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  4. Barcoding Human Physical Activity to Assess Chronic Pain Conditions
 
research article

Barcoding Human Physical Activity to Assess Chronic Pain Conditions

Paraschiv-Ionescu, Anisoara  
•
Perruchous, C.
•
Buchser, E.
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2012
Plos One

Background: Modern theories define chronic pain as a multidimensional experience - the result of complex interplay between physiological and psychological factors with significant impact on patients' physical, emotional and social functioning. The development of reliable assessment tools capable of capturing the multidimensional impact of chronic pain has challenged the medical community for decades. A number of validated tools are currently used in clinical practice however they all rely on self-reporting and are therefore inherently subjective. In this study we show that a comprehensive analysis of physical activity (PA) under real life conditions may capture behavioral aspects that may reflect physical and emotional functioning.

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Type
research article
DOI
10.1371/journal.pone.0032239
Web of Science ID

WOS:000302916100061

Author(s)
Paraschiv-Ionescu, Anisoara  
Perruchous, C.
Buchser, E.
Aminian, Kamiar  
Date Issued

2012

Publisher

Public Library of Science

Published in
Plos One
Volume

7

Issue

2

Article Number

e32239

Subjects

Low-Back-Pain

•

Spinal-Cord Stimulation

•

Dwelling Older-Adults

•

Fractal Dynamics

•

Ambulatory System

•

Activity Patterns

•

Disease

•

Gait

•

Complexity

•

Movement

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LMAM  
Available on Infoscience
February 24, 2012
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/78091
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