Biomedical Research

KEY FINDING: Current clinical FNS standing systems can produce the muscle forces to rise from a chair and assume an upright standing posture with stimulation applied in an open-loop manner.

KEY FINDING: GRIPIT offers advantages in writing sensation, fatigability, and legibility due to its stable grasp force during writing. It is, however, more complicated to wear and use than a conventional device.

KEY FINDING: Accelerometers and IMUs are the most frequently used sensors in wearable systems for upper body rehabilitation.

KEY FINDING: A BCI system consists of 4 sequential components: (1) signal acquisition, (2) feature extraction, (3) feature translation, and (4) device output.

KEY FINDING: The custom-designed EEG amplifier array produced EEG signals similar in quality to a commercial amplifier, with a maximum correlation coefficient of ρ=0.85.

KEY FINDING: The participant could control single-joint and multi-joint arm movements with 80-100% accuracy using both a virtual arm and his own arm stimulated by FES.

KEY FINDING: The modified tandem stance led to larger and more consistent anterior/posterior COP excursions across different reach directions compared to side-by-side and wide stances.

KEY FINDING: Passive stepping movements on the tilt stepper significantly reduced the occurrence of near-syncope or syncope compared to the traditional tilt table.

KEY FINDING: The linear model parameters clearly influence either simulated force magnitude or speed properties, consistent with previous parameter definitions.

KEY FINDING: The nanowire-coated fiber probes maintained optical and electrical properties under bending and stretching deformations.