Rehab Plus - An Intelligent Rehabilitation System for Physically Challenged Patients
Many people suffer from different diseases and accidents that affect their daily lives, requiring muscle rehabilitation to get back to their daily lives. The joint disease that affects muscle is muscle dystrophy. The rehabilitation process demands prices progress measurement to assess and redesign t
2025-06-28 16:28:56 - Adil Khan
Rehab Plus - An Intelligent Rehabilitation System for Physically Challenged Patients
Project Area of Specialization Wearables and ImplantableProject SummaryMany people suffer from different diseases and accidents that affect their daily lives, requiring muscle rehabilitation to get back to their daily lives. The joint disease that affects muscle is muscle dystrophy. The rehabilitation process demands prices progress measurement to assess and redesign the plan for a patient. However, rehabilitation progress measures are difficult as the existing practices to measure progress are complex and not accurate, affecting patient recovery. As technology progresses, new solutions for rehabilitation are evolving as well. The proposed system targets the rehabilitation of physically challenged people and provides an interactive and innovative solution using cutting-edge technology. The leading architecture of the project works on motion sensors. Pre-defined tasks like exercise will be performed by the patient wearing the smart suit. The values obtained from movement through the sensors will be forwarded to the system for evaluation based on motion. The system will evaluate the freedom of muscle movement in a physically challenged person, then the initial value of the motion performed by the patient is stored in the database. A doctor can suggest specific exercises to the patient, and the proposed will analyze the movements of the patient. The system evaluates the person's improvement by comparing the average reading and the reading obtained from patients. An Artificial intelligence module will acquire the motion data from the intelligent suit and train the model to evaluate whether the person is improving and what is needed for the patient's recovery. The recovery rate and performance of the patients are monitored, observed, and stored in the database, which will be used to create progress reports/rates of recovery. All exercise/activity plans and associated results will available for planning further new rehabilitation activities.The project will be executed at Pakistan Society for Rehabilitation of Disabled (https://psrd.org.pk/ ).
Project Objectives- Design and implement an intelligent system for real-time motion monitoring.
- Deploy Machine/Deep learning techniques for training and testing for models that will provide at least 80% accurate analysis.
- Assist the doctors/caretakers to monitor the patient progress.
- Store and manage the record of the patients.
- Provide an adequate visual representation of the patient’s motion before and after the exercise so that even a non-medical person can read the graphs and tell the improvements or non-improvements within the patient body.
- Reduce the time for finding the perfect exercise for the patient that improve his/her condition.
JavaScript
Python
React
Node
Wi-Fi Router
Rokoko Smartsuit
React native
Machine learning
Benefits of the Project- The main goal of the project is to improve the performance of physically challenged people so that they can live a better life.
- The aim is to build a system that monitors the effectiveness of exercises suggested by the doctor and suggest the most effective exercise.
- A cost-effective and efficient system, which will provide a visual representation of patients’ real-time data.
- The Project will beneficiaries includes rehabilitation centers, doctors, physiotherapists, academics, and medical researchers.
The core server is the most important component of our monitoring system. It will receive the information provided by the smart suit, after that, it will display the real-time information of the patient in the form of a avatar. At the same time, it will pass that information to the Machine/Deep learning algorithm which will process the given data and identify whether the person is meeting the excerise targets. It will store the information in the system and notify the doctor and after that, if the person is physically not the stable doctor will suggest respective exercises. The exercise information is provided to our core system which will again display it in real-time and then evaluate the exercise and its effective percentage using the trained model.
Long-time data processing and storage will be performed with the help of cloud services. The acquired values of all individual parameters from the server will be saved on the cloud separately. The cloud data is secured so that only authorized users could access patients’ information.
An interactive, efficient and adaptive interface will be provided to the doctors. The doctors will be able to add and remove patients which include patient history, previous reports, etc. Moreover, the doctor will monitor the patient’s motions’ real-time graph, so that the doctor can receive the best possible observation. With the help of a graph, the doctor can take measures and can try different types of exercises and their progress will be shown in real-time so that the doctor know which specific area (bone or muscle) is affected and act accordingly.
An interactive, efficient and adaptive interface will be provided to the patients. The patients will be able to see the difference between his readings and the readings of a healthy person. Moreover, the patient can view his overall motions graph, so that he/she can know if he/she is recovering or not, as the recovery rate and improvements of the patient are shown in numbers by analyzing the graph.
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Final Deliverable of the Project HW/SW integrated systemCore Industry HealthOther Industries Medical Core Technology Wearables and ImplantablesOther Technologies Internet of Things (IoT)Sustainable Development Goals Good Health and Well-Being for PeopleRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 80000 | |||
| 3-D sensors for customised smart suit development | Equipment | 6 | 10000 | 60000 |
| Development board | Equipment | 1 | 10000 | 10000 |
| replaceable i.e. batteries, circuit components | Miscellaneous | 1 | 10000 | 10000 |