A flexible wearable sensor for knee flexion assessment during gait

Autor: Yen Nee Bo, Alison H. McGregor, Enrica Papi
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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