Marchand Robert C, Taylor Kelly B, Kaczynski Emily C, Richards Skye, Hutchinson Jayson B, Khodabakhsh Shayan, Chapman Ryan M
Ortho Rhode Island, Wakefield, RI 02879, USA.
Department Kinesiology, University of Rhode Island, Kingston, RI 02881, USA.
Sensors (Basel). 2025 Jun 25;25(13):3942. doi: 10.3390/s25133942.
Monitoring knee range of motion (ROM) after total knee arthroplasty (TKA) via clinically deployed wearable motion sensors is increasingly common. Prior work from our own lab showed promising results in one wearable motion sensor system; however, we did not investigate errors across different activities. Accordingly, herein we conducted secondary analyses of error using wearable inertial measurement units (IMUs) quantifying sagittal knee angles across activities in TKA patients.
After Institutional Review Board (IRB) approval, TKA patients were recruited for participation in two visits ( = 20 enrolled, = 5 lost to follow-up). Following a sensor tutorial (MotionSense, Stryker, Mahwah, NJ, USA), sensors and motion capture (MOCAP) markers were applied for data capture before surgery. One surgeon then performed TKA. An identical data capture was then completed postoperatively. MOCAP and wearable motion sensor knee angles were computed during a series of activities and compared. Two-way ANOVA evaluated the impact of time (pre- vs. post-TKA) and activity on average error. Another two-way ANOVA was completed, assessing if error at local maxima was different than at local minima and if either was different across activities.
Pre-TKA/post-TKA errors were not different. No differences were noted across activities. On average, the errors were under clinically acceptable thresholds (i.e., 4.9 ± 2.6° vs. ≤5°).
With average error ≤ 5°, these specific sensors accurately quantify knee angles before/after surgical intervention. Future investigations should explore leveraging this type of technology to evaluate preoperative function decline and postoperative function recovery.
通过临床应用的可穿戴运动传感器监测全膝关节置换术（TKA）后的膝关节活动范围（ROM）越来越普遍。我们实验室之前的工作在一个可穿戴运动传感器系统中显示出了有前景的结果；然而，我们没有研究不同活动中的误差。因此，在此我们使用可穿戴惯性测量单元（IMU）对TKA患者不同活动中的矢状面膝关节角度进行误差的二次分析。
经机构审查委员会（IRB）批准后，招募TKA患者参加两次就诊（共纳入20例，5例失访）。在进行传感器使用指导（MotionSense，史赛克公司，美国新泽西州马霍瓦）后，在手术前应用传感器和运动捕捉（MOCAP）标记进行数据采集。然后由一名外科医生进行TKA手术。术后完成相同的数据采集。在一系列活动中计算MOCAP和可穿戴运动传感器的膝关节角度并进行比较。双向方差分析评估时间（TKA术前与术后）和活动对平均误差的影响。完成另一项双向方差分析，评估局部最大值处的误差是否与局部最小值处的误差不同，以及两者在不同活动中是否存在差异。
TKA术前/术后误差无差异。不同活动之间未发现差异。平均而言，误差在临床可接受阈值以下（即4.9±2.6°对≤5°）。
平均误差≤5°，这些特定传感器能准确量化手术干预前后的膝关节角度。未来的研究应探索利用这类技术来评估术前功能衰退和术后功能恢复情况。
