Development Of An Intelligent Rehabilitation System For Musculoskeletal Disorder Management Using Advanced Technologies

• Author(s):

  Suraj Chavan | Samarth Kadolkar | Santosh Anuse | Ajinkya Killedar | Dhanashri Biradar

• Keywords:

  Rehabilitation Device, Mobility Assistance, Assistive Technology, Embedded Systems, Sensor-Based Monitoring, Patient Support System.

• Abstract:

  Chronic Immobility Resulting From Conditions Such As Stroke, Paraplegia, And Musculoskeletal Disorders Causes Severe Complications Including Muscular Atrophy, Pressure Sores, Poor Circulation, Joint Stiffness, And Impaired Mental Health. This Underscores A Critical Need For Effective, Technology-driven Rehabilitation Solutions To Enhance Patient Recovery And Quality Of Life. This Project Presents The Development Of A Multifunctional Intelligent Exoskeleton Robot Designed To Assist Patients With Movement Impairments Including Paraplegia And Post-stroke Recovery. The System Promotes Rehabilitation By Enabling Natural Human Movement Patterns—such As Standing, Walking, And Basic Exercises—while Simultaneously Maintaining Proper Posture And Boosting Circulation To Prevent Complications Associated With Immobility. Incorporating Modern Robotics, Biomechanics, Real-time Sensor Data (including SpO2 And Pulse Monitoring), And IoT Technology, The Exoskeleton Adjusts Therapy Protocols Remotely Based On Individual Patient Needs. It Includes Automated Safety Mechanisms That Halt Therapy If Vital Signs Fall Below Safe Thresholds, Ensuring Patient Protection. Additional Features Such As Integrated Massage And Heat Pads Assist In Muscle Relaxation And Circulation Improvement During Prolonged Therapy Sessions. The Proposed Solution Offers Cost-effective And Scalable Rehabilitation Support, Significantly Improving Functional Independence, Mobility, And Overall Patient Outcomes. This Intelligent Rehabilitation System Represents A Promising Advancement In Personalized, Safe, And Remotely Monitored Musculoskeletal Healthcare.

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Other Details

• Paper id:

  IJSARTV12I3104767

• Published in:

  Volume: 12 Issue: 3 March 2026

• Publication Date:

  2026-03-23

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