Assessing Gait Parameter Accuracy and Asymmetry Detection: Comparative Analysis of Smartwatches, CAREN System, and IMUs for Amputee Rehabilitation

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Emily Wyatt
Isabel Huerta

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Dr. Stephanie Carey

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In recent years, the integration of wearable technology has played a pivotal role in revolutionizing the assessment of physiological parameters, particularly in the realm of gait analysis essential for evaluating mobility, notably among amputees. This study focuses on the accuracy and reliability of smartwatches in capturing gait parameters and detecting asymmetry. This evaluation is conducted in comparison to established methodologies like the Computer Assisted Rehabilitation Environment (CAREN) system and Inertial Measurement Units (IMUs), which have long been utilized in gait analysis research. The project extends its scope to validate the effectiveness of a portable monitoring system in quantifying the performance of prosthetic and orthotic devices within community settings. This is significant as it seeks to address the gap between assessments conducted in controlled laboratory environments and the practical challenges encountered in real-world scenarios. By scrutinizing the usability and practicality of these systems across diverse community settings, the study aims to advance the integration of wearable technology into clinical practice, ultimately improving patient outcomes. The findings derived from this study underscore the transformative potential of wearable technology in gait analysis and rehabilitation, particularly for individuals reliant on lower limb prostheses or orthoses. Moving forward, the research endeavors to expand its scope by collecting additional data from amputees and orthotic users, with the aim of refining our understanding and application of these technologies in clinical settings. Ultimately, this research seeks to foster a more personalized and effective approach to rehabilitation, thereby enhancing the quality of life for individuals with lower limb impairments.

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Assessing Gait Parameter Accuracy and Asymmetry Detection: Comparative Analysis of Smartwatches, CAREN System, and IMUs for Amputee Rehabilitation

In recent years, the integration of wearable technology has played a pivotal role in revolutionizing the assessment of physiological parameters, particularly in the realm of gait analysis essential for evaluating mobility, notably among amputees. This study focuses on the accuracy and reliability of smartwatches in capturing gait parameters and detecting asymmetry. This evaluation is conducted in comparison to established methodologies like the Computer Assisted Rehabilitation Environment (CAREN) system and Inertial Measurement Units (IMUs), which have long been utilized in gait analysis research. The project extends its scope to validate the effectiveness of a portable monitoring system in quantifying the performance of prosthetic and orthotic devices within community settings. This is significant as it seeks to address the gap between assessments conducted in controlled laboratory environments and the practical challenges encountered in real-world scenarios. By scrutinizing the usability and practicality of these systems across diverse community settings, the study aims to advance the integration of wearable technology into clinical practice, ultimately improving patient outcomes. The findings derived from this study underscore the transformative potential of wearable technology in gait analysis and rehabilitation, particularly for individuals reliant on lower limb prostheses or orthoses. Moving forward, the research endeavors to expand its scope by collecting additional data from amputees and orthotic users, with the aim of refining our understanding and application of these technologies in clinical settings. Ultimately, this research seeks to foster a more personalized and effective approach to rehabilitation, thereby enhancing the quality of life for individuals with lower limb impairments.