NDLI: Unbiased and Mobile Gait Analysis Detects Motor Impairment in Parkinson's Disease

Content Provider	PubMed Central
Author	Klucken, Jochen Barth, Jens Kugler, Patrick Johannes, Schlachetzki Henze, Thore Marxreiter, Franz Kohl, Zacharias Steidl, Ralph Joachim, Hornegger Bjoern, Eskofier Winkler, Juergen
Editor	Toft, Mathias
Copyright Year	2013
Abstract	Motor impairments are the prerequisite for the diagnosis in Parkinson's disease (PD). The cardinal symptoms (bradykinesia, rigor, tremor, and postural instability) are used for disease staging and assessment of progression. They serve as primary outcome measures for clinical studies aiming at symptomatic and disease modifying interventions. One major caveat of clinical scores such as the Unified Parkinson Disease Rating Scale (UPDRS) or Hoehn&Yahr (H&Y) staging is its rater and time-of-assessment dependency. Thus, we aimed to objectively and automatically classify specific stages and motor signs in PD using a mobile, biosensor based Embedded Gait Analysis using Intelligent Technology (eGaIT). eGaIT consist of accelerometers and gyroscopes attached to shoes that record motion signals during standardized gait and leg function. From sensor signals 694 features were calculated and pattern recognition algorithms were applied to classify PD, H&Y stages, and motor signs correlating to the UPDRS-III motor score in a training cohort of 50 PD patients and 42 age matched controls. Classification results were confirmed in a second independent validation cohort (42 patients, 39 controls). eGaIT was able to successfully distinguish PD patients from controls with an overall classification rate of 81%. Classification accuracy increased with higher levels of motor impairment (91% for more severely affected patients) or more advanced stages of PD (91% for H&Y III patients compared to controls), supporting the PD-specific type of analysis by eGaIT. In addition, eGaIT was able to classify different H&Y stages, or different levels of motor impairment (UPDRS-III). In conclusion, eGaIT as an unbiased, mobile, and automated assessment tool is able to identify PD patients and characterize their motor impairment. It may serve as a complementary mean for the daily clinical workup and support therapeutic decisions throughout the course of the disease.
Related Links	http://dx.doi.org/10.1371/journal.pone.0056956
Starting Page	56956
File Format	PDF
ISSN	19326203
e-ISSN	19326203
Journal	PLoS ONE
Issue Number	2
Volume Number	8
Language	English
Publisher	Public Library of Science
Publisher Date	2013-02-01
Access Restriction	Open
Rights Holder	Public Library of Science
Subject Keyword	Biochemistry, Genetics and Molecular Biology(all) Agricultural and Biological Sciences(all) Medicine(all) Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Does Anxiety Cause Freezing of Gait in Parkinson's Disease?

Differential Neural Activation Patterns in Patients with Parkinson's Disease and Freezing of Gait in Response to Concurrent Cognitive and Motor Load

Detrended Fluctuation Analysis and Adaptive Fractal Analysis of Stride Time Data in Parkinson's Disease: Stitching Together Short Gait Trials

Motor Skill Learning, Retention, and Control Deficits in Parkinson's Disease

Diminished Activation of Motor Working-Memory Networks in Parkinson's Disease

Impairment of Vowel Articulation as a Possible Marker of Disease Progression in Parkinson's Disease

Mutational Analysis of Angiogenin Gene in Parkinson's Disease

A Cross-Study Transcriptional Analysis of Parkinson's Disease

Motor Subtype as a Predictor of Future Working Memory Performance in Idiopathic Parkinson's Disease

Unbiased and Mobile Gait Analysis Detects Motor Impairment in Parkinson's Disease

Similar Documents

Does Anxiety Cause Freezing of Gait in Parkinson's Disease?

Differential Neural Activation Patterns in Patients with Parkinson's Disease and Freezing of Gait in Response to Concurrent Cognitive and Motor Load

Detrended Fluctuation Analysis and Adaptive Fractal Analysis of Stride Time Data in Parkinson's Disease: Stitching Together Short Gait Trials

Motor Skill Learning, Retention, and Control Deficits in Parkinson's Disease

Diminished Activation of Motor Working-Memory Networks in Parkinson's Disease

Impairment of Vowel Articulation as a Possible Marker of Disease Progression in Parkinson's Disease

Mutational Analysis of Angiogenin Gene in Parkinson's Disease

A Cross-Study Transcriptional Analysis of Parkinson's Disease

Motor Subtype as a Predictor of Future Working Memory Performance in Idiopathic Parkinson's Disease

Unbiased and Mobile Gait Analysis Detects Motor Impairment in Parkinson's Disease