Готові списки джерел за темами / Walker-assisted gait

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Добірка наукової літератури з теми "Walker-assisted gait"

Автор: Grafiati
Опубліковано: 11 березня 2023

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Статті в журналах з теми "Walker-assisted gait"

1

Wan, Xianglong, and Yoji Yamada. "Changes in the Determinism of the Gait Dynamics with the Intervention of a Robotic Walker." Applied Sciences 10, no. 14 (July 18, 2020): 4939. http://dx.doi.org/10.3390/app10144939.

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Анотація:
(1) Robotic walkers have gradually been developed over the last decade, and their use has caused changes in gait. However, detailed gait analyses during robotic walker-assisted walking have not been performed. In this study, we aim to identify the changes in determinism of gait dynamics owing to the intervention of a robotic walker. (2) Eleven healthy subjects participated in walking experiments under normal walking, rollator-assisted walking, and robotic walker-assisted walking conditions. We analyzed the measured trunk acceleration to derive the gait parameters, local scaling exponent (LSE, from correlation sum), and percentage of determinism (%DET, from recurrence plot). (3) The walking speed during rollator-assisted walking was significantly lower than that during robotic walker-assisted walking. Changes in the shape of the LSE along the anterior–posterior direction revealed the influence of the robotic walker at an individual level. The changes in %DET along the anterior–posterior direction were also significantly different between normal walking and robotic walker-assisted walking. (4) The rollator decreased the walking speed in comparison to normal walking. The changed LSE and reduced %DET imply reduced deterministic patterns and disturbance to the gait dynamics. The robotic walker only affects the gait dynamics in the anterior–posterior direction. Furthermore, the burden on the subjects was reduced during robotic walker-assisted walking.
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2

Priebe, Jonathon R., and Rodger Kram. "Why is walker-assisted gait metabolically expensive?" Gait & Posture 34, no. 2 (June 2011): 265–69. http://dx.doi.org/10.1016/j.gaitpost.2011.05.011.

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3

Pardo, R. D., D. A. Winter, and A. B. Deathe. "System for routine assessment of walker-assisted gait." Clinical Biomechanics 8, no. 2 (March 1993): 73–80. http://dx.doi.org/10.1016/s0268-0033(93)90036-h.

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4

Cifuentes, Carlos A., Camilo Rodriguez, Anselmo Frizera-Neto, Teodiano Freire Bastos-Filho, and Ricardo Carelli. "Multimodal Human–Robot Interaction for Walker-Assisted Gait." IEEE Systems Journal 10, no. 3 (September 2016): 933–43. http://dx.doi.org/10.1109/jsyst.2014.2318698.

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5

Sierra M., Sergio D. Sierra, Mario Garzón, Marcela Múnera, and Carlos A. Cifuentes. "Human–Robot–Environment Interaction Interface for Smart Walker Assisted Gait: AGoRA Walker." Sensors 19, no. 13 (June 30, 2019): 2897. http://dx.doi.org/10.3390/s19132897.

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Анотація:
The constant growth of the population with mobility impairments has led to the development of several gait assistance devices. Among these, smart walkers have emerged to provide physical and cognitive interactions during rehabilitation and assistance therapies, by means of robotic and electronic technologies. In this sense, this paper presents the development and implementation of a human–robot–environment interface on a robotic platform that emulates a smart walker, the AGoRA Walker. The interface includes modules such as a navigation system, a human detection system, a safety rules system, a user interaction system, a social interaction system and a set of autonomous and shared control strategies. The interface was validated through several tests on healthy volunteers with no gait impairments. The platform performance and usability was assessed, finding natural and intuitive interaction over the implemented control strategies.
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6

Davide, Conte, Baldan Francesco, Petrone Nicola, and Capelli Carlo. "Clinical walker-assisted gait analysis: Methodological and instrumental approach." Gait & Posture 33 (April 2011): S36—S37. http://dx.doi.org/10.1016/j.gaitpost.2010.10.044.

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7

Jailani, R., M. O. Tokhi, S. C. Gharooni, and B. S. K. K. Ibrahim. "FES-Assisted Walking with Spring Brake Orthosis: Simulation Studies." Applied Bionics and Biomechanics 8, no. 1 (2011): 115–26. http://dx.doi.org/10.1155/2011/350602.

