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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 Benign Epileptiform Transients of Sleep

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Dr. Rishabh Pathak

Benign Epileptiform Transients of Sleep (BETS) have distinguishing features that differentiate them from other EEG patterns.

Waveform Characteristics:

o BETS are sharply contoured, temporal region transients that commonly occur during light sleep, particularly in stages 1 and 2 of NREM sleep.

o  The waveform of BETS is characteristically monophasic or diphasic, with one principal phase showing an abrupt rise and an even steeper fall. This phase is typically electronegative on the scalp.

o Some BETS may exhibit an after-going slow wave, although this feature is less common.

2.     Amplitude and Duration:

o BETS are typically less than 90 μV in amplitude and 90 milliseconds in duration, with the average amplitude and duration being around 60 μV and 60 milliseconds, respectively.

o  The term "small sharp spikes" is sometimes used to describe BETS due to their typical size, but larger and longer BETS can also occur, highlighting variability in their characteristics.

3.     Occurrence and Distribution:

o BETS often occur in multiple occurrences within a recording, with several similarly formed temporal spikes observed during drowsiness or light sleep.

o The shifting lateralization of BETS should be symmetric, with an equivalent number of BETS on each side. Recurrence on one side is typically separated by more than 1 second and often more than 10 seconds.

4.    Localization and Field Distribution:

o BETS are almost always centered in the mid-temporal region, extending over the entire temporal lobe and sometimes involving the adjacent frontal lobe.

o The best montages for observing BETS are those utilizing a contralateral reference electrode, which can show a transverse dipole with a negative phase reversal over one temporal lobe and a positive one over the other.

Understanding these distinguishing features of BETS is essential for accurate EEG interpretation and differentiation from other transient EEG patterns or epileptiform discharges.

 

 

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