Static Versus Dynamic Decoding Algorithms in a Non-Invasive Body-Machine Interface

In this study, we consider a non-invasive body-machine interface that captures body motions still available to people with spinal cord injury (SCI) and maps them into a set of signals for controlling a computer user interface while engaging in a sustained level of mobility and exercise. We compare t...

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Vydáno v:	IEEE transactions on neural systems and rehabilitation engineering Ročník 25; číslo 7; s. 893 - 905
Hlavní autoři:	Seanez-Gonzalez, Ismael, Pierella, Camilla, Farshchiansadegh, Ali, Thorp, Elias B., Abdollahi, Farnaz, Pedersen, Jessica P., Mussa-Ivaldi, Ferdinando A.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.07.2017
Témata:	Actigraphy - methods Adult Algorithms Assistive devices Body–machine interface (BMI) cervical spinal cord injury Computers Female handicapped aids Heuristic algorithms Humans Kalman filters Kinematics Male Man-Machine Systems Middle Aged Movement Pattern Recognition, Automated - methods Principal Component Analysis Reproducibility of Results Sensitivity and Specificity Signal Processing, Computer-Assisted Spinal Cord Injuries - physiopathology tetraplegia Unsupervised Machine Learning wheelchair control Wheelchairs
ISSN:	1534-4320, 1558-0210
On-line přístup:	Získat plný text
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