Search Results - "Journal of neuroengineering and rehabilitation"

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  1. 1

    Systematic review on wearable lower-limb exoskeletons for gait training in neuromuscular impairments by Rodríguez-Fernández, Antonio, Lobo-Prat, Joan, Font-Llagunes, Josep M.

    ISSN: 1743-0003, 1743-0003
    Published: London BioMed Central 01.02.2021
    “…Gait disorders can reduce the quality of life for people with neuromuscular impairments. Therefore, walking recovery is one of the main priorities for…”
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    Journal Article
  2. 2

    Review of control strategies for lower-limb exoskeletons to assist gait by Baud, Romain, Manzoori, Ali Reza, Ijspeert, Auke, Bouri, Mohamed

    ISSN: 1743-0003, 1743-0003
    Published: London BioMed Central 27.07.2021
    “…Background Many lower-limb exoskeletons have been developed to assist gait, exhibiting a large range of control methods. The goal of this paper is to review…”
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    Journal Article
  3. 3

    The exoskeleton expansion: improving walking and running economy by Sawicki, Gregory S., Beck, Owen N., Kang, Inseung, Young, Aaron J.

    ISSN: 1743-0003, 1743-0003
    Published: London BioMed Central 19.02.2020
    “…Since the early 2000s, researchers have been trying to develop lower-limb exoskeletons that augment human mobility by reducing the metabolic cost of walking…”
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  4. 4

    Rehabilitation robots for the treatment of sensorimotor deficits: a neurophysiological perspective by Gassert, Roger, Dietz, Volker

    ISSN: 1743-0003, 1743-0003
    Published: London BioMed Central 05.06.2018
    “…The past decades have seen rapid and vast developments of robots for the rehabilitation of sensorimotor deficits after damage to the central nervous system…”
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  5. 5

    Brain–computer interface robotics for hand rehabilitation after stroke: a systematic review by Baniqued, Paul Dominick E., Stanyer, Emily C., Awais, Muhammad, Alazmani, Ali, Jackson, Andrew E., Mon-Williams, Mark A., Mushtaq, Faisal, Holt, Raymond J.

    ISSN: 1743-0003, 1743-0003
    Published: London BioMed Central 23.01.2021
    “…Background Hand rehabilitation is core to helping stroke survivors regain activities of daily living. Recent studies have suggested that the use of…”
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  6. 6

    Validity and reliability of wearable inertial sensors in healthy adult walking: a systematic review and meta-analysis by Kobsar, Dylan, Charlton, Jesse M., Tse, Calvin T.F., Esculier, Jean-Francois, Graffos, Angelo, Krowchuk, Natasha M., Thatcher, Daniel, Hunt, Michael A.

    ISSN: 1743-0003, 1743-0003
    Published: London BioMed Central 11.05.2020
    “…Background Inertial measurement units (IMUs) offer the ability to measure walking gait through a variety of biomechanical outcomes (e.g., spatiotemporal,…”
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  7. 7

    A systematic review of the applications of markerless motion capture (MMC) technology for clinical measurement in rehabilitation by Lam, Winnie W. T., Tang, Yuk Ming, Fong, Kenneth N. K.

    ISSN: 1743-0003, 1743-0003
    Published: London BioMed Central 02.05.2023
    “…Background Markerless motion capture (MMC) technology has been developed to avoid the need for body marker placement during motion tracking and analysis of…”
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  8. 8

    Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment by Maceira-Elvira, Pablo, Popa, Traian, Schmid, Anne-Christine, Hummel, Friedhelm C.

    ISSN: 1743-0003, 1743-0003
    Published: London BioMed Central 19.11.2019
    “…Stroke is one of the main causes of long-term disability worldwide, placing a large burden on individuals and society. Rehabilitation after stroke consists of…”
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  9. 9

    Soft robotic devices for hand rehabilitation and assistance: a narrative review by Chu, Chia-Ye, Patterson, Rita M.

    ISSN: 1743-0003, 1743-0003
    Published: London BioMed Central 17.02.2018
    “…Introduction The debilitating effects on hand function from a number of a neurologic disorders has given rise to the development of rehabilitative robotic…”
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  10. 10

    Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation by Song, Seungmoon, Kidziński, Łukasz, Peng, Xue Bin, Ong, Carmichael, Hicks, Jennifer, Levine, Sergey, Atkeson, Christopher G., Delp, Scott L.