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Анотація:
This paper presents a simulation of bipedal locomotion to generate stimulation pulses for activating muscles for paraplegic walking with wheel walker using functional electrical stimulation (FES) with spring brake orthosis (SBO). A new methodology for paraplegic gait, based on exploiting natural dynamics of human gait, is introduced. The work is a first effort towards restoring natural like swing phase in paraplegic gait through a new hybrid orthosis, referred to as spring brake orthosis (SBO). This mechanism simplifies the control task and results in smooth motion and more-natural like trajectory produced by the flexion reflex for gait in spinal cord injured subjects. SBO can eliminate reliance on the withdrawal reflex and foot-ground clearance without extra upper body effort. The stored energy in the spring of SBO is used to replace stimulation pulses in knee flexion and reduce total required torque for the paraplegic walking with wheel walker. The study is carried out with a model of humanoid with wheel walker using the Visual Nastran (Vn4D) dynamic simulation software. Stimulated muscle model of quadriceps is developed for knee extension. Fuzzy logic control (FLC) is developed in Matlab/Simulink to regulate the muscle stimulation pulse-width required to drive FES-assisted walking gait and the computed motion is visualised in graphic animation from Vn4D. The simulation results show that SBO can be successfully used with FES for paraplegic walking with wheel walker with all the advantages discussed over the current hybrid orthoses available.
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8

Ming, D., Z. J. Xue, H. Z. Qi, G. J. Zhang, L. L. Cheng, K. D. K. Luk, Y. R. Bai, et al. "Measurement of upper extremity joint moments in walker-assisted gait." IET Science, Measurement & Technology 3, no. 5 (September 1, 2009): 343–53. http://dx.doi.org/10.1049/iet-smt.2008.0130.

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9

Bachschmidt, R. A., G. F. Harris, and G. G. Simoneau. "Walker-assisted gait in rehabilitation: a study of biomechanics and instrumentation." IEEE Transactions on Neural Systems and Rehabilitation Engineering 9, no. 1 (March 2001): 96–105. http://dx.doi.org/10.1109/7333.918282.

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10

Sierra M, Sergio D., Marcela Múnera, Thomas Provot, Maxime Bourgain, and Carlos A. Cifuentes. "Evaluation of Physical Interaction during Walker-Assisted Gait with the AGoRA Walker: Strategies Based on Virtual Mechanical Stiffness." Sensors 21, no. 9 (May 7, 2021): 3242. http://dx.doi.org/10.3390/s21093242.

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Анотація:
Smart walkers are commonly used as potential gait assistance devices, to provide physical and cognitive assistance within rehabilitation and clinical scenarios. To understand such rehabilitation processes, several biomechanical studies have been conducted to assess human gait with passive and active walkers. Several sessions were conducted with 11 healthy volunteers to assess three interaction strategies based on passive, low and high mechanical stiffness values on the AGoRA Smart Walker. The trials were carried out in a motion analysis laboratory. Kinematic data were also collected from the smart walker sensory interface. The interaction force between users and the device was recorded. The force required under passive and low stiffness modes was 56.66% and 67.48% smaller than the high stiffness mode, respectively. An increase of 17.03% for the hip range of motion, as well as the highest trunk’s inclination, were obtained under the resistive mode, suggesting a compensating motion to exert a higher impulse force on the device. Kinematic and physical interaction data suggested that the high stiffness mode significantly affected the users’ gait pattern. Results suggested that users compensated their kinematics, tilting their trunk and lower limbs to exert higher impulse forces on the device.
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Більше джерел

Дисертації з теми "Walker-assisted gait"

1

Priebe, Jonathon R. "Energetics and biomechanics of walker assisted gait." Connect to online resource, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1442958.

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2

Balakrishnan, Nishant. "Experimental study of a novel actively assisted bipedal walker – simulation, modeling and experiment." 2015. http://hdl.handle.net/1993/30369.

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Анотація:
This thesis covers the study of an actively assisted passive walker with discontinuous and impulsive actuation. The dynamics of the passive and active portions are derived, and a comprehensive mathematical model is proposed. An actuation method is also proposed to study the use of multiple discrete actuation events in a walking gait. Two key cases are considered: actuation at the stance point and at the EA point of a non-kneed walker. An experimental walker was designed that is capable of passive walking and has an experimental implementation of the proposed actuation system. A thorough characterization of the model is then performed, with experimental validation to show that: at high ramp angles, energy injection results in an increase in BOA of ~38% on a stable walking gait at a Ct of 0.086, and at low ramp angles, injection results in a stride length increase of ~29% at a Ct of 0.06.
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3

CONTE, Davide. "Muscle mechanical work in walker-assisted locomotion: Instrumentationand modelling for an integrated gait analysis in cerebral palsy." Doctoral thesis, 2012. http://hdl.handle.net/11562/417939.

