Movement Quality Parameters during Gait Assessed by a Single Accelerometer in Subjects with Osteoarthritis and Following Total Joint Arthroplasty

Emmerzaal, Jill; Corten, Kristoff; Straaten, Rob van der; Baets, Liesbet De; Rossom, Sam Van; Timmermans, Annick; Jonkers, Ilse; Vanwanseele, Benedicte

doi:10.3390/s22082955

Cited by 10 publications

(16 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The present study shows that inertial sensors and non-linear analysis are valuable tools for characterizing movement quality changes during the recovery after TKA, in accordance with previous studies [ 6 , 7 , 8 ]. In addition, given the fact that inertial sensors can easily be used in a comfortable way in almost every environment [ 5 ], they are helpful in monitoring recovery after TKA in clinical settings, such as physical therapy.…”

Section: Discussionsupporting

confidence: 92%

Inertial-Sensor-Based Monitoring of Sample Entropy and Peak Frequency Changes in Treadmill Walking during Recovery after Total Knee Arthroplasty

Ven

Bosga

Hullegie³

et al. 2023

Sensors

View full text Add to dashboard Cite

This study aimed to investigate whether sample entropy (SEn) and peak frequency values observed in treadmill walking could provide physical therapists valuable insights into gait rehabilitation following total knee arthroplasty (TKA). It was recognized that identifying movement strategies that during rehabilitation are initially adaptive but later start to hamper full recovery is critical to meet the clinical goals and minimize the risk of contralateral TKA. Eleven TKA patients were asked to perform clinical walking tests and a treadmill walking task at four different points in time (pre-TKA, 3, 6, and 12 months post-TKA). Eleven healthy peers served as the reference group. The movements of the legs were digitized with inertial sensors and SEn and peak frequency of the recorded rotational velocity–time functions were analyzed in the sagittal plane. SEn displayed a systematic increase during recovery in TKA patients (p < 0.001). Furthermore, lower peak frequency (p = 0.01) and sample entropy (p = 0.028) were found during recovery for the TKA leg. Movement strategies that initially are adaptive, and later hamper recovery, tend to diminish after 12 months post-TKA. It is concluded that inertial-sensor-based SEn and peak frequency analyses of treadmill walking enrich the assessment of movement rehabilitation after TKA.

show abstract

Section: Discussionsupporting

confidence: 92%

Inertial-Sensor-Based Monitoring of Sample Entropy and Peak Frequency Changes in Treadmill Walking during Recovery after Total Knee Arthroplasty

Ven

Bosga

Hullegie³

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…COPi lateral symmetry was found to significantly deviate from the central axis of the body due to the presence of HA. This asymmetric gait pattern resembles that of unilateral osteoarthritis patients reported previously 22,23 . In these reports, asymmetric gait patterns were regarded as compensatory alterations that could increase the risk of joint damage in other joints.…”

Section: Discussionsupporting

confidence: 73%

“…In these reports, asymmetric gait patterns were regarded as compensatory alterations that could increase the risk of joint damage in other joints. This is because abnormal mechanical loading is a risk factor for the onset and progression of OA 22 . In our study, patients with unilateral ankle arthropathy and bilateral knee arthropathy had significantly impaired gait symmetry (cases 2 and 10), whereas some patients with unilateral ankle arthropathy but no knee arthropathy had preserved gait symmetry (cases 6 and 8).…”

Section: Discussionmentioning

confidence: 54%

“…This asymmetric gait pattern resembles that of unilateral osteoarthritis patients reported previously. 22,23 In these reports, asymmetric gait patterns were regarded as compensatory alterations that could increase the risk of joint damage in other joints. This is because abnormal mechanical loading is a risk factor for the onset and progression of OA.…”

Section: Gait Asymmetry Analysismentioning

confidence: 99%

See 1 more Smart Citation

Force‐sensing treadmill gait analysis system can detect gait abnormalities in haemophilia patients without arthropathy

