The technological integration in biomechanics and the role played by machine learning and artificial intelligence in prosthetic design have become a boon for individuals with disabilities. Leading manufacturers of rehabilitation aids have utilized the concept of neural networks to simulate various anatomical and biomechanical functions of missing human body parts. The involvement of human interaction with various factors such as electronic circuits, software, robotics, etc., has had a revolutionary impact in the field of rehabilitation, leading to the development of devices like prosthetic legs, human body-controlled prosthetics, and exoskeletons. In this article, we will discuss the role of Biomechanics and artificial intelligence in prosthetic design and rehabilitation.
Prosthetics: Innovation in Medical Compensation
Prosthetics include any artificial device that replaces a missing body part due to injury, disease, or congenital defects. Some companies have developed various types of prosthetics, ranging from purely cosmetic to advanced devices made using titanium and carbon fibers. Regarding the manufacturing of these prosthetics using biomechanics, the process is quite similar to making medical insoles. The end of the amputated limb is digitally scanned, and then a special socket is designed to which the prosthetic is attached. Using electrodes, electrical signals from the muscles are received and sent to an electronic control board inside the prosthetic, which translates these signals into actual movements.
Understanding Prosthetic and Orthotic Engineering
The field of prosthetics focuses on creating artificial limbs, while orthotic specialists design devices to support or correct musculoskeletal conditions. Traditionally, this field relied on manual measurements, mechanical adjustments, and trial-and-error methods. Although these techniques were effective, they often lacked precision and adaptability to achieve optimal results.
Artificial Intelligence in Prosthetic Design is changing this landscape by integrating machine learning, robotics, and sensing technology. These tools transform static devices into dynamic systems capable of learning and evolving based on individual user needs. The result is a new level of functionality that mimics natural movement and intelligently responds to unique biomechanical challenges.
History of Artificial Intelligence in Prosthetics and Orthotics
The first intelligent prosthetic limb was developed by Charles A. Blatchford & Sons, Ltd in 1993, with an improved version in 1995 called the Intelligent Prosthesis Plus. In 1998, Blatchford developed an adaptive prosthetic limb combining three operating mechanisms—hydraulic, pneumatic, and microprocessor control. A fully microprocessor-controlled knee was developed in 1997 by Ottobock, known as the C-leg. In 2015, Blatchford introduced Linx, the world’s first fully integrated limb with seven sensors and four CPUs throughout the leg, allowing coordination and synchronization of the knee and ankle joints by sensing and analyzing data about the user’s movement and activities to make them more natural.
The first prosthetic hand was launched by Touch Bionics in 2007, featuring individually powered fingers and a thumb with gripping capabilities. The design was later integrated with a rotating thumb known as i-limb ultra and i-limb revolution designs, implemented using Biosim and the My i-limb application. Bebionic was commercially launched in the market in 2010 by RSL Steeper.
The concept of a brain-computer interface (BCI) implemented by neural prosthetics or mind-controlled prosthetics that can recognize real-time data and tools to achieve nearly natural function is a current requirement. A mind-controlled smart prosthetic arm based on electroencephalography was presented at the IEEE Conference in 2016 but has not yet been commercialized. Researchers are on the path to developing more complex devices that mimic the natural brain by implementing artificial intelligence on onboard computers that read and respond to neural signals transmitted to prosthetics and robotic orthotics that enhance the function of amputated and paralyzed body parts.
Application of Artificial Intelligence in Prosthetic Design
Artificial intelligence (AI) is driving a significant transformation in the engineering of prosthetics and orthotics, converting traditional devices into intelligent, adaptive tools. These innovations not only enhance mobility but also improve the overall quality of life for individuals with physical disabilities. By leveraging the latest advancements in AI for prosthetic design, these devices have become more responsive, intuitive, and integrated into daily routines. As AI progresses, it bridges the gap between human capability and technological support in ways previously deemed impossible.
