- Open Access
Early motor learning changes in upper-limb dynamics and shoulder complex loading during handrim wheelchair propulsion
© Vegter et al.; licensee BioMed Central. 2015
Received: 12 December 2014
Accepted: 19 February 2015
Published: 10 March 2015
To propel in an energy-efficient manner, handrim wheelchair users must learn to control the bimanually applied forces onto the rims, preserving both speed and direction of locomotion. Previous studies have found an increase in mechanical efficiency due to motor learning associated with changes in propulsion technique, but it is unclear in what way the propulsion technique impacts the load on the shoulder complex. The purpose of this study was to evaluate mechanical efficiency, propulsion technique and load on the shoulder complex during the initial stage of motor learning.
15 naive able-bodied participants received 12-minutes uninstructed wheelchair practice on a motor driven treadmill, consisting of three 4-minute blocks separated by two minutes rest. Practice was performed at a fixed belt speed (v = 1.1 m/s) and constant low-intensity power output (0.2 W/kg). Energy consumption, kinematics and kinetics of propulsion technique were continuously measured. The Delft Shoulder Model was used to calculate net joint moments, muscle activity and glenohumeral reaction force.
With practice mechanical efficiency increased and propulsion technique changed, reflected by a reduced push frequency and increased work per push, performed over a larger contact angle, with more tangentially applied force and reduced power losses before and after each push. Contrary to our expectations, the above mentioned propulsion technique changes were found together with an increased load on the shoulder complex reflected by higher net moments, a higher total muscle power and higher peak and mean glenohumeral reaction forces.
It appears that the early stages of motor learning in handrim wheelchair propulsion are indeed associated with improved technique and efficiency due to optimization of the kinematics and dynamics of the upper extremity. This process goes at the cost of an increased muscular effort and mechanical loading of the shoulder complex. This seems to be associated with an unchanged stable function of the trunk and could be due to the early learning phase where participants still have to learn to effectively use the full movement amplitude available within the wheelchair-user combination. Apparently whole body energy efficiency has priority over mechanical loading in the early stages of learning to propel a handrim wheelchair.
Persons with a lower-limb disability often depend on a handrim-propelled wheelchair for mobility during daily life. Handrim wheelchair propulsion is a physically straining form of ambulation as a consequence of a low mechanical efficiency and a high mechanical load on the shoulder complex, which might be associated with the frequent over-use injuries of the shoulder in people with a spinal cord injury [1-7].
Different studies on motor learning of wheelchair propulsion have shown that on a group level low-intensity practice can change the propulsion technique of handrim wheelchair propulsion and improve the mechanical efficiency [8-15], which is the ratio of external power output over internal power production. Furthermore, it was found that the propulsion technique changes because of practice, towards a longer-slower movement pattern with an increased angle of hand to rim contact and more net work per cycle, consequently reducing the push frequency [16,17]. However, it is currently not clear in what way these changes in propulsion technique impact the load on the shoulder complex.
To evaluate the load on the shoulder complex during a push cycle, inverse dynamics can be used as input for a musculoskeletal model to estimate muscle activity and joint reaction forces. For experienced wheelchair users the Delft Shoulder and Elbow Model  estimated peak glenohumeral reaction forces between 300 to 1400 N during each push cycle at speeds between 0.4 and 1.5 m.s−1, with concomitant high relative forces of the rotator cuff muscles, especially of the subscapularis and infraspinatus muscles [3,19-21]. When taking into account that wheeling an hour a day with a typical push frequency of 45 pushes per minute may already add up to some 2700 repetitions, the associated load on the shoulder complex might be considered a risk factor for overuse injury of the rotator cuff  and shoulder in general. Therefore, it is important to investigate whether motor learning-associated changes in propulsion technique are related to a reduction of the muscle forces and joint reaction forces of the shoulder complex.
In the present study the effect of natural motor learning on propulsion technique, shoulder load and mechanical efficiency will be studied in a group of novice able-bodied participants during the first twelve minutes of low-intensity wheelchair practice. Previously, this relatively short time frame of practice already showed improvements in mechanical efficiency and propulsion technique while at the same time also showing motor learning differences between a group of slow and fast improvers [16,17]. The slow and fast improvers were identified based on a relative 10% increase in mechanical efficiency over a 12 min practice period. The fast learning group increased more in mechanical efficiency and propulsion technique over the whole practice intervention. The current study will enroll a group of able-bodied novices in the same experimental protocol and - by adding three-dimensional position registration - will also be able to use the Delft Shoulder and Elbow Model  to evaluate the consequences of three bouts of 4 min low-intensity natural steady state wheeling practice on a motor driven treadmill on mechanical efficiency, propulsion technique, and on the modeled loading of the shoulder complex.
Therefore the objective of the current study was to establish whether the motor learning process during the first 12 minutes of handrim wheelchair propulsion would lead to 1) an increased mechanical efficiency and propulsion technique; 2) a reduction of mean and peak net moments around the glenohumeral shoulder joint and elbow; 3) a reduction of muscle activation and glenohumeral joint reaction force of the shoulder complex; 4) differences in the effect of practice between two groups of learners based on mechanical efficiency and reflected in propulsion technique and load on the shoulder complex.
