Distinguishing Pathologic Gait in Older Adults Using Instrumented Insoles and Deep Neural Networks.

Gait abnormalities are common in the older population owing to aging- and disease-related changes in physical and neurological functions. Differentiating the causes of gait abnormalities is challenging because various abnormal gaits share a similar pattern in older patients. Herein, we propose a deep neural network (DNN) model to classify disease-specific gait patterns in older adults using commercialized instrumented insoles.

Robot-Assisted Gait Training in Older Patients with Comorbid Conditions: A Pilot Study.

Purpose: This study aimed to evaluate the efficacy of robot-assisted gait training (RAGT) in older patients with neurological gait disorder accompanied by various comorbidities.

Materials And Methods: We included Individuals aged ≥65 years with degenerative brain diseases or stroke causing gait disorders for >6 months in open-label, a pilot study. RAGT was performed for 30 min/day, 2 days/week for 12 weeks.

Low Phase Angle and Skeletal Muscle Index Increase Hospital-Acquired Infections During Stroke Rehabilitation.

Objectives: Sarcopenia is common in patients with stroke and may increase the risk of medical complications such as infection. However, assessing sarcopenia in stroke patients with consciousness disturbance, aphasia or severe paralysis is challenging. This study aimed to investigate whether a combined assessment of phase angle (PhA) and skeletal muscle index (SMI), estimated using bioelectrical impedance analysis, was associated with 2 common nosocomial infections, hospital-acquired pneumonia (HAP) and urinary tract infection (UTI), during inpatient stroke rehabilitation.