 cases) by random number method. For patients in the control group, conventional intensive motor training was adopted, whereas the conventional intensive motor training combined with the bed-type rehabilitation robot under machine learning was applied for patients in the experimental group. Fugl-Meyer Assessment of Lower Extremity (FMA-LE), Rivermead Mobility Index (RMI), and Modified Barthel Index (MBI) were used to evaluate the motor function and mobility of patients. The human–machine collaboration experiment system was constructed, and the software and hardware of the control system were designed. Then, the experimental platform for lower limb rehabilitation training robots was built, and the rehabilitation training methods for stroke patients with hemiplegia were determined by completing the contact force experiment. The results showed that the prediction effect of back-propagation neural network (BPNN) was better than that of the radial basis neural network (RBNN). The bed-type rehabilitation robot under machine learning combined with intensive motor training could significantly improve the motor function and mobility of the lower limbs of stroke patients with hemiplegia.
Collapse
Affiliation(s)
- Guangliang Liu
- Graduate School of Khon Kaen University, Khon Kaen, Thailand
| | - Haiqin Cai
- College of Music, Gannan Normal University, Ganzhou, China
| | | |
Collapse
|
3
|
Glize B, Cook A, Benard A, Sagnier S, Olindo S, Poli M, Debruxelles S, Renou P, Rouanet F, Bader C, Dehail P, Sibon I. Early multidisciplinary prevention program of post-stroke shoulder pain: A randomized clinical trial. Clin Rehabil 2022; 36:1042-1051. [PMID: 35505589 DOI: 10.1177/02692155221098733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE To evaluate if positioning the upper-limb promoting abduction, external rotation and flexion of the shoulder reduces the intensity of post-stroke shoulder pain at day-7 compared to usual clinical practice. DESIGN & SETTING Prospective single-center randomized clinical trial using a superiority design comparing two preventive strategies of post-stroke shoulder pain in a stroke unit. SUBJECTS Patients were included within 2 days from a first symptomatic ischemic stroke affecting shoulder motor function. INTERVENTIONS Intervention group included specific positioning of the shoulder in abduction, external rotation and flexion in bed, chair and during mobilization. Control group referred to usual practice i.e. positioning using a standard support scarf. MAIN MEASURES Primary outcome was the intensity of shoulder pain assessed by the visual analog scale (VAS) (0-100) at day-7 post-stroke. Other outcomes measured at day-7 and 2 months post-stroke were the VAS, motor function, spasticity, depression, functional independence and rates of complex regional Pain syndrome (CRPS). RESULTS 76 patients (49 males; mean age = 68.3) were randomized. The shoulder pain at day-7 was not different between the control group (16.1, SD = 27.4) and the intervention group (10.3, SD = 21.5, p = 0.18) as well as at 2 months (p = 0.12). A lower rate of depression was observed in the intervention group at 2 months 36.7% (CI95% 19.9;56.1) vs 52.9% (CI95% 35.1;70.2). No between-group difference in other outcomes was observed at 2 months. CONCLUSIONS This study failed to demonstrate the benefit of a specific positioning tool in reducing the intensity of post-stroke shoulder pain which was lower than previously reported in the literature.
Collapse
Affiliation(s)
- Bertrand Glize
- Service de MPR, 36836CHU Bordeaux, Bordeaux, France.,HACS team, BPH INSERM 1219, 158435Univ. Bordeaux, Bordeaux, France
| | - Amandine Cook
- Centre de rééducation de la Tour de Gassies, Bruges, France.,Stroke Unit, Department of Neurology, 36836CHU Bordeaux, Bordeaux, France
| | - Antoine Benard
- Clinical Epidemiology Unit (USMR), 36836CHU Bordeaux, Pôle de Santé Publique, Bordeaux, France
| | - Sharmila Sagnier
- Stroke Unit, Department of Neurology, 36836CHU Bordeaux, Bordeaux, France.,Clinical Epidemiology Unit (USMR), 36836CHU Bordeaux, Pôle de Santé Publique, Bordeaux, France
| | - Stéphane Olindo
- Stroke Unit, Department of Neurology, 36836CHU Bordeaux, Bordeaux, France
| | - Mathilde Poli
- Stroke Unit, Department of Neurology, 36836CHU Bordeaux, Bordeaux, France
| | | | - Pauline Renou
- Stroke Unit, Department of Neurology, 36836CHU Bordeaux, Bordeaux, France
| | - François Rouanet
- Stroke Unit, Department of Neurology, 36836CHU Bordeaux, Bordeaux, France
| | - Clément Bader
- Clinical Epidemiology Unit (USMR), 36836CHU Bordeaux, Pôle de Santé Publique, Bordeaux, France
| | - Patrick Dehail
- Service de MPR, 36836CHU Bordeaux, Bordeaux, France.,HACS team, BPH INSERM 1219, 158435Univ. Bordeaux, Bordeaux, France
| | - Igor Sibon
- Stroke Unit, Department of Neurology, 36836CHU Bordeaux, Bordeaux, France.,Univ. Bordeaux, CNRS, EPHE, INCIA, UMR 5287, Bordeaux, France
| |
Collapse
|