Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly

Details

Serval ID
serval:BIB_BC96EDE429E0
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly
Journal
IEEE Transactions on Biomedical Engineering
Author(s)
Najafi  B., Aminian  K., Paraschiv-Ionescu  A., Loew  F., Bula  C. J., Robert  P.
ISSN
0018-9294 (Print)
Publication state
Published
Issued date
06/2003
Volume
50
Number
6
Pages
711-23
Notes
Comparative Study
Evaluation Studies
Journal Article
Research Support, Non-U.S. Gov't
Validation Studies --- Old month value: Jun
Abstract
A new method of physical activity monitoring is presented, which is able to detect body postures (sitting, standing, and lying) and periods of walking in elderly persons using only one kinematic sensor attached to the chest. The wavelet transform, in conjunction with a simple kinematics model, was used to detect different postural transitions (PTs) and walking periods during daily physical activity. To evaluate the system, three studies were performed. The method was first tested on 11 community-dwelling elderly subjects in a gait laboratory where an optical motion system (Vicon) was used as a reference system. In the second study, the system was tested for classifying PTs (i.e., lying-to-sitting, sitting-to-lying, and turning the body in bed) in 24 hospitalized elderly persons. Finally, in a third study monitoring was performed on nine elderly persons for 45-60 min during their daily physical activity. Moreover, the possibility-to-perform long-term monitoring over 12 h has been shown. The first study revealed a close concordance between the ambulatory and reference systems. Overall, subjects performed 349 PTs during this study. Compared with the reference system, the ambulatory system had an overall sensitivity of 99% for detection of the different PTs. Sensitivities and specificities were 93% and 82% in sit-to-stand, and 82% and 94% in stand-to-sit, respectively. In both first and second studies, the ambulatory system also showed a very high accuracy (> 99%) in identifying the 62 transfers or rolling out of bed, as well as 144 different posture changes to the back, ventral, right and left sides. Relatively high sensitivity (> 90%) was obtained for the classification of usual physical activities in the third study in comparison with visual observation. Sensitivities and specificities were, respectively, 90.2% and 93.4% in sitting, 92.2% and 92.1% in "standing + walking," and, finally, 98.4% and 99.7% in lying. Overall detection errors (as percent of range) were 3.9% for "standing + walking," 4.1% for sitting, and 0.3% for lying. Finally, overall symmetric mean average errors were 12% for "standing + walking," 8.2% for sitting, and 1.3% for lying.
Keywords
Acceleration *Activities of Daily Living Aged Aged, 80 and over/physiology Algorithms Equipment Design Female Health Services for the Aged Humans Male Monitoring, Ambulatory/*instrumentation/*methods Movement/*physiology Posture/*physiology Prone Position/physiology Reproducibility of Results Rotation Sensitivity and Specificity Signal Processing, Computer-Assisted Thorax/physiology Transducers Walking/physiology
Pubmed
Web of science
Create date
24/01/2008 17:35
Last modification date
20/08/2019 16:30
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