Changes in center of pressure displacement with the use of a foot drop stimulator in individuals with stroke

Nolan, Karen J.; Yarossi, Mathew; McLaughlin, Patrick

doi:10.1016/j.clinbiomech.2015.03.016

Cited by 29 publications

(12 citation statements)

References 27 publications

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“…These sensors include load-sensitive switches or force-sensitive resistors that characterize gait based on the configuration of the sensors. A single sensor attached to the heel allows detection of heel strike and heel off phases of gait, while multiple sensors within an insole enable examination of walking strategies 10 , center of pressure translations 11 , and the estimation of vertical ground reaction forces throughout the gait cycle 12 . Force-based sensors are also used to drive auditory 13 and visual 14 biofeedback during gait training 13,14 .…”

Section: Review Of Evidencementioning

confidence: 99%

Wearable Movement Sensors for Rehabilitation: A Focused Review of Technological and Clinical Advances

Porciuncula

Roto

Kumar

et al. 2018

PM&R

165

115

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Recent technological advancements have enabled the creation of portable, low-cost, and unobtrusive sensors with tremendous potential to alter the clinical practice of rehabilitation. The application of wearable sensors to movement tracking has emerged as a promising paradigm to enhance the care provided to patients with neurological or musculoskeletal conditions. These sensors enable quantification of motor behavior across disparate patient populations and emerging research shows their potential for identifying motor biomarkers, differentiating between restitution and compensation motor recovery mechanisms, remote monitoring, tele-rehabilitation, and robotics. Moreover, the big data recorded across these applications serve as a pathway to personalized and precision medicine. This paper presents state-of-the-art and next generation wearable movement sensors, ranging from inertial measurement units to soft sensors. An overview of clinical applications is presented across a wide spectrum of conditions that have potential to benefit from wearable sensors, including stroke, movement disorders, knee osteoarthritis, and running injuries. Complementary applications enabled by next-generation sensors that will enable point-of-care monitoring of neural activity and muscle dynamics during movement are also discussed.

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Section: Review Of Evidencementioning

confidence: 99%

Wearable Movement Sensors for Rehabilitation: A Focused Review of Technological and Clinical Advances

Porciuncula

Roto

Kumar

et al. 2018

PM&R

165

115

View full text Add to dashboard Cite

show abstract

“…The authors in [15] evaluated changes in the centre of pressure displacement in individuals with stroke with and without a foot drop stimulator. Differences are reflected both in the location and the amplitude of the patterns.…”

Section: Introductionmentioning

confidence: 99%

Assessing Walking Strategies Using Insole Pressure Sensors for Stroke Survivors

Muñoz-Organero

Parker

Powell

et al. 2016

Sensors

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Insole pressure sensors capture the different forces exercised over the different parts of the sole when performing tasks standing up such as walking. Using data analysis and machine learning techniques, common patterns and strategies from different users to achieve different tasks can be automatically extracted. In this paper, we present the results obtained for the automatic detection of different strategies used by stroke survivors when walking as integrated into an Information Communication Technology (ICT) enhanced Personalised Self-Management Rehabilitation System (PSMrS) for stroke rehabilitation. Fourteen stroke survivors and 10 healthy controls have participated in the experiment by walking six times a distance from chair to chair of approximately 10 m long. The Rivermead Mobility Index was used to assess the functional ability of each individual in the stroke survivor group. Several walking strategies are studied based on data gathered from insole pressure sensors and patterns found in stroke survivor patients are compared with average patterns found in healthy control users. A mechanism to automatically estimate a mobility index based on the similarity of the pressure patterns to a stereotyped stride is also used. Both data gathered from stroke survivors and healthy controls are used to evaluate the proposed mechanisms. The output of trained algorithms is applied to the PSMrS system to provide feedback on gait quality enabling stroke survivors to self-manage their rehabilitation.

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“…Willems et al identified the PPC displacement as a risk factor for sprain and exercise-related leg pain [13,14]. The PPC has been considered to study the gates of diabetes and stroke patients [15,16].…”

Section: Introductionmentioning

confidence: 99%

Measurement and Feature Analysis of Plantar Pressure Center in Athletes under Different Exercise Modes

Yang¹

2020

I2M

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Walking and running, two essential exercises in daily training for athletes, are major causes to foot injuries. The plantar pressure center (PPC) can accurately reflect the gait process, and effectively measure the function of foot. This paper measures the PPC trajectories of a total of 45 athletes during the support period of walking and running, and analyzes their regularities under different exercise modes. The time percentage of PPC trajectory and foot progression angle were selected as the main observation indices. The support period under each exercise mode was divided into four phases: the initial contact phase (ICP), the forefoot contact phase (FFCP), the foot flat phase (FFP), and the forefoot push off phase (FFPOP). The statistical analysis shows that: Under the running mode, the time of the heel landing on the ground and the relative load on the heel decrease with the growing speed. Under the same exercise mode, the left and right feet differ slightly in the PPC trajectory; the foot progression angle peaks in FFPOP and minimizes in FFP. In ICP and FFPOP, the foot progression angle under running is smaller than that under walking; in FFP and FFCP, the foot progression angle under running is larger than that under walking. The research results provide the scientific basis for the reasonable arrangement of athlete training.

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Changes in center of pressure displacement with the use of a foot drop stimulator in individuals with stroke

Cited by 29 publications

References 27 publications

Wearable Movement Sensors for Rehabilitation: A Focused Review of Technological and Clinical Advances

Wearable Movement Sensors for Rehabilitation: A Focused Review of Technological and Clinical Advances

Assessing Walking Strategies Using Insole Pressure Sensors for Stroke Survivors

Measurement and Feature Analysis of Plantar Pressure Center in Athletes under Different Exercise Modes

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