UC Santa Barbara

This dissertation explores the development and effectiveness of various physiological instruments for health optimization and diagnostic applications. It begins by studying the Bone Material Strength index (BMSi) and its significant correlation with conventional hardness measurements. This dissertation then includes the engineering development of prototype Pain Meters for the assessment of chronic pain. The research examines the potential of low-cost physiological sensors to measure chronic pain's physiological changes, establishing a significant correlation between physiological data and chronic pain at both individual and population levels. This discovery suggests the potential for developing accessible and affordable diagnostic tools for chronic pain.

The dissertation also explores pulse rate variability, developing an innovative technology like Dynamic Phase Extraction to correlate breathing rates and inter-beat intervals. This technology proves effective in providing insights into various health conditions. The research then delves into the use of portable biofeedback devices for managing chronic pain and anxiety in remote studies. Pilot studies report substantial reductions in pain and anxiety levels among participants using these devices, affirming their efficacy.

Finally, a study involving a handheld thermal biofeedback device reveals its potential to enhance sleep quality and reduce anxiety levels. The research concludes by underscoring the comprehensive capability of physiological instruments in diverse health applications, including anxiety management and sleep enhancement. The findings lay a strong foundation for future research and innovation in this field, with the potential to substantially enhance healthcare outcomes and patient well-being.