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

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...

Types of EEG Artifacts

1.     Muscle Artifacts:

o Description: Caused by electromyographic (EMG) activity from muscle contractions.

o Characteristics: Higher amplitude, confluence of activity, and frequency overlap with EEG signals.

o Appearance: Diphasic and triphasic potentials with varying durations and locations.

o Distribution: Commonly observed in regions with underlying muscles, such as the frontalis and masseter muscles.

2.   Cardiac Artifacts:

o Description: Result from electrical and mechanical effects of cardiac activity.

o Characteristics: Time-locked to cardiac contractions, co-occurring with ECG complexes.

o  Types:

§Pacemaker Artifact: Broad field, high-frequency polyphasic potentials with shorter duration than ECG artifact.

§Pulse Artifact: Periodic slow wave following ECG artifact's peak, commonly over frontal and temporal regions.

§ Ballistocardiographic Artifact: Waveform similar to pulse artifact but more widespread, associated with body movements during cardiac contractions.

3.   Environmental Artifacts:

oDescription: Result from devices in the patient's surroundings during EEG recording.

o Causes: Electrical fields surrounding devices or mechanical effects on the patient or the patient's bed.

o Common Artifact: Alternating current (AC) noise at 60 Hz in some regions and 50 Hz in others, affecting some or all EEG channels.

4.   Technical Artifacts:

oElectrode Artifacts: Arise from issues with electrode placement, impedance mismatches, or movement artifacts during recording.

o Amplifier Artifacts: Result from problems with the EEG amplifier, such as saturation, noise, or incorrect settings.

5.    Artifact Mimics:

oBenign Epileptiform Transients of Sleep (BETS): Resemble ECG artifacts but can be distinguished based on waveform characteristics and temporal correspondence to ECG signals.

o Focal Ictal and Interictal Epileptiform Discharges: Differentiated from ECG artifacts based on waveform features, location, and occurrence patterns.

Understanding the types of EEG artifacts and their distinguishing features is crucial for accurate EEG interpretation and diagnosis, as it helps in differentiating genuine brain activity from unwanted signals that can affect the quality of EEG recordings.

 

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