Kinematics and temporospatial parameters during gait from inertial motion capture in adults with and without HIV: a validity and reliability study

Berner, Karina; Cockcroft, John R.; Louw, Quinette

doi:10.1186/s12938-020-00802-2

Cited by 13 publications

(11 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Raw data were automatically filtered using a robust fusion algorithm (Kalman filter) optimized for IMU data by the IMU software (myoRESEARCH 3.10, Noraxon, Scottsdale, AZ, USA). Four element quaternion values were derived by combining the elemental sensor component axes to estimate the angular offset of each sensor from the calibrated position in the global coordinate [ 14 , 15 ]. The knee flexion angle was automatically calculated using the biomechanical model adopted by the IMU system software.…”

Section: Methodsmentioning

confidence: 99%

Detection of Movement Events of Long-Track Speed Skating Using Wearable Inertial Sensors

Tomita

Iizuka

Irisawa

et al. 2021

Sensors

View full text Add to dashboard Cite

Inertial measurement units (IMUs) have been used increasingly to characterize long-track speed skating. We aimed to estimate the accuracy of IMUs for use in phase identification of long-track speed skating. Twelve healthy competitive athletes on a university long-track speed skating team participated in this study. Foot pressure, acceleration and knee joint angle were recorded during a 1000-m speed skating trial using the foot pressure system and IMUs. The foot contact and foot-off timing were identified using three methods (kinetic, acceleration and integrated detection) and the stance time was also calculated. Kinetic detection was used as the gold standard measure. Repeated analysis of variance, intra-class coefficients (ICCs) and Bland-Altman plots were used to estimate the extent of agreement between the detection methods. The stance time computed using the acceleration and integrated detection methods did not differ by more than 3.6% from the gold standard measure. The ICCs ranged between 0.657 and 0.927 for the acceleration detection method and 0.700 and 0.948 for the integrated detection method. The limits of agreement were between 90.1% and 96.1% for the average stance time. Phase identification using acceleration and integrated detection methods is valid for evaluating the kinematic characteristics during long-track speed skating.

show abstract

Section: Methodsmentioning

confidence: 99%

Detection of Movement Events of Long-Track Speed Skating Using Wearable Inertial Sensors

Tomita

Iizuka

Irisawa

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…The magnitude of angular differences between-groups was small. However, the differences all exceeded measurement errors of the 3DGA system [ 18 ]. The EGVI calculation requires a minimum of 5 absolute differences [ 8 , 25 ], which necessitated the exclusion of some datasets.…”

Section: Discussionmentioning

confidence: 99%

“…A wireless, portable inertial motion capture (IMC) system (myoMOTION Research Pro; Noraxon USA Inc.) was used to capture walking biomechanics (28 lower limb kinematics and 15 time-space parameters [TSPs] [ 18 ], which may be affected in elderly or fall-prone gait [ 19–24 ]). Seven inertial measurement units (IMUs) were placed on body segments according to a rigid lower body model provided by the system.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Mobility Deviations in Adults With Human Immunodeficiency Virus: A Cross-Sectional Assessment Using Gait Analysis, Functional Performance, and Self-Report

Berner

Gouelle

Strijdom

et al. 2021

Open Forum Infectious Diseases

Self Cite

View full text Add to dashboard Cite

Background Little is known about how HIV affects walking biomechanics, or about associations between HIV-related gait deviations, functional performance and self-reported outcomes. This paper reports on gait biomechanics and -variability in people with HIV (PWH), and associations with clinical tests, self-reported function and falls. Methods A cross-sectional study tested consecutively-sampled PWH (n=50) and HIV-seronegative participants (SNP, n=50). Participants underwent three-dimensional gait analysis, performed clinical tests (short walk- and single leg stance tests with and without dual tasking, chair-rise tests and a physical performance battery), and completed questionnaires about function and falls. Between-group comparisons were done using analysis of covariance. Linear correlations between gait variability, clinical tests and patient-reported outcomes were established. Results PWH and SNP had comparable median ages (PWH 36.6 [IQR 32.0–45.6], SNP 31.1 [23.2–45.1]). Compared with SNP, PWH walked slower (adjusted mean difference [MD]=-0.2 m/s, 95% CI=-0.3; -0.1) with greater variability (adjusted MD=14.7, 95% CI=9.9; 19.5). Moreover, PWH were slower in five-times sit-to-stand (5STS) performance (adjusted MD=1.9 seconds, 95% CI=1.00; 2.9). Significant deviations in hip kinematics (increased flexion; adjusted MDs=2.4°–2.8°, P=.012–.016), and knee kinematics (reduced flexion; adjusted MDs=2.3°–3.7°, P=.007–.027) were found in PWH during dual task walking. PWH’s 5STS moderately correlated with larger gait variability (usual pace r=-0.5; dual task r=-0.6), poorer self-reported mobility- (r=0.4) and self-care function (r=0.5), and fear of falling (P=.003). Conclusions PWH presented with biomechanical deviations suggestive of a slowed and variable gait, especially under cognitive challenges. Five-times STS may be useful to screen for gait deviations in PWH.

show abstract

“…The joint angles at the anatomical position were recorded for 15 s and used as the offset base for other walking trials. This myoMotion system has been used to measure the joint angles during standing and gait ( 22 – 24 ) because the IMU-based system has the advantages of being low in cost, easy to set up, and portable ( 25 ). However, its validity and reliability might be questionable ( 24 ).…”

Section: Methodsmentioning

confidence: 99%

The Effect of Inclines on Joint Angles in Stroke Survivors During Treadmill Walking

Xin

Chien³

et al. 2022

Front. Neurol.

View full text Add to dashboard Cite

Stroke severely affects the quality of life, specifically in walking independently. Thus, it is crucial to understand the impaired gait pattern. This gait pattern has been widely investigated when walking on a level treadmill. However, knowledge about the gait pattern when walking on inclines is scarce. Therefore, this study attempted to fulfill this knowledge gap. In this study, 15 stroke survivors and 15 age/height/weight healthy controls were recruited. The participants were instructed to walk on three different inclines: 0°, 3°, and 6°. The participants were required to walk on each incline for 2 min and needed to complete each incline two times. The dependent variables were the peak values for ankle/knee/hip joint angles and the respective variability of these peak values. The results showed that an increment of the incline significantly increased the peak of the hip flexion and the peak of the knee flexion but did not affect the peak values of the ankle joints in the paretic leg in these stroke survivors. In comparison with the healthy controls, lower hip extension, lower hip flexion, lower knee flexion, and lower ankle plantar flexion were observed in stroke survivors. A clinical application of this work might assist the physical therapists in building an effective treadmill training protocol.

show abstract

Kinematics and temporospatial parameters during gait from inertial motion capture in adults with and without HIV: a validity and reliability study

Cited by 13 publications

References 51 publications

Detection of Movement Events of Long-Track Speed Skating Using Wearable Inertial Sensors

Detection of Movement Events of Long-Track Speed Skating Using Wearable Inertial Sensors

Mobility Deviations in Adults With Human Immunodeficiency Virus: A Cross-Sectional Assessment Using Gait Analysis, Functional Performance, and Self-Report

The Effect of Inclines on Joint Angles in Stroke Survivors During Treadmill Walking

Contact Info

Product

Resources

About