Sensor-based technology for upper limb rehabilitation in patients with multiple sclerosis: A randomized controlled...

Area of Science:

• Neurology
• Rehabilitation Medicine
• Biomedical Engineering

Background:

• Sensor-based devices offer interactive neuromotor rehabilitation for Multiple Sclerosis (MS), targeting upper extremity limitations.
• These devices utilize interactive therapy games with audio-visual feedback for training shoulder, elbow, and wrist movements.
• They quantitatively monitor upper limb strength, range of motion, and progress via electronic databases.

Purpose of the Study:

• To evaluate the efficacy of sensor-based motor rehabilitation as an adjunct to conventional neurorehabilitation for improving upper limb function in MS patients.
• To assess the impact of sensor-based training on functional recovery and quality of life in individuals with MS.

Main Methods:

• A randomized study involving 30 MS patients assigned to an experimental group (sensor-based training) and a control group (conventional training).
• Both groups received 12 sessions of upper limb training over 4 weeks, in addition to standard therapy.
• Evaluations were conducted at baseline (T0) and post-intervention (T1) using clinical scales like the Modified Barthel Index and Rivermead Mobility Index.

Main Results:

• Statistically significant improvements in the Modified Barthel Index and Rivermead Mobility Index were observed in both groups.
• The experimental group showed a significant improvement in the Multiple Sclerosis Quality of Life-54.
• The percentage improvement in clinical scale scores was notably greater in the experimental group compared to the control group from baseline.

Conclusions:

• Sensor-based rehabilitation provides intensive, functional-oriented therapy for MS patients.
• The objective evaluation of progress through exercises makes it a valuable complementary strategy.
• This approach shows potential for enhancing hand rehabilitation outcomes in individuals with Multiple Sclerosis.