The Smart-Insole Dataset: Gait Analysis Using Wearable Sensors with a Focus on Elderly and Parkinson's Patients

被引：47

作者：

Chatzaki, Chariklia ^{[1
]}

Skaramagkas, Vasileios ^{[2
]}

Tachos, Nikolaos ^{[3
,4
]}

Christodoulakis, Georgios ^{[2
]}

Maniadi, Evangelia ^{[1
]}

Kefalopoulou, Zinovia ^{[5
]}

Fotiadis, Dimitrios I. ^{[3
,4
]}

Tsiknakis, Manolis ^{[1
,2
]}

机构：

[1] Hellen Mediterranean Univ, Dept Elect & Comp Engn, Biomed Informat & EHlth Lab, Iraklion 71004, Greece

[2] Fdn Res & Technol Hellas, Inst Comp Sci, Computat BioMed Lab, Iraklion 71110, Greece

[3] Univ Ioannina, Dept Mat Sci & Engn, Unit Med Technol & Intelligent Informat Syst, Ioannina 45110, Greece

[4] Fdn Res & Technol Hellas, Inst Mol Biol & Biotechnol, Dept Biomed Res, Ioannina 45110, Greece

[5] Patras Univ Hosp, Neurol Dept, Patras 26404, Greece

来源：

SENSORS | 2021年 / 21卷 / 08期

关键词：

gait analysis; Parkinson’ s disease; insoles; pressure sensors; dataset; RELIABILITY; CLASSIFICATION; VALIDATION; BALANCE; TESTS;

D O I：

10.3390/s21082821

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Gait analysis is crucial for the detection and management of various neurological and musculoskeletal disorders. The identification of gait events is valuable for enhancing gait analysis, developing accurate monitoring systems, and evaluating treatments for pathological gait. The aim of this work is to introduce the Smart-Insole Dataset to be used for the development and evaluation of computational methods focusing on gait analysis. Towards this objective, temporal and spatial characteristics of gait have been estimated as the first insight of pathology. The Smart-Insole dataset includes data derived from pressure sensor insoles, while 29 participants (healthy adults, elderly, Parkinson's disease patients) performed two different sets of tests: The Walk Straight and Turn test, and a modified version of the Timed Up and Go test. A neurologist specialized in movement disorders evaluated the performance of the participants by rating four items of the MDS-Unified Parkinson's Disease Rating Scale. The annotation of the dataset was performed by a team of experienced computer scientists, manually and using a gait event detection algorithm. The results evidence the discrimination between the different groups, and the verification of established assumptions regarding gait characteristics of the elderly and patients suffering from Parkinson's disease.

引用

页数：22

共 52 条

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