Rehabilitation Medicine, Erasmus MC, , 3000 CA Rotterdam, The Netherlands.
J Rehabil Med. 2018 Aug 22;50(8):705-712. doi: 10.2340/16501977-2358.
To develop and validate a clinically applicable and easy-to-use accelerometry-based device to measure arm use in people after stroke; the Activ8 arm use monitor (Activ8-AUM).
Development and validation study.
A total of 25 people at different stages of rehabilitation after stroke were included in this study.
The Activ8-AUM consists of 3 single-sensor Activ8s: one on the unaffected thigh and one on each wrist. Arm use was calculated by combining movement intensity of the arms with data from body posture and movements on the leg sensor. Data were divided into 2 sets: one for determining situation-specific movement intensity thresholds for arm use, and the other to validate the Activ8-AUM using video recordings.
Overall agreement between the Activ8-AUM and video recordings was 75%, sensitivity was 73% and specificity was 77%. Agreement between the different categories of arm use ranged from 42% to 93% for the affected arm and from 24% to 82% for the unaffected arm.
By combining the movement intensity threshold with body posture and movements, good agreement was reached between the Activ8-AUM and video recordings. This result, together with the easy-to-use configuration, makes the Activ8-AUM a promising device to measure arm use in people after stroke.
开发和验证一种临床适用且易于使用的基于加速度计的设备，以测量中风后患者的手臂使用情况；即 Activ8 手臂使用监测器（Activ8-AUM）。
开发和验证研究。
共有 25 名处于不同康复阶段的中风患者参与了这项研究。
Activ8-AUM 由 3 个单传感器 Activ8 组成：一个在未受影响的大腿上，另外两个分别在每个手腕上。手臂使用情况通过结合手臂的运动强度以及身体姿势和腿部传感器运动的数据来计算。数据分为 2 组：一组用于确定特定情况下手臂使用的运动强度阈值，另一组用于使用视频记录验证 Activ8-AUM。
Activ8-AUM 与视频记录的总体一致性为 75%，灵敏度为 73%，特异性为 77%。受影响手臂的不同手臂使用类别的一致性范围为 42%至 93%，未受影响手臂的一致性范围为 24%至 82%。
通过将运动强度阈值与身体姿势和运动相结合，Activ8-AUM 与视频记录之间达到了较好的一致性。这一结果，加上易于使用的配置，使 Activ8-AUM 成为测量中风后患者手臂使用情况的一种有前途的设备。
