Robotic exoskeletons and VR transform neurological rehabilitation at Quirónsalud

Patients with stroke, spinal cord injury, traumatic brain injury, and neurodegenerative diseases regain mobility and independence through robotic-assisted rehabilitation.
The robot bears the load while the nervous system wakes up.
How early robotic intervention allows patients to begin motor training before conventional strength recovery would permit it.

Robotic devices enable repetitive, controlled movement patterns that trigger neuroplasticity and motor relearning even when patients cannot move independently. Three Quirónsalud hospitals now offer integrated technology combining exoskeletons, VR environments, and neuromodulation for precision rehabilitation with measurable outcomes.

  • Quirónsalud Miguel Domínguez is one of three Quirónsalud hospitals offering robotic rehabilitation technology
  • Hank exoskeleton has six motorized joints (hip, knee, ankle on each side) for precise gait training
  • Robotic devices trigger neuroplasticity and motor neuron reprogramming through controlled repetitive movement
  • Hand of Hope uses electromyographic signals to guide upper-limb recovery after stroke and brain injury

Spanish hospitals deploy advanced robotic exoskeletons and virtual reality systems to help stroke, spinal injury, and neurological disease patients recover motor function through intensive, personalized rehabilitation training.

When a stroke hits, or a spinal cord tears, or the brain suffers blunt trauma, the path back is measured in months and years, not weeks. The body forgets how to do the things it once did without thinking—how to stand, how to walk, how to keep its balance. Neurodegenerative diseases like Parkinson's or ALS write a different story but arrive at the same place: a person watching their own autonomy slip away, one movement at a time.

For decades, rehabilitation meant a therapist's hands guiding a patient through the motions, trying to coax the nervous system back to work through positioning, handling, and careful stimulus. It was indirect work, aimed mostly at reducing the body's resistance rather than rebuilding what was lost. But at Quirónsalud Miguel Domínguez hospital in Galicia, the approach has shifted. The facility has integrated robotic exoskeletons and virtual reality systems into its neurorehabilitation unit—technology designed to let the brain relearn damaged functions through thousands of controlled, repetitive movements, even when the patient's own muscles cannot yet do the work alone.

The science is straightforward but powerful. When a patient performs a movement over and over, two things happen in the nervous system: the brain reorganizes itself to compensate for damage, a process called neuroplasticity, and the motor neurons reprogram themselves to restore control. The robots make this possible by supporting the patient's weight and guiding limbs through precise patterns, adjusting the level of assistance as strength returns. Dr. Lucía Camino, a rehabilitation physician at the unit, explains that this represents a fundamental break from older methods. Instead of trying to suppress abnormal patterns, the new tools actively reshape the nervous system to recover complex motor functions. The robots also measure what happens—recording movement amplitude, symmetry, applied force, and the degree of assistance needed—giving doctors concrete data to track progress and adjust treatment with precision.

The hospital's arsenal includes several specialized devices. Hank is a lower-limb exoskeleton with six motorized joints—hip, knee, and ankle on each side—allowing it to reproduce natural walking patterns with unusual precision. Hand of Hope targets the upper body, using electrical signals from the patient's own muscles to guide hand and arm recovery after stroke, brain injury, spinal damage, or cerebral palsy. These can be paired with Alperk, a non-invasive vagus nerve modulator that syncs stimulation with the patient's motor or cognitive activity to amplify neuroplasticity. Orek is a balance platform for training stability in stillness and motion. And woven through it all is virtual reality—interactive environments that guide patients through functional exercises in safe, personalized, motivating spaces.

The difference shows in real cases. A young man suffered Guillain-Barré syndrome, leaving him with severe weakness in all four limbs, unable to stand or walk. In conventional therapy, he would wait weeks or months for strength to return before beginning gait training. Instead, an exoskeleton took his weight, guided his legs through walking cycles, and let him begin training immediately. The robot bore the load while his muscles and nervous system woke up. As weeks passed and his strength grew, the machine gradually released its grip, and he took on more of the work himself. What might have taken months through standard rehabilitation happened faster, with better odds of recovering the ability to walk and live independently.

Quirónsalud Miguel Domínguez is one of three hospitals in the Quirónsalud group offering this integrated approach—the others are Quirónsalud Bizkaia and Hospital Universitario Fundación Jiménez Díaz. Together, they represent a shift toward precision medicine in neurological recovery: safer, faster, measurable, and grounded in what the nervous system actually needs to heal.

The robots allow patients to practice movements repeatedly and in a controlled way, which is key for recovery, and they also let us personalize treatment by adjusting difficulty, assistance, or resistance based on each patient.
— Dr. Lucía Camino, rehabilitation physician
This early and repeated training helps activate muscles, improve coordination, and stimulate the nervous system, supporting recovery much sooner than conventional methods would allow.
— Dr. Lucía Camino, describing robotic-assisted gait training
The Hearth Conversation Another angle on the story
Inventor

Why does it matter that the robot can measure movement so precisely? Couldn't a therapist just watch and adjust by eye?

Model

A therapist's eye is good, but it's subjective. The robot records exact numbers—how many degrees the hip moved, whether both legs moved symmetrically, how much force the patient applied. That data lets us see what's actually improving week to week, and it lets us know when to change the treatment. Without it, we're guessing.

Inventor

You mentioned the brain "reorganizes" itself. Is that permanent, or does it fade if the patient stops training?

Model

Neuroplasticity is real, but it's not automatic. The brain needs repetition to lock in the change. That's why the robot matters—it can do thousands of controlled repetitions in ways a human therapist simply cannot. The more you practice the movement, the more durable the reorganization becomes.

Inventor

In your example, the young man with Guillain-Barré started training immediately. What would have happened if he'd waited the conventional way?

Model

He would have spent weeks or months lying down, waiting for strength to return on its own. By then, muscles atrophy, the nervous system gets used to not moving, and the window for early intervention closes. Starting now, with the robot supporting him, he's activating his system while it's still plastic and ready to learn.

Inventor

Does virtual reality actually change how well people recover, or is it just motivation?

Model

It's both, but the mechanism matters. When you train in a virtual environment that mimics real life—walking through a kitchen, reaching for objects—the brain practices the actual task it needs to do. The transfer to real life is better because the patient has already done it, in a sense. And yes, motivation matters too. If someone sees progress and feels engaged, they do the work more consistently.

Inventor

Three hospitals have this technology. Why not more?

Model

It's expensive, and it requires training to use well. But the hospitals that have it are seeing faster recoveries and better outcomes. As the evidence builds, I expect more centers will invest. The question is whether the health system can afford not to.

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