Gait Analysis using Wearable Sensors with Multiple Sclerosis Patients

• Main Authors: Nikola Mijailovic, Ana Divjak, Jasmin Nurkovic, Radivoje Radakovic, Marija Gacic, Vesna Grbovic, Nenad Filipovic, Aleksandra Jurisic Skevin
• Format: Article
• Language: English
• Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2018-01-01
• Series: Tehnički Vjesnik
• Subjects: cross-correlation coefficient; gait analysis; multiple sclerosis; wearable sensor
• Online Access: https://hrcak.srce.hr/file/302802
• ISSN: 1330-3651; 1848-6339

In this study we investigated gait measurement with wearable sensor for subjects with and without multiple sclerosis (MS) and evaluation gait function.The gait function was measured with Avatar sensors system in 3 patients with MS and in 3 healthy subjects without MS. The system consists of a main sensor node and three additional fixtures. Each sensor node is wearing three-axial accelerometer and two-axis gyroscope. Cross-correlation analysis with the walk signal was applied.Coefficient values from cross-correlation are determined for all 6 subjects. Then for a new unknown subject the cross-correlation was applied and the mean value cross-correlation for healthy subjects was 0.0477, while in MS subjects this value was 0.0207. A proven validation for this small training system has shown the evidence for different gait analysis for MS and healthy subjects.This small study opens a new avenue for clinical diagnosis of potential MS subjects while wearable sensor can provide an objective framework for assessing gait abnormality. The measured data can provide better understanding on the progression of the disease and response to treatment.