» Articles » PMID: 17946976

Limb Alignment and Kinematics Inside a Lokomat Robotic Orthosis

Overview
Date 2007 Oct 20
PMID 17946976
Citations 11
Authors
Affiliations
Soon will be listed here.
Abstract

The use of robotic gait training systems has become commonplace world-wide. In particular, the Lokomat robotic orthosis (Hocoma AG, Volketswil, Switzerland) is in use at nearly 75 facilities treating patients with spinal cord injury, stroke, and other neurological impairments. Despite the extensive use of the device, no studies have reported the leg kinematic trajectories while walking in the device. Furthermore, because the subject's legs are not rigidly coupled to the device, there is the potential for significant leg movement inside the device which also has not been reported. Here we report differences in kinematic trajectories between walking in the Lokomat and walking on a treadmill, as well as the relative limb motion within the Lokomat for a single representative subject. Using high-speed motion analysis, it was found that while similar knee and hip angle patterns were produced when walking on the treadmill and while walking in the Lokomat, there were significant differences (p<.0.01) in percent time spent in swing phase, maximum hip and knee flexion, and maximum hip extension. There was also a larger amount of misalignment at the hip (18.2 mm) than at the knees (12 mm) when the joint positions in space were compared.

Citing Articles

Human-Robot Joint Misalignment, Physical Interaction, and Gait Kinematic Assessment in Ankle-Foot Orthoses.

Andrade R, Figueiredo J, Fonseca P, Vilas-Boas J, Silva M, Santos C Sensors (Basel). 2024; 24(1).

PMID: 38203110 PMC: 10781370. DOI: 10.3390/s24010246.


Efficacy of Robot-Assisted Gait Therapy Compared to Conventional Therapy or Treadmill Training in Children with Cerebral Palsy: A Systematic Review with Meta-Analysis.

Cortes-Perez I, Gonzalez-Gonzalez N, Peinado-Rubia A, Nieto-Escamez F, Obrero-Gaitan E, Garcia-Lopez H Sensors (Basel). 2022; 22(24).

PMID: 36560281 PMC: 9785795. DOI: 10.3390/s22249910.


The Middleware for an Exoskeleton Assisting Upper Limb Movement.

Strzelczyk P, Tomczewski K, Wrobel K Sensors (Basel). 2022; 22(8).

PMID: 35458977 PMC: 9032928. DOI: 10.3390/s22082986.


Comparison of the effectiveness of partial body weight-supported treadmill exercises, robotic-assisted treadmill exercises, and anti-gravity treadmill exercises in spastic cerebral palsy.

Aras B, Yasar E, Kesikburun S, Turker D, Tok F, Yilmaz B Turk J Phys Med Rehabil. 2020; 65(4):361-370.

PMID: 31893273 PMC: 6935733. DOI: 10.5606/tftrd.2019.3078.


Increased gait variability during robot-assisted walking is accompanied by increased sensorimotor brain activity in healthy people.

Berger A, Horst F, Steinberg F, Thomas F, Muller-Eising C, Schollhorn W J Neuroeng Rehabil. 2019; 16(1):161.

PMID: 31882008 PMC: 6935063. DOI: 10.1186/s12984-019-0636-3.