Unilateral peripheral vestibular disorder (UPVD) negatively affects upper and lower body motor performance, but postural control during quiet stance in UPVD patients has not been directly compared with dynamic stability control after an unexpected perturbation during locomotion. We analysed centre of pressure (COP) characteristics during static posturography in UPVD patients and healthy controls and compared this with performance of a trip recovery task. 17 UPVD patients and 17 healthy controls were unexpectedly tripped while walking on a treadmill. The margin of stability (MoS) was calculated at touchdown (TD) of the perturbed step and the first six recovery steps. Posturography was used to assess postural stability during 30 seconds of standing with eyes open and closed using a force plate. The trip reduced the MoS of the perturbed leg (p<0.05) with no significant differences in MoS between the groups. Controls returned to MoS baseline level in five steps and patients did not return within the six steps. UPVD patients showed a greater total COP sway path excursion (closed eyes only), anterior-posterior range of COP distance and a more posterior COP position in relation to the posterior boundary of the base of support. There were no significant correlations between COP sway path excursion and MoS values. We concluded that UPVD patients have a diminished ability to control and recover dynamic gait stability after an unexpected trip and lower static postural stability control compared to healthy matched controls, but that trip recovery and static postural control rely on different control mechanisms.
A popular method for measuring initial contact (foot-strike) during running is the force platform. It has been proposed that the foot contact events can be estimated using peak impact related accelerations of the leg using accelerometers. Various studies have been conducted to compare force platform and accelerometer methods in walking and running. The aim of this study was to develop a method for identifying peak impact accelerations in the anterior- posterior axis using the Delsys Trigno System during running and compare this with initial contact via force plates. Seven national and international sprinters completed runs across a force platform with an accelerometer fixed to their shin. The results showed the acceleration of the anterior-posterior axis approximated foot-strike within ±0.017 s of the foot-strike event detected by the force plate.
The purpose of this study was to investigate how a newly proposed method of stride time calculation, utilising data filtered at 2 Hz, compared to previous methods. Tibial accelerometry data for 6 participants completing half marathon running training were collected. One run was selected for each participant at random, from which five consecutive running strides were ascertained. Four calculation methods were employed to derive each stride time and results were compared. No significant difference was found between methods (p=1.00). The absolute difference in stride time, when comparing the proposed method to previous methods, ranged from 0.000 seconds to 0.039 seconds. Filtered data could offer a simplified technique for stride time output during running gait analysis, particularly when applied during automated data processing for large data sets.
Background: Gait abnormalities can influence surgical outcomes in people with severe knee osteoarthritis (OA) and thus a thorough understanding of gait abnormalities in these people prior to arthroplasty is important. Varus-valgus thrust is a characteristic linked to OA disease progression that has not yet been investigated in a cohort with severe knee OA awaiting knee arthroplasty. The aims of this study were to determine i) prevalence of varus and valgus thrust in a cohort with severe knee OA compared to an asymptomatic group, ii) whether the thrust magnitude differed between these groups iii) differences between varus and valgus thrusters within the OA cohort and iv) whether certain measures could predict thrust in the OA cohort.
Methods: 40 patients with severe knee OA scheduled for primary TKR and 40 asymptomatic participants were recruited. Three-dimensional gait analysis was performed on all participants, with the primary biomechanical measures of interest being: varus and valgus thrust, knee adduction angle, peak KAM, and KAM impulse. Additionally, static knee alignment and quadriceps strength were assessed in the subgroup with knee OA.
Findings: No difference was found in the prevalence of varus and valgus thrust between the severe OA and control groups (Pearson chi-square = 3.735, p value = 0.151). The OA varus thrust group had a significantly higher peak KAM (p=0.000), KAM impulse (p=0.001), static alignment (p=0.021), and lower quadriceps strength (p=0.041) than the valgus thrust group. Peak KAM and quadriceps strength were found to explain 34.9% of the variation in maximum thrust, such that an increase in KAM and a decrease in quadriceps strength were associated with an increase in maximum (varus) thrust.
