An Instrumented Shoe to Measure Vertical Foot Displacement Profile and Other Gait Parameters

Abstract. A growing body of research demonstrates an association between gait disorders, falls, and attentional capacities in older adults. The present work empirically analyzes differences in gait parameters in frail institutionalized older adults as a function of selective attention. Gait analysis under single- and dual-task conditions as well as selective attention measures were collected from a total of 33 nursing-home residents. We found that differences in selective attention performances were related to the investigated gait parameters. Poorer selective attention performances were associated with higher stride-to-stride variabilities and a slowing of gait speed under dual-task conditions. The present findings suggest a contribution of selective attention to a safe gait. Implications for gait rehabilitation programs are discussed.

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Robotic-assisted gait training improves gait parameters and functional mobility in patients wit cerebral palsy – preliminary results of a longitudinal study

Neuropediatrics ◽

10.1055/s-0030-1265610 ◽

2010 ◽

Vol 41 (02) ◽

Author(s):

A Nagel ◽

M Dercks ◽

A Sprinz

Keyword(s):

Cerebral Palsy ◽

Longitudinal Study ◽

Gait Training ◽

Functional Mobility ◽

Robotic Assisted ◽

Preliminary Results ◽

Gait Parameters

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A FOOT-POINTING TASK AND SPATIOTEMPORAL GAIT PARAMETERS DURING WALKING IN SPORTSMEN

Perceptual and Motor Skills ◽

10.2466/pms.99.5.247-256 ◽

2004 ◽

Vol 99 (5) ◽

pp. 247

Author(s):

THIERRY PAILLARD

Keyword(s):

Gait Parameters ◽

Pointing Task

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Development of a Self-Powered Piezo-Resistive Smart Insole Equipped with Low-Power BLE Connectivity for Remote Gait Monitoring

Sensors ◽

10.3390/s21134539 ◽

2021 ◽

Vol 21 (13) ◽

pp. 4539

Author(s):

Roberto de Fazio ◽

Elisa Perrone ◽

Ramiro Velázquez ◽

Massimo De Vittorio ◽

Paolo Visconti

Keyword(s):

Low Power ◽

Smart Materials ◽

Applied Pressure ◽

Pressure Sensors ◽

Complete Characterization ◽

Electric Signal ◽

Sensing Matrix ◽

Capacitive Accelerometer ◽

Gait Parameters ◽

Smart Insole

The evolution of low power electronics and the availability of new smart materials are opening new frontiers to develop wearable systems for medical applications, lifestyle monitoring, and performance detection. This paper presents the development and realization of a novel smart insole for monitoring the plantar pressure distribution and gait parameters; indeed, it includes a piezoresistive sensing matrix based on a Velostat layer for transducing applied pressure into an electric signal. At first, an accurate and complete characterization of Velostat-based pressure sensors is reported as a function of sizes, support material, and pressure trend. The realization and testing of a low-cost and reliable piezoresistive sensing matrix based on a sandwich structure are discussed. This last is interfaced with a low power conditioning and processing section based on an Arduino Lilypad board and an analog multiplexer for acquiring the pressure data. The insole includes a 3-axis capacitive accelerometer for detecting the gait parameters (swing time and stance phase time) featuring the walking. A Bluetooth Low Energy (BLE) 5.0 module is included for transmitting in real-time the acquired data toward a PC, tablet or smartphone, for displaying and processing them using a custom Processing® application. Moreover, the smart insole is equipped with a piezoelectric harvesting section for scavenging energy from walking. The onfield tests indicate that for a walking speed higher than 1 ms−1, the device’s power requirements (i.e., ) was fulfilled. However, more than 9 days of autonomy are guaranteed by the integrated 380-mAh Lipo battery in the total absence of energy contributions from the harvesting section.

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Digital Biomarkers of Cognitive Frailty: The Value of Detailed Gait Assessment Beyond Gait Speed

Gerontology ◽

10.1159/000515939 ◽

2021 ◽

pp. 1-10

Author(s):

He Zhou ◽

Catherine Park ◽

Mohammad Shahbazi ◽

Michele K. York ◽

Mark E. Kunik ◽

...