It is hypothesized that because of practice the participants will change their propulsion technique towards a less straining mode of wheelchair propulsion [16,17], i.e. an increase in mechanical efficiency, adaption of a longer-slower movement pattern and a reduction in muscle forces and consequent glenohumeral reaction forces. In line with the results of our previous study we expected to identify two different groups of learners.
Fifteen able-bodied novices (8 male, 7 female), with a mean age of 27.4 ± 11.9 years, mean mass of 70.6 ± 13.6 kg and mean height of 1.78 ± 0.09 m, participated in the research after giving informed consent. Criteria for inclusion were: being able-bodied and having no previous experience with wheelchair propulsion. The exclusion criterion was the presence of any severe medical conditions that could have an influence on parameters measured in this study, based on a questionnaire (PAR-Q, ACSM (2009)). The study was approved by the Local Ethics Committee, of the Center for Human Movement Sciences, University Medical Center Groningen, University of Groningen, the Netherlands.
Propulsion technique variables and their definitions, automatically processed from the wheel signals using custom written Matlab code 
Mechanical efficiency (%)
The percentage of internal power used for external power delivered at the wheels
Mean power output/Energy expenditure
Push time (s)
Time from the start of positive torque to the stop of positive torque for an individual push.
tend(i) ‐ tstart(i)
Cycle time (s)
Time from the start of positive torque to the next start of positive torque.
tend(i) ‐ tstart(i ‐ 1)
The number of complete pushes per minute.
The power integrated over the Contact angle of the push.
∑start : end(Tz * ΔØ)
The minimum power preceding the push phase
The minimum power following the push phase
Contact angle (°)
Angle at the end of a push minus the angle at the start.
Øend(i) ‐ Østart(i)
3d mean force within the push phase
Meanstart : end(Fx2 + Fy2 + Fz2)0.5
3d peak force within the push phase
Maxstart : end(Fx2 + Fy2 + Fz2)0.5
Mean Fraction effective Force
Meanstart : end(Ftangential/Ftotal)
GH start position (mm)
Horizontal position of the glenohumeral joint (GHx) at the start of the push with respect to the wheel-axle (WAx)
GHxstart(i) ‐ WAxstart(i)
GH displacement (mm)
The position difference between GH at the start and end of the push phase
GHend(i) ‐ GHstart(i)
The regular rear wheels of the standardized wheelchair were replaced with one of two instrumented wheels, the Optipushc (Max Mobility) or the Smartwheeld (3-Rivers). Both wheels measure 3-dimensional forces and torques applied to the handrim, combined with the angle under which the wheel is rotated. Data were wirelessly transferred to a laptop at 200 Hz. An electronic pulse at the start of each measurement synchronized both wheels. Data of both wheels show good comparability, with an intra-class correlation for absolute agreement (ICC) of 0.89 for mean power output and ICC’s higher than 0.90 for propulsion technique characteristics .
The data from the instrumented wheels were further analyzed using custom-written Matlab routines. To be certain of stable, steady-state wheelchair propulsion, each last minute from the 4-min trials was used for the analysis. Per participant and exercise block the measured force (N), torque (Nm), angle (rad) and time (s) were used for further analyses. Individual pushes were defined as each period of continuous positive torque around the wheel axis with a positive minimum of at least 1 Nm . Over the identified pushes the propulsion technique variables (Table 1) were calculated and subsequently averaged over all pushes within the fourth minute of each practice trial per participant.
Delft shoulder and elbow model
DSEM outcome variables
GH mean Net Moment/Push (Nm)
The mean external net moment of the reaction force around the glenohumeral joint
GH peak Net Moment/Push (Nm)
The peak external net moment of the reaction force around the glenohumeral joint
HU mean Net Moment/Push (Nm)
The mean external net moment of the reaction force around the Humeroulnar joint
HU peak Net Moment/Push (Nm)
The peak external net moment of the reaction force around the Humeroulnar joint
Muscle Power total mean/Push (W)
The mean sum of all muscle powers during the push
Muscle Power total peak/Push (W)
The peak sum of all muscle powers during the push
Muscle Work total/Push (J)
The total muscle work performed per push
GH Reaction force mean/Push (N)
The mean glenohumeral reaction force per push
GH Reaction force peak/Push (N)
The peak glenohumeral reaction force per push
GH Reaction force peak/Cycle (N)
The peak glenohumeral reaction force per cycle
All data were checked for normal distribution and qualified for parametric statistical testing. To evaluate the effect of practice time repeated-measures ANOVA was used to compare mechanical efficiency, propulsion technique parameters, net joint moments of the glenohumeral and humeroulnar joint and the resulting muscular activity and glenohumeral joint reaction forces. Significance for the repeated-measures ANOVA was set at a p < 0.05 and by use of the Bonferroni correction the significance for the post hoc t-tests between any of the three different blocks was set at p < 0.017.
The relationship between the mean net joint moment and the mean glenohumeral joint reaction force was evaluated using a linear least square regression.