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Анотація:
La stima del lavoro meccanico muscolare è un utile strumento per valutare l'efficienza di un movimento, ma il processo di calcolo presenta ancora molte criticità dal punto di vista biomeccanico. Diversi metodi per stimare il lavoro meccanico muscolare durante il cammino sono stati presentati in letteratura, ma nonostante i tentativi fatti per confrontarli, tutti i metodi sono tuttora utilizzati in ambito di ricerca e in ambito clinico. Una più profonda comprensione delle differenze, sia dal punto di vista teorico, che pratico, potrebbe permettere di capire cosa venga effettivamente calcolato da ciascun metodo ed aiutare a fare un uso più appropriato di questa informazione. A questo scopo è stato validato un modello tridimensionale a corpo completo, consistente in 16 segmenti, utilizzato per raccogliere informazioni cinematiche e dinamiche durante il cammino in ragazzi e bambini sani e in ragazzi e bambini affetti da paralisi cerebrale infantile (CP), camminati a velocità spontanea. Lo sviluppo di due maniglie strumentate fissabili sulla struttura di deambulatori pediatrici posteriori ha permesso di misurare cinematica e dinamica dell'arto superiore anche in soggetti con maggiori difficoltà di deambulazione. Curve di potenza e valori di lavoro meccanico muscolare totale, positivo, negativo o netto, durante cammino normale e durante cammino con deambulatore, sono stati stimati dimostrando che tutti i metodi sono equivalenti quando vengono permessi trasferimenti di energia tra segmenti. Senza possibilità di trasferimento di energia, i metodi differiscono tra loro, con differenze dipendenti dal metodo utilizzato e dal movimento studiato. Eccetto alcune criticità evidenziate e discusse, l'analisi delle curve di potenza muscolare e dei valori di lavoro meccanico muscolare stimati può fornire utili informazioni sulla funzione locomotoria nel suo complesso, mettendo in luce deficit di propulsione, asimmetrie del cammino, inefficienze di movimento associate ad una ridotta capacità di recupero di energia.
The estimation of muscle mechanical work can be useful to assess movement efficiency, but it is still a challenging task in biomechanics. Different methods to estimate muscle work during walking have been presented in the literature and, although attempts have been made to investigate differences among them, all methods are still used in research and clinical applications. A deeper understanding of theoretical differences and analogies would allow to know what is exactly computed by each method and help to make a more appropriate use of this information. To this purpose, a 16 segments full-body 3D model was validated and used to collect kinematic and kinetic data from healthy children and cerebral palsy (CP) children walking at self-selected speed. Two instrumented handles fixable on the frame of posterior paediatric walkers were also developed, to measure upper limb kinetics in subjects with more severe walking impairements. Whole-body muscle mechanical power curves and work values, either positive, negative or net, during normal gait and during walker locomotion were obtained, demonstrating that all methods are equivalent when energy transfers between segments are allowed. With no transfers allowed, methods differ among each other, with differences depending on the movements and the methods considered. Apart from some critical issues evidenced and discussed, the analysis of whole-body muscle mechanical power curves and work estimates can provide valuable information on the overall locomotion function, highlighting propulsive deficits, gait asymmetries, movement inefficiencies associated to reduced energy recuperation.
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Частини книг з теми "Walker-assisted gait"

1

"Lower Extremity Characterization of Walker-Assisted Gait in Children with Spastic Diplegic Cerebral Palsy." In Foot and Ankle Motion Analysis, 183–96. CRC Press, 2007. http://dx.doi.org/10.1201/9781420005745-15.

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2

Klein, John, Stephen Klos, Jeffrey Ackman, Lucy Lu, Gerald Harris, Kathy Reiners, Jeffrey Schwab, and Kelly Baker. "Lower Extremity Characterization of Walker-Assisted Gait in Children with Spastic Diplegic Cerebral Palsy." In Biomedical Engineering, 159–72. CRC Press, 2007. http://dx.doi.org/10.1201/9781420005745.ch10.

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Тези доповідей конференцій з теми "Walker-assisted gait"

1

Shaw, Erik, Pablo Vasquez, Ryosuke Kondo, Kevin Ung, Zachary Farrer, Evan Fagerberg, Jack Baker, et al. "Assisted Mobility Gait Training System." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-65635.

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Анотація:
Gait training is a rehabilitation process which helps patients improve their ability to walk or stand. Current gait training methods require patients to be in hospitals or rehabilitation facilities to acquire data on their recovery progress; there is no method of monitoring patient’s walking pattern continuously. Patients can fall into bad habits when they are not with their physician. Assisted Mobility Gait Training System is a redesigned walker that wirelessly provides data to patients and healthcare professionals throughout the rehab process. With continuous monitoring of data, patients can obtain live feedback about their walking pattern when they are outside a hospital setting. Assisted Mobility Gait Trainer combines tele-medicine and out-patient monitoring to improve the gait rehabilitation process. Portability and ease of use allows the device to be used as an outpatient monitoring tool decreasing recovery time and healthcare visitations. Data acquisition and progress monitoring are achieved through load cells and a Microsoft Kinect 2 that collects data regarding the patient’s gait. Imaging arrays within the Microsoft Kinect 2, including an RGB camera, infrared emitter, and depth sensor, monitor limb trajectories. Angle of rotation of each joint is obtained through the use of blob detection and trigonometry, specifically a variation of the dot product. Use of the camera, load cells, and wheel encoder ensures there is minimal set up time, other than turning on the system. Four load cells in each leg measure the force applied to the gait trainer, which allows physicians to identify if the patient is utilizing one leg more than the other, as well as determining if the patient becomes less reliant on the walker over time. Gait speed and distance traveled during use is measured by a wheel encoder. Data collected is sent into cloud storage where it is processed and saved. Saved data is then electronically communicated to the healthcare professional and the patient in two separate user interfaces. Healthcare professionals are able to help patients gage their rehabilitation progress more efficiently. Patients benefit by receiving feedback regarding their gait while they are not at a rehab facility, which assists against patients falling into of bad habits during the rehabilitation process.
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2

