Title :
The role of neural networks in telerehabilitation
Author_Institution :
Manhattan Coll., Riverdale, NY, USA
Abstract :
Delivery of rehabilitative health care at remote distances becomes feasible with neural net-assisted automation. Using neural nets trained to recognize characteristics of extensive/reflective responses, a series of rules can be invoked to guide functional restoration for individuals with neurological disorders of movement. The key to reeducation follows from sensory feedback substitution.
Keywords :
medical computing; neural nets; telemedicine; extensive responses; functional restoration; neural net -assisted automation; neural networks; neurological disorders; reflective responses; rehabilitative health care; remote distances; remote health care; telerehabilitation; Automation; Biomedical informatics; Electromyography; Intelligent networks; Medical diagnostic imaging; Medical services; Neural networks; Neurofeedback; Neuromuscular; Sensor arrays;
Conference_Titel :
Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on
Print_ISBN :
0-7803-7579-3
DOI :
10.1109/CNE.2003.1196916
