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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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Rapid Eye Movements (REMs) of REM Sleep

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Dr. Rishabh Pathak

Rapid Eye Movements (REMs) of REM sleep can produce specific artifacts in EEG recordings.

1.               Nature of REM Artifacts:

o   REM artifacts are associated with the rapid eye movements that occur during REM sleep.

o   These artifacts have a waveform that differs from lateral gaze artifacts during wakefulness due to the specific movement features of REMs.

2.     Characteristics:

o REM artifacts appear as waves with an asymmetrically quicker rise than fall, similar to the REM eye movement pattern.

o  The location of REM artifacts is typically the same as other artifacts produced by lateral gaze, with specific electrode involvement.

3.     Differentiation:

o Specific movement features of REMs, such as the waveform characteristics, help differentiate REM artifacts from other ocular artifacts and EEG patterns.

o Understanding the unique features of REM artifacts is crucial for accurate interpretation and differentiation from pathological brain activity or other types of artifacts in EEG recordings.

Recognizing the distinct characteristics of REM artifacts and their association with REM sleep can aid in accurate EEG interpretation and the identification of normal physiological patterns during sleep stages.

 

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