Keyword(s):

Older Adults ◽

Steady State ◽

Dual Task ◽

Gait Speed ◽

Stride Length ◽

Cognitive Frailty ◽

Single Task ◽

Double Support ◽

Gait Parameters ◽

Digital Biomarkers

Background: Cognitive frailty (CF), defined as the simultaneous presence of cognitive impairment and physical frailty, is a clinical symptom in early-stage dementia with promise in assessing the risk of dementia. The purpose of this study was to use wearables to determine the most sensitive digital gait biomarkers to identify CF. Methods: Of 121 older adults (age = 78.9 ± 8.2 years, body mass index = 26.6 ± 5.5 kg/m2) who were evaluated with a comprehensive neurological exam and the Fried frailty criteria, 41 participants (34%) were identified with CF and 80 participants (66%) were identified without CF. Gait performance of participants was assessed under single task (walking without cognitive distraction) and dual task (walking while counting backward from a random number) using a validated wearable platform. Participants walked at habitual speed over a distance of 10 m. A validated algorithm was used to determine steady-state walking. Gait parameters of interest include steady-state gait speed, stride length, gait cycle time, double support, and gait unsteadiness. In addition, speed and stride length were normalized by height. Results: Our results suggest that compared to the group without CF, the CF group had deteriorated gait performances in both single-task and dual-task walking (Cohen’s effect size d = 0.42–0.97, p < 0.050). The largest effect size was observed in normalized dual-task gait speed (d = 0.97, p < 0.001). The use of dual-task gait speed improved the area under the curve (AUC) to distinguish CF cases to 0.76 from 0.73 observed for the single-task gait speed. Adding both single-task and dual-task gait speeds did not noticeably change AUC. However, when additional gait parameters such as gait unsteadiness, stride length, and double support were included in the model, AUC was improved to 0.87. Conclusions: This study suggests that gait performances measured by wearable sensors are potential digital biomarkers of CF among older adults. Dual-task gait and other detailed gait metrics provide value for identifying CF above gait speed alone. Future studies need to examine the potential benefits of gait performances for early diagnosis of CF and/or tracking its severity over time.

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The Effect of Water-Based Therapy Compared to Land-Based Therapy on Balance and Gait Parameters of Patients with Stroke: A Systematic Review

European Neurology ◽

10.1159/000517377 ◽

2021 ◽

pp. 1-9

Author(s):

Nour Zughbor ◽

Aisha Alwahshi ◽

Rahaf Abdelrahman ◽

Zeina Elnekiti ◽

Hoda Elkareish ◽

...

Keyword(s):

Meta Analysis ◽

Berg Balance Scale ◽

Primary Outcome Measure ◽

Balance System ◽

Effect Of Water ◽

Gait Parameters ◽

Water Based ◽

Biodex Balance System ◽

Therapy Studies ◽

The Brain

Introduction: Stroke is defined as the lack of blood supply to the brain, leading to rapid loss of brain function presenting with impairments such as muscle weakness, spasticity, lack of coordination, and proprioception loss. Both hydrotherapy and land-based therapy aim to target these aspects in the process of rehabilitation. The study aims to determine the effectiveness of water-based therapy on balance and gait of patients with stroke compared to land-based therapy. Methods: Data for this review were extracted from databases such as CINAHL, OTseeker, Ovid, PEDro, and PubMed (MEDLINE) and other sources such as Google Scholar. PRISMA guidelines were followed to exclude irrelevant studies. Only randomized controlled trials (RCTs) were included, and methodological quality was assessed using the PEDro scale. A meta-analysis of extracted data was conducted. Results: A total of 16 relevant RCTs were included for the review (n = 412 participants). All RCTs investigated the effect of water-based therapy compared to land-based therapy on balance and gait of patients with stroke. Meta-analysis of studies that used the Berg Balance Scale (BBS) as a primary outcome measure favored land-based therapy. Studies that used the Good Balance System (GBS) and the Biodex Balance System (BioBS) to measure the changes in anteroposterior sway and mediolateral sway favored water-based therapy. The overall pooled effect favored land-based therapy in improving gait parameters. Conclusion: Findings from meta-analysis support the effectiveness of land-based therapy in the improvement of balance and gait parameters of patients with stroke. However, the evidence for water-based therapy continues to be limited, and higher quality studies are required to determine the effectiveness of water-based therapy on patients with stroke, particularly on balance and gait.

