Technical evaluation of transport-derived movement trajectories during knee osteoarthritis rehabilitation.

IF 2.4 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Pooja Kumari Jha, Vikas Kumar, Jagannatha Sahoo, S Kanagaraj
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引用次数: 0

Abstract

Wearable inertial sensors enable repeated movement recording during knee osteoarthritis rehabilitation, but methods for summarizing multivariable changes across routine sessions remain exploratory. This retrospective technical evaluation examined a normalized transport-derived deviation (NTD) constructed from paired shank-mounted inertial measurement units. Seven participants contributed 46 paired-sensor sessions over 45 d. An approximately 30 s active movement segment from each session was divided into 13 windows and represented using 58 time-domain, frequency-domain and cross-sensor features. Session distributions were compared with each participant's first usable sensor session using an archived entropically regularized transport implementation. The output was normalized by the baseline-to-final-session value. Mean NTD values at the scheduled assessment days were 0.00, 0.02, 0.23, 0.63 and 1.00. 14 of the 46 displayed values were structurally constrained baseline or final values; no monotonic constraint was applied to the 32 interior observations, which formed non-decreasing trajectories. At interior scheduled days 5, 15 and 30, absolute differences between mean NTD and participant-adjusted normalized elapsed time were 0.057, 0.076 and 0.019. 21 of the 46 archived calculations reached the 500-iteration limit without meeting the 1 × 10-6residual criterion. A log-domain stabilized recomputation of all 46 primary comparisons satisfied a 1 × 10-8criterion, with a mean absolute archived-to-stabilized NTD difference of 0.004 (maximum 0.018) across the 32 interior observations. Across support-point counts of 100-1000, interior archived NTD values changed by 0.009-0.026 on average. Routine paired-shank recordings were organized into ordered longitudinal trajectories and the resulting trajectory structure was numerically reproducible under the evaluated implementation. NTD should presently be interpreted as an implementation-specific retrospective coordinate rather than a validated rehabilitation outcome. By defining the requirements for standardized movement tasks, prospective normalization and reproducible sensor placement, these findings provide a practical foundation for prospective validation of transport-based rehabilitation assessment.

膝关节骨关节炎康复过程中运输源性运动轨迹的技术评价。
可穿戴惯性传感器可以在膝关节骨关节炎康复过程中重复记录运动,但总结常规治疗过程中多变量变化的方法仍处于探索阶段。这个回顾性的技术评估检查了一个归一化的传输衍生偏差(NTD),由成对的柄装惯性测量单元构建。7名参与者在45天内完成了46次配对传感器会话。每个会话大约30秒的活动运动片段被划分为13个窗口,并使用58个时域、频域和跨传感器特征表示。使用存档的熵正则化传输实现将会话分布与每个参与者的第一个可用传感器会话进行比较。输出通过基线到最终会话的值进行规范化。计划评估日的平均NTD值分别为0.00、0.02、0.23、0.63和1.00。46个显示值中有14个是结构受限的基线值或最终值;对32个内部观测不施加单调约束,形成非递减轨迹。在内部计划的第5、15和30天,平均NTD和参与者调整的标准化经过时间的绝对差异为0.057、0.076和0.019。在46个存档的计算中,有21个达到了500次迭代的极限,而没有满足1 × 10-6残差准则。所有46个主要比较的对数域稳定重新计算满足1 × 10-8标准,32个内部观测值的平均绝对存档到稳定的NTD差为0.004(最大0.018)。在100到1000的支持点计数中,内部存档的NTD值平均变化了0.009到0.026。常规的对柄记录被组织成有序的纵向轨迹,在评估的实施下,得到的轨迹结构在数值上可重复。NTD目前应被解释为具体实施的回顾性坐标,而不是经过验证的康复结果。通过定义标准化运动任务、前瞻性规范化和可重复传感器放置的要求,这些发现为基于运输的康复评估的前瞻性验证提供了实践基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Medical Engineering & Physics
Medical Engineering & Physics 工程技术-工程:生物医学
CiteScore
4.30
自引率
4.50%
发文量
172
审稿时长
3.0 months
期刊介绍: Medical Engineering & Physics provides a forum for the publication of the latest developments in biomedical engineering, and reflects the essential multidisciplinary nature of the subject. The journal publishes in-depth critical reviews, scientific papers and technical notes. Our focus encompasses the application of the basic principles of physics and engineering to the development of medical devices and technology, with the ultimate aim of producing improvements in the quality of health care.Topics covered include biomechanics, biomaterials, mechanobiology, rehabilitation engineering, biomedical signal processing and medical device development. Medical Engineering & Physics aims to keep both engineers and clinicians abreast of the latest applications of technology to health care.
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