Figure 1.

Inpatient dataset available for model training and testing. Data were collected from 55 individuals undergoing poststroke inpatient rehabilitation at admission and discharge. Training sets for prediction models were determined based on ambulatory status during admission and the availability of IMU data from gait and balance tasks. For patients who were ambulatory at admission, we utilized their IMU data recorded during the 10MWT and BBS (N = 32). For patients who were nonambulatory at admission, we combined IMU BBS data for both patients who were ambulatory and nonambulatory (N = 50) and tested only on those who were nonambulatory (N = 8). All models were tested using a leave-1-subject-out approach. 6MWT = 6-Minute Walk Test; 10MWT = 10-Meter Walk Test; Adm = admission; Amb = ambulatory; BBS = Berg Balance Scale; FIM = Functional Independence Measure; IMU = inertial measurement unit; Ind = independence; Non-Amb = nonambulatory.