To examine motor learning differences between participants, the group was split in two sub-groups, based on a relative increase in mechanical efficiency of more than 10% between T1 and T3, to ensure that differences in learning were above the natural expected variation . The two groups were subsequently compared on the main outcome measures over all three practice-blocks using repeated-measures Anova, with the interaction between group (≤10% or >10%) and practice-blocks as the most important outcome.
Effect of motor learning on mechanical efficiency and propulsion technique
Mean (+/− sd) outcomes for all participants (n = 15) over the three consecutive practice blocks and outcomes of statistical analyses (levels of significance: P-Anova: <0.05; Bonferonni tests: <0.017)
T1 Mean Sd
T2 Mean Sd
T3 Mean Sd
Push time (s)
Cycle time (s)
Contact angle (°)
GH start position (mm)
GH displacement (mm)
GH mean Net Moment per Push (Nm)
GH mean Net Moment per Push (Nm)
HU mean Net Moment per Push (Nm)
HU peak Net Moment per Push (Nm)
Muscle Power total mean per push (W)
Muscle Power total peak per push (W)
Muscle Work total mean per push (J)
GH Reaction force mean per push (N)
GH Reaction force peak per push (N)
GH Reaction force peak per cycle (N)
For the timing of propulsion technique significant increases in push time (T1: 0.31 s, T2: 0.34 s, T3: 0.34 s) and cycle time (T1: 0.97 s, T2: 1.15 s, T3: 1.15 s) were found with significant post-hoc differences between T1-T2 and T1-T3. The increase in cycle time was also reflected by the reduced push frequency (T1: 66.6, T2: 55.5, T3: 55.0 pushes per minute) with similar significant post-hoc differences between T1-T2 and T1-T3. The positive work per push went up (T1: 8.7 J, T2: 10.3 J T3: 10.3 J), but again showing post-hoc effects only between T1-T2 and T1-T3. The negative phases before the push (T1: −8.1 W, T2: −6.1 W, T3: −5.5 W) and after the push (T1: −5.0 W, T2: −3.9 W, T3: −2.8 W) significantly reduced each next trial.
The increased work per push was performed over a larger contact angle on the handrim (T1: 63.5, T2: 69.6 T3: 70.4 degrees), rather than by an increase of force application. The latter is expressed in the absence of change in both Ftotmean (T1: 41.5 N, T2: 41.8 N, T3: 40.4 N) and Ftotpeak (T1: 68.0 N, T2: 69.6 N T3: 66.5 N). The mean fraction effective force showed a significant increase (T1: 69.4%, T2: 75.4%, T3: 75.3%), but again showing post-hoc effects only between T1-T2 and T1-T3.
The start position of the glenohumeral joint in the sagittal plane at the start of the push did not increase significantly over time (T1: −41 mm, T2: −53 mm, T3: −47 mm). Also the following displacement during the push did not increase significantly over time (T1: 27 mm, T2: 37 mm, T3: 39 mm), suggesting a rather inert trunk position during the propulsion cycle.
Effect of motor learning on shoulder complex loading
The mean net moment of the external force over the push phase around the glenohumeral joint significantly increased (T1: 12.4 Nm, T2: 16.1 Nm, T3: 15.3 Nm) with significant post-hoc differences between T1-T2 and T1-T3. The peak net moment of the external force around the glenohumeral joint did not increase significantly over time (T1: 26.3 Nm, T2: 31.0 Nm, T3: 28.5 Nm). Around the humeroulnar joint no significant changes in mean net moment (T1: 1.6 Nm, T2: 0.9 Nm, T3: 0.8 Nm) or peak net moment (T1: 7.7 Nm, T2: 6.6 Nm, T3: 7.0 Nm) were present over time.
In line with the increased net moments around the glenohumeral joint, the total mean muscle power per push, as estimated from the DSEM, increased significantly (T1: 25.1 W, T2: 35.0 W, T3: 37.5 W), with post-hoc difference seen for T1-T2 and T1-T3. No significant increase in peak power was observed (T1: 110.7 W, T2: 120.5 W, T3: 134.5 W). Also, the total muscle work per push increased over time (T1: 11.3 J, T2: 15.1, T3: 16.1 J), with post-hoc differences for T1-T2 and T1-T3.
A significant increase was found for the mean glenohumeral reaction force per push (T1: 315 N, T2: 419 N, T3: 439 N) with post-hoc differences for T1-T2 and T1-T3. This increase per push also resulted in an increased mean glenohumeral force per cycle (T1: 239 N, T2: 266 N, T3: 277 N), with post-hoc differences again seen between T1-T2 and T1-T3 (Table 3). The peak glenohumeral reaction force did not significantly increase over time (T1: 690 N, T2: 790 N, T3: 901 N).
Effect of motor learning on individual muscle activity
Relative muscle activity
Individual differences in learning
Because of practice an increase was found in mechanical efficiency over time, indicating that overall less energy was used to maintain a constant speed and power output in the wheelchair on the motor driven treadmill. A concomitant change in propulsion technique was expressed in a reduced push frequency and increased amount of work per push, performed over a larger contact angle with reduced power losses before and after a push, where mean and peak total force in the push remained constant over time. Simultaneously, the fraction effective force increased, indicating a more tangential direction of the applied forces around the wheel-axle. Contrary to our expectations, the above-mentioned propulsion technique changes were found together with an increased net moment, increased total muscle power and increased total muscle work around the glenohumeral shoulder joint. Consequently, this resulted in higher local strains in the shoulder complex as expressed in higher mean and peak glenohumeral reaction forces during both the push-phase as well as the full propulsion-cycle over time.
