NDLI: Automatic Identification and Classification of Freezing of Gait Episodes in Parkinson's Disease Patients

Content Provider	IEEE Xplore Digital Library
Author	Djuric-Jovicic, M.D. Jovicic, N.S. Radovanovic, S.M. Stankovic, I.D. Popovic, M.B. Kostic, V.S.
Copyright Year	2001
Abstract	Alternation of walking pattern decreases quality of life and may result in falls and injuries. Freezing of gait (FOG) in Parkinson's disease (PD) patients occurs occasionally and intermittently, appearing in a random, inexplicable manner. In order to detect typical disturbances during walking, we designed an expert system for automatic classification of various gait patterns. The proposed method is based on processing of data obtained from an inertial sensor mounted on shank. The algorithm separates normal from abnormal gait using Pearson's correlation and describes each stride by duration, shank displacement, and spectral components. A rule-based data processing classifies strides as normal, short (short⁺) or very short (short^-) strides, FOG with tremor (FOG⁺) or FOG with complete motor block (FOG^-). The algorithm also distinguishes between straight and turning strides. In 12 PD patients, FOG⁺ and FOG^- were identified correctly in 100% of strides, while normal strides were recognized in 95% of cases. Short⁺ and short^- strides were identified in about 84% and 78%. Turning strides were correctly identified in 88% of cases. The proposed method may be used as an expert system for detailed stride classification, providing warning for severe FOG episodes and near-fall situations.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	10
File Size	1774674
Starting Page	685
Ending Page	694
File Format	PDF
ISSN	15344320
Volume Number	22
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Legged locomotion Classification algorithms Correlation Accelerometers Parkinson's disease Algorithm design and analysis Educational institutions Parkinson's disease (PD) Freezing of gait (FOG) gait analysis gait disturbances inertial sensors
Content Type	Text
Resource Type	Article
Subject	Neuroscience Rehabilitation Internal Medicine Biomedical Engineering Computer Science Applications

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