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Correlation of the movement deviation profile of shoulder muscle EMG with measures of shoulder function
S28
ESMAC 2012 abstract / Gait & Posture 38 (2013) S1–S116
ments (inspired by the Melbourne test): combing hair, reaching a target (placed at the level of face height), bring a cup to mouth, move an object form right to left. Each movement was repeated 3 times for each side. Both Euler (YXY) and Cardan (YXZ) sequences were used in the calculation of the shoulder angles [4]. The center of the gleno-humeral joint is the center of a sphere defined by the functional movements of the shoulder [5]. A repeatability study was conducted on 12 asymptomatic adults who passed the exam twice at one week interval. Angles in the 3 planes were calculated for the thorax, scapula (scapulo-thoracic), shoulder (humero-thoracic), elbow (radio- humeral) and wrist (carpo-radial). Range of Motion (ROM) was calculated for each angle. Differences in movements between dominant and non-dominant sides were evaluated. Results: Euler sequence presented a large number of gimbal lock values for shoulder angles especially for the plane of elevation. Corridors of normality were defined (mean ± 1SD). The repeatability study showed no statistical difference between sessions (t-test, p>0,05). The Confidence Interval (CI) at 95% was estimated for each angle. It reached a maximum of ±20◦ and ±23◦ for shoulder’s flex/extension and abduction movements. There were no statistical difference between the dominant and non dominant sides during movements (p>0,05) except for lateral/medial rotation of the scapula during horizontal add/abduction and the add/abduction of the shoulder during lateral movement of an object. Discussion & conclusions: Cardan sequence (YXZ) seemed to be more suitable for interpretation of shoulder angles. The CI at 95% will be taken into consideration when patient’s kinematics is compared to the asymptomatic database. The maximum of testretest variability was present where large ROM is executed (210◦ and 115◦ for shoulder flex/extension and abduction movements). References [1] [2] [3] [4] [5]
Jaspers. Gait Posture 2009. Butler. Gait Posture 2010. Wu. J Biomech 2005. Senk. Clin Biomech 2006. Stokdijk. J Biomech 2005.
to aid clinical decision making. The aim of this study was to correlate the MDP derived from shoulder muscle EMG with measures of functional status in a population of rotator cuff tear patients [2]. Patients/materials and methods: EMG was recorded from 13 shoulder muscles in a group of 13 healthy controls and 11 patients with a two tendon rotator cuff tear (RCT) [2] while performing 10 cycles of a functional shelf lifting task. Signals were filtered, rectified and smoothed; time and amplitude normalisation enabled averaging [2]. The MDP was calculated using a downloadable computer program which is based on a self-organising neural network [1]. Pearson’s correlation coefficient (PCC) was used to correlate the mean MDP (a single number summary of the MDP) to functional upper limb measures. These included the functional impairment test-hand, neck, shoulder and arm (FIT-HaNSA) [3], range of motion (flexion and abduction ROM), Upper Limb Function Index, Oxford Shoulder Score and mean grip strength. Results: With the exception of a moderate correlation with the Upper Limb Functional Index (PCC = −0.612, p = 0.045) there were no significant correlations between the mean MDP and the functional measures: FIT-HaNSA PCC = −0.085 (p = 0.804); abduction ROM PCC = −0.098 (p = 0.775); flexion ROM PCC = −0.053, (p = 0.878); Oxford Shoulder Score PCC = 0.527 (p = 0.096); mean grip strength PCC = 0.205 (p = 0.545). Discussion AND conclusions: The mean MDP provides an objective measure of a patient’s EMG deviation from normality, but it does not correlate well with common functional measures used to assess the shoulder. This is in contrast to the high correlation of the mean MDP with functional status in gait analysis [1]. Compensation capacity of highly redundant muscle function around the shoulder may result in altered muscle activation patterns even though the functional scores remain unchanged [2]. Systematic evaluation of the time course of the MDP may highlight compensatory mechanisms employed by patients with rotator cuff tears. The MDP provides a complementary measure of movement performance with a specific focus on inter-muscular relationships around the shoulder and is therefore a valuable adjunct to guide EMG analysis.
http://dx.doi.org/10.1016/j.gaitpost.2013.07.058
References
O45
[1] Barton GJ, et al. Human Movement Science http://dx.doi.org/10.1016/j.humov.2010.06.003. [2] Hawkes DH, et al. Journal of Orthopaedic Research http://dx.doi.org/10.1002/jor.22051. [3] MacDermid JC, et al. BMC Musculoskeletal Disorders 2007;8:42.