Interpretation: Few differences between the severe OA and control groups were seen, however dichotomizing the groups into varus and valgus cohorts revealed a number of biomechanical differences. Patients with severe OA are often treated as a homogenous cohort; however, by classifying which individuals have a varus or valgus thrust, we have identified a subset of patients with poorer biomechanics who could potentially be at a higher risk of a worse outcome after surgery.
The purpose of this study was to investigate stride rate (SR) dynamics of a recreational runner participating in his debut marathon. Tibial accelerometry data obtained during a half marathon (R1) and marathon (R2) were utilised. SR data were extracted utilising novel computational methods and descriptive statistics were utilised for analysis of R2, and comparison of the first half of the marathon (R2half) to R1. Results indicate that the participant employed comparable SR strategy in R1 and R2half. For R2 a combined decreasing trend in SR and increased variance in SR from 30 km (R2 =0.0238) was observed. Results indicate that the participant had the ability to maintain SR strategy for the first half of the marathon, however as fatigue onset occurred this ability decreased. Running strategies on SR during fatigue may be of future use to recreational runners.
Healthy standing posture is characterized by the ability to interact with a changing environment while maintaining upright stance. Being adaptable to changing environments affords flexibility and allows the system to encounter novel environments without losing control of posture. The purpose of this research was to determine if stroke survivors could adapt to support surface translations with differing temporal structures.
Methods: Eight stroke survivors participated in this research. Participants stood on a force platform on the Neurocom Balance Manager (Neurocom Intl., Clackamas, OR, USA). The support surface was translated in the anteroposterior direction according to waveforms with different temporal structures, this included white noise, pink noise, brown noise, and a sine wave. They also performed a normal standing trial where the platform did not move. Root mean square and detrended fluctuation analysis of the center of pressure signal were calculated to determine amount and temporal structure of variability respectively.
Results: During normal standing the stroke survivors’ posture exhibited lack of adaptability. The stroke survivors had increased amount of variability in all conditions compared to normal standing, regardless of the inherent structure of the support surface translations. The temporal structure of variability indicated weakened long-range correlations in all conditions compared to normal standing. This indicates that regardless of the temporal structure of the support surface movement the amount of movement increased while the structure of movement became more random.
Previous work has demonstrated that healthy posture is able to adapt to the temporal structure of support surface translations, this adaptability was not seen in a population of stroke survivors. This lack of adaptability makes interactions with environmental perturbations difficult and impacts functionality. Focusing rehabilitation protocols towards regaining healthy temporal structures in postural control could improve functionality in chronic stroke survivors.
The shoulder complex affords multiple opportunities for kinematic and muscular variability during repetitive work, which could change physical exposure and risk at work. The purpose of this study was to examine kinematic and muscular adaptations during continued performance of submaximal, repetitive work following a fatiguing protocol.
Participants (n=12) completed a sequence of three protocols: (1) 20 pre-fatigue work cycles, (2) anterior deltoid fatigue protocol, (3) 60 post-fatigue work cycles. Each work cycle was 60 seconds and consisted of 4 tasks. Reaction forces and moments were recorded with a 6DOF force sensor (MC3-500, AMTI, Watertown, MA, USA) during the work tasks. The fatigue protocol consisted of static and dynamic efforts targeting the anterior deltoid. Fatigue was quantified through changes in strength, RPE and EMG frequency and amplitude. Activity of 14 muscles of the upper extremity and torso were measured with surface electrodes and kinematics were tracked with a passive motion capture system, 30 reflective markers and a scapular tracker.
Immediately following the fatigue protocol, there were significant signs of muscle fatigue and reduced physical capacity. These changes were accompanied by significant muscular and kinematic adaptations in the work tasks during the post-fatigue work cycles (p<.05). Although these adaptations allowed for recovery in some muscles, fatigue persisted and developed in other muscles by the end of the post-fatigue work cycles, despite subjective ratings of perceived exertions returning to pre-fatigue levels. If people are unable to perceive negative behavioral changes during repetitive work, they may be at greater risk of developing workplace injuries.
