Опубликована: Окт. 1, 2019
Aging society is characterized by a high prevalence of sarcopenia, which considered one the most common health problems elderly population. Sarcopenia due to age-related loss muscle mass and strength. Recent literature findings highlight that Tinetti Balance Assessment (TBA) scale used assess sarcopenia in people. In this context, article proposes model for assessment able provide quantitative TBA-gait motor parameters means cloud robotics approach. The proposed system composed resources, an assistive robot namely ASTRO two inertial wearable sensors. Particularly, data from sensors (i.e., accelerometers gyroscopes), placed on patient's feet, laser sensor (position environment) were analyzed combined propose set features correspondent TBA gait domains. was preliminarily tested at hospital "Fondazione Casa Sollievo della Sofferenza" Italy. preliminary results suggest extracted describe performance. future, these could be support clinicians monitoring over time personalized care-plan.
Язык: Английский