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Personalized Treatments for Movement Challenges

Using technology to create tailored solutions for movement issues.

C.V. Hammond, S.T. Williams, M.M. Vega, D. Ao, G. Li, R.M. Salati, K.M. Pariser, M.S. Shourijeh, A.W. Habib, C. Patten, B.J. Fregly

― 7 min read


Tailored Solutions for Tailored Solutions for Movement Issues care for movement problems. Advanced technology offers personalized
Table of Contents

Many adults in the U.S. face serious movement problems due to conditions like osteoarthritis, stroke, spinal cord injuries, brain injuries, and limb loss. These issues can make daily life tough, causing long-term disability and high costs to society. You might be surprised to learn that nearly 19% of adults are affected by these conditions. Imagine trying to walk when your joints hurt, or when you've lost a limb – it’s no fun at all.

Despite the seriousness of these conditions, treatments often feel like trying to find the right key for a lock without knowing if it will work. Patients usually receive standard treatments not based on their unique needs, which often means they don't get the best possible care.

Why Current Treatments Fall Short

Patients frequently struggle to regain full movement after treatment for these conditions. For instance, a significant portion of people with arthritis still have trouble moving, even after surgery. Stroke survivors often don’t regain normal walking and may limp or walk slowly. This gap between what treatments can achieve and what patients actually regain can be frustrating.

Imagine going to a restaurant and ordering a meal, only to receive something that’s not quite what you wanted. That’s what’s happening with many treatments today – they’re just not quite right for the individuals needing them. This is why we need a new way to design treatments that are more personalized.

A Fresh Approach: Computational Design

One promising solution is using advanced computer technology to create tailored treatments for these movement issues. In other industries, like designing airplanes or cars, computers help designers find the best possible solutions quickly. So, why not use those same methods in medicine?

The idea is to create detailed models of a person's body using computer simulations. This allows researchers to design treatments specifically for each person's needs. You could think of it like tailoring a suit – it fits far better than something off the rack!

Bringing Technology into Movement Treatment

Using computer models, we can simulate how different treatments might work for a specific patient. For instance, if a person has issues with their knee, the model can help determine the best type of support, like a brace or an exercise plan, tailored to them. This is different from the one-size-fits-all approach that often leaves patients dissatisfied.

Imagine being able to see how your body would move with various treatment options before actually trying them! This kind of personalized care could lead to much better results and happier patients.

Challenges in Implementing This Change

Despite this exciting potential, there are some bumps in the road. First, researchers need to ensure they can personalize these computer models accurately using real data about each patient. Currently, many studies use generic models, which limits how well treatments can be tailored.

Next, the software used for these predictions needs to be easy for everyone to use. Nobody likes dealing with overly complicated technology – we want things to be user-friendly. Finally, researchers must have reliable tools to personalize these models and test the outcomes of various treatments efficiently.

The NMSM Pipeline: A New Tool

To help overcome these challenges, a new software tool called the Neuromusculoskeletal Modeling (NMSM) Pipeline has been developed. Imagine a magic toolbox filled with gadgets designed to help researchers and doctors create personalized treatments for movement problems.

This toolbox includes two main features: one that helps tailor the computer model to the patient, and another that helps optimize treatment plans. This makes it far easier to create treatments that really work for each person’s unique body and condition.

Getting Into the Details: Understanding the NMSM Pipeline

Model Personalization Toolset

The first part of this toolbox helps personalize models. Think of it as taking a standard model and fitting it to the individual, like a tailor adjusting a suit. This toolset helps adjust:

  1. Joint Models: Personalizing how joints are represented.
  2. Muscle-Tendon Models: Customizing muscle behaviors to reflect the patient's actual strength and healing.
  3. Neural Control Models: Adjusting how the brain’s signals to the muscles are modeled.
  4. Ground Contact Models: Personalizing how the feet interact with the ground to improve walking simulations.

This process ensures the model reflects reality as closely as possible, making the predictions from the simulations more accurate.

Treatment Optimization Toolset

Once the models are personalized, the second part helps design the best treatments. It works like this:

  1. Tracking Optimization: This step simulates how a patient should ideally move and what they would need for their movements to be most effective.

  2. Verification Optimization: Think of this as a quality check to make sure the predictions from the tracking optimization step hold up when tested again.

  3. Design Optimization: Finally, in this step, different treatment options are explored to see which ones yield the best results for the patient’s specific needs.

It’s like making a recipe: you start with the basic ingredients, check the taste, and then adjust the seasoning until you get it just right.

