Monitoring of Gait Quality in Patients With Chronic Pain of Lower Limbs.

Details

Serval ID
serval:BIB_F4D516856002
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Monitoring of Gait Quality in Patients With Chronic Pain of Lower Limbs.
Journal
IEEE transactions on neural systems and rehabilitation engineering
Author(s)
Terrier P., Le Carre J., Connaissa M.L., Leger B., Luthi F.
ISSN
1558-0210 (Electronic)
ISSN-L
1534-4320
Publication state
Published
Issued date
10/2017
Peer-reviewed
Oui
Volume
25
Number
10
Pages
1843-1852
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
Severe injuries of lower extremities often lead to chronic pain and reduced walking abilities. We postulated that measuring free-living gait can provide further information about walking ability in complement to clinical evaluations. We sought to validate a method that characterizes free gaits with a wearable sensor. Over one week, 81 healthy controls (HC) and 66 chronic lower limb pain patients (CLLPP) hospitalized for multidisciplinary rehabilitation wore a simple accelerometer (Actigraph). In the acceleration signals, steady 1-min walks detected numbered 7,835 (5,085 in CLLPP and 2,750 in HC). Five gait quality measures were assessed: movement intensity, cadence, stride regularity, and short-term and long-term local dynamic stability. Gait quality variables differed significantly between CLLPP and HC (4%-26%). Intraclass correlation coefficients revealed moderate to high repeatability (0.71-0.91), which suggests that seven days of measurement are sufficient to assess average gait patterns. Regression analyses showed significant association (R(2) = 0.44) between the gait quality variables and a clinical evaluation of walking ability, i.e., the 6-min walk test. Overall, the results show that the method is easy to implement, valid (high concurrent validity), and reliable to assess walking abilities ecologically.

Pubmed
Create date
25/07/2017 17:23
Last modification date
20/08/2019 17:21
Usage data