KeR-EGI, a new index of gait quantification based on electromyography

Abstract Purpose To define a new index of gait pathology in adults based on electromyographic data: the Ker-EGI for Kerpape-Rennes EMG-based Gait Index. The principle is similar to the one of Gait Deviation Index but using EMG profiles instead of joint angles. It first needs to build a database of h...

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Bibliographic Details
Published in:Journal of electromyography and kinesiology 2013-08, Vol.23 (4), p.930-937
Main Authors: Bervet, Kristell, Bessette, Manon, Godet, Lucille, Crétual, Armel
Format: Article
Language:English
Subjects:
Adult
Algorithms
Diagnosis, Computer-Assisted - methods
Edinburgh Visual Gait Score
Electromyography - methods
EMG-based gait quantification
Female
Gait
Gait analysis in adults
Gait Deviation Index
Gait Disorders, Neurologic - diagnosis
Gait Disorders, Neurologic - physiopathology
Human health and pathology
Humans
Life Sciences
Male
Muscle Contraction
Muscle, Skeletal - physiopathology
Physical Medicine and Rehabilitation
Reproducibility of Results
Rhumatology and musculoskeletal system
Sensitivity and Specificity
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Summary:Abstract Purpose To define a new index of gait pathology in adults based on electromyographic data: the Ker-EGI for Kerpape-Rennes EMG-based Gait Index. The principle is similar to the one of Gait Deviation Index but using EMG profiles instead of joint angles. It first needs to build a database of healthy subjects gait to be able then to quantify the deviation of one peculiar patient’s gait from this typical behavior. Methods Ninety adults (59 healthy and 31 pathological) participated to this study. All pathological subjects had a diagnosis of central nervous system disorder. On each subject we collected the joint angles and the activation profile of seven muscles of each lower limb. Moreover, we recorded two videos (face and profile) of each patient to compute his/her Edinburgh Visual Gait Score (EVGS). Then for each patient, we computed the GGI (Gillette Gait Index), the GDI (Gait Deviation Index) and the Ker-EGI. Results Correlation Ker-EGI and each of the three kinematical indices (GGI, GDI, EVGS) is fair to good (respectively R2 = 0.62, 0.42, and 0.69). Conclusion KeR-EGI is a valid index to evaluate gait and is complementary to one of these three kinematical indices providing synthetic vision on patients’ motor control abilities.
ISSN:1050-6411
1873-5711
DOI:10.1016/j.jelekin.2013.02.006