Agreement between Opal and G-Walk Wearable Inertial Systems in Gait Analysis on Normal and Pathological Subjects

Despite the growing use of different wearable inertial systems, increasingly diffused in clinical practice, there is still a lack of knowledge about the agreement between systems based also on different sensor configuration. Aim of the study has been the investigation of the agreement between Opal and G-Walk wearable inertial systems in gait analysis on normal and post stroke subjects. Although both systems are able to describe significant gait differences in the two populations, study results suggest that gait analysis evaluations carried out by different inertial systems does not give completely overlapping estimation about the different parameters and that this must be taken in correct account especially comparing results of clinical trials obtained by different systems and sensor’s placements.

[1]  Paolo Bifulco,et al.  Validity and reliability of textile system Sensoria for posturographic measurements. , 2017, Giornale italiano di medicina del lavoro ed ergonomia.

[2]  P. Bifulco,et al.  Efficacy of the Regent Suit-based rehabilitation on gait EMG patterns in hemiparetic subjects: a pilot study. , 2018, European journal of physical and rehabilitation medicine.

[3]  Tao Liu,et al.  Gait Analysis Using Wearable Sensors , 2012, Sensors.

[4]  Maria Romano,et al.  A hybrid decomposition method to infer the sub-movements composition of planar reaching movements , 2017 .

[5]  Huiru Zheng,et al.  Position-sensing technologies for movement analysis in stroke rehabilitation , 2005, Medical and Biological Engineering and Computing.

[7]  Maria Romano,et al.  Submovements composition and quality assessment of reaching movements in subjects with Parkinson's Disease , 2015, 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings.

[8]  Douglas G. Altman,et al.  Measurement in Medicine: The Analysis of Method Comparison Studies , 1983 .

[9]  D. Altman,et al.  Measuring agreement in method comparison studies , 1999, Statistical methods in medical research.

[10]  Maria Romano,et al.  Analysis of reaching movements of upper arm in robot assisted exercises. Kinematic assessment of robot assisted upper arm reaching single-joint movements. , 2016, Giornale italiano di medicina del lavoro ed ergonomia.

[11]  D. Altman,et al.  STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.

[12]  Luigi Iuppariello,et al.  New posturographic assessment by means of novel e-textile and wireless socks device , 2016, 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

[13]  Tsuyoshi Murata,et al.  {m , 1934, ACML.