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Robotics in Neurorehabilitation: Beyond the Hype—Understanding What It Can (and Cannot) Do

Dr. Rishabh Pathak
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...
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Distinguishing Features of Ocular Artifacts

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Dr. Rishabh Pathak

Ocular artifacts in EEG recordings have distinguishing features that differentiate them from other EEG patterns and artifacts.

Nature of Ocular Artifacts:

o  Ocular artifacts are primarily caused by movements and electrical activity associated with the eyes.

o These artifacts can result from various eye movements, including blinks, eye flutter, lateral gaze, and rapid eye movements (REMs) of REM sleep.

2.     Characteristics:

o  Ocular artifacts typically manifest as slow waves or rhythmic activity that is limited to the frontal regions.

o  The waveform of ocular artifacts can resemble delta activity but does not extend into the central region.

o  The amplitude and duration of ocular artifacts are related to the rate and duration of eye movements, with a steep decline in amplitude with distance from the orbits.

3.     Differentiation:

o  Ocular artifacts can be distinguished from epileptiform discharges by waveform differences and field distribution, with ocular artifacts typically having a sharper contour and more limited field.

o Using specific electrode configurations, such as supraorbital and infraorbital electrodes, can aid in definitively differentiating ocular artifacts from other patterns.

o The presence or absence of eye movements, as noted by the technologist, can also help differentiate ocular artifacts from other EEG patterns.

Understanding the distinguishing features of ocular artifacts is crucial for accurate EEG interpretation and the differentiation of these artifacts from pathological brain activity or other types of artifacts in EEG recordings.

 

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