The National Post reports in its Monday, April 14, edition that artificial intelligence combined with wearable technology has the potential to improve safety among people recovering from a stroke, suggests a study from researchers, including a group from Simon Fraser University. A Canadian Press dispatch to the Post reports that Simon Fraser's Gustavo Balbinot says the research opens doors for the development of new technologies in stroke rehabilitation. The findings are also applicable for people at risk of falling due to balance challenges that are not related to stroke. The study used sensors to monitor more than 50 stroke survivors as they performed mobility tasks. Researchers then used the data to generate movement patterns. The analysis found those recovering from a stroke generally had smoother movements, suggesting a more cautious approach compared with a control group. Those healthy participants exhibited faster, more "jerky" movements, says Mr. Balbinot. He has developed software that breaks the movement patterns down into three-second windows, allowing it to detect changes that could indicate a risk of falling -- a potentially serious setback for someone recovering from stroke.