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迈向肢体创伤后患者康复历程的全面数字可穿戴跟踪系统:一篇叙述性综述

Towards a comprehensive digital wearable tracking system of the patient recovery journey after extremity trauma: a narrative review.

作者信息

Braun Benedikt J, Menger Maximilian M, Histing Tina, Marmor Meir T, Grimm Bernd, Fischer Felix, Harrison Conrad, Joeris Alexander, Lambert Simon

出版信息

EFORT Open Rev. 2025 Jul 1;10(7):445-453. doi: 10.1530/EOR-2024-0154.


DOI:10.1530/EOR-2024-0154
PMID:40591659
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12232390/
Abstract

Enabling our patients to recover back to their pre-injury state or beyond is at the core of every treatment in orthopedic trauma surgery. Current methods of assessing functional recovery after extremity trauma largely focus on individual segments of complex, compound activities, or are created for a specific purpose and for specific populations. Such assessment instruments cannot readily account for the effect of limitations in adjacent segments. Equally, the segment-specific instruments use limited domains to assess complex actions and aptitudes. Most traditional functional assessment tools do not accommodate the individual nature of function and only assess function in larger increments during follow-up clinic visits. Recent developments of both commercial and medical-grade wearable systems and associated digital technologies can overcome most of the challenges associated with traditional outcome measures. In this review, we introduce the main technologies and their potential to track patient functional recovery in relation to the treatment phase, both before and after an injury.

摘要

使我们的患者恢复到受伤前的状态甚至更好,是创伤骨科手术中每一种治疗方法的核心。目前评估肢体创伤后功能恢复的方法主要集中在复杂复合活动的各个部分,或者是为特定目的和特定人群设计的。这类评估工具无法轻易考虑相邻节段受限的影响。同样,针对特定节段的工具使用有限的领域来评估复杂的动作和能力。大多数传统的功能评估工具没有考虑到功能的个体差异,仅在后续门诊随访中以较大的增量来评估功能。商业和医疗级可穿戴系统及相关数字技术的最新发展可以克服与传统结果测量相关的大多数挑战。在本综述中,我们介绍了主要技术及其在受伤前后与治疗阶段相关的跟踪患者功能恢复的潜力。

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本文引用的文献

[1]
A comprehensive analysis of the machine learning pose estimation models used in human movement and posture analyses: A narrative review.

Heliyon. 2024-10-30

[2]
Leveraging digital twins for improved orthopaedic evaluation and treatment.

J Exp Orthop. 2024-11-10

[3]
Ecological momentary assessment of sleep, pain, and opioid use among adolescents following surgery.

Sleep Adv. 2024-6-17

[4]
Wearable Sensors in Other Medical Domains with Application Potential for Orthopedic Trauma Surgery-A Narrative Review.

J Clin Med. 2024-5-27

[5]
Functionalized orthopaedic implant as pH electrochemical sensing tool for smart diagnosis of hardware infection.

Analyst. 2024-5-28

[6]
Clinical gait analysis using video-based pose estimation: Multiple perspectives, clinical populations, and measuring change.

PLOS Digit Health. 2024-3-26

[7]
Experimental and virtual testing of bone-implant systems equipped with the AO Fracture Monitor with regard to interfragmentary movement.

Front Bioeng Biotechnol. 2024-3-8

[8]
On the reliability of single-camera markerless systems for overground gait monitoring.

Comput Biol Med. 2024-3

[9]
Wearable activity data can predict functional recovery after musculoskeletal injury: Feasibility of a machine learning approach.

Injury. 2024-2

[10]
m-Path: an easy-to-use and highly tailorable platform for ecological momentary assessment and intervention in behavioral research and clinical practice.

Front Digit Health. 2023-10-18

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