Correlation of the movement deviation profile of shoulder muscle EMG with measures of shoulder function Gabor J. Barton 1 , David H. Hawkes 2 , Omid Alizadehkhaiyat 2 , Anthony J. Howard 2 , Margaret M. Roebuck 2 , Anthony C. Fisher 3 , Simon P. Frostick 2 , Mark A. Robinson 1 , Malcolm B. Hawken 1 1 Liverpool John Moores University, Research Institute for Sport and Exercise Sciences, Liverpool, UK 2 University of Liverpool, Musculoskeletal Science Research Group, Liverpool, UK 3 Royal Liverpool University Hospital, Department of Medical Physics and Clinical Engineering, Liverpool, UK
Introduction: The movement deviation profile (MDP) describes an individual’s deviation from normality at all points in a movement cycle. Although described and validated with joint kinematics, it can be applied to any multi-channel time varying signals. The application of the MDP to evaluate electromyography (EMG) during activities of daily living may offer a simple and objective tool
2012, 2011,
http://dx.doi.org/10.1016/j.gaitpost.2013.07.059 O46 Quantification of upper limb movements during gait in hereditary spastic paraplegia patients and spastic diplegia patients Alice Bonnefoy-Mazure 1 , Katia Turcot 1 , André Kaelin 2 , Geraldo De Coulon 2 , Stéphane Armand 1 1
Geneva University Hospitals and Geneva University, Willy Taillard Laboratory of Kinesiology, Geneva, Switzerland 2 Geneva University Hospitals and Geneva University, Pediatric Orthopaedic Service, Department of Child and Adolescent, Geneva, Switzerland Introduction: Clinical resemblance of hereditary spastic paraplegia (HSP) subjects and spastic diplegia (SD) subjects is reflected on the strong similarity of gait patterns found using a clinical gait
ESMAC 2012 abstract / Gait & Posture 38 (2013) S1–S116
ments (inspired by the Melbourne test): combing hair, reaching a target (placed at the level of face height), bring a cup to mouth, move an object form right to left. Each movement was repeated 3 times for each side. Both Euler (YXY) and Cardan (YXZ) sequences were used in the calculation of the shoulder angles [4]. The center of the gleno-humeral joint is the center of a sphere defined by the functional movements of the shoulder [5]. A repeatability study was conducted on 12 asymptomatic adults who passed the exam twice at one week interval. Angles in the 3 planes were calculated for the thorax, scapula (scapulo-thoracic), shoulder (humero-thoracic), elbow (radio- humeral) and wrist (carpo-radial). Range of Motion (ROM) was calculated for each angle. Differences in movements between dominant and non-dominant sides were evaluated. Results: Euler sequence presented a large number of gimbal lock values for shoulder angles especially for the plane of elevation. Corridors of normality were defined (mean ± 1SD). The repeatability study showed no statistical difference between sessions (t-test, p>0,05). The Confidence Interval (CI) at 95% was estimated for each angle. It reached a maximum of ±20◦ and ±23◦ for shoulder’s flex/extension and abduction movements. There were no statistical difference between the dominant and non dominant sides during movements (p>0,05) except for lateral/medial rotation of the scapula during horizontal add/abduction and the add/abduction of the shoulder during lateral movement of an object. Discussion & conclusions: Cardan sequence (YXZ) seemed to be more suitable for interpretation of shoulder angles. The CI at 95% will be taken into consideration when patient’s kinematics is compared to the asymptomatic database. The maximum of testretest variability was present where large ROM is executed (210◦ and 115◦ for shoulder flex/extension and abduction movements). References [1] [2] [3] [4] [5]
Jaspers. Gait Posture 2009. Butler. Gait Posture 2010. Wu. J Biomech 2005. Senk. Clin Biomech 2006. Stokdijk. J Biomech 2005.
