Biomedical Research

KEY FINDING: The wearable system achieves high accuracy in detecting pressure (98%) and finger flexion (97%), demonstrating its potential as an effective rehabilitation tool.

KEY FINDING: The MI-based EEG–EMG network showed the highest decoding performance (94.33%), outperforming both EEG (73.89%) and EMG (89.16%).

KEY FINDING: The accuracy of decoding the intent of fingers making a fist from MI EEG can reach up to 85.3%, with an average AUC of 0.88.

KEY FINDING: High-pressure solid solution extends Si solubility in Al, forming nanotwinned-Si particles through Joule-heating treatment.

KEY FINDING: No significant difference was found between textile electrodes with lotion and hydrogel electrodes in terms of comfort (burning sensation intensity and maximum tolerable intensity).

KEY FINDING: The advantages of SDSS over SES in reducing muscle fatigue and enhancing force generation were significantly diminished at high intensity compared to moderate intensity.

KEY FINDING: The APPGS hydrogel was successfully prepared and characterized, exhibiting suitable mechanical, physical, and chemical properties for biomedical applications.

KEY FINDING: The Advanced MLRGO significantly improved walking speed compared to the standard MLRGO (p = 0.033), indicating a 50.7% increase.

KEY FINDING: The neural network model achieved high validity in the lab, with measures ≥0.87 for differentiating between non-propulsion activity, propulsion, and static time.

KEY FINDING: Recruitment curves of most trunk and hip muscles fit sigmoid shaped curves with a regression coefficient above 0.75.