# The Effect of Robotic and Electromechanical Gait Training in Patients with Stroke

> Stroke is a condition that occurs due to low perfusion in the brain tissue, which leads to hypoxia and eventually necrosis in the affected area.

## Background
In February 2023, a Blended Intensive Program in Neurological rehabilitation was held, involving over 30 physiotherapy students and teachers from Savonia University of Applied Sciences (Finland), the Third Faculty of Medicine at Charles University (Czech Republic), and the University of Thessaly (Greece). Students collaborated on articles covering stroke, multiple sclerosis, Parkinson’s disease, neurological disorders in children, spinal cord injury, and the use of virtual reality and exergames in rehabilitation.

## Understanding Stroke
Stroke occurs due to low perfusion in brain tissue, leading to hypoxia and necrosis. It is categorized as ischemic (blocked blood flow, often due to thrombotic or thromboembolic episodes) or hemorrhagic (vessel rupture). According to the World Health Organization (2020), there are 15 million cases annually: one-third result in death, one-third in permanent consequences, and one-third in a return to normal life. Risk factors include hypertension, atrial fibrillation, diabetes, hypercholesterolemia, smoking, alcohol consumption, and an unhealthy lifestyle. Symptoms include weakness, numbness, speech difficulties, dizziness, vertigo, vision issues, headache, vomiting, and gait instability.

## Robotic Rehabilitation Approaches
Finland, Greece, and the Czech Republic utilize robotic devices alongside traditional neurorehabilitation methods such as Neurodevelopmental Treatment (Bobath), Vojta’s method, and Proprioceptive Neuromuscular Facilitation (PNF). While the suitability of specific devices depends on the stage and severity of the injury, research indicates significant variation in training methods and intensity.

## Research Findings on Robotic Gait Training
*   **Intensity and Task-Specificity:** Higher intensity walking training using repetitive task-specific methods improves walking in post-stroke patients (Morone et al., 2022).
*   **Comparative Efficacy:** Traditional walking training and A3 robot-assisted training both improve walking ability during intensive two-week periods (Yu et al., 2021).
*   **Cortical Activation:** The "Morning Walk" robot has been shown to improve walking ability, lower limb function, and balance, while specifically increasing cerebral cortex activity on the injured side (Song et al., 2021).
*   **Stationary Robotics:** Stationary robot-assisted training has proven more effective than conventional overground gait training for improving gait speed and endurance in subacute stroke survivors (Pournajaf et al., 2023).
*   **Muscle Strength:** Robotic platforms combining gait and balance training have shown improvements in muscle strength and tone compared to gait training alone (Aprile et al., 2022).
*   **Assist-as-Needed:** An "assist-as-needed" approach with multiple degrees of freedom was not found to be superior to conventional training for gait parameters, though both methods improved gait efficiency (Alingh et al., 2021).
*   **Meta-Analysis:** Electromechanical-assisted training combined with standard physiotherapy increases walking independence and velocity, particularly within the first three months. Non-ambulatory patients appear to benefit more from robotic-assisted therapy than those who are already ambulatory (Mehrholz et al., 2020).

## Authors
*   **Alamoodi Fares**, Physiotherapy student, Third Faculty of Medicine, Charles University, Czech Republic
*   **Kyriakatis Georgios Marios**, Physiotherapy student, Department School of Health Sciences, University of Thessaly, Greece
*   **Rentola Helmi**, Physiotherapy student, Savonia University of Applied Sciences, Kuopio, Finland
*   **Solarova Valentyna**, Physiotherapy student, Third Faculty of Medicine, Charles University, Czech Republic
*   **Syrjäniemi Kaisa**, Physiotherapy student, Savonia University of Applied Sciences, Kuopio, Finland
*   **Dr. Marja Äijö**, PhD, Principal lecturer of gerontology and rehabilitation, Savonia University of Applied Sciences, Kuopio, Finland
*   **Dr. Kamila Řasová**, Ph.D., Associative professor of Physiotherapy, Third Faculty of Medicine, Charles University, Czech Republic
*   **Dr. Thomas Besios**, Assistant Professor, Department School of Health Sciences, University of Thessaly, Greece

## References
*   Alingh JF, et al. (2021). Effect of assist-as-needed robotic gait training on the gait pattern post stroke: a randomized controlled trial. *J Neuroeng Rehabil.*
*   Aprile I, et al. (2022). Efficacy of Robot-Assisted Gait Training Combined with Robotic Balance Training in Subacute Stroke Patients: A Randomized Clinical Trial. *Journal of Clinical Medicine.*
*   Mehrholz J, et al. (2020). Electromechanical-assisted training for walking after stroke. *Cochrane Database Syst Rev.*
*   Morone G, et al. (2022). Integrating robot-assisted therapy into neurorehabilitation clinical practice: Where are we now? Where are we heading? *NeuroRehabilitation.*
*   Pournajaf S, et al. (2023). Robotic versus Conventional Overground Gait Training in Subacute Stroke Survivors: A Multicenter Controlled Clinical Trial. *Journal of Clinical Medicine.*
*   Song KJ, et al. (2021). The effect of robot-assisted gait training on cortical activation in stroke patients: A functional near-infrared spectroscopy study. *NeuroRehabilitation.*
*   Yu D, et al. (2021). Robot-Assisted Gait Training Plan for Patients in Poststroke Recovery Period: A Single Blind Randomized Controlled Trial. *Biomed Res Int.*
*   World Health Organization. (2020). Stroke, Cerebrovascular accident.
*   Äijö M, Řasová K & Besios T. (2022). Neurological rehabilitation, Blended Intensive program has started. *Savonia Article.*