Anterior tibial translation (ATT) is shown to load the anterior cruciate ligament (ACL) as the knee transitions from non-weight bearing (NWB) to weight bearing (WB). Therefore, any factors able to effectively reduce ATT during initial WB would theoretically reduce ACL loading. This study evaluated the extent to which hamstring musculo-articular stiffness (KHAM) is associated with ATT as the knee transitions from NWB to WB in 10 healthy females (19.9 ± 1.5 yrs, 1.65 ± 0.06 m, 62.3 ± 6.3 kg). Linear regression revealed that KHAM predicted 48.6% of the variance in ATT (R^2 = .486, p = .025), with higher KHAM being associated with less ATT. KHAM is modifiable through training, and thus may be an important factor to consider from ACL injury prevention and rehabilitation perspectives.
BACKROUND: Recent developments in modelling have made it easier to use muscle force predictions to augment clinical gait analysis and enhance clinical decision making. OpenSim claims to provide a straight forward, standardised pipeline (SimTrack) to predict muscle forces implemented in routine processing. This project aims to test SimTrack’s potential in the context of clinical gait analysis by developing a standardised protocol which compares predicted muscle forces with surface EMG at a range of walking speeds. METHODS: 10 healthy participants walked at 3 different speeds (comfortable, ±20%). Kinematics, kinetics and surface EMG of the lower limb were captured. Joint angles and ground reaction forces serve as inputs to predict muscle forces using computed muscle control (CMC) within SimTrack. Predicted muscle forces were compared with EMG to validate the model outputs. RESULTS: Agreement between force prediction and EMG varies between muscles. Some muscles show a general agreement and similar variation with walking speed, others show large unexpected differences between CMC outputs and observed EMG. DISCUSSION: These results suggest that this protocol is running in general. For most walking speeds, CMC muscle forces can be predicted within a timeframe appropriate for clinical purposes. However using the default settings, the model predictions do not agree with EMG measurements. Furthermore, during pilot testing of quicker walking speeds (up to +40%) CMC crashed due the chosen musculoskeletal model being too weak. These findings suggest the need of either different generic parameters or subject specific parameters to obtain valid results. Work is continuing to identify these.
Introduction: Running is a popular form of physical activity linked to various lower extremity injuries. A commonly used technique for injury prevention and rehabilitation is taping. There is considerable research investigating running biomechanics, however, there has been limited to no research examining the effects of gender, speed, and the type of tape used on two-dimensional lower extremity kinematics. Therefore, the purpose of this pilot study was to investigate the effects of gender, speed, and tape on two-dimensional lower extremity kinematics and stride characteristics during running.
Method: Eight healthy runners participated (4 males, 4 females). Taping interventions (Leukotape, Kinesio Tape, no tape) and speeds (2.35 m/s, 3.35 m/s) were randomized and lower extremity stride kinematics were obtained using the Peak Motus System at initial contact, midstance, and toe off of running. Comparisons were made using descriptive statistics.
Results: Females exhibited greater hip (FIC= 164.04+1.99°; MIC= 167.54+2.12°) and knee flexion (FIC= 167.73+0.93°; MIC= 170.42+1.65°; FPK= 142.83+1.28°; MPK= 146.35+1.21°), while males had greater ankle dorsiflexion (FIC= 88.60+1.00°; MIC= 84.14+1.08°) and plantarflexion (FTO= 51.90+1.01°; MTO= 55.99+0.825°). Females spent more time in support (FCT= 0.28+0.03s; MCT= 0.26+0.02s) while males spent more time in the air (FFT= 0.45+0.02s; MFT= 0.48+0.01s). Faster speed was associated with greater hip flexion and extension (SIC= 167.57+1.95°; FIC= 164.01+2.11°; STO= 197.14+1.23°; FTO= 201.28+0.74°), peak knee flexion (SPK= 145.39+1.82°; FPK= 143.79+2.39°), and less time during contact (SIC = 0.30+0.01s; FIC= 0.25+0.00s).
Conclusion: Gender and speed seem to have effects on lower extremity stride kinematics, whereas type of tape does not.