Difference between revisions of "Publications:A new measure of movement symmetry in early Parkinson's disease patients using symbolic processing of inertial sensor data"

From ISLAB/CAISR
Jump to navigationJump to search
(Created page with "<div style='display: none'> == Do not edit this section == </div> {{PublicationSetupTemplate|Author=Anita Sant'Anna, Arash Salarian, Nicholas Wickström |PID=427611 |Name=Sant...")
 
 
Line 4: Line 4:
 
{{PublicationSetupTemplate|Author=Anita Sant'Anna, Arash Salarian, Nicholas Wickström
 
{{PublicationSetupTemplate|Author=Anita Sant'Anna, Arash Salarian, Nicholas Wickström
 
|PID=427611
 
|PID=427611
|Name=Sant'Anna, Anita [anisan] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938], Laboratoriet för intelligenta system [6703]);Salarian, Arash (Oregon Health and Science Univeristy) (Balance Disorders Laboratory);Wickström, Nicholas [nicholas] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938], Laboratoriet för intelligenta system [6703])
+
|Name=Sant'Anna, Anita (anisan) (0000-0002-3495-2961) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), Laboratoriet för intelligenta system (6703));Salarian, Arash (Oregon Health and Science Univeristy) (Balance Disorders Laboratory);Wickström, Nicholas (nicholas) (0000-0002-4143-2948) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), Laboratoriet för intelligenta system (6703))
 
|Title=A new measure of movement symmetry in early Parkinson's disease patients using symbolic processing of inertial sensor data
 
|Title=A new measure of movement symmetry in early Parkinson's disease patients using symbolic processing of inertial sensor data
 
|PublicationType=Journal Paper
 
|PublicationType=Journal Paper
Line 55: Line 55:
 
|CreatedDate=2011-06-28
 
|CreatedDate=2011-06-28
 
|PublicationDate=2011-09-09
 
|PublicationDate=2011-09-09
|LastUpdated=2012-04-18
+
|LastUpdated=2016-03-09
 
|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:427611}}
 
|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:427611}}
 
<div style='display: none'>
 
<div style='display: none'>

Latest revision as of 21:40, 30 September 2016

Do not edit this section

Property "Publisher" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user.

Keep all hand-made modifications below

Title A new measure of movement symmetry in early Parkinson's disease patients using symbolic processing of inertial sensor data
Author
Year 2011
PublicationType Journal Paper
Journal IEEE Transactions on Biomedical Engineering
HostPublication
Conference
DOI http://dx.doi.org/10.1109/TBME.2011.2149521
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:427611
Abstract

Movement asymmetry is one of the motor symptoms associated with Parkinson's Disease (PD). Therefore, being able to detect and measure movement symmetry is important for monitoring the patient's condition.

The present paper introduces a novel symbol based symmetry index calculated from inertial sensor data. The method is explained, evaluated and compared to six other symmetry measures. These measures were used to determine the symmetry of both upper and lower limbs during walking of 11 early-to-mid-stage PD patients and 15 control subjects. The patients included in the study showed minimal motor abnormalities according to the Unified Parkinson's Disease Rating Scale (UPDRS).

The symmetry indices were used to classify subjects into two different groups corresponding to PD or control. The proposed method presented high sensitivity and specificity with an area under the Receiver Operating Characteristic (ROC) curve of 0.872, 9\% greater than the second best method. The proposed method also showed an excellent Intraclass Correlation Coefficient (ICC) of 0.949, 55\% greater than the second best method. Results suggest that the proposed symmetry index is appropriate for this particular group of patients.