TY - GEN
T1 - Robotic gait trainer reliability and stroke patient case study
AU - Ward, Jeffrey A.
AU - Balasubramanian, Sivakumar
AU - Sugar, Thomas
AU - He, Jiping
PY - 2007/12/1
Y1 - 2007/12/1
N2 - With over 600,000 people each year surviving a stroke, it has become the leading cause of serious longterm disability in the United States [1, 2, 3]. Studies have proven that through repetitive task training, neural circuits can be re-mapped thus increasing the mobility of the patient [4, 5, 6, 7, 8], This fuels the emerging field of rehabilitation robotics. As technology advances new therapy robots are developed that are increasingly compliant and captivating to use. This paper examines the Robotic Gait trainer (RGT) developed in the Human Machine Integration Laboratory at Arizona State University. The RGT is a tripod mechanism, where the patient's leg is the fixed link, controlled on a Matlab and Simulink platform. An eight week case study was conducted with a 22 year old female stroke survivor. Subjective feedback, robot performance and the patient's key performance indicators examined throughout the study are analyzed.
AB - With over 600,000 people each year surviving a stroke, it has become the leading cause of serious longterm disability in the United States [1, 2, 3]. Studies have proven that through repetitive task training, neural circuits can be re-mapped thus increasing the mobility of the patient [4, 5, 6, 7, 8], This fuels the emerging field of rehabilitation robotics. As technology advances new therapy robots are developed that are increasingly compliant and captivating to use. This paper examines the Robotic Gait trainer (RGT) developed in the Human Machine Integration Laboratory at Arizona State University. The RGT is a tripod mechanism, where the patient's leg is the fixed link, controlled on a Matlab and Simulink platform. An eight week case study was conducted with a 22 year old female stroke survivor. Subjective feedback, robot performance and the patient's key performance indicators examined throughout the study are analyzed.
UR - http://www.scopus.com/inward/record.url?scp=48349133714&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=48349133714&partnerID=8YFLogxK
U2 - 10.1109/ICORR.2007.4428480
DO - 10.1109/ICORR.2007.4428480
M3 - Conference contribution
AN - SCOPUS:48349133714
SN - 1424413206
SN - 9781424413201
T3 - 2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07
SP - 554
EP - 561
BT - 2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07
T2 - 2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07
Y2 - 12 June 2007 through 15 June 2007
ER -