NDLI: Gait phase detection in able-bodied subjects and dementia patients

Content Provider	IEEE Xplore Digital Library
Author	Xiaoli Meng Haoyong Yu Ming Po Tham
Copyright Year	2013
Description	Author affiliation: Dept. of Bioeng., Nat. Univ. of Singapore, Singapore, Singapore (Xiaoli Meng; Haoyong Yu) \|\| Eng. Design & Innovation Center (EDIC), Nat. Univ. of Singapore, Singapore, Singapore (Ming Po Tham)
Abstract	Accurate detection of gait phases allows identification of specific functional deficits at each phase of the gait cycle for motor function assessment. This paper proposes a robust gait phase detection method to identify the seven gait phases in overground walking for normal and pathologic gaits. Four inertial sensors are used to obtain knee angles, tibia angles and feet angular rate patterns in the sagittal plane. The key events segmenting the gait cycles are searched using an adaptive threshold in adaptive searching intervals to make sure it works well for different subjects with high variation in cadence and step length during walking. The subjects involved in this study are categorized into three groups: five healthy adult subjects, two healthy elderly subjects and two severe dementia patients. The experimental results have shown our method can reliably detect all gait phases for able-bodied subjects and dementia patients without subject-specific calibration.
Starting Page	4907
Ending Page	4910
File Size	213948
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6610648
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Dementia Senior citizens Foot Legged locomotion Angular velocity Sensors Knee
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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