Metabolic Costs and Muscle Activity Patterns During Robotic- and Therapist-Assisted Treadmill Walking in Individuals With Incomplete Spinal Cord Injury

Israel, Jeffrey F; Campbell, Donielle D.; Kahn, Jennifer H.; Hornby, T. George

doi:10.2522/ptj.20050266

Cited by 285 publications

(222 citation statements)

References 50 publications

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“…The results from Israel et al's study indicate that similar muscle activation patterns and metabolic responses can be achieved in the Lokomat when compared with therapist-assisted training [35]. However, this finding only applies when the appropriate instructions or training conditions are given to the subject.…”

Section: Metabolic and Cardiac Responses During Robotic Gait Trainingmentioning

confidence: 69%

“…Israel et al published a recent study that compared muscle activation patterns and metabolic responses in individuals with incomplete SCI who walked on a treadmill with either therapist assistance or Lokomat assistance [35]. Twelve individuals classified as C or D on the American Spinal Injury Association (ASIA) Impairment Scale [ASIA, 2004] were tested on two separate sessions.…”

Section: Metabolic and Cardiac Responses During Robotic Gait Trainingmentioning

confidence: 99%

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Automating activity-based interventions: The role of robotics

Hidler¹

2008

JRRD

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Abstract-We have seen a continued growth of robotic devices being tested in neurorehabilitation settings over the last decade, with the primary goal to improve upper-and lowermotor function in individuals following stroke, spinal cord injury, and other neurological conditions. Interestingly, few studies have investigated the use of these devices in improving the overall health and well-being of these individuals despite the capability of robotic devices to deliver intensive timeunlimited therapy. In this article, we discuss the use of robotic devices in delivering intense, activity-based therapies that may have significant exercise benefits. We also present preliminary data from studies that investigated the metabolic and cardiac responses during and after 6 months of lower-limb robotic training. Finally, we speculate on the future of robotics and how these devices will affect rehabilitation interventions.

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Section: Metabolic and Cardiac Responses During Robotic Gait Trainingmentioning

confidence: 69%

Section: Metabolic and Cardiac Responses During Robotic Gait Trainingmentioning

confidence: 99%

Automating activity-based interventions: The role of robotics

Hidler¹

2008

JRRD

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“…All eight DOFs not only allow the exoskeleton to make a forward stepping motion (as provided by the Lokomat and the AutoAmbulator), but also maintain the fundamental instability of a standing or walking human. As such, balance control still has to be achieved when walking in the device, either by the human or (when necessary) by the robot, and is widely recognized as an important aspect of gait training [8], [20]. Table I describes which DOFs are possible for a human being, which of these are actuated in the robot, which are left free, and which are blocked.…”

Section: A Impedance Controlled Exoskeletonmentioning

confidence: 99%

Design and Evaluation of the LOPES Exoskeleton Robot for Interactive Gait Rehabilitation

Veneman

Kruidhof

Hekman

et al. 2007

IEEE Trans. Neural Syst. Rehabil. Eng.

1,112

496

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Abstract-This paper introduces a newly developed gait rehabilitation device. The device, called LOPES, combines a freely translatable and 2-D-actuated pelvis segment with a leg exoskeleton containing three actuated rotational joints: two at the hip and one at the knee. The joints are impedance controlled to allow bidirectional mechanical interaction between the robot and the training subject. Evaluation measurements show that the device allows both a "patient-in-charge" and "robot-in-charge" mode, in which the robot is controlled either to follow or to guide a patient, respectively. Electromyography (EMG) measurements (one subject) on eight important leg muscles, show that free walking in the device strongly resembles free treadmill walking; an indication that the device can offer task-specific gait training. The possibilities and limitations to using the device as gait measurement tool are also shown at the moment position measurements are not accurate enough for inverse-dynamical gait analysis.Index Terms-Body-weight supported treadmill training, exoskeleton robot, gait training device.

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“…Similarly, Hornby et al [12] found that Lokomat robot-assisted therapy in 62 patients with chronic stroke was not superior to the conventional gait training. Such inconsistent results in the Lokomat robot-assisted studies may result from different experimental design and testing methods utilized [10], lack of volitional neuromuscular control [14], restricted pelvic and trunk movement control [15,16], arm swing, as well as altered acceleration and deceleration from pre-swing to initial contact [17]. …”

Section: End-effector Type Of Robot-assisted Gait Trainingmentioning

confidence: 99%

A Review of Robot-Assisted Gait Training in Stroke Patients

Kim

You

2017

Brain Neurorehabil

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Highlights• End-effector type robot-assisted gait training systems were found to be more effective in locomotor recovery in stroke patients when they were applied in conjunction with conventional gait training rather than conventional gait training alone. However, this study does not confirm that the exoskeleton type robot-assisted gait training was more effective when it was applied in conjunction with the conventional gait training rather than the conventional gait training alone.• The robot-assisted gait training paradigm offers intensive, repetitive, accurate kinematic feedback and symmetrical gait practice while reducing the workload for the therapist, reducing the cost of stroke rehabilitation. ABSTRACTWhile a variety of robot-assisted gait training systems have been widely applied for locomotor rehabilitation in stroke patients, the best supporting evidence for robot-assisted gait training systems remains unknown. The purpose of this study was to provide the best robot-assisted gait training and clinical evidence by comparing the effects of exoskeleton and end-effector type robot-assisted gait training in stroke rehabilitation. The present study underwent a review of the literature to determine the best clinical evidence of the most commonly utilized robot-assisted gait training paradigms (end-effector and exoskeleton types) in stroke gait rehabilitation. The review corroborates the compelling evidence that combined robotassisted gait training was advantageous in stroke rehabilitation, as it offers additive special therapeutic effects that were not afforded by conventional therapy alone. Most importantly, the robot-assisted gait training paradigm provided more intensive, repetitive, accurate kinematic feedback and symmetrical gait practice, while reducing therapist labor, which is often not affordable in current stroke rehabilitation care. Both the robot-assisted gait training with either the end-effector type or exoskeleton type was beneficial for improving motor recovery, gait function, and balance in stroke patients when it was combined with the conventional physical therapy. The robot-assisted gait training should be used as an augmented gait intervention for stroke population.

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Metabolic Costs and Muscle Activity Patterns During Robotic- and Therapist-Assisted Treadmill Walking in Individuals With Incomplete Spinal Cord Injury

Abstract: Differences in metabolic costs and muscle activity patterns between therapist- and robotic-assisted standing and stepping illustrate the importance of minimizing passive guidance and stabilization provided during step training protocols.

Cited by 285 publications

References 50 publications

Automating activity-based interventions: The role of robotics

Automating activity-based interventions: The role of robotics

Design and Evaluation of the LOPES Exoskeleton Robot for Interactive Gait Rehabilitation

A Review of Robot-Assisted Gait Training in Stroke Patients

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