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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 Environmental Artifacts

Environmental artifacts in EEG recordings can stem from various sources and devices present in the patient's surroundings. 


1.     50/60 Hz Ambient Electrical Noise:

oDescription: This type of artifact is often caused by the alternating current (AC) present in the electrical power supply.

oCharacteristics: It typically manifests as medium to low amplitude noise with a monomorphic frequency corresponding to the AC frequency (e.g., 60 Hz in North America).

oDistribution: The artifact may be present across all EEG channels or in isolated channels with poorly matched impedances.

2.   Intravenous Drips:

oDescription: Electrical artifacts can be produced by intravenous or other drip infusions, particularly those with electrostatically charged droplets falling near the recording electrodes.

oCharacteristics: These artifacts may appear as spike-like EEG potentials and are associated with the movement of electrically charged droplets.

o Identification: Regularity and occurrence with the drips are key factors in identifying this type of artifact.

3.   Electrical Noise from Devices:

oDescription: Various electrical devices can produce high-amplitude irregular activity resembling spikes, polyspikes, or muscle potentials due to switching electromagnetic fields within the devices.

oCharacteristics: The artifact occurs with the device's activity and may exhibit a fixed recurrence pattern according to the device's settings.

4.   Mechanical Noise from Devices:

oDescription: Mechanical devices such as ventilators and circulatory pumps can generate artifacts with slower components than electrical motors.

oCharacteristics: Mechanical artifacts often exhibit rhythmicity related to the vibrations produced by the device and may repeat with a fixed interval, showing slow waves or a complex mixture of frequencies.

5.    Modern Infusion Pumps:

oDescription: Modern infusion pumps can produce intermittent electrical artifacts related to the pump motor, while drip infusions without a motor can also generate electrical artifacts.

oCharacteristics: The artifact is due to the moving electrical field of electrostatically charged droplets falling with the drip infusion, appearing as spike-like EEG potentials.

Understanding the different types of environmental artifacts and their characteristics is essential for recognizing and distinguishing them from physiological or pathological patterns in EEG recordings. Proper identification and differentiation of environmental artifacts contribute to the accurate interpretation of EEG data and help ensure the quality and reliability of EEG analysis in clinical practice and research.

 

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