The integration of AI with biomechanics has significantly improved prosthetic control, enabling amputees to operate prosthetic limbs more effectively. Recently, a brain-controlled prosthetic (a form of myoelectric control) was introduced as the latest advancement in AI-assisted control systems. A joint project between the Pentagon and Johns Hopkins University’s Applied Physics Laboratory (APL) led to the development of a modular prosthetic limb entirely controlled by brain-implanted sensors. This innovation even aims to restore the sense of touch by sending electrical pulses from the limb to the sensory cortex.
Types of AI Applications in Prosthetic Design
The application of biomechanics and Artificial Intelligence in Prosthetic Design can be categorized based on the affected area:
- Lower limb prosthetics and orthotics
- Upper limb prosthetics and orthotics
- Rehabilitation aids such as automated mobility devices
Role of Biomechanics and AI in Prosthetic Design
- Adaptive Prosthetics: AI-powered prosthetics utilize algorithms to instantly adapt to user movements and environmental changes.
- Dynamic Adjustment: AI-driven prosthetic legs adjust gait and force distribution dynamically when transitioning from flat surfaces to stairs or uneven terrain.
- Customized Design: AI-enhanced technology leverages imaging data and user feedback to design devices that offer optimal fit and improved function.
- Generative Design Tools: These tools craft prosthetic sockets that precisely fit individual anatomy, enhancing comfort and reducing pressure points.
- Neural Integration: AI-based brain-machine interfaces allow users to control prosthetics via neural signals.
- Neural Signal Interpretation: AI interprets brain activity to execute precise movements in prosthetics, providing users with greater autonomy.
- Predictive Maintenance: AI technology tracks device usage to predict wear and tear, ensuring timely maintenance and longer lifespan.
- Smart Orthotic Braces: Equipped with sensors, these braces alert users to potential issues before failures occur.
- Biomechanical Simulation: AI simulates human movement to optimize prosthetic and orthotic designs before production.
- Digital Assessment: Digital tools evaluate balance, alignment, and weight distribution, allowing for precise adjustments during design.
Technological Innovations in AI
- Generative AI in Design: AI maximizes functionality while minimizing material usage by creating efficient, user-specific designs.
- Virtual Modeling: Virtual models simulate device performance, allowing for precise adjustments and reduced development cycles.
- Self-Learning Prosthetics: Prosthetics equipped with self-learning systems improve through use and feedback over time.
- Advanced Sensor Integration: AI-driven sensors analyze movement patterns and pressure, continuously enhancing device performance.
Challenges and Ethical Considerations
- Data Privacy: Protecting sensitive user information collected by AI systems.
- Accessibility: Ensuring these technologies are available to underserved populations.
- Bias in AI Models: Mitigating errors that could affect device functionality.
- Regulatory Compliance: Meeting stringent medical standards.
Future Trends
- Neuroprosthetics: Improved brain-device communication may restore sensory feedback.
- Hybrid Bio-Devices: Combining AI with genetically modified tissues could achieve seamless body integration.
- On-Demand Manufacturing: AI and 3D printing can streamline custom prosthetic fabrication, reducing costs and wait times.
- Emotionally Intelligent Devices: Future devices may adapt to user emotions, providing additional support during stress or fatigue.
In conclusion, the role of biomechanics and Artificial Intelligence in Prosthetic Design has revolutionized the engineering of prosthetics and orthotics by transforming them into intelligent tools that enhance independence and mobility. Despite significant advancements in recent years, there remains a need for more affordable and accessible prosthetics to ensure availability for individuals with disabilities, regardless of their financial means, without hindering their opportunity to live normally.
Herein lies the role of HSI Center in offering innovative solutions in the field of medical engineering. HSI is committed to advancing the sector through a comprehensive range of specialized courses and high-quality healthcare solutions, contributing to enhancing the quality of life for individuals in need of these technologies.
Source: AI in Biomechanics: From Creating Cosmetic Prosthetics to Making Metahumans
