Advances in brain-computer interface for decoding speech imagery from EEG signals: a systematic review.

Numerous individuals encounter challenges in verbal communication due to various factors, including physical disabilities, neurological disorders, and strokes. In response to this pressing need, technology has actively pursued solutions to bridge the communication gap, recognizing the inherent difficulties faced in verbal communication, particularly in contexts where traditional methods may be inadequate. Electroencephalogram (EEG) has emerged as a primary non-invasive method for measuring brain activity, offering valuable insights from a cognitive neurodevelopmental perspective.

Coping Mechanisms and Their Associations With Depression and Anxiety Among Healthcare Workers in the Aftermath of COVID-19 Pandemic.

Objective: This study investigated the associations between anxiety, depression, and coping in healthcare workers during coronavirus disease 2019.

Methods: A survey used the Generalized Anxiety Disorder 2 to assess anxiety, the Patient Health Questionnaire 2 to assess depression, and the Brief Coping Orientation to Problems Experienced (COPE) scale to evaluate coping mechanisms.

Results: Of the 1172 participants who provided data, 24.