Ming, Dong, Xiuyun Liu, Yuegang Dai, Baikun Wan, Yong Hu, and K. D. K. Luk. "Indirect biomechanics measurement on shoulder joint moments of walker-assisted gait." In 2009 IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurements Systems (VECIMS). IEEE, 2009. http://dx.doi.org/10.1109/vecims.2009.5068917.

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3

Ming, Dong, Xiuyun Liu, Yanru Bai, Xingwei An, Hongzhi Qi, Baikun Wan, Yong Hu, and KDK Luk. "Upper extremity kinetics during walker-assisted gait of knee joint stiffness simulation." In 2010 IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems (VECIMS). IEEE, 2010. http://dx.doi.org/10.1109/vecims.2010.5609343.

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4

Sierra M., Sergio D., Mario F. Jimenez, Marcela C. Munera, Teodiano Bastos, Anselmo Frizera-Neto, and Carlos A. Cifuentes. "A Therapist Helping Hand for Walker-Assisted Gait Rehabilitation: A Pre-Clinical Assessment." In 2019 IEEE 4th Colombian Conference on Automatic Control (CCAC). IEEE, 2019. http://dx.doi.org/10.1109/ccac.2019.8920943.

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5

Frizera, Anselmo, Arlindo Elias, Antonio J. del-Ama, Ramon Ceres, and Teodiano Freire Bastos. "Characterization of spatio-temporal parameters of human gait assisted by a robotic walker." In 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2012). IEEE, 2012. http://dx.doi.org/10.1109/biorob.2012.6290264.

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6

Reich, Marcos, Teodiano Freire Bastos Filho, Anselmo Frizera, and Camilo A. R. Díaz. "POF Force Sensor for Human-Robot Interaction Strategies in Robotic Walker Assisted Gait." In Optical Fiber Sensors. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/ofs.2022.w4.76.

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Анотація:
This work proposes the development of a low-cost POF force sensor for human-robot interaction in smart walkers and helps to popularize assistive technologies. The sensor showed errors MAD 0.69 and RMSE 0.92.
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7

Sierra, Sergio D., Mario F. Jimenez, Marcela C. Munera, Anselmo Frizera-Neto, and Carlos A. Cifuentes. "Remote-Operated Multimodal Interface for Therapists During Walker-Assisted Gait Rehabilitation: A Preliminary Assessment." In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2019. http://dx.doi.org/10.1109/hri.2019.8673099.

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8

Papageorgiou, Xanthi S., Georgia Chalvatzaki, Konstantinos-Nektarios Lianos, Christian Werner, Klaus Hauer, Costas S. Tzafestas, and Petros Maragos. "Experimental validation of human pathological gait analysis for an assisted living intelligent robotic walker." In 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob). IEEE, 2016. http://dx.doi.org/10.1109/biorob.2016.7523776.

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Papageorgiou, Xanthi S., Georgia Chalvatzaki, Costas S. Tzafestas, and Petros Maragos. "Hidden markov modeling of human pathological gait using laser range finder for an assisted living intelligent robotic walker." In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2015. http://dx.doi.org/10.1109/iros.2015.7354283.

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Döhler, G. H. "A New Wavelength Selective FIR Detector with High Gain and Low Dark Currents." In Quantum Wells for Optics and Opto-Electronics. Washington, D.C.: Optica Publishing Group, 1989. http://dx.doi.org/10.1364/qwoe.1989.wb3.

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Some time ago a new FIR detector has been demonstrated by Levine, Choi, Bethea, Walker and Malik, which used the wavelength selective intersubband absorption and subsequent emission of electrons in a multiple quantum well (MQW) structure with an electric field applied in the direction normal to the layers /1/. A major drawback of this detector is the fact, that it is a majority carrier device. The photon-assisted field emission of electrons from the individual QW's causes positive space charge in the structure. In order to avoid a time- and optical-power dependent space charge, resulting in undesirable effects similar to those of space charge limited currents, rather high dark currents are required in order to maintain macroscopic neutrality in the system.
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