The current study evaluated the same motor learning process of a steady-state cyclical task on three distinct levels of task execution; the mechanical efficiency encompasses the whole body physiological outcome, the propulsion technique reflects the wheelchair-user interaction at the hand and handrim and the DSEM gives the most detailed description of changes on the level of the shoulder complex. The relations among these three levels are discussed below in the context of the constant experimental conditions and task of maintaining an average power output (0.2 W/kg) and treadmill speed (1.11 m/s) over time; given this common task different relations can be presumed among the different outcomes of these different levels of measurement.
Effect of motor learning on mechanical efficiency and propulsion technique
The increased mechanical efficiency indicates a more optimal task performance, i.e. energy efficient changes within the body as a consequence of task execution characteristics, among others propulsion technique. The propulsion technique changes that were previously reported to relate most to the increased mechanical efficiency over the initial 12 minutes indeed changed in the current study, i.e. a reduced negative work per cycle, an increased contact angle, an increased work per cycle and consequently a reduced push frequency .
In other cyclical tasks the reduced energy cost also coincided with an increase in movement amplitude and a decrease of movement frequency, described as a longer-slower movement pattern [31-35]. Similar to those observations the reduction of the push frequency as a consequence of motor learning is thought to be key to all other propulsion technique changes seen in this cyclic synchronous upper body task : it reduces the repetitiveness of arm motions, which leads to less moments of peak strain and less negative work because of the reduction of the number of (de)coupling of the hands onto the handrim per time unit. An additional increase in movement amplitude and performed work might have been achieved by use of the trunk muscles . However, no increase of trunk motion, i.e. no increase in GH displacement in the sagittal plane, was observed with practice. Possibly, in this early phase of learning the users are still solving the control problem of wheelchair propulsion by maintaining a fairly rigid trunk orientation, instead of already fully using the movement amplitude of the trunk as can be observed in more trained wheelchair-users with adequate trunk control .
The Fraction effective Force increased on average 5% between T1 and T3 in the current experiment, which indicates a more tangential orientation of the total force vector of the hand on the rim. This is more than in our previous study on natural learning of handrim propulsion , where in a larger group only an increase of 2% was found. As this increase is the consequence of non-instructed natural motor learning, this change in FeF is seen as beneficial because less non-propulsive force needs to be applied.
Effect of motor learning on shoulder complex loading
Contrary to our expectations, the mean net moment per push of the external force around the glenohumeral joint increased over time, indicating a higher load on the shoulder complex. This implies that the force of the hand on the handrim increased in vector length and/or in moment arm with respect to the glenohumeral joint over time. However, no changes in mean or peak total force of the hand on the handrim were found over time. Therefore, the change in the mean net moment is mainly attributed to changes in moment arm, which is in accordance with the observed increase of the fraction effective force. Another potential factor that might have influenced the moment arm is the position of the glenohumeral joint with respect to the external applied force, but no changes were found in the position or displacement of the glenohumeral joint over time.
Following the same trend as the net moments, the total muscle power and total muscle work around the glenohumeral shoulder joint increased with practice. Given the reduced push frequency, by definition an increased work per push on the wheel is necessary to maintain power output . From our results the increase in total muscle work is larger then the increase in work per push at the wheel. Possibly, for an increase in positive work of the muscles extra work is necessary to stabilize the joint, since the shoulder joint unlike the hip needs more active muscle control for joint stability .
The higher estimated muscle activity, as expressed by the increased muscle power and muscle work, resulted in higher mean glenohumeral reaction forces during both the push-phase and the whole push-cycle over time. The average glenohumeral peak force at T3 was around 900 N, which is in accordance with previously reported values .
The net moments and the joint reaction force of the glenohumeral joint showed a moderately strong linear relationship. This was previously reported for abduction in static tasks  with a fairly similar slope (33.4 vs. 35.3), but with a different intercept (112.1 N vs. 8.12 N). The net glenohumeral joint moment appears to be a good indicator for mechanical load in the glenohumeral joint for the dynamic wheelchair propulsion task.
Effect of motor learning on individual muscle activity
The activity of the triceps in this group of young able-bodied novices is higher than reported in an EMG study during this initial phase of learning on an ergometer  and also higher than reported in more experienced users [3,42]. The triceps as a group have the highest physiological cross sectional area of all muscles and during this initial phase of learning appear to be the prime muscle power producers .
The rotator-cuff muscles subscapularis, infraspinatus and supraspinatus, three prime stabilizers of the glenohumeral joint, are highly active during the push phase, especially relative to their limited muscle mass; their activity is comparable to the activity reported by other studies with more experienced users [3,42]. Moreover, because of practice even an increase in the supraspinatus activity is seen that contributes to positive power. The only other muscle that significantly increased in mean force over time and contributed to positive power is the serratus anterior. Even though no significant change in power of the serratus anterior was shown, it is a muscle that at T1 had a mean negative power and at T2 and T3 a mean positive power. The muscle helps to protract the scapula around the thorax and might depending on the timing be able to deliver more positive power.