    ISSN: 1743-0003, 1743-0003
    Published: London BioMed Central 16.08.2021
    “…Modeling human motor control and predicting how humans will move in novel environments is a grand scientific challenge. Researchers in the fields of…”
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  11. 11

    Control strategies used in lower limb exoskeletons for gait rehabilitation after brain injury: a systematic review and analysis of clinical effectiveness by de Miguel-Fernández, Jesús, Lobo-Prat, Joan, Prinsen, Erik, Font-Llagunes, Josep M., Marchal-Crespo, Laura

    ISSN: 1743-0003, 1743-0003
    Published: London BioMed Central 19.02.2023
    “…Background In the past decade, there has been substantial progress in the development of robotic controllers that specify how lower-limb exoskeletons should…”
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  12. 12

    Control strategies for active lower extremity prosthetics and orthotics: a review by Tucker, Michael R, Olivier, Jeremy, Pagel, Anna, Bleuler, Hannes, Bouri, Mohamed, Lambercy, Olivier, Millán, José del R, Riener, Robert, Vallery, Heike, Gassert, Roger

    ISSN: 1743-0003, 1743-0003
    Published: London BioMed Central 05.01.2015
    “…Technological advancements have led to the development of numerous wearable robotic devices for the physical assistance and restoration of human locomotion…”
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  13. 13

    Immediate and long-term effects of BCI-based rehabilitation of the upper extremity after stroke: a systematic review and meta-analysis by Bai, Zhongfei, Fong, Kenneth N. K., Zhang, Jack Jiaqi, Chan, Josephine, Ting, K. H.

    ISSN: 1743-0003, 1743-0003
    Published: London BioMed Central 25.04.2020
    “…Background A substantial number of clinical studies have demonstrated the functional recovery induced by the use of brain-computer interface (BCI) technology…”
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  14. 14

    Compliant lower limb exoskeletons: a comprehensive review on mechanical design principles by Sanchez-Villamañan, Maria del Carmen, Gonzalez-Vargas, Jose, Torricelli, Diego, Moreno, Juan C., Pons, Jose L.

    ISSN: 1743-0003, 1743-0003
    Published: London BioMed Central 09.05.2019
    “…Exoskeleton technology has made significant advances during the last decade, resulting in a considerable variety of solutions for gait assistance and…”
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  15. 15

    Upper limb soft robotic wearable devices: a systematic review by Bardi, Elena, Gandolla, Marta, Braghin, Francesco, Resta, Ferruccio, Pedrocchi, Alessandra L. G., Ambrosini, Emilia

    ISSN: 1743-0003, 1743-0003
    Published: London BioMed Central 10.08.2022
    “…Introduction Soft robotic wearable devices, referred to as exosuits, can be a valid alternative to rigid exoskeletons when it comes to daily upper limb…”
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  16. 16

    Immersive virtual reality during gait rehabilitation increases walking speed and motivation: a usability evaluation with healthy participants and patients with multiple sclerosis and stroke by Winter, Carla, Kern, Florian, Gall, Dominik, Latoschik, Marc Erich, Pauli, Paul, Käthner, Ivo

    ISSN: 1743-0003, 1743-0003
    Published: London BioMed Central 22.04.2021
    “…Background The rehabilitation of gait disorders in patients with multiple sclerosis (MS) and stroke is often based on conventional treadmill training. Virtual…”
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  17. 17

    On the analysis of movement smoothness by Balasubramanian, Sivakumar, Melendez-Calderon, Alejandro, Roby-Brami, Agnes, Burdet, Etienne

    ISSN: 1743-0003, 1743-0003
    Published: London BioMed Central 09.12.2015
    “…Quantitative measures of smoothness play an important role in the assessment of sensorimotor impairment and motor learning. Traditionally, movement smoothness…”
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  18. 18

    Generative adversarial networks in EEG analysis: an overview by Habashi, Ahmed G., Azab, Ahmed M., Eldawlatly, Seif, Aly, Gamal M.

    ISSN: 1743-0003, 1743-0003
    Published: London BioMed Central 11.04.2023
    “…Electroencephalogram (EEG) signals have been utilized in a variety of medical as well as engineering applications. However, one of the challenges associated…”
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  19. 19

    Learning and transfer of complex motor skills in virtual reality: a perspective review by Levac, Danielle E., Huber, Meghan E., Sternad, Dagmar

    ISSN: 1743-0003, 1743-0003
    Published: London BioMed Central 18.10.2019
    “…The development of more effective rehabilitative interventions requires a better understanding of how humans learn and transfer motor skills in real-world…”
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  20. 20

    Mobility related physical and functional losses due to aging and disease - a motivation for lower limb exoskeletons by Grimmer, Martin, Riener, Robert, Walsh, Conor James, Seyfarth, André

    ISSN: 1743-0003, 1743-0003
    Published: London BioMed Central 03.01.2019
    “…Background Physical and functional losses due to aging and diseases decrease human mobility, independence, and quality of life. This study is aimed at…”
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