Document Detail

Sensor-enabled RFID System for Monitoring Arm Activity: Reliability and Validity.
MedLine Citation:
PMID:  22875260     Owner:  NLM     Status:  Publisher    
After stroke, capacity to complete tasks in the treatment setting with the more-affected arm is an unreliable index of actual use of that extremity in daily life. Available objective methods for monitoring real-world arm use rely on placing movement sensors on patients. These methods provide information on amount but not type of arm activity, e.g., functional vs. nonfunctional movement. This paper presents an approach that places sensors on patients and household objects, overcoming this limitation. An accelerometer and the transmitter component of a radio-frequency proximity sensor are attached to objects; the receiver component is attached to the arm of interest. The receiver triggers an on-board radiofrequency identification tag to signal proximity when that arm is within 23 cm of an instrumented object. In benchmark testing, this system detected perfectly which arm was used to move the target object on 200 trials. In a laboratory study with 35 undergraduates, increasing the amount of time target objects were moved with the arm of interest resulted in a corresponding increase in system output (p < .0001). Moreover, measurement error was low (. 2.5%). The results support this systemfs reliability and validity in individuals with unimpaired movement; testing is now warranted in stroke patients.
J Barman; G Uswatte; T Ghaffari; B Sokal; E Byrom; E Trinh; M Brewer; C Varghese; N Sarkar
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-8-03
Journal Detail:
Title:  IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society     Volume:  -     ISSN:  1558-0210     ISO Abbreviation:  IEEE Trans Neural Syst Rehabil Eng     Publication Date:  2012 Aug 
Date Detail:
Created Date:  2012-8-9     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101097023     Medline TA:  IEEE Trans Neural Syst Rehabil Eng     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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