An increase in biceps and decrease in brachialis activity was observed with practice. Both deliver negative power around the elbow, i.e. increase in muscle length, but the biceps also has an important contribution to counteract the net moment around the shoulder (Figure 5). The negative power contributions of the elbow flexors are in line with the previously stated suggestions for a low mechanical efficiency . Although increased biceps activity might have helped with the more tangential force direction, because the negative power observed in the biceps allows the direction of the external force to come closer to or cross over the elbow, its function can be described as a balance between cost and effect, since the mechanically required and biomechanically preferred force directions are not in accordance with each other .
An increase in the power of the pectoralis major was found with practice, with a trend of increased muscle force. Also in other studies the pectoralis major was shown to be one of the major power contributors [42,46,47]. Finally, the contribution of the clavicular part of the deltoideus was very low in these novice wheelchair-users, while previously this was reported to be a main contributor [41,42,46].
Individual differences in learning
Little is known about the upper-body strain of wheelchair propulsion during the initial stages of wheelchair propulsion during rehabilitation, while at the same time shoulder pain is already present at the start of active rehabilitation  and at discharge was recently reported as high as 39% of 138 of persons with a newly acquired spinal cord . The inexperienced able-bodied group in the current study showed a high load on the rotator-cuff muscles subscapularis, infraspinatus and supraspinatus, possibly placing them at risk for over-use injury. Novice wheelchair-users during rehabilitation that are still recovering from the recent trauma are expected to be more vulnerable and although the chosen intensity had low impact on the cardio-respiratory system it may cause a high local risk for overuse of the rotator-cuff muscles already in the very first stage of rehabilitation wheelchair practice. Moreover, with practice the load on the shoulder complex increased instead of reduced. Therefore the design of practice interventions aimed at improving propulsion technique and physical capacity should be evaluated on their impact on the shoulder, balancing stress and recovery.
Continued practice over a longer time scale by able-bodied participants [8-17] and by wheelchair-dependent persons  has been shown to further improve mechanical efficiency and propulsion technique, however the findings of the current study emphasize the need to further explore the consequences of motor learning and possible physical adaptations for the local strain on the shoulder complex, using a combination of modeling, kinematics and kinetics. In addition to wheelchair practice aimed at improving the skill of wheelchair users, the provision of shoulder strengthening and handcycling exercises might improve the strength as well as the muscle imbalance of the shoulder muscles to possibly protect them from overuse injury [60-62].
The Delft shoulder model does not individualize to the anthropometrics of an individual but translates the measured values onto a cadaver based model. Although the values of the model showed reasonable agreement with EMG and an instrumented shoulder joint [18,63], the absolute values should be taken with caution. Fortunately the entire data recording was done in a single session, so each next trial was performed with the same placement of technical markers and calibrations of the measurement devices. Therefore, the same input was used on the same model to say something about change over time on a group level.
Over the first 12 minutes of practice naive able-bodied participants increased their mechanical efficiency, indicating that less energy was used to maintain a constant speed and power output. A change in propulsion technique was shown by a reduced push frequency and increased work per push, performed over a larger contact angle with reduced power losses before and after a push and a more tangentially applied force. Contrary to our expectations, the above-mentioned propulsion technique changes were found together with an increased net moment, increased total muscle power and increased total muscle work around the glenohumeral joint. Consequently, this resulted in higher mean and peak glenohumeral reaction forces. This could be due to the early learning phase where participants still have to learn to effectively use the full movement amplitude available within the wheelchair-user combination. Apparently whole body energy efficiency has priority over mechanical loading in early stages of learning to propel a handrim wheelchair.
aForcelink b.v, Culemborg The Netherlands.
bDouble Performance BV, Gouda, The Netherlands.
cThree Rivers Holdings, Mesa, AZ, USA.
dMAX Mobility, LLC, Antioch, TN, USA.
eOxycon Pro-Delta, Jaeger, Hoechberg, Germany.
First, we like to thank the participants for their cooperation. Second, we like to thank the bachelor and master students of the Center for Human Movement Sciences, University Medical Center Groningen, for their experimental involvement in the intervention studies. Finally, we like to thank the Technical Department of the Center for Human Movement Sciences for their assistance with the measurement devices.
