@inproceedings{a52ede30ab604e7abe5f65bc4f59240d,
title = "Gait-monitoring wearable technology for transtibial prosthetics",
abstract = "Approximately 40,000 transtibial amputations occur each year in the United States. Current lower leg prosthetic options range from passive artificial limbs to computerized electronic models [1]. Because of insurance limitations, most patients use less sophisticated prosthetics. The average cost of lower leg prosthetics and corresponding medical care for single-leg veterans is at least $1.4 million due to increased rehabilitation times [1]. Gait training methods for transtibial amputees include extended rehabilitation processes lasting up to 9 months. These exercises provide no empirical data to analyze patient gait progress. The device design is a wearable technology that acquires gait information that is evidentiary for physicians when deciding to continue or dismiss further rehabilitation and follow up medical appointments. The technology includes a gyroscope, accelerometer, microprocessor, and electronic components housed in a 3D printed casing that is attachable to any prosthetic, or a biological leg. Pressure sensors are embedded into a sock-like foot covering that is used in tandem with the other electronics. Gait data collection was validated by comparing gait parameter values with literature values. A series of control tests on non-Amputees was conducted in order to gather standard data and develop consistent testing practices for the prototype design. These findings are used as a reference when evaluating amputee gait data against non-Amputee gait data. As the microprocessor collects data, information is stored onto a memory card used to relay data to the developed program for data analysis. Data analysis is supported by a graphical user interface via LabView which provides valuable gait data to physicians and physical therapists. Gait data analysis is expected to result in asymmetrical patterns for below-The-knee amputees compared to non-Amputees as well as abnormal pressure loads throughout the foot [1].",
keywords = "3D printing, Accelerometer, Data acquisition, Gait, Gait phases, Gyroscope, Pressure sensor, Prosthetic, Rehabilitation, Transtibial, Wearable",
author = "Hebert, {Kolby V.} and Keen, {Rachel S.} and Ing, {Derek R.K.} and Shady, {Sally F.}",
note = "Publisher Copyright: {\textcopyright} 2016 by ASME.; ASME 2016 International Mechanical Engineering Congress and Exposition, IMECE 2016 ; Conference date: 11-11-2016 Through 17-11-2016",
year = "2016",
doi = "10.1115/IMECE2016-66226",
language = "English",
series = "ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)",
booktitle = "Biomedical and Biotechnology Engineering",
}