신발기반형 관성센서를 이용한 전정신경염 환자의 보행 분석: 예비 연구 = Shoe-Type Wearable Sensors Measure Gait Parameters in Vestibular Neuritis: A Preliminary Study

다국어 초록 (Multilingual Abstract)

Objectives: Despite patients with dizziness were reported of revealing gait pro-blems, there is still lack of objective quantitative measurement of gait patterns of peripheral vestibular disorders. To demonstrate gait variability in acute uni-lateral peripheral vestibular deficit, we evaluated the differences in gait patterns between vestibular neuritis (VN) patients and healthy subjects by the use of shoe-type inertial measurement unit (IMU) with sensors mounted.Methods: Between April 2017 and January 2019, 30 patients diagnosed with uni-lateral peripheral vestibular deficit presumed to be caused by VN were enrolled in this study. The shoe-type IMU was used to analysis subjects. We assessed gait speed, cadence, stride length, stance phase, normalized stride length, normalized step length, phase coordination index and gait asymmetry of data from shoe-type IMU sensors with the walking protocol. We tested 30 healthy volunteers as con-trol group.Results: We identified spatiotemporal parameters of human gait. The gait speed of patients with VN was decreased to 3.82±0.8 compared to 4.93±1.08 in control group. In addition, there were differences in normalized stride length, normalized gait speed and related gait parameters, when comparing VN group and control group. Conclusion: Gait analysis by the use of shoe-type IMU could provide important information regarding vestibular pathophysiology in patients with VN. Gait per-formance tests can examine gait variability quantitatively. It will be taken into consideration as a vestibular function test for patients with vertigo.

참고문헌 (Reference)

1 Halmagyi GM, "Vestibular function after acute vestibular neuritis" 28 : 37-46, 2010

2 Bent LR, "Vestibular contributions during human locomotor tasks" 33 : 107-113, 2005

3 Lee M, "Validity of shoe-type inertial measurement units for Parkinson's disease patients during treadmill walking" 15 : 38-, 2018

4 Iosa M, "The golden ratio of gait harmony: repetitive proportions of repetitive gait phases" 2013 : 918642-, 2013

5 Wuehr M, "Sensory loss and walking speed related factors for gait alterations in patients with peripheral neuropathy" 39 : 852-858, 2014

6 Bisdorff AR, "Overview of the International Classification of Vestibular Disorders" 33 : 541-550, 2015

7 Hollman JH, "Normative spatiotemporal gait parameters in older adults" 34 : 111-118, 2011

8 Del Din S, "Measuring gait with an accelerometer-based wearable:influence of device location, testing protocol and age" 37 : 1785-1797, 2016

9 Papathanasiou ES, "International guidelines for the clinical application of cervical vestibular evoked myogenic potentials: an expert consensus report" 125 : 658-666, 2014

10 Angunsri N, "Gait instability caused by vestibular disorders-analysis by tactile sensor" 38 : 462-468, 2011

11 Williams AJ, "Gait coordination in Parkinson disease: effects of step length and cadence manipulations" 38 : 340-344, 2013

12 Schniepp R, "Gait ataxia in humans:vestibular and cerebellar control of dynamic stability" 264 (264): 87-92, 2017

13 Muro-de-la-Herran A, "Gait analysis methods: an overview of wearable and non-wearable systems, highlighting clinical applications" 14 : 3362-3394, 2014

14 Plotnik M, "Effects of walking speed on asymmetry and bilateral coordination of gait" 38 : 864-869, 2013

15 Seidel DU, "Diagnoses of dizziness- and vertigo-related disorders in ENT practices in Germany" 39 : 474-480, 2018

16 Egerton T, "Comparison of gait in progressive supranuclear palsy, Parkinson's disease and healthy older adults" 12 : 116-, 2012

17 Gimmon Y, "Central not peripheral vestibular processing impairs gait coordination" 235 : 3345-3355, 2017

18 Bauby CE, "Active control of lateral balance in human walking" 33 : 1433-1440, 2000

19 Kim SC, "A quantitative analysis of gait patterns in vestibular neuritis patients using gyroscope sensor and a continuous walking protocol" 11 : 58-, 2014

20 Plotnik M, "A new measure for quantifying the bilateral coordination of human gait: effects of aging and Parkinson's disease" 181 : 561-570, 2007