- Janssen TW, van Oers CA, van der Woude LH, Hollander AP. Physical strain in daily life of wheelchair users with spinal cord injuries. Med Sci Sports Exerc. 1994;26:661–70.View ArticlePubMedGoogle Scholar
- Curtis KA, Drysdale GA, Lanza RD, Kolber M, Vitolo RS, West R. Shoulder pain in wheelchair users with tetraplegia and paraplegia. Arch Phys Med Rehabil. 1999;80:453–7.View ArticlePubMedGoogle Scholar
- Veeger HE, Rozendaal LA, van der Helm FC. Load on the shoulder in low intensity wheelchair propulsion. Clin Biomech (Bristol, Avon). 2002;17:211–8.View ArticleGoogle Scholar
- Subbarao JV, Klopfstein J, Turpin R. Prevalence and impact of wrist and shoulder pain in patients with spinal cord injury. J Spinal Cord Med. 1995;18:9–13.PubMedGoogle Scholar
- Ballinger DA, Rintala DH, Hart KA. The relation of shoulder pain and range-of-motion problems to functional limitations, disability, and perceived health of men with spinal cord injury: a multifaceted longitudinal study. Arch Phys Med Rehabil. 2000;81:1575–81.View ArticlePubMedGoogle Scholar
- Pentland WE, Pentland WE. Upper limb function in persons with long term paraplegia and implications for independence: Part II. Paraplegia. 1994;32:219–24.View ArticlePubMedGoogle Scholar
- Pentland WE, Twomey LT. Upper limb function in persons with long term paraplegia and implications for independence: part I. Paraplegia. 1994;32:211–8.View ArticlePubMedGoogle Scholar
- De Groot S, Veeger DH, Hollander AP, Van der Woude LH. Wheelchair propulsion technique and mechanical efficiency after 3 wk of practice. Med Sci Sports Exerc. 2002;34:756–66.View ArticlePubMedGoogle Scholar
- de Groot S, Veeger HE, Hollander AP, van der Woude LH. Influence of task complexity on mechanical efficiency and propulsion technique during learning of hand rim wheelchair propulsion. Med Eng Phys. 2005;27:41–9.View ArticlePubMedGoogle Scholar
- de Groot S, de Bruin M, Noomen SP, van der Woude LH. Mechanical efficiency and propulsion technique after 7 weeks of low-intensity wheelchair training. Clin Biomech (Bristol, Avon). 2008;23:434–41.View ArticleGoogle Scholar
- Van Den Berg R, De Groot S, Swart KM, Van Der Woude LH. Physical capacity after 7 weeks of low-intensity wheelchair training. Disabil Rehabil. 2010;32:2244–52.View ArticlePubMedGoogle Scholar
- Lenton JP, Van Der Woude LHV, Fowler NE, Goosey-Tolfrey V. Effects of 4-weeks of asynchronous hand-rim wheelchair practice on mechanical efficiency and timing. Disabil Rehabil. 2010;0:1–10.Google Scholar
- Goosey-Tolfrey VL, West M, Lenton JP, Tolfrey K. Influence of varied tempo music on wheelchair mechanical efficiency following 3-week practice. Int J Sports Med. 2011;32:126–31.View ArticlePubMedGoogle Scholar
- Yao WX, Cordova A, De Sola W, Hart C, Yan AF. The effect of variable practice on wheelchair propulsive efficiency and propulsive timing. Eur J Phys Rehabil Med. 2012;48:209–16.PubMedGoogle Scholar
- Yao WXW, DeSola WW, Bi ZCZ. Variable practice versus constant practice in the acquisition of wheelchair propulsive speeds. Percept Mot Skills. 2009;109:133–9.View ArticlePubMedGoogle Scholar
- Vegter RJK, Lamoth CJ, de Groot S, Veeger DHEJ, van der Woude LHV. Inter-individual differences in the initial 80 minutes of motor learning of handrim wheelchair propulsion. PLoS One. 2014;9:e89729.View ArticlePubMed CentralPubMedGoogle Scholar
- Vegter RJK, de Groot S, Lamoth CJ, Veeger DH, van der Woude LHV. Initial skill acquisition of handrim wheelchair propulsion: a New perspective. IEEE Trans Neural Syst Rehabil Eng. 2014;22:104–13.View ArticleGoogle Scholar
- Nikooyan AA, Veeger HEJ, Chadwick EKJ, Praagman M, Helm FCTvd. Development of a Comprehensive Musculoskeletal Model of the Shoulder and Elbow. In: Book Development of a Comprehensive Musculoskeletal Model of the Shoulder and Elbow (Editor ed.^eds.). City, 2011. p. 1425–35.Google Scholar
- Arnet U, van Drongelen S, Scheel-Sailer A, van der Woude LH, Veeger DH. Shoulder load during synchronous handcycling and handrim wheelchair propulsion in persons with paraplegia. J Rehabil Med. 2012;44:222–8.View ArticlePubMedGoogle Scholar
- Bayley JC, Cochran TP, Sledge CB. The weight-bearing shoulder. The impingement syndrome in paraplegics. J Bone Joint Surg. 1987;69:676–8.PubMedGoogle Scholar
- Van Drongelen S, Van der Woude LH, Janssen TW, Angenot EL, Chadwick EK, Veeger DH. Mechanical load on the upper extremity during wheelchair activities. Arch Phys Med Rehabil. 2005;86:1214–20.View ArticlePubMedGoogle Scholar
