DocumentCode :
1244272
Title :
Data mining of motor patterns recorded with wearable technology
Author :
Bonato, Paolo ; Mork, Paul Jarle ; Sherrill, Delsey M. ; Westgaard, Rolf H.
Volume :
22
Issue :
3
fYear :
2003
Firstpage :
110
Lastpage :
119
Abstract :
Discusses utilizing self-organizing maps to manage large data sets gathered in the field. Dramatic advances in wearable technology suggest that wearable sensors and systems are close to deployment in the clinical field environment. Miniature, wireless sensors are becoming readily available due to the tremendous research efforts focused on this area as well as the great interest demonstrated by the private sector for the associated potential market of these devices. Wearable systems, including base stations and hand-held units, are becoming less cumbersome, with an ever-increasing capacity to receive and store vast amounts of data for extensive periods of time. Further, the growing availability of wireless LANs makes it possible to envision wearable systems from which data can be continuously uploaded, while hand-held units provide a means to communicate with the patient when needed.
Keywords :
biomechanics; biomedical transducers; data mining; electromyography; local area networks; reviews; self-organising feature maps; wearable computers; base stations; continuously uploaded data; hand-held units; medical instrumentation; motor patterns recorded with wearable technology; patient communication; wearable sensors; wearable technology advances; wireless LANs; Biomedical monitoring; Data mining; Heart rate; Intelligent sensors; Patient monitoring; Power system reliability; Skin; Temperature sensors; Wearable sensors; Wireless sensor networks; Activities of Daily Living; Algorithms; Arm; Artificial Intelligence; Back; Clothing; Database Management Systems; Databases, Factual; Diagnosis, Computer-Assisted; Electromyography; Humans; Information Storage and Retrieval; Miniaturization; Monitoring, Ambulatory; Movement; Muscle, Skeletal; Muscular Diseases; Pain; Pattern Recognition, Automated; Signal Processing, Computer-Assisted; Thigh;
fLanguage :
English
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
Publisher :
ieee
ISSN :
0739-5175
Type :
jour
DOI :
10.1109/MEMB.2003.1213634
Filename :
1213634
Link To Document :
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