A sensor-equipped computer program was nearly 80% effective in identifying and counting arm movements in patients undergoing stroke rehabilitation, researchers from NYU Grossman School of Medicine announced.
According to the CDC, stroke affects nearly 800,000 Americans each year, and arm mobility is seriously reduced in more than half of stroke survivors.
“Knowing how much physical rehabilitation stroke patients need to recover has been hampered by the inability to easily count training movements,” Heidi Schambra, MD, co-senior study investigator and associate professor of neurology