Estimating Clinical Scores From Wearable Sensor Data In Stroke Survivors

To investigate the suitability of a machine learning algorithm based on data collected using two wearable 3-axis accelerometers to predict the total Functional Ability Scale (FAS) score during the performance of a battery of motor tasks taken from the Wolf Motor Function Test (WMFT).

Source: Archives of Physical Medicine and Rehabilitation - September 24, 2017 Category: Rehabilitation Authors: Claire Meagher, Stefano Sapienza, Catherine Adans-Dester, Anne O ’Brien, Shyamal Patel, Gloria Vergara-Diaz, Danilo Demarchi, Sunghoon Lee, Ann-Marie Hughes, Randie Black-Schaffer, Jane Burridge, Ross Zafonte, Paolo Bonato Source Type: research