Use of Wearable Sensors to Assess Prosthetic Alignment in Veterans with Unilateral Transtibial Amputations

使用可穿戴传感器评估单侧小腿截肢退伍军人的假肢对准情况

• 批准号: 10483310
• 负责人: Alena Grabowski
• 金额: --
• 依托单位: VA EASTERN COLORADO HEALTH CARE SYSTEM
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10483310
• 关键词: 3-Dimensional; Acceleration; Activities of Daily Living; Affect; Algorithms; Amputation; Applications Grants; Back Pain; Biological; Biomechanics; Clinical; Consumption; Data; Degenerative polyarthritis; Development; Diabetes Mellitus; Frequencies; Goals; Gold; Hip Osteoarthritis; Impairment; Individual; Injury; Knee Osteoarthritis; Leg; Length; Limb Prosthesis; Limb structure; Lower Extremity; Machine Learning; Measurement; Measures; Methods; Motion; Obesity; Outcome; Persons; Physical Function; Plant Roots; Process; Prosthesis; Quality of life; Reaction; Rehabilitation therapy; Reporting; Research; Risk; System; Technology; Time; United States; Veterans; Visit; Visual; Walking; base; cost; cost efficient; experience; foot; functional independence; improved; indexing; limb amputation; novel; predictive modeling; prosthesis wearer; prosthetic alignment; prosthetic foot; reconstruction; sensor; sensor technology; tool; treadmill; wearable sensor technology; wireless; wireless sensor

Veterans with transtibial amputation require a prosthesis to walk and are at an increased risk of secondary injury, discomfort, and reduced quality of life. Proper prosthetic alignment can reduce these risks and improve functional ability and comfort in individuals with transtibial amputation. Currently, prosthetists (clinicians) subjectively align a prosthesis, and this may require several clinical visits. Subjective alignment relies on prosthetists’ experience and visual inspection of walking, which is prone to errors and time consuming. Thus, there is an urgent need to develop objective tools for prosthesis alignment. We aim to develop a novel method to [assess] prosthesis alignment accurately, precisely, and cost-efficiently using wireless sensor technology, which could improve quality of life and reduce secondary injury risk for the millions of prosthesis users in the United States. The goal of this study is to determine the accuracy and precision of using wearable sensors combined with an algorithm to assess prosthesis alignment in 10 Veterans with transtibial amputation. [We will ask 10 Veterans with transtibial amputation to walk on a force-treadmill at 1.25 m/s while they use a prosthesis with neutral alignment and that varies by 3° and 6° in one of three planes, the sagittal, coronal, and transverse planes, for a total of 13 prosthesis alignments. For each alignment condition, we will determine the accuracy and precision of using inertial measurement units (IMUs) combined with a numerical algorithm to estimate dynamic-to-static angle (DSA) of the prosthesis and the biological shank during walking in 10 Veterans with unilateral transtibial amputation (Aim 1), where DSA provides information regarding the orientation of the prosthesis and the biological shank. We will also determine the accuracy and precision of using IMUs combined with a numerical algorithm to estimate inter-limb symmetry indices of step length, step frequency, and contact time, which are important discrete temporal-spatial parameters during walking in 10 Veterans with unilateral transtibial amputation (Aim 2). We will compare results estimated using IMUs with results calculated using traditional gold-standard measurements of 3D motion capture and ground reaction forces. We will also investigate the association between angular changes in prosthesis alignment and DSA and interlimb symmetry indices (Aim 3).] We hypothesize that the IMU method will provide accurate (root- mean squared error [RMSE]<6°) and precise (inter-class correlation coefficient [ICC]>0.75) estimations of DSA for both legs and inter-limb symmetry indices (mean absolute percentage error [MAPE]<10%, ICC>0.75) of temporal-spatial parameters. We also hypothesize that changes in prosthesis alignment will result in significant differences in DSA using the IMU method and motion capture measurements. We hypothesize that changes in prosthesis alignment will result in significant differences in interlimb symmetry index of step length, step frequency, and ground contact time. [If our results suggest that the IMU method does not provide accurate and precise estimations of DSA or symmetry indices, we will consider using a more sophisticated prediction model (e.g. machine learning) to predict DSA using IMUs.] The outcome of our research is the development of a novel method that uses wireless IMU sensors to [assess] prosthesis alignment accurately (comparable accuracy with camera-based motion capture system and force plate ground reaction force system), quickly (within a single visit), and cost-efficiently (<$200). [We also expect that this project will provide data to support a larger grant proposal to conduct a study that investigates the relationship between prosthesis alignment and comfort level, walking symmetry, and secondary injury risk in Veterans with amputations.] In the long term, the proposed IMU method could improve the alignment process and thus maximize Veterans’ functional independence and quality of life, as well as reduce secondary injury risk.

经过胫骨截肢的退伍军人需要一个假肢来行走，并且继发的风险增加