Assistive Technology Research

KEY FINDING: EAW significantly improved FVC, predicted FVC%, and FEV1 compared to conventional training in SCI individuals.

KEY FINDING: The study found that the developed game-based breathing exercise devices improved maximum inspiratory and expiratory pressures in patients with tetraplegia after an 8-week program.

KEY FINDING: Weight relief lifts significantly reduce the space in the shoulder (AHD) compared to resting positions.

KEY FINDING: The measurement error of the sensor-based gait speed estimation was low in both standardized (0.01 m/s) and daily life (0.04 m/s) conditions.

KEY FINDING: The exoskeleton-supported therapy program with in-clinic and at-home training was feasible for stroke and SCI patients.

KEY FINDING: The trained deep learning algorithm achieved an overall accuracy of 98% in classifying wheelchair-related shoulder-loading activities (SL-ADL).

KEY FINDING: Most studies showed that RAT and RAT combined with VR had significant positive effects on patients' HRQoL.

KEY FINDING: MVIC forces decreased significantly after the three trained motor tasks except for the ankle dorsiflexion.

KEY FINDING: Robotic devices, combined with virtual reality, increase patient motivation and improve walking and balance via neuroplasticity.

KEY FINDING: Significant improvements were observed in muscle volume in the exoskeleton intervention group when compared to only standard-of-care.