to aid clinical decision making. The aim of this study was to correlate the MDP derived from shoulder muscle EMG with measures of functional status in a population of rotator cuff tear patients [2]. Patients/materials and methods: EMG was recorded from 13 shoulder muscles in a group of 13 healthy controls and 11 patients with a two tendon rotator cuff tear (RCT) [2] while performing 10 cycles of a functional shelf lifting task. Signals were filtered, rectified and smoothed; time and amplitude normalisation enabled averaging [2]. The MDP was calculated using a downloadable computer program which is based on a self-organising neural network [1]. Pearson’s correlation coefficient (PCC) was used to correlate the mean MDP (a single number summary of the MDP) to functional upper limb measures. These included the functional impairment test-hand, neck, shoulder and arm (FIT-HaNSA) [3], range of motion (flexion and abduction ROM), Upper Limb Function Index, Oxford Shoulder Score and mean grip strength. Results: With the exception of a moderate correlation with the Upper Limb Functional Index (PCC = −0.612, p = 0.045) there were no significant correlations between the mean MDP and the functional measures: FIT-HaNSA PCC = −0.085 (p = 0.804); abduction ROM PCC = −0.098 (p = 0.775); flexion ROM PCC = −0.053, (p = 0.878); Oxford Shoulder Score PCC = 0.527 (p = 0.096); mean grip strength PCC = 0.205 (p = 0.545). Discussion AND conclusions: The mean MDP provides an objective measure of a patient’s EMG deviation from normality, but it does not correlate well with common functional measures used to assess the shoulder. This is in contrast to the high correlation of the mean MDP with functional status in gait analysis [1]. Compensation capacity of highly redundant muscle function around the shoulder may result in altered muscle activation patterns even though the functional scores remain unchanged [2]. Systematic evaluation of the time course of the MDP may highlight compensatory mechanisms employed by patients with rotator cuff tears. The MDP provides a complementary measure of movement performance with a specific focus on inter-muscular relationships around the shoulder and is therefore a valuable adjunct to guide EMG analysis.
http://dx.doi.org/10.1016/j.gaitpost.2013.07.058
References
O45
[1] Barton GJ, et al. Human Movement Science http://dx.doi.org/10.1016/j.humov.2010.06.003. [2] Hawkes DH, et al. Journal of Orthopaedic Research http://dx.doi.org/10.1002/jor.22051. [3] MacDermid JC, et al. BMC Musculoskeletal Disorders 2007;8:42.
Correlation of the movement deviation profile of shoulder muscle EMG with measures of shoulder function Gabor J. Barton 1 , David H. Hawkes 2 , Omid Alizadehkhaiyat 2 , Anthony J. Howard 2 , Margaret M. Roebuck 2 , Anthony C. Fisher 3 , Simon P. Frostick 2 , Mark A. Robinson 1 , Malcolm B. Hawken 1 1 Liverpool John Moores University, Research Institute for Sport and Exercise Sciences, Liverpool, UK 2 University of Liverpool, Musculoskeletal Science Research Group, Liverpool, UK 3 Royal Liverpool University Hospital, Department of Medical Physics and Clinical Engineering, Liverpool, UK
Introduction: The movement deviation profile (MDP) describes an individual’s deviation from normality at all points in a movement cycle. Although described and validated with joint kinematics, it can be applied to any multi-channel time varying signals. The application of the MDP to evaluate electromyography (EMG) during activities of daily living may offer a simple and objective tool
2012, 2011,
http://dx.doi.org/10.1016/j.gaitpost.2013.07.059 O46 Quantification of upper limb movements during gait in hereditary spastic paraplegia patients and spastic diplegia patients Alice Bonnefoy-Mazure 1 , Katia Turcot 1 , André Kaelin 2 , Geraldo De Coulon 2 , Stéphane Armand 1 1
Geneva University Hospitals and Geneva University, Willy Taillard Laboratory of Kinesiology, Geneva, Switzerland 2 Geneva University Hospitals and Geneva University, Pediatric Orthopaedic Service, Department of Child and Adolescent, Geneva, Switzerland Introduction: Clinical resemblance of hereditary spastic paraplegia (HSP) subjects and spastic diplegia (SD) subjects is reflected on the strong similarity of gait patterns found using a clinical gait