Mawarikado,

Sakata,

Inagaki

et al. 2024

Haemophilia

View full text Add to dashboard Cite

BackgroundJoint damage in patients with haemophilia (PwH) is commonly assessed by imaging, but few reports have described how structural changes in joints, for example, haemophilic arthropathy (HA)—affect gait ability.ObjectivesWe evaluated gait function among PwH with HA, PwH without HA, and people without haemophilia (non‐PwH) using a Zebris FDM‐T treadmill (FDM‐T), an easy‐to‐use gait assessment instrument with a force sensor matrix.MethodsThe following gait parameters were collected: centre of pressure trajectory intersection (COPi) anterior/posterior variability, COPi lateral variability, COPi anterior/posterior symmetry, COPi lateral symmetry, single‐limb support line (SLSL) length, and SLSL variability. Participants walked at their typical gait speed. The physical function of the PwH was assessed by the Hemophilia Joint Health Score (HJHS). Parameters were compared among the three groups.ResultsTwelve PwH with HA, 28 PwH without HA, and 12 non‐PwH were enrolled. Gait speed significantly differed between groups (non‐PwH, 3.1 ± 0.7; PwH without HA, 2.0 ± 0.7; PwH with HA; 1.5 ± 0.4). The COPi anterior/posterior variability, COPi lateral variability, SLSL length, and SLSL variability were greater in the PwH groups than in the non‐PwH group. The COPi lateral symmetry differed between PwH with HA and the other groups. The HJHS was not correlated with gait parameters among PwH with HA.ConclusionsGait parameters and speed were abnormal in both PwH with HA and PwH without HA. The FDM‐T can be used to identify early stages of physical dysfunction that cannot be detected by conventional functional assessments such as the HJHS.

show abstract

“…Bilateral gait symmetry has been found to be a sensitive parameter in identifying the reduced level of walking quality and stability in several pathological gaits, such as in the case of lower limb amputation [4][5][6], in children with cerebral palsy [7,8], in patients with chronic stroke [9,10], in Parkinson's disease [11] and in osteoarthritis [12]. Only a few studies focused on changes in gait symmetry in healthy individuals, as typical human walking is basically considered symmetrical [13].…”

Section: Introductionmentioning

confidence: 99%

Identifying the Effects of Age and Speed on Whole-Body Gait Symmetry by Using a Single Wearable Sensor

Casabona

Valle

Mangano

et al. 2022

Sensors

View full text Add to dashboard Cite

Studies on gait symmetry in healthy population have mainly been focused on small range of age categories, neglecting Teenagers (13–18 years old) and Middle-Aged persons (51–60 years old). Moreover, age-related effects on gait symmetry were found only when the symmetry evaluation was based on whole-body acceleration than on spatiotemporal parameters of the gait cycle. Here, we provide a more comprehensive analysis of this issue, using a Symmetry Index (SI) based on whole-body acceleration recorded on individuals aged 6 to 84 years old. Participants wore a single inertial sensor placed on the lower back and walked for 10 m at comfortable, slow and fast speeds. The SI was computed using the coefficient of correlation of whole-body acceleration measured at right and left gait cycles. Young Adults (19–35 years old) and Adults (36–50 years old) showed stable SI over the three speed conditions, while Children (6–12 years old), Teenagers (13–18 years old), Middle-Aged persons and Elderly (61–70 and 71–84 years old) exhibited lower SI values when walking at fast speed. Overall, this study confirms that whole-body gait symmetry is lower in Children and in Elderly persons over 60 years of age, showing, for the first time, that asymmetries appear also during teenage period and in Middle-Aged persons (51–60 years old).

show abstract

Movement Quality Parameters during Gait Assessed by a Single Accelerometer in Subjects with Osteoarthritis and Following Total Joint Arthroplasty

Cited by 10 publications

References 47 publications

Inertial-Sensor-Based Monitoring of Sample Entropy and Peak Frequency Changes in Treadmill Walking during Recovery after Total Knee Arthroplasty

Inertial-Sensor-Based Monitoring of Sample Entropy and Peak Frequency Changes in Treadmill Walking during Recovery after Total Knee Arthroplasty

Force‐sensing treadmill gait analysis system can detect gait abnormalities in haemophilia patients without arthropathy

Identifying the Effects of Age and Speed on Whole-Body Gait Symmetry by Using a Single Wearable Sensor

Contact Info

Product

Resources

About