- van Drongelen S, van der Woude LH, Janssen TW, Angenot EL, Chadwick EK, Veeger DH. Glenohumeral contact forces and muscle forces evaluated in wheelchair-related activities of daily living in able-bodied subjects versus subjects with paraplegia and tetraplegia. Arch Phys Med Rehabil. 2005;86:1434–40.View ArticlePubMedGoogle Scholar
- Veeger D, van der Woude LH, Rozendal RH. The effect of rear wheel camber in manual wheelchair propulsion. J Rehabil Res Dev. 1989;26:37–46.PubMedGoogle Scholar
- van der Woude LH, de Groot G, Hollander AP, van Ingen Schenau GJ, Rozendal RH. Wheelchair ergonomics and physiological testing of prototypes. Ergonomics. 1986;29:1561–73.View ArticlePubMedGoogle Scholar
- Garby L, Astrup A. The relationship between the respiratory quotient and the energy equivalent of oxygen during simultaneous glucose and lipid oxidation and lipogenesis. Acta Physiol Scand. 1987;129:443–4.View ArticlePubMedGoogle Scholar
- Vegter RJ, Lamoth CJ, de Groot S, Veeger DH, van der Woude LH. Variability in bimanual wheelchair propulsion: consistency of two instrumented wheels during handrim wheelchair propulsion on a motor driven treadmill. J Neuroeng Rehabil. 2013;10:9.View ArticlePubMed CentralPubMedGoogle Scholar
- Wu G, van der Helm FC, Veeger HE, Makhsous M, Van Roy P, Anglin C, et al. ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion–Part II: shoulder, elbow, wrist and hand. J Biomech. 2005;38:981–92.View ArticlePubMedGoogle Scholar
- Meskers CG, van der Helm FCFC, Rozendaal LA, Rozing PM. In vivo estimation of the glenohumeral joint rotation center from scapular bony landmarks by linear regression. J Biomech. 1998;31:93–6.View ArticlePubMedGoogle Scholar
- Klein Breteler MD, Spoor CW, Van der Helm FCFC. Measuring muscle and joint geometry parameters of a shoulder for modeling purposes. J Biomech. 1999;32:1191–7.View ArticlePubMedGoogle Scholar
- Praagman M, Chadwick EKJ, van der Helm FCT, Veeger HEJ. The relationship between two different mechanical cost functions and muscle oxygen consumption. J Biomech. 2006;39:758–65.View ArticlePubMedGoogle Scholar
- Lay BS, Sparrow WA, Hughes KM, O'Dwyer NJ. Practice effects on coordination and control, metabolic energy expenditure, and muscle activation. Hum Mov Sci. 2002;21:807–30.View ArticlePubMedGoogle Scholar
- Galna B, Sparrow WA. Learning to minimize energy costs and maximize mechanical work in a bimanual coordination task. J Mot Behav. 2006;38:411–22.View ArticlePubMedGoogle Scholar
- Sparrow WA, Newell KM. Energy expenditure and motor performance relationships in humans learning a motor task. Psychophysiology. 1994;31:338–46.View ArticlePubMedGoogle Scholar
- Sparrow WA, Irizarry Lopez VM. Mechanical efficiency and metabolic cost as measures of learning a novel gross motor task. J Mot Behav. 1987;19:240–64.View ArticlePubMedGoogle Scholar
- Almasbakk B, Whiting HT, Helgerud J. The efficient learner. Biol Cybern. 2001;84:75–83.View ArticlePubMedGoogle Scholar
- Consortium_for_Spinal_Cord_Medicine: Preservation of upper limb function following spinal cord injury: a clinical practice guideline for health-care professionals. Washington DC: Paralyzed Veterans of America; 2005.Google Scholar
- Guo L-Y, Su F-C, Wu H-W, An K-N. Mechanical energy and power flow of the upper extremity in manual wheelchair propulsion. Clin Biomech. 2003;18:106–14.View ArticleGoogle Scholar
- Rodgers MM, Keyser RE, Rasch EK, Gorman PH, Russell PJ. Influence of training on biomechanics of wheelchair propulsion. J Rehabil Res Dev. 2001;38:505–11.PubMedGoogle Scholar
- Veeger HE, van der Helm FC. Shoulder function: the perfect compromise between mobility and stability. J Biomech. 2007;40:2119–29.View ArticlePubMedGoogle Scholar
- Praagman M, Stokdijk M, Veeger HE, Visser B. Predicting mechanical load of the glenohumeral joint, using net joint moments. Clin Biomech. 2000;15:315–21.View ArticleGoogle Scholar
- de Groot S, Veeger HE, Hollander AP, van der Woude LH. Short-term adaptations in co-ordination during the initial phase of learning manual wheelchair propulsion. J Electromyogr Kinesiol. 2003;13:217–28.View ArticlePubMedGoogle Scholar
- Rankin JW, Richter WM, Neptune RR. Individual muscle contributions to push and recovery subtasks during wheelchair propulsion. J Biomech. 2011;44:1246–52.View ArticlePubMed CentralPubMedGoogle Scholar
- Veeger HE, Van der Helm FCFC, Van der Woude LHLH, Pronk GM, Rozendal RH. Inertia and muscle contraction parameters for musculoskeletal modelling of the shoulder mechanism. J Biomech. 1991;24:615–29.View ArticlePubMedGoogle Scholar
