Development of Hardware and Software for Sensory and Motor Neuropathy Detection

Abstract

This thesis presents the development of a comprehensive hardware and software system aimed at improving the detection of sensory and motor neuropathy, particularly in cancer patients undergoing treatments like chemotherapy. The project integrates three key components: the improvement of the Quantification of Hallux Strength Assessment (QuHalEx) device, the introduction of advanced data analysis techniques, and the development of a novel, integrable vibration system for sensory neuropathy testing.Building on previous work, we developed the patented QuHalEx 2.0 device, featuring significant improvements in accuracy and usability for hallux strength evaluations. This new version includes a new pressure sensing module, faster data processing via new electronic boards, wireless communication, and a more durable mechanical design. Mobile applications for iOS and Android enable real-time data collection, analysis, and user feedback. These advancements increase the device’s sensitivity and make it more accessible even for independent use by non-specialists, reducing the need for clinical oversight. Initial testing shows that QuHalEx 2.0 can detect subtle variations in motor function and force application patterns, aiding rehabilitation and providing a standardized approach to foot biomechanics evaluation. In parallel, we explored an innovative method for analyzing motor function data using unsupervised machine learning and linear algebraic decomposition techniques. By applying hierarchical clustering and Singular Value Decomposition (SVD), we were able to cluster subjects into distinct groups solely based on their muscle activation patterns using the extracted features. This approach was particularly effective in identifying differences between control subjects and cancer patients going through chemotherapy treatments. The insights gained from this analysis offer a deeper understanding of the physiological changes that occur in these patients, with implications for improving therapeutic interventions and rehabilitation programs. To further support the detection of sensory neuropathy, we developed a vibration-based device integrated with the QuHalEx system. This device uses a Linear Resonant Actuator (LRA) to deliver precise vibrations to the patient’s toe, targeting a key area that potentially might be affected by sensory neuropathy. Its customizable settings for intensity and timing, along with its portability, make it an ideal tool for early detection, helping to prevent further nerve damage in cancer patients. Together, these innovations provide an integrated solution for assessing sensory and motor neuropathy, enhancing diagnostic accuracy and patient care. Beyond chemotherapy-related neuropathy, the system’s adaptability extends to athlete performance monitoring, rehabilitation tracking, and fall prediction in the elderly. This work represents a significant step toward more accessible and personalized healthcare solutions.