Real-Life Example: Improving Walking After a Stroke

Let’s say we have a patient who is recovering from a stroke and wants to walk faster without using more energy. The NMSM Pipeline can help design a treatment plan that focuses on improving specific muscle control while keeping energy use the same.

First, the pipeline personalizes the model based on the patient’s specific data, like how they currently walk. Next, it runs simulations to test different ways to improve their walking speed while keeping an eye on energy expenditure.

With this kind of tailored approach, the patient might be able to increase their walking speed significantly without feeling exhausted. It’s like getting a new set of wheels that actually make your bike go faster without pedaling harder!

The Importance of Collaboration

To make all this work, it’s crucial for researchers and clinicians to work together closely. Like any good partnership, they can share insights and improve the models and treatments they design.

This teamwork helps bridge the gap between theoretical modeling and practical applications in clinics. If researchers can see how the models work in real-life situations, this feedback can help improve future iterations of the tools.

Looking Ahead: Future Enhancements

The NMSM Pipeline is just the beginning. Many future enhancements are planned to widen the range of conditions it can treat. Imagine being able to design treatments not just for stroke recovery but also for athletes recovering from injuries, or people with chronic pain.

This next level of development could make it possible to personalize treatments for various activities, whether someone is running, walking, or playing sports. The goal is to help everyone move better, no matter their condition.

Conclusion: A Brighter Future for Movement

The NMSM Pipeline represents real hope for people facing movement challenges. By using advanced technology to create personalized solutions, we can improve the way treatments are designed and delivered.

Much like fitting a suit or a pair of shoes, personalized treatment means comfort and effectiveness. Patients can look forward to better outcomes, more independence, and improved quality of life.

So, whether you're recovering from an injury, managing a chronic condition, or just curious about how technology can help with movement, remember that personalized care makes a difference. With tools like the NMSM Pipeline, the future of movement is looking bright and tailored just for you.

Original Source

Title: The Neuromusculoskeletal Modeling Pipeline: MATLAB-based Model Personalization and Treatment Optimization Functionality for OpenSim

Abstract: Neuromusculoskeletal injuries including osteoarthritis, stroke, spinal cord injury, and traumatic brain injury affect roughly 19% of the U.S. adult population. Standardized interventions have produced suboptimal functional outcomes due to the unique treatment needs of each patient. Strides have been made to utilize computational models to develop personalized treatments, but researchers and clinicians have yet to cross the "valley of death" between fundamental research and clinical usefulness. This article introduces the Neuromusculoskeletal Modeling (NMSM) Pipeline, two MATLAB-based toolsets that add Model Personalization and Treatment Optimization functionality to OpenSim. The two toolsets facilitate computational design of individualized treatments for neuromusculoskeletal impairments through the use of personalized neuromusculoskeletal models and predictive simulation. The Model Personalization toolset contains four tools for personalizing 1) joint structure models, 2) muscle-tendon models, 3) neural control models, and 4) foot-ground contact models. The Treatment Optimization toolset contains three tools for predicting and optimizing a patients functional outcome for different treatment options using a patients personalized neuromusculoskeletal model with direct collocation optimal control methods. Support for user-defined cost functions and model modification functions facilitate simulation of a vast number of possible treatments. An NMSM Pipeline use case is presented for an individual post-stroke with impaired walking function, where the goal was to predict how the subjects neural control could be changed to improve walking speed without increasing metabolic cost. First the Model Personalization toolset was used to develop a personalized neuromusculoskeletal model of the subject starting from a generic OpenSim full-body model and experimental walking data (video motion capture, ground reaction, and electromyography) collected from the subject at his self-selected speed. Next the Treatment Optimization toolset was used with the personalized model to predict how the subject could recruit existing muscle synergies more effectively to reduce muscle activation disparities between the paretic and non-paretic legs. The software predicted that the subject could increase his walking speed by 60% without increasing his metabolic cost per unit time by modifying existing muscle synergy recruitment. This hypothetical treatment demonstrates how NMSM Pipeline tools could allow researchers working collaboratively with clinicians to develop personalized neuromusculoskeletal models of individual patients and to perform predictive simulations for the purpose of designing personalized treatments that maximize a patients post-treatment functional outcome.

Authors: C.V. Hammond, S.T. Williams, M.M. Vega, D. Ao, G. Li, R.M. Salati, K.M. Pariser, M.S. Shourijeh, A.W. Habib, C. Patten, B.J. Fregly

Last Update: 2024-11-20 00:00:00

Language: English

Source URL: https://www.biorxiv.org/content/10.1101/2024.10.30.620965

Source PDF: https://www.biorxiv.org/content/10.1101/2024.10.30.620965.full.pdf

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to biorxiv for use of its open access interoperability.

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