- Veeger HE, van der Woude LH, Rozendal RH. Effect of handrim velocity on mechanical efficiency in wheelchair propulsion. Med Sci Sports Exerc. 1992;24:100–7.View ArticlePubMedGoogle Scholar
- Rozendaal LA, Veeger HE, van der Woude LH. The push force pattern in manual wheelchair propulsion as a balance between cost and effect. J Biomech. 2003;36:239–47.View ArticlePubMedGoogle Scholar
- Mulroy SJS, Farrokhi SS, Newsam CJC, Perry JJ. Effects of spinal cord injury level on the activity of shoulder muscles during wheelchair propulsion: an electromyographic study. Arch Phys Med Rehabil. 2004;85:925–34.View ArticlePubMedGoogle Scholar
- Mulroy SJ, Gronley JK, Newsam CJ, Perry J. Electromyographic activity of shoulder muscles during wheelchair propulsion by paraplegic persons. Arch Phys Med Rehabil. 1996;77:187–93.View ArticlePubMedGoogle Scholar
- Mason BS, Van Der Woude LH, Tolfrey K, Lenton JP, Goosey-Tolfrey VL. Effects of wheel and hand-rim size on submaximal propulsion in wheelchair athletes. Med Sci Sports Exerc. 2012;44:126–34.View ArticlePubMedGoogle Scholar
- Praagman M, Chadwick EKJ, van der Helm FCT, Veeger HEJ. The effect of elbow angle and external moment on load sharing of elbow muscles. J Electromyogr Kinesiol. 2010;20:912–22.View ArticlePubMedGoogle Scholar
- van der Woude LH, Bouw A, van Wegen J, van As H, Veeger D, de Groot S. Seat height: effects on submaximal hand rim wheelchair performance during spinal cord injury rehabilitation. J Rehabil Med. 2009;41:143–9.View ArticlePubMedGoogle Scholar
- Desroches G, Aissaoui R, Bourbonnais D. Effect of system tilt and seat-to-backrest angles on load sustained by shoulder during wheelchair propulsion. J Rehabil Res Dev. 2006;43:871–82.View ArticlePubMedGoogle Scholar
- Kotajarvi BR, Sabick MB, An KN, Zhao KD, Kaufman KR, Basford JR. The effect of seat position on wheelchair propulsion biomechanics. J Rehabil Res Dev. 2004;41:403–14.View ArticlePubMedGoogle Scholar
- Richter WM. The effect of seat position on manual wheelchair propulsion biomechanics: a quasi-static model-based approach. Med Eng Phys. 2001;23:707–12.View ArticlePubMedGoogle Scholar
- Boninger ML, Baldwin M, Cooper RA, Koontz A, Chan L. Manual wheelchair pushrim biomechanics and axle position. Arch Phys Med Rehabil. 2000;81:608–13.View ArticlePubMedGoogle Scholar
- van der Woude LH, Veeger DJ, Rozendal RH, Sargeant TJ. Seat height in handrim wheelchair propulsion. J Rehabil Res Dev. 1989;26:31–50.PubMedGoogle Scholar
- Sparrow W, Newell K. Metabolic energy expenditure and the regulation of movement economy. Psychon Bull Rev. 1998;5:173–96.View ArticleGoogle Scholar
- van Drongelen S, de Groot S, Veeger HE, Angenot EL, Dallmeijer AJ, Post MW, et al. Upper extremity musculoskeletal pain during and after rehabilitation in wheelchair-using persons with a spinal cord injury. Spinal Cord. 2006;44:152–9.View ArticlePubMedGoogle Scholar
- Eriks-Hoogland IE, de Groot S, Snoek G, Stucki G, Post M, van der Woude L. Shoulder pain and shoulder range of motion limitations in persons with SCI at discharge from inpatient rehabilitation and correlations with limitations in activities and participation at 5 years after discharge. University Medical Center Groningen: University of Groningen; 2014.Google Scholar
- de Groot S, Dallmeijer AJ, van Asbeck FW, Post MW, Bussmann JB, van der Woude L. Mechanical efficiency and wheelchair performance during and after spinal cord injury rehabilitation. Int J Sports Med. 2007;28:880–6.View ArticlePubMedGoogle Scholar
- Mulroy Sara JS. Strengthening and optimal movements for painful shoulders (STOMPS) in chronic spinal cord injury: a randomized controlled trial. Phys Ther. 2011;91:305–24.View ArticlePubMedGoogle Scholar
- Arnet Ursina U, van Drongelen S, Veeger HEJ, van der Woude LHV. Force application during handcycling and handrim wheelchair propulsion: an initial comparison. J Appl Biomech. 2013;29:687–95.PubMedGoogle Scholar
- Van Straaten MG, Cloud BA, Morrow MM, Ludewig PM, Zhao KD. Effectiveness of home exercise on pain, function, and strength of manual wheelchair users with spinal cord injury: a high-dose shoulder program with telerehabilitation. Arch Phys Med Rehabil. 2014;95:1810–1817.e1812.View ArticlePubMedGoogle Scholar
- Nikooyan AA, Veeger HEJ, Westerhoff P, Graichen F, Bergmann G, van der Helm FCT. Validation of the delft shoulder and elbow model using in-vivo glenohumeral joint contact forces. J Biomech. 2010;43:3007–14.View ArticlePubMedGoogle Scholar
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