A flexible wearable sensor for knee flexion assessment during gait
Autor: | Yen Nee Bo, Alison H. McGregor, Enrica Papi |
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Přispěvatelé: | Engineering & Physical Science Research Council (EPSRC) |
Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
musculoskeletal diseases
Adult Male Computer science Biophysics MathematicsofComputing_NUMERICALANALYSIS Wearable computer ComputerApplications_COMPUTERSINOTHERSYSTEMS Knee kinematics Walking 01 natural sciences Motion capture Article 03 medical and health sciences Wearable Electronic Devices 0302 clinical medicine Gait (human) Approximation error medicine Humans Orthopedics and Sports Medicine Knee Gait Reliability (statistics) Simulation Wearable technology 1106 Human Movement And Sports Science business.industry 010401 analytical chemistry Rehabilitation Reproducibility of Results 1103 Clinical Sciences musculoskeletal system Sagittal plane Healthy Volunteers 0104 chemical sciences Biomechanical Phenomena body regions Orthopedics medicine.anatomical_structure Gait analysis Female Knee monitoring business human activities 030217 neurology & neurosurgery 0913 Mechanical Engineering |
Zdroj: | Gait & Posture |
ISSN: | 1879-2219 0966-6362 |
Popis: | Highlights • A wearable system to measure knee flexion is presented. • A validation is conducted against a standard motion capture system. • The novel system produced knee flexion angles in agreement with the gold standard. • Knee flexion angle were estimated with small margins of errors. • The novel system accuracy is comparable with systems described in the literature. Background Gait analysis plays an important role in the diagnosis and management of patients with movement disorders but it is usually performed within a laboratory. Recently interest has shifted towards the possibility of conducting gait assessments in everyday environments thus facilitating long-term monitoring. This is possible by using wearable technologies rather than laboratory based equipment. Research question This study aims to validate a novel wearable sensor system’s ability to measure peak knee sagittal angles during gait. Methods The proposed system comprises a flexible conductive polymer unit interfaced with a wireless acquisition node attached over the knee on a pair of leggings. Sixteen healthy volunteers participated to two gait assessments on separate occasions. Data was simultaneously collected from the novel sensor and a gold standard 10 camera motion capture system. The relationship between sensor signal and reference knee flexion angles was defined for each subject to allow the transformation of sensor voltage outputs to angular measures (degrees). The knee peak flexion angle from the sensor and reference system were compared by means of root mean square error (RMSE), absolute error, Bland-Altman plots and intra-class correlation coefficients (ICCs) to assess test-retest reliability. Results Comparisons of knee peak flexion angles calculated from the sensor and gold standard yielded an absolute error of 0.35(±2.9°) and RMSE of 1.2(±0.4)°. Good agreement was found between the two systems with the majority of data lying within the limits of agreement. The sensor demonstrated high test-retest reliability (ICCs>0.8). Significance These results show the ability of the sensor to monitor knee peak sagittal angles with small margins of error and in agreement with the gold standard system. The sensor has potential to be used in clinical settings as a discreet, unobtrusive wearable device allowing for long-term gait analysis. |
Databáze: | OpenAIRE |
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