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Efficacy of axial TheraTogs on gait pattern in children with dyskinetic cerebral palsy: a randomized controlled trial

Bulletin of Faculty of Physical Therapy ◽

10.1186/s43161-021-00030-2 ◽

2021 ◽

Vol 26 (1) ◽

Author(s):

Shamekh Mohamed El-Shamy ◽

Ehab Mohamed Abd El Kafy

Keyword(s):

Cerebral Palsy ◽

Physical Therapy ◽

Muscle Tone ◽

Controlled Trial ◽

Gait Pattern ◽

Controlled Study ◽

Control Group ◽

Randomized Controlled ◽

Gait Parameters ◽

Experimental Group

Abstract Background TheraTogs promotes proprioceptive sense of a child with cerebral palsy and improves abnormal muscle tone, posture alignment, balance, and gait. Therefore, the aim of this study was to investigate the efficacy of TheraTogs orthotic undergarment on gait pattern in children with dyskinetic cerebral palsy. Thirty children with dyskinetic cerebral palsy were selected for this randomized controlled study. They were randomly assigned to (1) an experimental group that received TheraTogs orthotic undergarment (12 h/day, 3 days/week) plus traditional physical therapy for 3 successive months and (2) a control group that received only traditional physical therapy program for the same time period. Gait parameters were measured at baseline and after 3 months of intervention using Pro-Reflex motion analysis. Results Children in both groups showed significant improvements in the gait parameters (P < 0.05), with significantly greater improvements in the experimental group than in the control group. Conclusions The use of TheraTogs may have a positive effect to improve gait pattern in children with dyskinetic cerebral palsy. Trial registration This trial was registered in the ClinicalTrial.gov PRS (NCT03037697).

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Independent and sensitive gait parameters for objective evaluation in knee and hip osteoarthritis using wearable sensors

BMC Musculoskeletal Disorders ◽

10.1186/s12891-021-04074-2 ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Ramon J. Boekesteijn ◽

José M. H. Smolders ◽

Vincent J. J. F. Busch ◽

Alexander C. H. Geurts ◽

Katrijn Smulders

Keyword(s):

Dual Task ◽

Wearable Sensors ◽

Body Motion ◽

Effect Sizes ◽

Upper Body ◽

Healthy Controls ◽

Gait Parameters ◽

Dual Task Cost ◽

Dual Task Performance ◽

Spatiotemporal Parameters

Abstract Background Although it is well-established that osteoarthritis (OA) impairs daily-life gait, objective gait assessments are not part of routine clinical evaluation. Wearable inertial sensors provide an easily accessible and fast way to routinely evaluate gait quality in clinical settings. However, during these assessments, more complex and meaningful aspects of daily-life gait, including turning, dual-task performance, and upper body motion, are often overlooked. The aim of this study was therefore to investigate turning, dual-task performance, and upper body motion in individuals with knee or hip OA in addition to more commonly assessed spatiotemporal gait parameters using wearable sensors. Methods Gait was compared between individuals with unilateral knee (n = 25) or hip OA (n = 26) scheduled for joint replacement, and healthy controls (n = 27). For 2 min, participants walked back and forth along a 6-m trajectory making 180° turns, with and without a secondary cognitive task. Gait parameters were collected using 4 inertial measurement units on the feet and trunk. To test if dual-task gait, turning, and upper body motion had added value above spatiotemporal parameters, a factor analysis was conducted. Effect sizes were computed as standardized mean difference between OA groups and healthy controls to identify parameters from these gait domains that were sensitive to knee or hip OA. Results Four independent domains of gait were obtained: speed-spatial, speed-temporal, dual-task cost, and upper body motion. Turning parameters constituted a gait domain together with cadence. From the domains that were obtained, stride length (speed-spatial) and cadence (speed-temporal) had the strongest effect sizes for both knee and hip OA. Upper body motion (lumbar sagittal range of motion), showed a strong effect size when comparing hip OA with healthy controls. Parameters reflecting dual-task cost were not sensitive to knee or hip OA. Conclusions Besides more commonly reported spatiotemporal parameters, only upper body motion provided non-redundant and sensitive parameters representing gait adaptations in individuals with hip OA. Turning parameters were sensitive to knee and hip OA, but were not independent from speed-related gait parameters. Dual-task parameters had limited additional value for evaluating gait in knee and hip OA, although dual-task cost constituted a separate gait domain. Future steps should include testing responsiveness of these gait domains to interventions aiming to improve mobility.

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