Literature DB >> 6505028

Gait analysis techniques. Rancho Los Amigos Hospital gait laboratory.

J K Gronley, J Perry.   

Abstract

In the gait laboratory at Rancho Los Amigos Hospital, the emphasis is on patient testing to identify functional problems and determine the effectiveness of treatment programs. Footswitch stride analysis, dynamic EMG, energy-cost measurements, force plate, and instrumented motion analysis are the techniques most often used. Stride data define the temporal and distance factors of gait. We use this information to classify the patient's ability to walk and measure response to treatment programs. Inappropriate muscle action in the patient disabled by an upper motor neuron lesion is identified with dynamic EMG. Intramuscular wire electrodes are used to differentiate the action of adjacent muscles. We use the information to localize the source of abnormal function so that selection of treatment procedures is more precise. Force and motion data aid in determining the functional requirement and the muscular response necessary to meet the demand. Determining the optimum mode of locomotion and developing criteria for program planning have become more realistic with the aid of energy-cost measurements. Microprocessors and personal computer systems have made compact and reliable single-concept instrumentation available for basic gait analysis in the standard clinical environment at a modest cost. The more elaborate composite systems, however, still require custom instrumentation and engineering support.

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Year:  1984        PMID: 6505028     DOI: 10.1093/ptj/64.12.1831

Source DB:  PubMed          Journal:  Phys Ther        ISSN: 0031-9023


  4 in total

1.  Gait analysis detects early changes in transgenic SOD1(G93A) mice.

Authors:  Christine M Wooley; Roger B Sher; Ajit Kale; Wayne N Frankel; Gregory A Cox; Kevin L Seburn
Journal:  Muscle Nerve       Date:  2005-07       Impact factor: 3.217

2.  Healthy humans use sex-specific co-ordination patterns of trunk muscles during gait.

Authors:  C Anders; H Wagner; C Puta; R Grassme; H C Scholle
Journal:  Eur J Appl Physiol       Date:  2008-11-21       Impact factor: 3.078

Review 3.  Limb Prostheses: Industry 1.0 to 4.0: Perspectives on Technological Advances in Prosthetic Care.

Authors:  Silvia Ursula Raschke
Journal:  Front Rehabil Sci       Date:  2022-03-10

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

Authors:  Du-Xin Liu; Xinyu Wu; Wenbin Du; Can Wang; Tiantian Xu
Journal:  Sensors (Basel)       Date:  2016-09-27       Impact factor: 3.576

  4 in total

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