A Personalized Approach to Improve Walking Detection in Real-Life Settings: Application to Children with Cerebral Palsy.

Details

Serval ID
serval:BIB_99577C44014A
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
A Personalized Approach to Improve Walking Detection in Real-Life Settings: Application to Children with Cerebral Palsy.
Journal
Sensors
Author(s)
Carcreff L., Paraschiv-Ionescu A., Gerber C.N., Newman C.J., Armand S., Aminian K.
ISSN
1424-8220 (Electronic)
ISSN-L
1424-8220
Publication state
Published
Issued date
03/12/2019
Peer-reviewed
Oui
Volume
19
Number
23
Language
english
Notes
Publication types: Journal Article ; Observational Study
Publication Status: epublish
Abstract
Although many methods have been developed to detect walking by using body-worn inertial sensors, their performances decline when gait patterns become abnormal, as seen in children with cerebral palsy (CP). The aim of this study was to evaluate if fine-tuning an existing walking bouts (WB) detection algorithm by various thresholds, customized at the individual or group level, could improve WB detection in children with CP and typical development (TD). Twenty children (10 CP, 10 TD) wore 4 inertial sensors on their lower limbs during laboratory and out-laboratory assessments. Features extracted from the gyroscope signals recorded in the laboratory were used to tune thresholds of an existing walking detection algorithm for each participant (individual-based personalization: Indiv) or for each group (population-based customization: Pop). Out-of-laboratory recordings were analyzed for WB detection with three versions of the algorithm (i.e., original fixed thresholds and adapted thresholds based on the Indiv and Pop methods), and the results were compared against video reference data. The clinical impact was assessed by quantifying the effect of WB detection error on the estimated walking speed distribution. The two customized Indiv and Pop methods both improved WB detection (higher, sensitivity, accuracy and precision), with the individual-based personalization showing the best results. Comparison of walking speed distribution obtained with the best of the two methods showed a significant difference for 8 out of 20 participants. The personalized Indiv method excluded non-walking activities that were initially wrongly interpreted as extremely slow walking with the initial method using fixed thresholds. Customized methods, particularly individual-based personalization, appear more efficient to detect WB in daily-life settings.
Keywords
Adolescent, Algorithms, Biomechanical Phenomena, Cerebral Palsy/diagnosis, Cerebral Palsy/rehabilitation, Child, Cross-Sectional Studies, Female, Gait, Gait Disorders, Neurologic/diagnosis, Humans, Male, Monitoring, Ambulatory/instrumentation, Monitoring, Ambulatory/methods, Reproducibility of Results, Walking/physiology, Walking Speed, Young Adult, cerebral palsy, gait detection, inertial sensors, personalization, walking bout
Pubmed
Web of science
Open Access
Yes
Create date
15/12/2019 18:18
Last modification date
18/06/2020 6:21
Usage data