Over the past decade, robotic neurorehabilitation has become one of the most discussed innovations in neurological recovery. Robotic gait trainers, upper-limb rehabilitation systems, exoskeletons, and AI-assisted rehabilitation devices are increasingly being adopted by hospitals and rehabilitation centres worldwide. However, an important question remains: Are robots the future of neurorehabilitation—or are they simply another tool in the rehabilitation toolbox? As clinicians and researchers, we must move beyond marketing claims and focus on scientific evidence, patient selection, and clinical reasoning. What is Robotic Neurorehabilitation? Robotic neurorehabilitation involves the use of electromechanical devices that assist, guide, resist, or augment movement during therapy. These technologies include: • Robotic gait trainers • Wearable exoskeletons • Upper limb robotic rehabilitation devices • End-effector robotic systems • Sensor-based rehabilitation platforms • AI-assiste...
Non-Invasive Brain-Computer Interfaces (BCIs) are systems that facilitate direct communication between the brain and external devices without the need for surgical procedures. They primarily rely on techniques that measure brain activity externally, such as electroencephalography (EEG). Principles of Non-Invasive BCIs 1. Signal Acquisition : Non-invasive BCIs capture brain signals using external sensors placed on the scalp. The most common method employed is: Electroencephalography (EEG) : This method detects electrical activity produced by neuronal firing via electrodes attached to the scalp. 2. Signal Processing : Once the brain signals are acquired, they undergo signal processing, which includes filtering, amplification, and feature extraction. The aim is to enhance signal quality and isolate relevant neural signatures associated with specific thoughts or commands. 3. ...