Neural Interfaces and the Integration of Brain Controlled Prosthetics
Date of Award
Spring 5-9-2026
Document Type
Thesis
Degree Name
Master of Science in Orthotics and Prosthetics
Department
Kinesiology
First Advisor
Amy Funke
Abstract
Throughout this study the question “How does the implantation of Brain-Machine Interfaces (BMI) technology with haptic feedback compare to traditional myoelectric and hybrid controlled upper extremity prosthetics?” was asked and analyzed. While upper extremity amputees have been shown to benefit from prosthetic devices, the rejection rate remains high. The absence of physical and sensory feedback makes current devices less natural to users increasing the rejection rate of these devices. While myoelectric prosthetics have continued to advance, there is still ability to increase control, sensory stimulation, and tactile information. With the combination of Brain-Machine Interfaces (BMI) and haptic feedback, users control, sensory stimulation, and satisfactions may increase. Throughout this study participants were put in one of three groups: BMI controlled prosthetics (BMI only), Myoelectric controlled prosthetics (EMG and EEG), and Hybrid controlled (BMI and EMG signals). This study sought to determine how successful BMI is and how it affects a user's capacity to engage with their prosthesis in a more natural and intuitive way. In order to achieve this research, this study focuses on neural signaling and processing, prosthetic control and sensory feedback, and clinical outcomes and functioning. The coffee cup test is used to analyzed real time interactions, accuracy, and errors that occur. The results of this study have the potential to greatly progress the field of neuroprosthetics by providing more functional and customized prosthetic solutions, thereby enhancing amputees' quality of life.