Bioelectronic Medicine and the Dawn of Robotic Training to Improve Motor Outcome in Chronic Stroke

Table 1 Improved movement after robot therapy depends on the kinematic details of the robot training.

		Controller tuned to:
	Slot guidance	Strength	Standard
Change: admission to discharge^a	7.3 (1.29)	4.5 (0.81)	4.5 (0.91)
Aiming, radian	−0.162 (0.035)^b	−0.048 (0.045)	−0.027 (0.054)
Speed, second	−0.628 (0.669)	−1.838 (0.409)	−3.542 (1.189)^b
Force, newton	0.503 (3.143)	11.666 (3.536)^b	3.959 (3.826)

This table shows that the controller tuned to train different aspects of movement leads to differential outcome in 111 patients with hemiparesis after chronic stroke. The improvement in Fugl-Meyer (F-M) scale score is significant for each group with the slot-guidance-trained group demonstrating greater improvement. The slot-guidance tuning also yielded significantly better aiming scores. Greater strength change occurred when the controller was tuned to increase the resistance. The standard program generated the significantly faster performance.
^aChange is indicated as difference from admission to discharge as measured by the F-M scale score (P< 0.05).
^bP < 0.01.

ISSN: 2332-8886