Gait Detection in Children with and without Hemiplegia Using Single-Axis Wearable Gyroscopes

Abaid, Nicole; Cappa, Paolo; Palermo, Eduardo; Petrarca, Maurizio; Porfiri, Maurizio

doi:10.1371/journal.pone.0073152

Cited by 83 publications

(74 citation statements)

References 40 publications

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“…In clinical practice; gait is analysed either visually or by using questionnaires. Whereas, in research settings, advanced motion analysis systems are used to carry out quantitative clinical gait analysis (CGA) and evaluate the impact of age, gender and several pathologies on gait characteristics [9]. The use of different technologies such as an optoelectronic system (VICON, QUALYSIS, MOTION ANALYSIS, CODA MOTION, BTS etc.)…”

Section: Introductionmentioning

confidence: 99%

Head and trunk kinematics and kinetics in normal and cerebral palsy gait: a systematic review

Hazari

Agouris

Wakode

et al. 2019

European Journal of Physiotherapy

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Background: Cerebral palsy (CP) is a neuromuscular disability characterised by a persistent disorder of movement and posture due to a non-progressive lesion in a developing brain. In children with CP, gait is compromised in a variety of ways. A number of studies have suggested that there is a higher degree of biomechanical variations including kinematics and kinetics at head and trunk while analysing a CP gait. Since coordinated movements of head and trunk are important to analyse a typical gait, it is important to determine these biomechanical changes among children with CP for altered movements such as decreased head and trunk stability. Studies have also reported a variety of outcome measures for clinical use. However, the results among the studies are not consistent as there is variability for altered biomechanics based on type and level of the disorder which requires further investigation. Although clinically very useful, the data regarding the head and trunk biomechanics in children with CP is limited. In this study, a systematic review was done to determine the head and trunk kinematic and kinetics variations in CP gait compared to TD children of the same age-group.Methodology: Scientific articles were obtained by a search in databases including Science Direct, Cinahl, Springer Link, Sport discuss, Web of Science and Pubmed. Limitations used were AND/OR. Full-text articles from 1999 to 2017 in English were selected. Results:A total of 3029 records were identified that included Science Direct (n = 1854), Cinahl (n = 176), Springer Link (n = 121), Sports Discuss (n = 101), Web of Science (n = 14) and Pubmed (n = 763). After removing the duplicates, 1786 records were obtained. Fifty-one full text articles were selected for the eligibility and 27 were included in the study. Conclusions:In this review study, we conclude that children with CP have a significant difference in head and trunk kinetics and kinematics compared to age-matched TD children

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Section: Introductionmentioning

confidence: 99%

Head and trunk kinematics and kinetics in normal and cerebral palsy gait: a systematic review

Hazari

Agouris

Wakode

et al. 2019

European Journal of Physiotherapy

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“…They introduced a novel algorithm based on a hierarchical weighted decision on the output of two or more scalar HMMs to estimate the most likely sequence of four gait phases. In [31], a gait phase detection algorithm based on HMM, which used data from foot-mounted single-axis gyroscopes, can generate equivalent results as a reference signal provided by force-sensitive resistors (FSRs) for typically developing children and children with hemiplegia. A hybrid method based on a feed-forward neural network (FNN) embedded in an HMM was introduced in [32] for detecting five gait phases.…”

Section: Introductionmentioning

confidence: 99%

Gait Phase Recognition for Lower-Limb Exoskeleton with Only Joint Angular Sensors

Liu

Wang

et al. 2016

Sensors

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Gait phase is widely used for gait trajectory generation, gait control and gait evaluation on lower-limb exoskeletons. So far, a variety of methods have been developed to identify the gait phase for lower-limb exoskeletons. Angular sensors on lower-limb exoskeletons are essential for joint closed-loop controlling; however, other types of sensors, such as plantar pressure, attitude or inertial measurement unit, are not indispensable.Therefore, to make full use of existing sensors, we propose a novel gait phase recognition method for lower-limb exoskeletons using only joint angular sensors. The method consists of two procedures. Firstly, the gait deviation distances during walking are calculated and classified by Fisher’s linear discriminant method, and one gait cycle is divided into eight gait phases. The validity of the classification results is also verified based on large gait samples. Secondly, we build a gait phase recognition model based on multilayer perceptron and train it with the phase-labeled gait data. The experimental result of cross-validation shows that the model has a 94.45% average correct rate of set (CRS) and an 87.22% average correct rate of phase (CRP) on the testing set, and it can predict the gait phase accurately. The novel method avoids installing additional sensors on the exoskeleton or human body and simplifies the sensory system of the lower-limb exoskeleton.

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“…The results obtained are used in the second stage to classify the process based on the Viterbi Algorithm [34] or its modification, called Forward-Only [35,36], which improves the quality of data processing in real time.…”

Section: B Intellectual Subsystemmentioning

confidence: 99%

Transfemoral Prostheses Control in a Frame of Intellectual-Synergetic Concept

Poliakov¹,

Pakhaliuk²,

Kolesova³

et al. 2017

Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)

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Abstract-In the control process of transfemoral prostheses in real time, the need to solve a number of non-trivial tasks there arises. The most difficult of them: recognizing the intentions of the disabled person to carry out any movement in the short term and choosing the optimal strategy for moving to the target, taking into account excessive number degrees of freedom of the prosthetic system. At the same time, the optimal should be considered the strategy of movement, which ensures the safety and most comfortable walking of a disabled person from its subjective point of view. Such a strategy can be implemented in a frame of the intellectual-synergistic concept of control. Herewith, the prosthesis control system is designed based on two basic subsystems: the intellectual subsystem -designed to assess the current state and recognize the intentions of the disabled person and the synergetic subsystem -designed to select the optimal strategy for limb movement toward the goal. In this work, the structure of the transfemoral prosthesis control system, realized within the framework of the intellectual-synergistic concept with regard to synergistic quality criteria, is substantiated. It is shown that the use of reasonable synergetic quality criteria allows successfully solving the pseudo-Bernstein problem when planning the movements of controlled transfemoral prostheses and using these movements as reference for the prostheses control system.

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Gait Detection in Children with and without Hemiplegia Using Single-Axis Wearable Gyroscopes

Cited by 83 publications

References 40 publications

Head and trunk kinematics and kinetics in normal and cerebral palsy gait: a systematic review

Head and trunk kinematics and kinetics in normal and cerebral palsy gait: a systematic review

Gait Phase Recognition for Lower-Limb Exoskeleton with Only Joint Angular Sensors

Transfemoral Prostheses Control in a Frame of Intellectual-Synergetic Concept

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